From 9d52347dc67d3dc28a7bd23084911113287482d5 Mon Sep 17 00:00:00 2001 From: Toon Hasenack Date: Thu, 4 Apr 2024 15:01:42 +0200 Subject: [PATCH 01/70] PHENIX implementation, eta still needs to be done --- .../PHENIX_1JET_200GEV_ALL/data.yaml | 9 ++ .../PHENIX_1JET_200GEV_ALL/filter.py | 87 +++++++++++++++++ .../PHENIX_1JET_200GEV_ALL/kinematics.yaml | 97 +++++++++++++++++++ .../PHENIX_1JET_200GEV_ALL/metadata.yaml | 52 ++++++++++ .../rawdata/Table_18.yaml | 48 +++++++++ .../PHENIX_1JET_200GEV_ALL/uncertainties.yaml | 14 +++ 6 files changed, 307 insertions(+) create mode 100644 nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV_ALL/data.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV_ALL/filter.py create mode 100644 nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV_ALL/kinematics.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV_ALL/metadata.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV_ALL/rawdata/Table_18.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV_ALL/uncertainties.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV_ALL/data.yaml b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV_ALL/data.yaml new file mode 100644 index 0000000000..a91ae42005 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV_ALL/data.yaml @@ -0,0 +1,9 @@ +data_central: + - -0.0007 + - 0.0039 + - -0.0014 + - -0.0005 + - 0.0058 + - 0.0034 + - 0.0077 + - -0.0181 diff --git a/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV_ALL/filter.py b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV_ALL/filter.py new file mode 100644 index 0000000000..995c716ab9 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV_ALL/filter.py @@ -0,0 +1,87 @@ +import glob + +import pandas as pd +import yaml + + +def read_data(fnames): + df = pd.DataFrame() + for fname in fnames: + with open(fname, "r") as file: + data = yaml.safe_load(file) + + pTbsub = data["independent_variables"][0]["values"] + pTsub = data["dependent_variables"][0]["values"] + ALLsub = data["dependent_variables"][1]["values"] + + for i in range(len(ALLsub)): + df = pd.concat( + [ + df, + pd.DataFrame( + { + "pT": [pTsub[i]["value"]], + "pTmin": [pTbsub[i]["low"]], + "pTmax": [pTbsub[i]["high"]], + "eta": [0.0], + "sqrts": [200], + "ALL": [ALLsub[i]["value"]], + "stat": [ALLsub[i]["errors"][0]["symerror"]], + } + ), + ], + ignore_index=True, + ) + + return df + + +def write_data(df): + data_central = [] + for i in range(len(df["ALL"])): + data_central.append(float(df.loc[i, "ALL"])) + + data_central_yaml = {"data_central": data_central} + with open("data.yaml", "w") as file: + yaml.dump(data_central_yaml, file, sort_keys=False) + + # Write kin file + kin = [] + for i in range(len(df["ALL"])): + kin_value = { + "pT": {"min": float(df.loc[i, "pTmin"]), "mid": float(df.loc[i, "pT"]), "max": float(df.loc[i, "pTmax"])}, + "sqrts": {"min": None, "mid": float(df.loc[i, "sqrts"]), "max": None}, + "eta": {"min": None, "mid": float(df.loc[i, "eta"]), "max": None}, + } + kin.append(kin_value) + + kinematics_yaml = {"bins": kin} + + with open("kinematics.yaml", "w") as file: + yaml.dump(kinematics_yaml, file, sort_keys=False) + + # Write unc file + error = [] + for idx, i in enumerate(range(len(df))): + e = { + "stat": float(df.loc[i, "stat"]), + } + error.append(e) + + error_definition = { + "stat": {"description": "statistical uncertainty", "treatment": "ADD", "type": "UNCORR"}, + } + + uncertainties_yaml = {"definitions": error_definition, "bins": error} + + with open("uncertainties.yaml", "w") as file: + yaml.dump(uncertainties_yaml, file, sort_keys=False) + + +if __name__ == "__main__": + # TODO: Need to generate `observable` cards and corresponding + # pineappl grids and FK tables as the orders have changed!!!! + fnames = glob.glob("rawdata/*.yaml") + nnames = sorted([i for i in fnames]) + df = read_data(nnames) + write_data(df) diff --git a/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV_ALL/kinematics.yaml b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV_ALL/kinematics.yaml new file mode 100644 index 0000000000..45e1315eb4 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV_ALL/kinematics.yaml @@ -0,0 +1,97 @@ +bins: +- pT: + min: 2.0 + mid: 2.4 + max: 3.0 + sqrts: + min: null + mid: 200.0 + max: null + eta: + min: null + mid: 0.0 + max: null +- pT: + min: 3.0 + mid: 3.4 + max: 4.0 + sqrts: + min: null + mid: 200.0 + max: null + eta: + min: null + mid: 0.0 + max: null +- pT: + min: 4.0 + mid: 4.4 + max: 5.0 + sqrts: + min: null + mid: 200.0 + max: null + eta: + min: null + mid: 0.0 + max: null +- pT: + min: 5.0 + mid: 5.4 + max: 6.0 + sqrts: + min: null + mid: 200.0 + max: null + eta: + min: null + mid: 0.0 + max: null +- pT: + min: 6.0 + mid: 6.4 + max: 7.0 + sqrts: + min: null + mid: 200.0 + max: null + eta: + min: null + mid: 0.0 + max: null +- pT: + min: 7.0 + mid: 7.4 + max: 8.0 + sqrts: + min: null + mid: 200.0 + max: null + eta: + min: null + mid: 0.0 + max: null +- pT: + min: 8.0 + mid: 8.8 + max: 10.0 + sqrts: + min: null + mid: 200.0 + max: null + eta: + min: null + mid: 0.0 + max: null +- pT: + min: 10.0 + mid: 10.8 + max: 12.0 + sqrts: + min: null + mid: 200.0 + max: null + eta: + min: null + mid: 0.0 + max: null diff --git a/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV_ALL/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV_ALL/metadata.yaml new file mode 100644 index 0000000000..bace4835dc --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV_ALL/metadata.yaml @@ -0,0 +1,52 @@ +setname: "PHENIX_1JET_200GEV_ALL" + +nnpdf_metadata: + experiment: "PHENIX" + nnpdf31_process: "JET_POL" + +iNSPIRE: + url: "https://inspirehep.net/literature/870912" +hepdata: + url: "https://www.hepdata.net/record/ins870912" + version: 1 + +version: 1 +version_comment: "Initial implementation" + +implemented_observables: + - observable: + { + description: "ALL w.r.t. pT", + label: '$\frac{d^2\sigma}{dq^{2}d\langle pT \rangle}$', + units: "$pb/GeV^3$", + } + observable_name: ALL + process_type: JET_POL + ndata: 8 + tables: [18] + kinematics: + variables: + pT: + { + description: "mean transverse momentum", + label: '$\langle pT \rangle$', + units: "$GeV$", + } + sqrts: + { description: "COM energy", label: '$\sqrt{s}$', units: "$GeV$" } + eta: { description: "pseudorapidity", label: '$\eta$', units: "" } + + file: kinematics.yaml + data_central: data.yaml + data_uncertainties: + - uncertainties.yaml + kinematic_coverage: [pT, sqrts, eta] + plotting: + kinematics_override: identity + dataset_label: "$A_{LL}$" + plot_x: pT + x_scale: log + y_label: "$A_{LL}$" + theory: + FK_tables: + - - PHENIX_1JET_200GEV_ALL diff --git a/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV_ALL/rawdata/Table_18.yaml b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV_ALL/rawdata/Table_18.yaml new file mode 100644 index 0000000000..5dcc2a6066 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV_ALL/rawdata/Table_18.yaml @@ -0,0 +1,48 @@ +independent_variables: +- header: {name: '$p^{reco}_T$ Bins (GeV/$c$)'} + values: + - {low: 2, high: 3} + - {low: 3, high: 4} + - {low: 4, high: 5} + - {low: 5, high: 6} + - {low: 6, high: 7} + - {low: 7, high: 8} + - {low: 8, high: 10} + - {low: 10, high: 12} +dependent_variables: +- header: {name: '$$ (GeV/$c$)'} + values: + - value: 2.4 + - value: 3.4 + - value: 4.4 + - value: 5.4 + - value: 6.4 + - value: 7.4 + - value: 8.8 + - value: 10.8 +- header: {name: 'Jet $A_{LL}$'} + values: + - value: -0.0007 + errors: + - {symerror: 7.7e-5, label: 'stat.'} + - value: 0.0039 + errors: + - {symerror: 8.2e-4, label: 'stat.'} + - value: -0.0014 + errors: + - {symerror: 5.2e-4, label: 'stat.'} + - value: -0.0005 + errors: + - {symerror: 3.0e-4, label: 'stat.'} + - value: 0.0058 + errors: + - {symerror: 5.2e-3, label: 'stat.'} + - value: 0.0034 + errors: + - {symerror: 4.5e-3, label: 'stat.'} + - value: 0.0077 + errors: + - {symerror: 1.2e-2, label: 'stat.'} + - value: -0.0181 + errors: + - {symerror: 5.1e-2, label: 'stat.'} diff --git a/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV_ALL/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV_ALL/uncertainties.yaml new file mode 100644 index 0000000000..6b799cce3d --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV_ALL/uncertainties.yaml @@ -0,0 +1,14 @@ +definitions: + stat: + description: statistical uncertainty + treatment: ADD + type: UNCORR +bins: +- stat: 7.7e-05 +- stat: 0.00082 +- stat: 0.00052 +- stat: 0.0003 +- stat: 0.0052 +- stat: 0.0045 +- stat: 0.012 +- stat: 0.051 From 90f5342950cffd66d2fec14425e3691df5b5436d Mon Sep 17 00:00:00 2001 From: Toon Hasenack Date: Thu, 4 Apr 2024 17:02:12 +0200 Subject: [PATCH 02/70] pre-commit change --- .../new_commondata/PHENIX_1JET_200GEV_ALL/filter.py | 12 +++++++----- 1 file changed, 7 insertions(+), 5 deletions(-) diff --git a/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV_ALL/filter.py b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV_ALL/filter.py index 995c716ab9..38a37d0e0a 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV_ALL/filter.py +++ b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV_ALL/filter.py @@ -49,7 +49,11 @@ def write_data(df): kin = [] for i in range(len(df["ALL"])): kin_value = { - "pT": {"min": float(df.loc[i, "pTmin"]), "mid": float(df.loc[i, "pT"]), "max": float(df.loc[i, "pTmax"])}, + "pT": { + "min": float(df.loc[i, "pTmin"]), + "mid": float(df.loc[i, "pT"]), + "max": float(df.loc[i, "pTmax"]), + }, "sqrts": {"min": None, "mid": float(df.loc[i, "sqrts"]), "max": None}, "eta": {"min": None, "mid": float(df.loc[i, "eta"]), "max": None}, } @@ -63,13 +67,11 @@ def write_data(df): # Write unc file error = [] for idx, i in enumerate(range(len(df))): - e = { - "stat": float(df.loc[i, "stat"]), - } + e = {"stat": float(df.loc[i, "stat"])} error.append(e) error_definition = { - "stat": {"description": "statistical uncertainty", "treatment": "ADD", "type": "UNCORR"}, + "stat": {"description": "statistical uncertainty", "treatment": "ADD", "type": "UNCORR"} } uncertainties_yaml = {"definitions": error_definition, "bins": error} From 577512c0c392b682d420fe70c575c26827503e8e Mon Sep 17 00:00:00 2001 From: Toon Hasenack Date: Fri, 12 Apr 2024 20:32:15 +0200 Subject: [PATCH 03/70] implemented changes for PHENIX --- .../data.yaml | 0 .../filter.py | 10 ++++++++-- .../kinematics.yaml | 0 .../metadata.yaml | 17 ++++++++--------- .../rawdata/Table_18.yaml | 0 .../uncertainties.yaml | 0 6 files changed, 16 insertions(+), 11 deletions(-) rename nnpdf_data/nnpdf_data/new_commondata/{PHENIX_1JET_200GEV_ALL => PHENIX_1JET_200GEV}/data.yaml (100%) rename nnpdf_data/nnpdf_data/new_commondata/{PHENIX_1JET_200GEV_ALL => PHENIX_1JET_200GEV}/filter.py (89%) rename nnpdf_data/nnpdf_data/new_commondata/{PHENIX_1JET_200GEV_ALL => PHENIX_1JET_200GEV}/kinematics.yaml (100%) rename nnpdf_data/nnpdf_data/new_commondata/{PHENIX_1JET_200GEV_ALL => PHENIX_1JET_200GEV}/metadata.yaml (76%) rename nnpdf_data/nnpdf_data/new_commondata/{PHENIX_1JET_200GEV_ALL => PHENIX_1JET_200GEV}/rawdata/Table_18.yaml (100%) rename nnpdf_data/nnpdf_data/new_commondata/{PHENIX_1JET_200GEV_ALL => PHENIX_1JET_200GEV}/uncertainties.yaml (100%) diff --git a/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV_ALL/data.yaml b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/data.yaml similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV_ALL/data.yaml rename to nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/data.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV_ALL/filter.py b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/filter.py similarity index 89% rename from nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV_ALL/filter.py rename to nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/filter.py index 38a37d0e0a..4542947712 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV_ALL/filter.py +++ b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/filter.py @@ -24,6 +24,8 @@ def read_data(fnames): "pTmin": [pTbsub[i]["low"]], "pTmax": [pTbsub[i]["high"]], "eta": [0.0], + "eta_min": [-0.35], + "eta_max": [0.35], "sqrts": [200], "ALL": [ALLsub[i]["value"]], "stat": [ALLsub[i]["errors"][0]["symerror"]], @@ -55,7 +57,11 @@ def write_data(df): "max": float(df.loc[i, "pTmax"]), }, "sqrts": {"min": None, "mid": float(df.loc[i, "sqrts"]), "max": None}, - "eta": {"min": None, "mid": float(df.loc[i, "eta"]), "max": None}, + "eta": { + "min": float(df.loc[i, "eta_min"]), + "mid": float(df.loc[i, "eta"]), + "max": float(df.loc[i, "eta_max"]), + }, } kin.append(kin_value) @@ -66,7 +72,7 @@ def write_data(df): # Write unc file error = [] - for idx, i in enumerate(range(len(df))): + for i in range(len(df)): e = {"stat": float(df.loc[i, "stat"])} error.append(e) diff --git a/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV_ALL/kinematics.yaml b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/kinematics.yaml similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV_ALL/kinematics.yaml rename to nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/kinematics.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV_ALL/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/metadata.yaml similarity index 76% rename from nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV_ALL/metadata.yaml rename to nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/metadata.yaml index bace4835dc..d608a07978 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV_ALL/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/metadata.yaml @@ -1,8 +1,8 @@ -setname: "PHENIX_1JET_200GEV_ALL" +setname: "PHENIX_1JET_200GEV" nnpdf_metadata: experiment: "PHENIX" - nnpdf31_process: "JET_POL" + nnpdf31_process: "JETS" iNSPIRE: url: "https://inspirehep.net/literature/870912" @@ -14,12 +14,7 @@ version: 1 version_comment: "Initial implementation" implemented_observables: - - observable: - { - description: "ALL w.r.t. pT", - label: '$\frac{d^2\sigma}{dq^{2}d\langle pT \rangle}$', - units: "$pb/GeV^3$", - } + - observable: { description: "ALL w.r.t. pT", label: "$A_{LL}$", units: "" } observable_name: ALL process_type: JET_POL ndata: 8 @@ -33,7 +28,11 @@ implemented_observables: units: "$GeV$", } sqrts: - { description: "COM energy", label: '$\sqrt{s}$', units: "$GeV$" } + { + description: "center of mass energy", + label: '$\sqrt{s}$', + units: "$GeV$", + } eta: { description: "pseudorapidity", label: '$\eta$', units: "" } file: kinematics.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV_ALL/rawdata/Table_18.yaml b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/rawdata/Table_18.yaml similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV_ALL/rawdata/Table_18.yaml rename to nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/rawdata/Table_18.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV_ALL/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/uncertainties.yaml similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV_ALL/uncertainties.yaml rename to nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/uncertainties.yaml From 49a3755e50ff5f866a30f6451a14d29ff0d3729d Mon Sep 17 00:00:00 2001 From: toonhasenack Date: Mon, 15 Apr 2024 15:12:43 +0200 Subject: [PATCH 04/70] STAR2012 and STAR2015 addition --- .../STAR2012_1JET_200GEV/data.yaml | 20 + .../STAR2012_1JET_200GEV/filter.py | 115 ++++ .../STAR2012_1JET_200GEV/kinematics.yaml | 229 +++++++ .../STAR2012_1JET_200GEV/metadata.yaml | 52 ++ .../rawdata/Table_14.yaml | 69 ++ .../rawdata/Table_15.yaml | 63 ++ .../STAR2012_1JET_200GEV/uncertainties.yaml | 48 ++ .../STAR2015_1JET_200GEV/data.yaml | 23 + .../STAR2015_1JET_200GEV/filter.py | 123 ++++ .../STAR2015_1JET_200GEV/kinematics.yaml | 265 ++++++++ .../STAR2015_1JET_200GEV/metadata.yaml | 52 ++ .../rawdata/Table_3_ALL.csv | 12 + .../rawdata/Table_3_pT.csv | 12 + .../rawdata/Table_4_ALL.csv | 12 + .../rawdata/Table_4_pT.csv | 12 + .../STAR2015_1JET_200GEV/rawdata/Table_5.csv | 602 ++++++++++++++++++ .../STAR2015_1JET_200GEV/uncertainties.yaml | 54 ++ 17 files changed, 1763 insertions(+) create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR2012_1JET_200GEV/data.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR2012_1JET_200GEV/filter.py create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR2012_1JET_200GEV/kinematics.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR2012_1JET_200GEV/metadata.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR2012_1JET_200GEV/rawdata/Table_14.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR2012_1JET_200GEV/rawdata/Table_15.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR2012_1JET_200GEV/uncertainties.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR2015_1JET_200GEV/data.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR2015_1JET_200GEV/filter.py create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR2015_1JET_200GEV/kinematics.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR2015_1JET_200GEV/metadata.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR2015_1JET_200GEV/rawdata/Table_3_ALL.csv create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR2015_1JET_200GEV/rawdata/Table_3_pT.csv create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR2015_1JET_200GEV/rawdata/Table_4_ALL.csv create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR2015_1JET_200GEV/rawdata/Table_4_pT.csv create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR2015_1JET_200GEV/rawdata/Table_5.csv create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR2015_1JET_200GEV/uncertainties.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR2012_1JET_200GEV/data.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR2012_1JET_200GEV/data.yaml new file mode 100644 index 0000000000..7120f27208 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR2012_1JET_200GEV/data.yaml @@ -0,0 +1,20 @@ +data_central: +- 0.0053 +- -0.0027999999999999995 +- 0.0021999999999999997 +- 0.015 +- -0.0058000000000000005 +- 0.0036000000000000003 +- -0.013800000000000002 +- -0.0522 +- 0.0569 +- 0.148 +- 0.0033 +- 0.00365 +- 0.01025 +- 0.00135 +- 0.00925 +- 0.02595 +- 0.026850000000000002 +- 0.02375 +- 0.0139 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR2012_1JET_200GEV/filter.py b/nnpdf_data/nnpdf_data/new_commondata/STAR2012_1JET_200GEV/filter.py new file mode 100644 index 0000000000..5b7182fb80 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR2012_1JET_200GEV/filter.py @@ -0,0 +1,115 @@ +import glob +import sys + +import pandas as pd +import yaml + +sys.path.append('../') +from ATLAS_TTBAR_13TEV_HADR_DIF.utils import symmetrize_errors + + +def read_data(fnames): + df = pd.DataFrame() + for fname in fnames: + with open(fname, "r") as file: + data = yaml.safe_load(file) + if "14" in fname: + eta_min = 0.2 + eta_max = 0.8 + + elif "15" in fname: + eta_min = -0.7 + eta_max = 0.9 + + else: + print("ERROR: Unknown table number detected! Check input files.") + + pTsub = data["independent_variables"][0]["values"] + ALLsub = data["dependent_variables"][0]["values"] + + for i in range(len(ALLsub)): + df = pd.concat( + [ + df, + pd.DataFrame( + { + "pT": [pTsub[i]["value"]], + "pTmin": [pTsub[i]["low"]], + "pTmax": [pTsub[i]["high"]], + "eta": [(eta_min + eta_max) / 2], + "eta_min": [eta_min], + "eta_max": [eta_max], + "sqrts": [200], + "ALL": [ALLsub[i]["value"] * 1e-3], + "stat": [ALLsub[i]["errors"]["symerror"]["value"] * 1e-3], + "sys_min": [ALLsub[i]["errors"]["asymerror"]["minus"] * 1e-3], + "sys_max": [ALLsub[i]["errors"]["asymerror"]["plus"] * 1e-3], + } + ), + ], + ignore_index=True, + ) + for i in range(len(df)): + shift, unc = symmetrize_errors(df.loc[i, "sys_max"], df.loc[i, "sys_min"]) + df.loc[i, "sys"] = unc + df.loc[i, "ALL"] += shift + + return df + + +def write_data(df): + data_central = [] + for i in range(len(df["ALL"])): + data_central.append(float(df.loc[i, "ALL"])) + + data_central_yaml = {"data_central": data_central} + with open("data.yaml", "w") as file: + yaml.dump(data_central_yaml, file, sort_keys=False) + + # Write kin file + kin = [] + for i in range(len(df["ALL"])): + kin_value = { + "pT": { + "min": float(df.loc[i, "pTmin"]), + "mid": float(df.loc[i, "pT"]), + "max": float(df.loc[i, "pTmax"]), + }, + "sqrts": {"min": None, "mid": float(df.loc[i, "sqrts"]), "max": None}, + "eta": { + "min": float(df.loc[i, "eta_min"]), + "mid": float(df.loc[i, "eta"]), + "max": float(df.loc[i, "eta_max"]), + }, + } + kin.append(kin_value) + + kinematics_yaml = {"bins": kin} + + with open("kinematics.yaml", "w") as file: + yaml.dump(kinematics_yaml, file, sort_keys=False) + + # Write unc file + error = [] + for i in range(len(df)): + e = {"stat": float(df.loc[i, "stat"]), "sys": float(df.loc[i, "sys"])} + error.append(e) + + error_definition = { + "stat": {"description": "statistical uncertainty", "treatment": "ADD", "type": "UNCORR"}, + "sys": {"description": "systematic uncertainty", "treatment": "ADD", "type": "UNCORR"}, + } + + uncertainties_yaml = {"definitions": error_definition, "bins": error} + + with open("uncertainties.yaml", "w") as file: + yaml.dump(uncertainties_yaml, file, sort_keys=False) + + +if __name__ == "__main__": + # TODO: Need to generate `observable` cards and corresponding + # pineappl grids and FK tables as the orders have changed!!!! + fnames = glob.glob("rawdata/*.yaml") + nnames = sorted([i for i in fnames]) + df = read_data(nnames) + write_data(df) diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR2012_1JET_200GEV/kinematics.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR2012_1JET_200GEV/kinematics.yaml new file mode 100644 index 0000000000..f183806bd3 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR2012_1JET_200GEV/kinematics.yaml @@ -0,0 +1,229 @@ +bins: +- pT: + min: 4.9 + mid: 5.3 + max: 5.7 + sqrts: + min: null + mid: 200.0 + max: null + eta: + min: 0.2 + mid: 0.5 + max: 0.8 +- pT: + min: 5.9 + mid: 6.3 + max: 6.8 + sqrts: + min: null + mid: 200.0 + max: null + eta: + min: 0.2 + mid: 0.5 + max: 0.8 +- pT: + min: 6.7 + mid: 7.1 + max: 7.7 + sqrts: + min: null + mid: 200.0 + max: null + eta: + min: 0.2 + mid: 0.5 + max: 0.8 +- pT: + min: 8.1 + mid: 8.7 + max: 9.4 + sqrts: + min: null + mid: 200.0 + max: null + eta: + min: 0.2 + mid: 0.5 + max: 0.8 +- pT: + min: 10.0 + mid: 10.7 + max: 11.5 + sqrts: + min: null + mid: 200.0 + max: null + eta: + min: 0.2 + mid: 0.5 + max: 0.8 +- pT: + min: 12.3 + mid: 13.1 + max: 14.0 + sqrts: + min: null + mid: 200.0 + max: null + eta: + min: 0.2 + mid: 0.5 + max: 0.8 +- pT: + min: 15.2 + mid: 16.0 + max: 17.0 + sqrts: + min: null + mid: 200.0 + max: null + eta: + min: 0.2 + mid: 0.5 + max: 0.8 +- pT: + min: 18.4 + mid: 19.4 + max: 20.7 + sqrts: + min: null + mid: 200.0 + max: null + eta: + min: 0.2 + mid: 0.5 + max: 0.8 +- pT: + min: 22.4 + mid: 23.6 + max: 25.1 + sqrts: + min: null + mid: 200.0 + max: null + eta: + min: 0.2 + mid: 0.5 + max: 0.8 +- pT: + min: 26.7 + mid: 28.1 + max: 29.9 + sqrts: + min: null + mid: 200.0 + max: null + eta: + min: 0.2 + mid: 0.5 + max: 0.8 +- pT: + min: 7.8 + mid: 8.5 + max: 9.3 + sqrts: + min: null + mid: 200.0 + max: null + eta: + min: -0.7 + mid: 0.10000000000000003 + max: 0.9 +- pT: + min: 9.5 + mid: 10.3 + max: 11.1 + sqrts: + min: null + mid: 200.0 + max: null + eta: + min: -0.7 + mid: 0.10000000000000003 + max: 0.9 +- pT: + min: 11.3 + mid: 12.2 + max: 13.1 + sqrts: + min: null + mid: 200.0 + max: null + eta: + min: -0.7 + mid: 0.10000000000000003 + max: 0.9 +- pT: + min: 13.4 + mid: 14.4 + max: 15.4 + sqrts: + min: null + mid: 200.0 + max: null + eta: + min: -0.7 + mid: 0.10000000000000003 + max: 0.9 +- pT: + min: 16.1 + mid: 17.2 + max: 18.3 + sqrts: + min: null + mid: 200.0 + max: null + eta: + min: -0.7 + mid: 0.10000000000000003 + max: 0.9 +- pT: + min: 19.2 + mid: 20.5 + max: 21.8 + sqrts: + min: null + mid: 200.0 + max: null + eta: + min: -0.7 + mid: 0.10000000000000003 + max: 0.9 +- pT: + min: 22.9 + mid: 24.4 + max: 25.9 + sqrts: + min: null + mid: 200.0 + max: null + eta: + min: -0.7 + mid: 0.10000000000000003 + max: 0.9 +- pT: + min: 27.6 + mid: 29.4 + max: 31.2 + sqrts: + min: null + mid: 200.0 + max: null + eta: + min: -0.7 + mid: 0.10000000000000003 + max: 0.9 +- pT: + min: 32.0 + mid: 34.7 + max: 37.3 + sqrts: + min: null + mid: 200.0 + max: null + eta: + min: -0.7 + mid: 0.10000000000000003 + max: 0.9 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR2012_1JET_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR2012_1JET_200GEV/metadata.yaml new file mode 100644 index 0000000000..4664eca4ef --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR2012_1JET_200GEV/metadata.yaml @@ -0,0 +1,52 @@ +setname: "STAR_1JET_200GEV" + +nnpdf_metadata: + experiment: "STAR" + nnpdf31_process: "JETS" + +iNSPIRE: + url: "https://inspirehep.net/literature/1114529" +hepdata: + url: "https://www.hepdata.net/record/ins1114529" + version: 1 + +version: 1 +version_comment: "Initial implementation" + +implemented_observables: + - observable: { description: "ALL w.r.t. pT", label: "$A_{LL}$", units: "" } + observable_name: ALL + process_type: JET_POL + ndata: 19 + tables: [14, 15] + npoints: [10, 9] + kinematics: + variables: + pT: + { + description: "mean transverse momentum", + label: '$\langle pT \rangle$', + units: "$GeV$", + } + sqrts: + { + description: "center of mass energy", + label: '$\sqrt{s}$', + units: "$GeV$", + } + eta: { description: "pseudorapidity", label: '$\eta$', units: "" } + + file: kinematics.yaml + data_central: data.yaml + data_uncertainties: + - uncertainties.yaml + kinematic_coverage: [pT, sqrts, eta] + plotting: + kinematics_override: identity + dataset_label: "$A_{LL}$" + plot_x: pT + x_scale: log + y_label: "$A_{LL}$" + theory: + FK_tables: + - - STAR_1JET_200GEV_ALL diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR2012_1JET_200GEV/rawdata/Table_14.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR2012_1JET_200GEV/rawdata/Table_14.yaml new file mode 100644 index 0000000000..e654ea3dc8 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR2012_1JET_200GEV/rawdata/Table_14.yaml @@ -0,0 +1,69 @@ +dependent_variables: + - header: { name: '$A_{LL}\times 10^{-3}$' } + qualifiers: + - { name: "Source", value: "2005 STAR Data" } + + values: + - value: 5.3 + errors: + symerror: { "value": 5.9, label: "stat" } + asymerror: { minus: -2.4, plus: 2.4 } + + - value: -2.7 + errors: + symerror: { "value": 5.4, label: "stat" } + asymerror: { minus: -1.9, plus: 1.8 } + + - value: 2.4 + errors: + symerror: { "value": 5.7, label: "stat" } + asymerror: { minus: -1.9, plus: 1.7 } + + - value: 14.3 + errors: + symerror: { "value": 6.7, label: "stat" } + asymerror: { minus: -2.2, plus: 2.9 } + + - value: -6.7 + errors: + symerror: { "value": 8.7, label: "stat" } + asymerror: { minus: -1.7, plus: 2.6 } + + - value: 2.6 + errors: + symerror: { "value": 12.7, label: "stat" } + asymerror: { minus: -1.7, plus: 2.7 } + + - value: -14.6 + errors: + symerror: { "value": 20.3, label: "stat" } + asymerror: { minus: -2.2, plus: 3.0 } + + - value: -52.2 + errors: + symerror: { "value": 35.0, label: "stat" } + asymerror: { minus: -2.9, plus: 2.9 } + + - value: 56.9 + errors: + symerror: { "value": 67.1, label: "stat" } + asymerror: { minus: -4.1, plus: 4.1 } + + - value: 146 + errors: + symerror: { "value": 138, label: "stat" } + asymerror: { minus: -3.7, plus: 5.7 } + +independent_variables: + - header: { name: "$p_{T}$", units: GeV/c } + values: + - { value: 5.3, low: 4.9, high: 5.7 } + - { value: 6.3, low: 5.9, high: 6.8 } + - { value: 7.1, low: 6.7, high: 7.7 } + - { value: 8.7, low: 8.1, high: 9.4 } + - { value: 10.7, low: 10.0, high: 11.5 } + - { value: 13.1, low: 12.3, high: 14.0 } + - { value: 16.0, low: 15.2, high: 17.0 } + - { value: 19.4, low: 18.4, high: 20.7 } + - { value: 23.6, low: 22.4, high: 25.1 } + - { value: 28.1, low: 26.7, high: 29.9 } diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR2012_1JET_200GEV/rawdata/Table_15.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR2012_1JET_200GEV/rawdata/Table_15.yaml new file mode 100644 index 0000000000..a8ac09d945 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR2012_1JET_200GEV/rawdata/Table_15.yaml @@ -0,0 +1,63 @@ +dependent_variables: + - header: { name: '$A_{LL}\times 10^{-3}$' } + qualifiers: + - { name: "Source", value: '2006 STAR Data, -0.7 < $\eta$ < 0.9' } + + values: + - value: 2.7 + errors: + symerror: { value: 5.3, label: "stat" } + asymerror: { minus: -2.6, plus: 3.8 } + + - value: 3.3 + errors: + symerror: { value: 4.3, label: "stat" } + asymerror: { minus: -1.6, plus: 2.3 } + + - value: 9.9 + errors: + symerror: { value: 4.1, label: "stat" } + asymerror: { minus: -1.6, plus: 2.3 } + + - value: 1.2 + errors: + symerror: { value: 4.5, label: "stat" } + asymerror: { minus: -1.2, plus: 1.5 } + + - value: 9.2 + errors: + symerror: { value: 5.8, label: "stat" } + asymerror: { minus: -1.1, plus: 1.2 } + + - value: 25.7 + errors: + symerror: { value: 8.8, label: "stat" } + asymerror: { minus: -1.3, plus: 1.8 } + + - value: 25.6 + errors: + symerror: { value: 15.4, label: "stat" } + asymerror: { minus: -1.6, plus: 4.1 } + + - value: 22.0 + errors: + symerror: { value: 31.0, label: "stat" } + asymerror: { minus: -2.1, plus: 5.6 } + + - value: 12.0 + errors: + symerror: { value: 70.6, label: "stat" } + asymerror: { minus: -3.3, plus: 7.1 } + +independent_variables: + - header: { name: "$p_{T}$", units: GeV/c } + values: + - { value: 8.5, low: 7.8, high: 9.3 } + - { value: 10.3, low: 9.5, high: 11.1 } + - { value: 12.2, low: 11.3, high: 13.1 } + - { value: 14.4, low: 13.4, high: 15.4 } + - { value: 17.2, low: 16.1, high: 18.3 } + - { value: 20.5, low: 19.2, high: 21.8 } + - { value: 24.4, low: 22.9, high: 25.9 } + - { value: 29.4, low: 27.6, high: 31.2 } + - { value: 34.7, low: 32.0, high: 37.3 } diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR2012_1JET_200GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR2012_1JET_200GEV/uncertainties.yaml new file mode 100644 index 0000000000..deef3a4deb --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR2012_1JET_200GEV/uncertainties.yaml @@ -0,0 +1,48 @@ +definitions: + stat: + description: statistical uncertainty + treatment: ADD + type: UNCORR + sys: + description: systematic uncertainty + treatment: ADD + type: UNCORR +bins: +- stat: 0.005900000000000001 + sys: 0.0024 +- stat: 0.0054 + sys: 0.0018513508581573619 +- stat: 0.0057 + sys: 0.0018055470085267787 +- stat: 0.0067 + sys: 0.002597595041572108 +- stat: 0.0087 + sys: 0.0022422087324778664 +- stat: 0.0127 + sys: 0.002310844001658269 +- stat: 0.020300000000000002 + sys: 0.002660826939130014 +- stat: 0.035 + sys: 0.0029 +- stat: 0.06709999999999999 + sys: 0.0040999999999999995 +- stat: 0.138 + sys: 0.004908156476723211 +- stat: 0.0053 + sys: 0.00331058907144937 +- stat: 0.0043 + sys: 0.002011839953873071 +- stat: 0.0040999999999999995 + sys: 0.002011839953873071 +- stat: 0.0045000000000000005 + sys: 0.001366565036871645 +- stat: 0.0058 + sys: 0.0011521718621802911 +- stat: 0.0088 + sys: 0.0015898113095584648 +- stat: 0.0154 + sys: 0.0033537292675468 +- stat: 0.031 + sys: 0.004576843890717707 +- stat: 0.0706 + sys: 0.005853204250664759 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR2015_1JET_200GEV/data.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR2015_1JET_200GEV/data.yaml new file mode 100644 index 0000000000..56efa8beb3 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR2015_1JET_200GEV/data.yaml @@ -0,0 +1,23 @@ +data_central: +- 0.002 +- 0.0056 +- 0.0013 +- 0.005 +- 0.0054 +- 0.0114 +- 0.0115 +- 0.0132 +- 0.0207 +- 0.0326 +- 0.0332 +- 0.0018 +- 0.004 +- 0.0059 +- 0.0027 +- 0.0069 +- 0.0087 +- 0.015 +- 0.0195 +- 0.0333 +- 0.0437 +- 0.0055 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR2015_1JET_200GEV/filter.py b/nnpdf_data/nnpdf_data/new_commondata/STAR2015_1JET_200GEV/filter.py new file mode 100644 index 0000000000..647d059b1d --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR2015_1JET_200GEV/filter.py @@ -0,0 +1,123 @@ +import glob +import sys + +import pandas as pd +import yaml + +sys.path.append('../') +from ATLAS_TTBAR_13TEV_HADR_DIF.utils import symmetrize_errors + + +def read_data(fnames): + df3 = pd.DataFrame() + df4 = pd.DataFrame() + for fname in fnames: + if "3" in fname: + dfi = pd.read_csv(fname) + if "pT" in fname: + correlation = False + df3["pT"] = dfi["Parton Jet $p_T$ [GeV/c]"] + + elif "ALL" in fname: + df3["ALL"] = dfi["$A_{LL}$"] + df3["stat_min"] = dfi["stat +"] + df3["stat_max"] = dfi["stat -"] + df3["sys_min"] = dfi["sys +"] + df3["sys_max"] = dfi["sys -"] + + df3["eta_min"] = -0.5 + df3["eta_max"] = 0.5 + df3["eta"] = 0.0 + df3["sqrts"] = 200 + + elif "4" in fname: + dfi = pd.read_csv(fname) + if "pT" in fname: + correlation = False + df4["pT"] = dfi["Parton Jet $p_T$ [GeV/c]"] + + if "ALL" in fname: + df4["ALL"] = dfi["$A_{LL}$"] + df4["stat_min"] = dfi["stat +"] + df4["stat_max"] = dfi["stat -"] + df4["sys_min"] = dfi["sys +"] + df4["sys_max"] = dfi["sys -"] + + df4["eta_min"] = -1.0 + df4["eta_max"] = 1.0 + df4["eta"] = 0.0 + df4["sqrts"] = 200 + + elif "5" in fname: + correlation = True + # Write correlation code here Giacomo + + else: + print("ERROR: Unknown table number detected! Check input files.") + + df = pd.concat([df3, df4], ignore_index=True) + + for i in range(len(df)): + shift, unc = symmetrize_errors(df.loc[i, "stat_max"], df.loc[i, "stat_min"]) + df.loc[i, "stat"] = unc + df.loc[i, "ALL"] += shift + + shift, unc = symmetrize_errors(df.loc[i, "sys_max"], df.loc[i, "sys_min"]) + df.loc[i, "sys"] = unc + df.loc[i, "ALL"] += shift + + return df + + +def write_data(df): + data_central = [] + for i in range(len(df["ALL"])): + data_central.append(float(df.loc[i, "ALL"])) + + data_central_yaml = {"data_central": data_central} + with open("data.yaml", "w") as file: + yaml.dump(data_central_yaml, file, sort_keys=False) + + # Write kin file + kin = [] + for i in range(len(df["ALL"])): + kin_value = { + "pT": {"min": None, "mid": float(df.loc[i, "pT"]), "max": None}, + "sqrts": {"min": None, "mid": float(df.loc[i, "sqrts"]), "max": None}, + "eta": { + "min": float(df.loc[i, "eta_min"]), + "mid": float(df.loc[i, "eta"]), + "max": float(df.loc[i, "eta_max"]), + }, + } + kin.append(kin_value) + + kinematics_yaml = {"bins": kin} + + with open("kinematics.yaml", "w") as file: + yaml.dump(kinematics_yaml, file, sort_keys=False) + + # Write unc file + error = [] + for i in range(len(df)): + e = {"stat": float(df.loc[i, "stat"]), "sys": float(df.loc[i, "sys"])} + error.append(e) + + error_definition = { + "stat": {"description": "statistical uncertainty", "treatment": "ADD", "type": "UNCORR"}, + "sys": {"description": "systematic uncertainty", "treatment": "ADD", "type": "UNCORR"}, + } + + uncertainties_yaml = {"definitions": error_definition, "bins": error} + + with open("uncertainties.yaml", "w") as file: + yaml.dump(uncertainties_yaml, file, sort_keys=False) + + +if __name__ == "__main__": + # TODO: Need to generate `observable` cards and corresponding + # pineappl grids and FK tables as the orders have changed!!!! + fnames = glob.glob("rawdata/*.csv") + nnames = sorted([i for i in fnames]) + df = read_data(nnames) + write_data(df) diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR2015_1JET_200GEV/kinematics.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR2015_1JET_200GEV/kinematics.yaml new file mode 100644 index 0000000000..36d1079c95 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR2015_1JET_200GEV/kinematics.yaml @@ -0,0 +1,265 @@ +bins: +- pT: + min: null + mid: 5.5 + max: null + sqrts: + min: null + mid: 200.0 + max: null + eta: + min: -0.5 + mid: 0.0 + max: 0.5 +- pT: + min: null + mid: 6.49 + max: null + sqrts: + min: null + mid: 200.0 + max: null + eta: + min: -0.5 + mid: 0.0 + max: 0.5 +- pT: + min: null + mid: 8.25 + max: null + sqrts: + min: null + mid: 200.0 + max: null + eta: + min: -0.5 + mid: 0.0 + max: 0.5 +- pT: + min: null + mid: 10.08 + max: null + sqrts: + min: null + mid: 200.0 + max: null + eta: + min: -0.5 + mid: 0.0 + max: 0.5 +- pT: + min: null + mid: 12.26 + max: null + sqrts: + min: null + mid: 200.0 + max: null + eta: + min: -0.5 + mid: 0.0 + max: 0.5 +- pT: + min: null + mid: 14.78 + max: null + sqrts: + min: null + mid: 200.0 + max: null + eta: + min: -0.5 + mid: 0.0 + max: 0.5 +- pT: + min: null + mid: 17.23 + max: null + sqrts: + min: null + mid: 200.0 + max: null + eta: + min: -0.5 + mid: 0.0 + max: 0.5 +- pT: + min: null + mid: 20.56 + max: null + sqrts: + min: null + mid: 200.0 + max: null + eta: + min: -0.5 + mid: 0.0 + max: 0.5 +- pT: + min: null + mid: 23.61 + max: null + sqrts: + min: null + mid: 200.0 + max: null + eta: + min: -0.5 + mid: 0.0 + max: 0.5 +- pT: + min: null + mid: 27.78 + max: null + sqrts: + min: null + mid: 200.0 + max: null + eta: + min: -0.5 + mid: 0.0 + max: 0.5 +- pT: + min: null + mid: 32.46 + max: null + sqrts: + min: null + mid: 200.0 + max: null + eta: + min: -0.5 + mid: 0.0 + max: 0.5 +- pT: + min: null + mid: 5.61 + max: null + sqrts: + min: null + mid: 200.0 + max: null + eta: + min: -1.0 + mid: 0.0 + max: 1.0 +- pT: + min: null + mid: 6.62 + max: null + sqrts: + min: null + mid: 200.0 + max: null + eta: + min: -1.0 + mid: 0.0 + max: 1.0 +- pT: + min: null + mid: 8.48 + max: null + sqrts: + min: null + mid: 200.0 + max: null + eta: + min: -1.0 + mid: 0.0 + max: 1.0 +- pT: + min: null + mid: 10.17 + max: null + sqrts: + min: null + mid: 200.0 + max: null + eta: + min: -1.0 + mid: 0.0 + max: 1.0 +- pT: + min: null + mid: 12.2 + max: null + sqrts: + min: null + mid: 200.0 + max: null + eta: + min: -1.0 + mid: 0.0 + max: 1.0 +- pT: + min: null + mid: 14.57 + max: null + sqrts: + min: null + mid: 200.0 + max: null + eta: + min: -1.0 + mid: 0.0 + max: 1.0 +- pT: + min: null + mid: 16.99 + max: null + sqrts: + min: null + mid: 200.0 + max: null + eta: + min: -1.0 + mid: 0.0 + max: 1.0 +- pT: + min: null + mid: 20.16 + max: null + sqrts: + min: null + mid: 200.0 + max: null + eta: + min: -1.0 + mid: 0.0 + max: 1.0 +- pT: + min: null + mid: 23.35 + max: null + sqrts: + min: null + mid: 200.0 + max: null + eta: + min: -1.0 + mid: 0.0 + max: 1.0 +- pT: + min: null + mid: 27.13 + max: null + sqrts: + min: null + mid: 200.0 + max: null + eta: + min: -1.0 + mid: 0.0 + max: 1.0 +- pT: + min: null + mid: 31.08 + max: null + sqrts: + min: null + mid: 200.0 + max: null + eta: + min: -1.0 + mid: 0.0 + max: 1.0 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR2015_1JET_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR2015_1JET_200GEV/metadata.yaml new file mode 100644 index 0000000000..1e193d1448 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR2015_1JET_200GEV/metadata.yaml @@ -0,0 +1,52 @@ +setname: "STAR2015_1JET_200GEV" + +nnpdf_metadata: + experiment: "STAR" + nnpdf31_process: "JETS" + +iNSPIRE: + url: "https://www.hepdata.net/record/ins1297229" +hepdata: + url: "https://inspirehep.net/literature/1297229" + version: 1 + +version: 1 +version_comment: "Initial implementation" + +implemented_observables: + - observable: { description: "ALL w.r.t. pT", label: "$A_{LL}$", units: "" } + observable_name: ALL + process_type: JET_POL + ndata: 21 + tables: [3, 4] + npoints: [11, 10] + kinematics: + variables: + pT: + { + description: "mean transverse momentum", + label: '$\langle pT \rangle$', + units: "$GeV$", + } + sqrts: + { + description: "center of mass energy", + label: '$\sqrt{s}$', + units: "$GeV$", + } + eta: { description: "pseudorapidity", label: '$\eta$', units: "" } + + file: kinematics.yaml + data_central: data.yaml + data_uncertainties: + - uncertainties.yaml + kinematic_coverage: [pT, sqrts, eta] + plotting: + kinematics_override: identity + dataset_label: "$A_{LL}$" + plot_x: pT + x_scale: log + y_label: "$A_{LL}$" + theory: + FK_tables: + - - STAR2015_1JET_200GEV_ALL diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR2015_1JET_200GEV/rawdata/Table_3_ALL.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR2015_1JET_200GEV/rawdata/Table_3_ALL.csv new file mode 100644 index 0000000000..782f8abb98 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR2015_1JET_200GEV/rawdata/Table_3_ALL.csv @@ -0,0 +1,12 @@ +Bin,$A_{LL}$,stat +,stat -,sys +,sys - +1.0,0.002,0.0015,-0.0015,0.0003,-0.0003 +2.0,0.0056,0.0016,-0.0016,0.0004,-0.0004 +3.0,0.0013,0.0014,-0.0014,0.0004,-0.0004 +4.0,0.005,0.0016,-0.0016,0.0004,-0.0004 +5.0,0.0054,0.002,-0.002,0.0005,-0.0005 +6.0,0.0114,0.0026,-0.0026,0.0006,-0.0006 +7.0,0.0115,0.0037,-0.0037,0.0015,-0.0015 +8.0,0.0132,0.0055,-0.0055,0.0016,-0.0016 +9.0,0.0207,0.0092,-0.0092,0.0022,-0.0022 +10.0,0.0326,0.016,-0.016,0.0039,-0.0039 +11.0,0.0332,0.0297,-0.0297,0.0048,-0.0048 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR2015_1JET_200GEV/rawdata/Table_3_pT.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR2015_1JET_200GEV/rawdata/Table_3_pT.csv new file mode 100644 index 0000000000..26c494a751 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR2015_1JET_200GEV/rawdata/Table_3_pT.csv @@ -0,0 +1,12 @@ +Bin,Parton Jet $p_T$ [GeV/c],stat +,stat -,sys +,sys - +1.0,5.5,0.0,-0.0,0.79,-0.79 +2.0,6.49,0.0,-0.0,0.8,-0.8 +3.0,8.25,0.0,-0.0,0.7,-0.7 +4.0,10.08,0.0,-0.0,0.67,-0.67 +5.0,12.26,0.0,-0.0,0.67,-0.67 +6.0,14.78,0.0,-0.0,0.71,-0.71 +7.0,17.23,0.0,-0.0,0.77,-0.77 +8.0,20.56,0.0,-0.0,0.88,-0.88 +9.0,23.61,0.0,-0.0,0.94,-0.94 +10.0,27.78,0.0,-0.0,0.98,-0.98 +11.0,32.46,0.0,-0.0,1.11,-1.11 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR2015_1JET_200GEV/rawdata/Table_4_ALL.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR2015_1JET_200GEV/rawdata/Table_4_ALL.csv new file mode 100644 index 0000000000..50abb7106e --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR2015_1JET_200GEV/rawdata/Table_4_ALL.csv @@ -0,0 +1,12 @@ +Bin,$A_{LL}$,stat +,stat -,sys +,sys - +12.0,0.0018,0.0016,-0.0016,0.0004,-0.0004 +13.0,0.004,0.0018,-0.0018,0.0004,-0.0004 +14.0,0.0059,0.0016,-0.0016,0.0004,-0.0004 +15.0,0.0027,0.0019,-0.0019,0.0004,-0.0004 +16.0,0.0069,0.0024,-0.0024,0.0005,-0.0005 +17.0,0.0087,0.0032,-0.0032,0.0006,-0.0006 +18.0,0.015,0.0046,-0.0046,0.0011,-0.0011 +19.0,0.0195,0.0071,-0.0071,0.0015,-0.0015 +20.0,0.0333,0.0122,-0.0122,0.0025,-0.0025 +21.0,0.0437,0.0221,-0.0221,0.0038,-0.0038 +22.0,0.0055,0.0434,-0.0434,0.006,-0.006 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR2015_1JET_200GEV/rawdata/Table_4_pT.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR2015_1JET_200GEV/rawdata/Table_4_pT.csv new file mode 100644 index 0000000000..40a537e8a5 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR2015_1JET_200GEV/rawdata/Table_4_pT.csv @@ -0,0 +1,12 @@ +Bin,Parton Jet $p_T$ [GeV/c],stat +,stat -,sys +,sys - +12.0,5.61,0.0,-0.0,0.81,-0.81 +13.0,6.62,0.0,-0.0,0.81,-0.81 +14.0,8.48,0.0,-0.0,0.69,-0.69 +15.0,10.17,0.0,-0.0,0.65,-0.65 +16.0,12.2,0.0,-0.0,0.64,-0.64 +17.0,14.57,0.0,-0.0,0.61,-0.61 +18.0,16.99,0.0,-0.0,0.69,-0.69 +19.0,20.16,0.0,-0.0,0.9,-0.9 +20.0,23.35,0.0,-0.0,0.93,-0.93 +21.0,27.13,0.0,-0.0,1.09,-1.09 +22.0,31.08,0.0,-0.0,1.08,-1.08 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR2015_1JET_200GEV/rawdata/Table_5.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR2015_1JET_200GEV/rawdata/Table_5.csv new file mode 100644 index 0000000000..3e15ef3e34 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR2015_1JET_200GEV/rawdata/Table_5.csv @@ -0,0 +1,602 @@ +#: table_doi: 10.17182/hepdata.73432.v1/t5 +#: name: Table 5 +#: description: The uncertainties on the parton jet pT values are strongly correlated across the bins. The point-to-point statistical and systematic uncertainties on the measured A_LL values given above are only weakly correlated among the bins. The correlation matrix for the quadrature sum of the point-to-point statistical and systematic uncertainties is given below. In that matrix, the order of the rows and columns matches the bin numbering above. In addition to the point-to-point statistical and systematic uncertainties, there are two systematic uncertainties that are common to all the measured A_LL values (and not included in the systematic uncertainty numbers quoted above): (a) +/-0.0005 vertical shift uncertainty from relative luminosity and (b) +/-6.5% vertical scale uncertainty from polarization. + +#: data_file: Table5.yaml +#: keyword reactions: P P --> JET X +#: keyword observables: +#: keyword phrases: Inclusive | Proton-Proton Scattering | Jet Production +#: keyword cmenergies: 200.0 +#: RE,P P --> JET X +#: SQRT(S) [GeV],200.0 +See description,See description +-,1.0 +1.0,1.0 +2.0,0.013 +3.0,0.008 +4.0,0.007 +5.0,0.008 +6.0,0.008 +7.0,0.006 +8.0,0.005 +9.0,0.003 +10.0,0.002 +11.0,0.002 +12.0,0.043 +13.0,0.011 +14.0,0.011 +15.0,0.005 +16.0,0.005 +17.0,0.003 +18.0,0.005 +19.0,0.002 +20.0,0.001 +21.0,0.002 +22.0,0.001 + +#: RE,P P --> JET X +#: SQRT(S) [GeV],200.0 +See description,See description +-,2.0 +1.0,0.013 +2.0,1.0 +3.0,0.013 +4.0,0.011 +5.0,0.015 +6.0,0.015 +7.0,0.01 +8.0,0.009 +9.0,0.005 +10.0,0.004 +11.0,0.003 +12.0,0.011 +13.0,0.047 +14.0,0.018 +15.0,0.009 +16.0,0.008 +17.0,0.006 +18.0,0.009 +19.0,0.004 +20.0,0.003 +21.0,0.004 +22.0,0.002 + +#: RE,P P --> JET X +#: SQRT(S) [GeV],200.0 +See description,See description +-,3.0 +1.0,0.008 +2.0,0.013 +3.0,1.0 +4.0,0.012 +5.0,0.014 +6.0,0.013 +7.0,0.009 +8.0,0.007 +9.0,0.004 +10.0,0.003 +11.0,0.002 +12.0,0.007 +13.0,0.011 +14.0,0.051 +15.0,0.009 +16.0,0.008 +17.0,0.007 +18.0,0.008 +19.0,0.004 +20.0,0.002 +21.0,0.002 +22.0,0.001 + +#: RE,P P --> JET X +#: SQRT(S) [GeV],200.0 +See description,See description +-,4.0 +1.0,0.007 +2.0,0.011 +3.0,0.012 +4.0,1.0 +5.0,0.017 +6.0,0.017 +7.0,0.013 +8.0,0.009 +9.0,0.005 +10.0,0.003 +11.0,0.002 +12.0,0.006 +13.0,0.01 +14.0,0.013 +15.0,0.039 +16.0,0.012 +17.0,0.01 +18.0,0.01 +19.0,0.005 +20.0,0.003 +21.0,0.003 +22.0,0.001 + +#: RE,P P --> JET X +#: SQRT(S) [GeV],200.0 +See description,See description +-,5.0 +1.0,0.008 +2.0,0.015 +3.0,0.014 +4.0,0.017 +5.0,1.0 +6.0,0.028 +7.0,0.022 +8.0,0.017 +9.0,0.01 +10.0,0.006 +11.0,0.003 +12.0,0.008 +13.0,0.013 +14.0,0.017 +15.0,0.014 +16.0,0.034 +17.0,0.016 +18.0,0.017 +19.0,0.011 +20.0,0.007 +21.0,0.005 +22.0,0.002 + +#: RE,P P --> JET X +#: SQRT(S) [GeV],200.0 +See description,See description +-,6.0 +1.0,0.008 +2.0,0.015 +3.0,0.013 +4.0,0.017 +5.0,0.028 +6.0,1.0 +7.0,0.031 +8.0,0.026 +9.0,0.016 +10.0,0.009 +11.0,0.004 +12.0,0.008 +13.0,0.014 +14.0,0.018 +15.0,0.014 +16.0,0.018 +17.0,0.033 +18.0,0.026 +19.0,0.018 +20.0,0.011 +21.0,0.008 +22.0,0.003 + +#: RE,P P --> JET X +#: SQRT(S) [GeV],200.0 +See description,See description +-,7.0 +1.0,0.006 +2.0,0.01 +3.0,0.009 +4.0,0.013 +5.0,0.022 +6.0,0.031 +7.0,1.0 +8.0,0.033 +9.0,0.024 +10.0,0.013 +11.0,0.006 +12.0,0.005 +13.0,0.009 +14.0,0.012 +15.0,0.01 +16.0,0.014 +17.0,0.019 +18.0,0.04 +19.0,0.024 +20.0,0.016 +21.0,0.011 +22.0,0.005 + +#: RE,P P --> JET X +#: SQRT(S) [GeV],200.0 +See description,See description +-,8.0 +1.0,0.005 +2.0,0.009 +3.0,0.007 +4.0,0.009 +5.0,0.017 +6.0,0.026 +7.0,0.033 +8.0,1.0 +9.0,0.039 +10.0,0.026 +11.0,0.013 +12.0,0.004 +13.0,0.007 +14.0,0.01 +15.0,0.007 +16.0,0.01 +17.0,0.015 +18.0,0.026 +19.0,0.05 +20.0,0.026 +21.0,0.02 +22.0,0.009 + +#: RE,P P --> JET X +#: SQRT(S) [GeV],200.0 +See description,See description +-,9.0 +1.0,0.003 +2.0,0.005 +3.0,0.004 +4.0,0.005 +5.0,0.01 +6.0,0.016 +7.0,0.024 +8.0,0.039 +9.0,1.0 +10.0,0.046 +11.0,0.028 +12.0,0.003 +13.0,0.005 +14.0,0.006 +15.0,0.004 +16.0,0.005 +17.0,0.009 +18.0,0.017 +19.0,0.026 +20.0,0.046 +21.0,0.032 +22.0,0.018 + +#: RE,P P --> JET X +#: SQRT(S) [GeV],200.0 +See description,See description +-,10.0 +1.0,0.002 +2.0,0.004 +3.0,0.003 +4.0,0.003 +5.0,0.006 +6.0,0.009 +7.0,0.013 +8.0,0.026 +9.0,0.046 +10.0,1.0 +11.0,0.052 +12.0,0.002 +13.0,0.003 +14.0,0.004 +15.0,0.002 +16.0,0.003 +17.0,0.004 +18.0,0.008 +19.0,0.016 +20.0,0.026 +21.0,0.048 +22.0,0.032 + +#: RE,P P --> JET X +#: SQRT(S) [GeV],200.0 +See description,See description +-,11.0 +1.0,0.002 +2.0,0.003 +3.0,0.002 +4.0,0.002 +5.0,0.003 +6.0,0.004 +7.0,0.006 +8.0,0.013 +9.0,0.028 +10.0,0.052 +11.0,1.0 +12.0,0.001 +13.0,0.003 +14.0,0.003 +15.0,0.001 +16.0,0.002 +17.0,0.002 +18.0,0.004 +19.0,0.006 +20.0,0.013 +21.0,0.028 +22.0,0.04 + +#: RE,P P --> JET X +#: SQRT(S) [GeV],200.0 +See description,See description +-,12.0 +1.0,0.043 +2.0,0.011 +3.0,0.007 +4.0,0.006 +5.0,0.008 +6.0,0.008 +7.0,0.005 +8.0,0.004 +9.0,0.003 +10.0,0.002 +11.0,0.001 +12.0,1.0 +13.0,0.009 +14.0,0.009 +15.0,0.005 +16.0,0.003 +17.0,0.003 +18.0,0.004 +19.0,0.002 +20.0,0.001 +21.0,0.002 +22.0,0.001 + +#: RE,P P --> JET X +#: SQRT(S) [GeV],200.0 +See description,See description +-,13.0 +1.0,0.011 +2.0,0.047 +3.0,0.011 +4.0,0.01 +5.0,0.013 +6.0,0.014 +7.0,0.009 +8.0,0.007 +9.0,0.005 +10.0,0.003 +11.0,0.003 +12.0,0.009 +13.0,1.0 +14.0,0.016 +15.0,0.008 +16.0,0.006 +17.0,0.004 +18.0,0.008 +19.0,0.003 +20.0,0.002 +21.0,0.003 +22.0,0.001 + +#: RE,P P --> JET X +#: SQRT(S) [GeV],200.0 +See description,See description +-,14.0 +1.0,0.011 +2.0,0.018 +3.0,0.051 +4.0,0.013 +5.0,0.017 +6.0,0.018 +7.0,0.012 +8.0,0.01 +9.0,0.006 +10.0,0.004 +11.0,0.003 +12.0,0.009 +13.0,0.016 +14.0,1.0 +15.0,0.011 +16.0,0.009 +17.0,0.007 +18.0,0.01 +19.0,0.005 +20.0,0.004 +21.0,0.004 +22.0,0.002 + +#: RE,P P --> JET X +#: SQRT(S) [GeV],200.0 +See description,See description +-,15.0 +1.0,0.005 +2.0,0.009 +3.0,0.009 +4.0,0.039 +5.0,0.014 +6.0,0.014 +7.0,0.01 +8.0,0.007 +9.0,0.004 +10.0,0.002 +11.0,0.001 +12.0,0.005 +13.0,0.008 +14.0,0.011 +15.0,1.0 +16.0,0.009 +17.0,0.008 +18.0,0.008 +19.0,0.004 +20.0,0.002 +21.0,0.003 +22.0,0.001 + +#: RE,P P --> JET X +#: SQRT(S) [GeV],200.0 +See description,See description +-,16.0 +1.0,0.005 +2.0,0.008 +3.0,0.008 +4.0,0.012 +5.0,0.034 +6.0,0.018 +7.0,0.014 +8.0,0.01 +9.0,0.005 +10.0,0.003 +11.0,0.002 +12.0,0.003 +13.0,0.006 +14.0,0.009 +15.0,0.009 +16.0,1.0 +17.0,0.012 +18.0,0.011 +19.0,0.007 +20.0,0.004 +21.0,0.002 +22.0,0.002 + +#: RE,P P --> JET X +#: SQRT(S) [GeV],200.0 +See description,See description +-,17.0 +1.0,0.003 +2.0,0.006 +3.0,0.007 +4.0,0.01 +5.0,0.016 +6.0,0.033 +7.0,0.019 +8.0,0.015 +9.0,0.009 +10.0,0.004 +11.0,0.002 +12.0,0.003 +13.0,0.004 +14.0,0.007 +15.0,0.008 +16.0,0.012 +17.0,1.0 +18.0,0.015 +19.0,0.01 +20.0,0.006 +21.0,0.004 +22.0,0.001 + +#: RE,P P --> JET X +#: SQRT(S) [GeV],200.0 +See description,See description +-,18.0 +1.0,0.005 +2.0,0.009 +3.0,0.008 +4.0,0.01 +5.0,0.017 +6.0,0.026 +7.0,0.04 +8.0,0.026 +9.0,0.017 +10.0,0.008 +11.0,0.004 +12.0,0.004 +13.0,0.008 +14.0,0.01 +15.0,0.008 +16.0,0.011 +17.0,0.015 +18.0,1.0 +19.0,0.017 +20.0,0.01 +21.0,0.007 +22.0,0.003 + +#: RE,P P --> JET X +#: SQRT(S) [GeV],200.0 +See description,See description +-,19.0 +1.0,0.002 +2.0,0.004 +3.0,0.004 +4.0,0.005 +5.0,0.011 +6.0,0.018 +7.0,0.024 +8.0,0.05 +9.0,0.026 +10.0,0.016 +11.0,0.006 +12.0,0.002 +13.0,0.003 +14.0,0.005 +15.0,0.004 +16.0,0.007 +17.0,0.01 +18.0,0.017 +19.0,1.0 +20.0,0.015 +21.0,0.011 +22.0,0.005 + +#: RE,P P --> JET X +#: SQRT(S) [GeV],200.0 +See description,See description +-,20.0 +1.0,0.001 +2.0,0.003 +3.0,0.002 +4.0,0.003 +5.0,0.007 +6.0,0.011 +7.0,0.016 +8.0,0.026 +9.0,0.046 +10.0,0.026 +11.0,0.013 +12.0,0.001 +13.0,0.002 +14.0,0.004 +15.0,0.002 +16.0,0.004 +17.0,0.006 +18.0,0.01 +19.0,0.015 +20.0,1.0 +21.0,0.017 +22.0,0.008 + +#: RE,P P --> JET X +#: SQRT(S) [GeV],200.0 +See description,See description +-,21.0 +1.0,0.002 +2.0,0.004 +3.0,0.002 +4.0,0.003 +5.0,0.005 +6.0,0.008 +7.0,0.011 +8.0,0.02 +9.0,0.032 +10.0,0.048 +11.0,0.028 +12.0,0.002 +13.0,0.003 +14.0,0.004 +15.0,0.003 +16.0,0.002 +17.0,0.004 +18.0,0.007 +19.0,0.011 +20.0,0.017 +21.0,1.0 +22.0,0.014 + +#: RE,P P --> JET X +#: SQRT(S) [GeV],200.0 +See description,See description +-,22.0 +1.0,0.001 +2.0,0.002 +3.0,0.001 +4.0,0.001 +5.0,0.002 +6.0,0.003 +7.0,0.005 +8.0,0.009 +9.0,0.018 +10.0,0.032 +11.0,0.04 +12.0,0.001 +13.0,0.001 +14.0,0.002 +15.0,0.001 +16.0,0.002 +17.0,0.001 +18.0,0.003 +19.0,0.005 +20.0,0.008 +21.0,0.014 +22.0,1.0 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR2015_1JET_200GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR2015_1JET_200GEV/uncertainties.yaml new file mode 100644 index 0000000000..a48e36cbe1 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR2015_1JET_200GEV/uncertainties.yaml @@ -0,0 +1,54 @@ +definitions: + stat: + description: statistical uncertainty + treatment: ADD + type: UNCORR + sys: + description: systematic uncertainty + treatment: ADD + type: UNCORR +bins: +- stat: 0.0015 + sys: 0.0003 +- stat: 0.0016 + sys: 0.0004 +- stat: 0.0014 + sys: 0.0004 +- stat: 0.0016 + sys: 0.0004 +- stat: 0.002 + sys: 0.0005 +- stat: 0.0026 + sys: 0.0006 +- stat: 0.0037 + sys: 0.0015 +- stat: 0.0055 + sys: 0.0016 +- stat: 0.0092 + sys: 0.0022 +- stat: 0.016 + sys: 0.0039 +- stat: 0.0297 + sys: 0.0048 +- stat: 0.0016 + sys: 0.0004 +- stat: 0.0018 + sys: 0.0004 +- stat: 0.0016 + sys: 0.0004 +- stat: 0.0019 + sys: 0.0004 +- stat: 0.0024 + sys: 0.0005 +- stat: 0.0032 + sys: 0.0006 +- stat: 0.0046 + sys: 0.0011 +- stat: 0.0071 + sys: 0.0015 +- stat: 0.0122 + sys: 0.0025 +- stat: 0.0221 + sys: 0.0038 +- stat: 0.0434 + sys: 0.006 From aace47cf7bd849f81666f23806fcb744345ca22b Mon Sep 17 00:00:00 2001 From: toonhasenack Date: Wed, 17 Apr 2024 09:05:00 +0200 Subject: [PATCH 05/70] Name change of STARyear to STAR_year convention --- .../{STAR2012_1JET_200GEV => STAR_2012_1JET_200GEV}/data.yaml | 0 .../{STAR2012_1JET_200GEV => STAR_2012_1JET_200GEV}/filter.py | 0 .../kinematics.yaml | 0 .../{STAR2012_1JET_200GEV => STAR_2012_1JET_200GEV}/metadata.yaml | 0 .../rawdata/Table_14.yaml | 0 .../rawdata/Table_15.yaml | 0 .../uncertainties.yaml | 0 .../{STAR2015_1JET_200GEV => STAR_2015_1JET_200GEV}/data.yaml | 0 .../{STAR2015_1JET_200GEV => STAR_2015_1JET_200GEV}/filter.py | 0 .../kinematics.yaml | 0 .../{STAR2015_1JET_200GEV => STAR_2015_1JET_200GEV}/metadata.yaml | 0 .../rawdata/Table_3_ALL.csv | 0 .../rawdata/Table_3_pT.csv | 0 .../rawdata/Table_4_ALL.csv | 0 .../rawdata/Table_4_pT.csv | 0 .../rawdata/Table_5.csv | 0 .../uncertainties.yaml | 0 17 files changed, 0 insertions(+), 0 deletions(-) rename nnpdf_data/nnpdf_data/new_commondata/{STAR2012_1JET_200GEV => STAR_2012_1JET_200GEV}/data.yaml (100%) rename nnpdf_data/nnpdf_data/new_commondata/{STAR2012_1JET_200GEV => STAR_2012_1JET_200GEV}/filter.py (100%) rename nnpdf_data/nnpdf_data/new_commondata/{STAR2012_1JET_200GEV => STAR_2012_1JET_200GEV}/kinematics.yaml (100%) rename nnpdf_data/nnpdf_data/new_commondata/{STAR2012_1JET_200GEV => STAR_2012_1JET_200GEV}/metadata.yaml (100%) rename nnpdf_data/nnpdf_data/new_commondata/{STAR2012_1JET_200GEV => STAR_2012_1JET_200GEV}/rawdata/Table_14.yaml (100%) rename nnpdf_data/nnpdf_data/new_commondata/{STAR2012_1JET_200GEV => STAR_2012_1JET_200GEV}/rawdata/Table_15.yaml (100%) rename nnpdf_data/nnpdf_data/new_commondata/{STAR2012_1JET_200GEV => STAR_2012_1JET_200GEV}/uncertainties.yaml (100%) rename nnpdf_data/nnpdf_data/new_commondata/{STAR2015_1JET_200GEV => STAR_2015_1JET_200GEV}/data.yaml (100%) rename nnpdf_data/nnpdf_data/new_commondata/{STAR2015_1JET_200GEV => STAR_2015_1JET_200GEV}/filter.py (100%) rename nnpdf_data/nnpdf_data/new_commondata/{STAR2015_1JET_200GEV => STAR_2015_1JET_200GEV}/kinematics.yaml (100%) rename nnpdf_data/nnpdf_data/new_commondata/{STAR2015_1JET_200GEV => STAR_2015_1JET_200GEV}/metadata.yaml (100%) rename nnpdf_data/nnpdf_data/new_commondata/{STAR2015_1JET_200GEV => STAR_2015_1JET_200GEV}/rawdata/Table_3_ALL.csv (100%) rename nnpdf_data/nnpdf_data/new_commondata/{STAR2015_1JET_200GEV => STAR_2015_1JET_200GEV}/rawdata/Table_3_pT.csv (100%) rename nnpdf_data/nnpdf_data/new_commondata/{STAR2015_1JET_200GEV => STAR_2015_1JET_200GEV}/rawdata/Table_4_ALL.csv (100%) rename nnpdf_data/nnpdf_data/new_commondata/{STAR2015_1JET_200GEV => STAR_2015_1JET_200GEV}/rawdata/Table_4_pT.csv (100%) rename nnpdf_data/nnpdf_data/new_commondata/{STAR2015_1JET_200GEV => STAR_2015_1JET_200GEV}/rawdata/Table_5.csv (100%) rename nnpdf_data/nnpdf_data/new_commondata/{STAR2015_1JET_200GEV => STAR_2015_1JET_200GEV}/uncertainties.yaml (100%) diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR2012_1JET_200GEV/data.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_200GEV/data.yaml similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR2012_1JET_200GEV/data.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_200GEV/data.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR2012_1JET_200GEV/filter.py b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_200GEV/filter.py similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR2012_1JET_200GEV/filter.py rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_200GEV/filter.py diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR2012_1JET_200GEV/kinematics.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_200GEV/kinematics.yaml similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR2012_1JET_200GEV/kinematics.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_200GEV/kinematics.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR2012_1JET_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_200GEV/metadata.yaml similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR2012_1JET_200GEV/metadata.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_200GEV/metadata.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR2012_1JET_200GEV/rawdata/Table_14.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_200GEV/rawdata/Table_14.yaml similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR2012_1JET_200GEV/rawdata/Table_14.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_200GEV/rawdata/Table_14.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR2012_1JET_200GEV/rawdata/Table_15.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_200GEV/rawdata/Table_15.yaml similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR2012_1JET_200GEV/rawdata/Table_15.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_200GEV/rawdata/Table_15.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR2012_1JET_200GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_200GEV/uncertainties.yaml similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR2012_1JET_200GEV/uncertainties.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_200GEV/uncertainties.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR2015_1JET_200GEV/data.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/data.yaml similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR2015_1JET_200GEV/data.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/data.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR2015_1JET_200GEV/filter.py b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/filter.py similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR2015_1JET_200GEV/filter.py rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/filter.py diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR2015_1JET_200GEV/kinematics.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/kinematics.yaml similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR2015_1JET_200GEV/kinematics.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/kinematics.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR2015_1JET_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/metadata.yaml similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR2015_1JET_200GEV/metadata.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/metadata.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR2015_1JET_200GEV/rawdata/Table_3_ALL.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table_3_ALL.csv similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR2015_1JET_200GEV/rawdata/Table_3_ALL.csv rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table_3_ALL.csv diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR2015_1JET_200GEV/rawdata/Table_3_pT.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table_3_pT.csv similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR2015_1JET_200GEV/rawdata/Table_3_pT.csv rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table_3_pT.csv diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR2015_1JET_200GEV/rawdata/Table_4_ALL.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table_4_ALL.csv similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR2015_1JET_200GEV/rawdata/Table_4_ALL.csv rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table_4_ALL.csv diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR2015_1JET_200GEV/rawdata/Table_4_pT.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table_4_pT.csv similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR2015_1JET_200GEV/rawdata/Table_4_pT.csv rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table_4_pT.csv diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR2015_1JET_200GEV/rawdata/Table_5.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table_5.csv similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR2015_1JET_200GEV/rawdata/Table_5.csv rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table_5.csv diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR2015_1JET_200GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/uncertainties.yaml similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR2015_1JET_200GEV/uncertainties.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/uncertainties.yaml From 994638ad5869642d2eb7d863684b62d44c31a3da Mon Sep 17 00:00:00 2001 From: toonhasenack Date: Wed, 17 Apr 2024 09:07:30 +0200 Subject: [PATCH 06/70] propagate previous namechange --- .../new_commondata/STAR_2012_1JET_200GEV/metadata.yaml | 4 ++-- .../new_commondata/STAR_2015_1JET_200GEV/metadata.yaml | 4 ++-- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_200GEV/metadata.yaml index 4664eca4ef..ca0b772dbe 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_200GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_200GEV/metadata.yaml @@ -1,4 +1,4 @@ -setname: "STAR_1JET_200GEV" +setname: "STAR_2012_1JET_200GEV" nnpdf_metadata: experiment: "STAR" @@ -49,4 +49,4 @@ implemented_observables: y_label: "$A_{LL}$" theory: FK_tables: - - - STAR_1JET_200GEV_ALL + - - STAR_2012_1JET_200GEV_ALL diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/metadata.yaml index 1e193d1448..28ac029853 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/metadata.yaml @@ -1,4 +1,4 @@ -setname: "STAR2015_1JET_200GEV" +setname: "STAR_2015_1JET_200GEV" nnpdf_metadata: experiment: "STAR" @@ -49,4 +49,4 @@ implemented_observables: y_label: "$A_{LL}$" theory: FK_tables: - - - STAR2015_1JET_200GEV_ALL + - - STAR_2015_1JET_200GEV_ALL From 12d2ac96437b56afa2b69d1a91674489ab268788 Mon Sep 17 00:00:00 2001 From: toonhasenack Date: Wed, 17 Apr 2024 10:23:58 +0200 Subject: [PATCH 07/70] implemented correlations for STAR_2015 --- .../STAR_2015_1JET_200GEV/filter.py | 47 +- .../STAR_2015_1JET_200GEV/rawdata/Table_5.csv | 97 +-- .../STAR_2015_1JET_200GEV/uncertainties.yaml | 572 ++++++++++++++++++ 3 files changed, 613 insertions(+), 103 deletions(-) diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/filter.py b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/filter.py index 647d059b1d..86cec57ed2 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/filter.py +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/filter.py @@ -6,6 +6,7 @@ sys.path.append('../') from ATLAS_TTBAR_13TEV_HADR_DIF.utils import symmetrize_errors +from HERMES_NC_7GEV_EP.filter import compute_covmat def read_data(fnames): @@ -50,7 +51,18 @@ def read_data(fnames): elif "5" in fname: correlation = True - # Write correlation code here Giacomo + dfc_col = pd.read_csv(fname) + + dfc = pd.DataFrame() + biny = 1 + for i in range(len(dfc_col)): + if dfc_col.loc[i, "binx"] == "-": + biny = float(dfc_col.loc[i, "val"]) + else: + binx = float(dfc_col.loc[i, "binx"]) + dfc.loc[binx, biny] = dfc_col.loc[i, "val"] + + dfc = dfc.astype("float") else: print("ERROR: Unknown table number detected! Check input files.") @@ -66,10 +78,10 @@ def read_data(fnames): df.loc[i, "sys"] = unc df.loc[i, "ALL"] += shift - return df + return df, dfc -def write_data(df): +def write_data(df, dfc): data_central = [] for i in range(len(df["ALL"])): data_central.append(float(df.loc[i, "ALL"])) @@ -78,6 +90,10 @@ def write_data(df): with open("data.yaml", "w") as file: yaml.dump(data_central_yaml, file, sort_keys=False) + # Compute the covariance matrix + corrmat = dfc.values.reshape((len(df), len(df))) + art_sys = compute_covmat(corrmat, df, len(df)) + # Write kin file kin = [] for i in range(len(df["ALL"])): @@ -101,13 +117,30 @@ def write_data(df): error = [] for i in range(len(df)): e = {"stat": float(df.loc[i, "stat"]), "sys": float(df.loc[i, "sys"])} + for j in range(len(df)): + e[f"sys_{j}"] = art_sys[i][j] error.append(e) error_definition = { - "stat": {"description": "statistical uncertainty", "treatment": "ADD", "type": "UNCORR"}, - "sys": {"description": "systematic uncertainty", "treatment": "ADD", "type": "UNCORR"}, + f"sys_{i}": { + "description": f"{i} artificial correlated statistical uncertainty", + "treatment": "ADD", + "type": "CORR", + } + for i in range(len(df)) } + error_definition.update( + { + "stat": { + "description": "statistical uncertainty", + "treatment": "ADD", + "type": "UNCORR", + }, + "sys": {"description": "systematic uncertainty", "treatment": "ADD", "type": "UNCORR"}, + } + ) + uncertainties_yaml = {"definitions": error_definition, "bins": error} with open("uncertainties.yaml", "w") as file: @@ -119,5 +152,5 @@ def write_data(df): # pineappl grids and FK tables as the orders have changed!!!! fnames = glob.glob("rawdata/*.csv") nnames = sorted([i for i in fnames]) - df = read_data(nnames) - write_data(df) + df, dfc = read_data(nnames) + write_data(df, dfc) diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table_5.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table_5.csv index 3e15ef3e34..3dbe5a424d 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table_5.csv +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table_5.csv @@ -1,15 +1,4 @@ -#: table_doi: 10.17182/hepdata.73432.v1/t5 -#: name: Table 5 -#: description: The uncertainties on the parton jet pT values are strongly correlated across the bins. The point-to-point statistical and systematic uncertainties on the measured A_LL values given above are only weakly correlated among the bins. The correlation matrix for the quadrature sum of the point-to-point statistical and systematic uncertainties is given below. In that matrix, the order of the rows and columns matches the bin numbering above. In addition to the point-to-point statistical and systematic uncertainties, there are two systematic uncertainties that are common to all the measured A_LL values (and not included in the systematic uncertainty numbers quoted above): (a) +/-0.0005 vertical shift uncertainty from relative luminosity and (b) +/-6.5% vertical scale uncertainty from polarization. - -#: data_file: Table5.yaml -#: keyword reactions: P P --> JET X -#: keyword observables: -#: keyword phrases: Inclusive | Proton-Proton Scattering | Jet Production -#: keyword cmenergies: 200.0 -#: RE,P P --> JET X -#: SQRT(S) [GeV],200.0 -See description,See description +binx,val -,1.0 1.0,1.0 2.0,0.013 @@ -33,10 +22,6 @@ See description,See description 20.0,0.001 21.0,0.002 22.0,0.001 - -#: RE,P P --> JET X -#: SQRT(S) [GeV],200.0 -See description,See description -,2.0 1.0,0.013 2.0,1.0 @@ -60,10 +45,6 @@ See description,See description 20.0,0.003 21.0,0.004 22.0,0.002 - -#: RE,P P --> JET X -#: SQRT(S) [GeV],200.0 -See description,See description -,3.0 1.0,0.008 2.0,0.013 @@ -87,10 +68,6 @@ See description,See description 20.0,0.002 21.0,0.002 22.0,0.001 - -#: RE,P P --> JET X -#: SQRT(S) [GeV],200.0 -See description,See description -,4.0 1.0,0.007 2.0,0.011 @@ -114,10 +91,6 @@ See description,See description 20.0,0.003 21.0,0.003 22.0,0.001 - -#: RE,P P --> JET X -#: SQRT(S) [GeV],200.0 -See description,See description -,5.0 1.0,0.008 2.0,0.015 @@ -141,10 +114,6 @@ See description,See description 20.0,0.007 21.0,0.005 22.0,0.002 - -#: RE,P P --> JET X -#: SQRT(S) [GeV],200.0 -See description,See description -,6.0 1.0,0.008 2.0,0.015 @@ -168,10 +137,6 @@ See description,See description 20.0,0.011 21.0,0.008 22.0,0.003 - -#: RE,P P --> JET X -#: SQRT(S) [GeV],200.0 -See description,See description -,7.0 1.0,0.006 2.0,0.01 @@ -195,10 +160,6 @@ See description,See description 20.0,0.016 21.0,0.011 22.0,0.005 - -#: RE,P P --> JET X -#: SQRT(S) [GeV],200.0 -See description,See description -,8.0 1.0,0.005 2.0,0.009 @@ -222,10 +183,6 @@ See description,See description 20.0,0.026 21.0,0.02 22.0,0.009 - -#: RE,P P --> JET X -#: SQRT(S) [GeV],200.0 -See description,See description -,9.0 1.0,0.003 2.0,0.005 @@ -249,10 +206,6 @@ See description,See description 20.0,0.046 21.0,0.032 22.0,0.018 - -#: RE,P P --> JET X -#: SQRT(S) [GeV],200.0 -See description,See description -,10.0 1.0,0.002 2.0,0.004 @@ -276,10 +229,6 @@ See description,See description 20.0,0.026 21.0,0.048 22.0,0.032 - -#: RE,P P --> JET X -#: SQRT(S) [GeV],200.0 -See description,See description -,11.0 1.0,0.002 2.0,0.003 @@ -303,10 +252,6 @@ See description,See description 20.0,0.013 21.0,0.028 22.0,0.04 - -#: RE,P P --> JET X -#: SQRT(S) [GeV],200.0 -See description,See description -,12.0 1.0,0.043 2.0,0.011 @@ -330,10 +275,6 @@ See description,See description 20.0,0.001 21.0,0.002 22.0,0.001 - -#: RE,P P --> JET X -#: SQRT(S) [GeV],200.0 -See description,See description -,13.0 1.0,0.011 2.0,0.047 @@ -357,10 +298,6 @@ See description,See description 20.0,0.002 21.0,0.003 22.0,0.001 - -#: RE,P P --> JET X -#: SQRT(S) [GeV],200.0 -See description,See description -,14.0 1.0,0.011 2.0,0.018 @@ -384,10 +321,6 @@ See description,See description 20.0,0.004 21.0,0.004 22.0,0.002 - -#: RE,P P --> JET X -#: SQRT(S) [GeV],200.0 -See description,See description -,15.0 1.0,0.005 2.0,0.009 @@ -411,10 +344,6 @@ See description,See description 20.0,0.002 21.0,0.003 22.0,0.001 - -#: RE,P P --> JET X -#: SQRT(S) [GeV],200.0 -See description,See description -,16.0 1.0,0.005 2.0,0.008 @@ -438,10 +367,6 @@ See description,See description 20.0,0.004 21.0,0.002 22.0,0.002 - -#: RE,P P --> JET X -#: SQRT(S) [GeV],200.0 -See description,See description -,17.0 1.0,0.003 2.0,0.006 @@ -465,10 +390,6 @@ See description,See description 20.0,0.006 21.0,0.004 22.0,0.001 - -#: RE,P P --> JET X -#: SQRT(S) [GeV],200.0 -See description,See description -,18.0 1.0,0.005 2.0,0.009 @@ -492,10 +413,6 @@ See description,See description 20.0,0.01 21.0,0.007 22.0,0.003 - -#: RE,P P --> JET X -#: SQRT(S) [GeV],200.0 -See description,See description -,19.0 1.0,0.002 2.0,0.004 @@ -519,10 +436,6 @@ See description,See description 20.0,0.015 21.0,0.011 22.0,0.005 - -#: RE,P P --> JET X -#: SQRT(S) [GeV],200.0 -See description,See description -,20.0 1.0,0.001 2.0,0.003 @@ -546,10 +459,6 @@ See description,See description 20.0,1.0 21.0,0.017 22.0,0.008 - -#: RE,P P --> JET X -#: SQRT(S) [GeV],200.0 -See description,See description -,21.0 1.0,0.002 2.0,0.004 @@ -573,10 +482,6 @@ See description,See description 20.0,0.017 21.0,1.0 22.0,0.014 - -#: RE,P P --> JET X -#: SQRT(S) [GeV],200.0 -See description,See description -,22.0 1.0,0.001 2.0,0.002 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/uncertainties.yaml index a48e36cbe1..6ff8d3bc4d 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/uncertainties.yaml @@ -1,4 +1,92 @@ definitions: + sys_0: + description: 0 artificial correlated statistical uncertainty + treatment: ADD + type: CORR + sys_1: + description: 1 artificial correlated statistical uncertainty + treatment: ADD + type: CORR + sys_2: + description: 2 artificial correlated statistical uncertainty + treatment: ADD + type: CORR + sys_3: + description: 3 artificial correlated statistical uncertainty + treatment: ADD + type: CORR + sys_4: + description: 4 artificial correlated statistical uncertainty + treatment: ADD + type: CORR + sys_5: + description: 5 artificial correlated statistical uncertainty + treatment: ADD + type: CORR + sys_6: + description: 6 artificial correlated statistical uncertainty + treatment: ADD + type: CORR + sys_7: + description: 7 artificial correlated statistical uncertainty + treatment: ADD + type: CORR + sys_8: + description: 8 artificial correlated statistical uncertainty + treatment: ADD + type: CORR + sys_9: + description: 9 artificial correlated statistical uncertainty + treatment: ADD + type: CORR + sys_10: + description: 10 artificial correlated statistical uncertainty + treatment: ADD + type: CORR + sys_11: + description: 11 artificial correlated statistical uncertainty + treatment: ADD + type: CORR + sys_12: + description: 12 artificial correlated statistical uncertainty + treatment: ADD + type: CORR + sys_13: + description: 13 artificial correlated statistical uncertainty + treatment: ADD + type: CORR + sys_14: + description: 14 artificial correlated statistical uncertainty + treatment: ADD + type: CORR + sys_15: + description: 15 artificial correlated statistical uncertainty + treatment: ADD + type: CORR + sys_16: + description: 16 artificial correlated statistical uncertainty + treatment: ADD + type: CORR + sys_17: + description: 17 artificial correlated statistical uncertainty + treatment: ADD + type: CORR + sys_18: + description: 18 artificial correlated statistical uncertainty + treatment: ADD + type: CORR + sys_19: + description: 19 artificial correlated statistical uncertainty + treatment: ADD + type: CORR + sys_20: + description: 20 artificial correlated statistical uncertainty + treatment: ADD + type: CORR + sys_21: + description: 21 artificial correlated statistical uncertainty + treatment: ADD + type: CORR stat: description: statistical uncertainty treatment: ADD @@ -10,45 +98,529 @@ definitions: bins: - stat: 0.0015 sys: 0.0003 + sys_0: -1.6448417112301333e-06 + sys_1: 3.0767956744795033e-06 + sys_2: 2.985686421137934e-06 + sys_3: 2.6739400670555545e-06 + sys_4: 1.5799135431026458e-06 + sys_5: 4.469439476545788e-06 + sys_6: 3.5031982026635955e-06 + sys_7: -8.192103049239285e-06 + sys_8: 8.519902585570326e-06 + sys_9: 1.0162143079716163e-05 + sys_10: 5.851109783478681e-06 + sys_11: 1.9163436414823837e-05 + sys_12: 1.1503154098901525e-05 + sys_13: 3.266469386476217e-05 + sys_14: 2.303922686539146e-05 + sys_15: 6.747820260959229e-05 + sys_16: 3.817964657258357e-05 + sys_17: 0.0014256774940655404 + sys_18: 0.00035118617038519697 + sys_19: -0.0002906207220419269 + sys_20: -3.13699619655819e-05 + sys_21: -1.4797025494046162e-05 - stat: 0.0016 sys: 0.0004 + sys_0: -3.4518076796518805e-06 + sys_1: 4.96397343778174e-06 + sys_2: 6.477702387074787e-06 + sys_3: 5.831872404589162e-06 + sys_4: 4.903983464637898e-06 + sys_5: 7.724039432497479e-06 + sys_6: 7.409090510462631e-06 + sys_7: -1.5725599983883505e-05 + sys_8: 1.648520346596191e-05 + sys_9: 1.8430421088323036e-05 + sys_10: 1.2989102745154597e-05 + sys_11: 4.030678459253012e-05 + sys_12: 2.102206802324885e-05 + sys_13: 7.865712901534335e-05 + sys_14: 5.836027217666717e-05 + sys_15: 0.0003342791734870414 + sys_16: 3.573059862965882e-05 + sys_17: -7.565683816981277e-05 + sys_18: 0.0006274657183167754 + sys_19: 0.0002189113700384152 + sys_20: 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Mon, 22 Apr 2024 18:50:41 +0200 Subject: [PATCH 08/70] init 510 correlated data --- .../nnpdf_data/filter_utils/correlations.py | 78 +++++ .../filter_utils/star_2013_510gev.py | 268 ++++++++++++++++++ .../STAR_2013_1JET_510GEV/data.yaml | 15 + .../STAR_2013_1JET_510GEV/kinematics.yaml | 169 +++++++++++ .../STAR_2013_1JET_510GEV/metadata.yaml | 50 ++++ ...jettopologyA-DijettopologyAcorrelation.csv | 86 ++++++ ...jettopologyA-DijettopologyBcorrelation.csv | 164 +++++++++++ ...jettopologyA-DijettopologyCcorrelation.csv | 152 ++++++++++ ...jettopologyA-DijettopologyDcorrelation.csv | 152 ++++++++++ ...jettopologyB-DijettopologyBcorrelation.csv | 99 +++++++ ...jettopologyB-DijettopologyCcorrelation.csv | 164 +++++++++++ ...jettopologyB-DijettopologyDcorrelation.csv | 164 +++++++++++ ...jettopologyC-DijettopologyCcorrelation.csv | 86 ++++++ ...jettopologyC-DijettopologyDcorrelation.csv | 152 ++++++++++ ...jettopologyD-DijettopologyDcorrelation.csv | 86 ++++++ .../STAR_2013_1JET_510GEV/rawdata/Figure3.csv | 54 ++++ .../rawdata/Figure5topologyA.csv | 34 +++ .../rawdata/Figure5topologyB.csv | 36 +++ .../rawdata/Figure5topologyC.csv | 34 +++ .../rawdata/Figure5topologyD.csv | 34 +++ ...Inclusivejet-DijettopologyAcorrelation.csv | 176 ++++++++++++ ...Inclusivejet-DijettopologyBcorrelation.csv | 190 +++++++++++++ ...Inclusivejet-DijettopologyCcorrelation.csv | 176 ++++++++++++ ...Inclusivejet-DijettopologyDcorrelation.csv | 176 ++++++++++++ .../Inclusivejet-Inclusivejetcorrelation.csv | 113 ++++++++ .../STAR_2013_1JET_510GEV/uncertainties.yaml | 268 ++++++++++++++++++ .../STAR_2013_2JET_A_510GEV/data.yaml | 13 + .../STAR_2013_2JET_A_510GEV/kinematics.yaml | 97 +++++++ .../STAR_2013_2JET_A_510GEV/metadata.yaml | 39 +++ .../uncertainties.yaml | 210 ++++++++++++++ .../STAR_2013_2JET_B_510GEV/data.yaml | 14 + .../STAR_2013_2JET_B_510GEV/kinematics.yaml | 105 +++++++ .../STAR_2013_2JET_B_510GEV/metadata.yaml | 39 +++ .../uncertainties.yaml | 240 ++++++++++++++++ .../STAR_2013_2JET_C_510GEV/data.yaml | 13 + .../STAR_2013_2JET_C_510GEV/kinematics.yaml | 97 +++++++ .../STAR_2013_2JET_C_510GEV/metadata.yaml | 39 +++ .../uncertainties.yaml | 210 ++++++++++++++ .../STAR_2013_2JET_D_510GEV/data.yaml | 13 + .../STAR_2013_2JET_D_510GEV/kinematics.yaml | 97 +++++++ .../STAR_2013_2JET_D_510GEV/metadata.yaml | 39 +++ .../uncertainties.yaml | 210 ++++++++++++++ 42 files changed, 4651 insertions(+) create mode 100644 nnpdf_data/nnpdf_data/filter_utils/correlations.py create mode 100644 nnpdf_data/nnpdf_data/filter_utils/star_2013_510gev.py create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/data.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/kinematics.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/metadata.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/DijettopologyA-DijettopologyAcorrelation.csv create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/DijettopologyA-DijettopologyBcorrelation.csv create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/DijettopologyA-DijettopologyCcorrelation.csv create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/DijettopologyA-DijettopologyDcorrelation.csv create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/DijettopologyB-DijettopologyBcorrelation.csv create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/DijettopologyB-DijettopologyCcorrelation.csv create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/DijettopologyB-DijettopologyDcorrelation.csv create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/DijettopologyC-DijettopologyCcorrelation.csv create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/DijettopologyC-DijettopologyDcorrelation.csv create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/DijettopologyD-DijettopologyDcorrelation.csv create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/Figure3.csv create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/Figure5topologyA.csv create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/Figure5topologyB.csv create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/Figure5topologyC.csv create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/Figure5topologyD.csv create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/Inclusivejet-DijettopologyAcorrelation.csv create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/Inclusivejet-DijettopologyBcorrelation.csv create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/Inclusivejet-DijettopologyCcorrelation.csv create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/Inclusivejet-DijettopologyDcorrelation.csv create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/Inclusivejet-Inclusivejetcorrelation.csv create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/uncertainties.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_A_510GEV/data.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_A_510GEV/kinematics.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_A_510GEV/metadata.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_A_510GEV/uncertainties.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_B_510GEV/data.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_B_510GEV/kinematics.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_B_510GEV/metadata.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_B_510GEV/uncertainties.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_C_510GEV/data.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_C_510GEV/kinematics.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_C_510GEV/metadata.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_C_510GEV/uncertainties.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_D_510GEV/data.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_D_510GEV/kinematics.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_D_510GEV/metadata.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_D_510GEV/uncertainties.yaml diff --git a/nnpdf_data/nnpdf_data/filter_utils/correlations.py b/nnpdf_data/nnpdf_data/filter_utils/correlations.py new file mode 100644 index 0000000000..8589fd1c6c --- /dev/null +++ b/nnpdf_data/nnpdf_data/filter_utils/correlations.py @@ -0,0 +1,78 @@ +import numpy as np +from numpy.linalg import eig + + +def compute_covmat(corrmat: np.ndarray, unc: np.ndarray, ndata: int) -> list: + """Compute the covariance matrix with the artificial stat uncertainties.""" + # multiply by stat err + cov_mat = np.einsum("i,ij,j->ij", unc, corrmat, unc) + return covmat_to_artunc(ndata, cov_mat.flatten().tolist()) + + +def covmat_to_artunc(ndata, covmat_list, no_of_norm_mat=0): + r"""Convert the covariance matrix to a matrix of + artificial uncertainties. + + NOTE: This function has been taken from validphys.newcommondata_utils. + If those utils get merged in the future, we can replace this. + + Parameters + ---------- + ndata : integer + Number of data points + covmat_list : list + A one dimensional list which contains the elements of + the covariance matrix row by row. Since experimental + datasets provide these matrices in a list form, this + simplifies the implementation for the user. + no_of_norm_mat : int + Normalized covariance matrices may have an eigenvalue + of 0 due to the last data point not being linearly + independent. To allow for this, the user should input + the number of normalized matrices that are being treated + in an instance. For example, if a single covariance matrix + of a normalized distribution is being processed, the input + would be 1. If a covariance matrix contains pertains to + 3 normalized datasets (i.e. cross covmat for 3 + distributions), the input would be 3. The default value is + 0 for when the covariance matrix pertains to an absolute + distribution. + + Returns + ------- + artunc : list + A two dimensional matrix (given as a list of lists) + which contains artificial uncertainties to be added + to the commondata. i^th row (or list) contains the + artificial uncertainties of the i^th data point. + + """ + epsilon = -0.0000000001 + neg_eval_count = 0 + psd_check = True + covmat = np.zeros((ndata, ndata)) + artunc = np.zeros((ndata, ndata)) + for i in range(len(covmat_list)): + a = i // ndata + b = i % ndata + covmat[a][b] = covmat_list[i] + eigval, eigvec = eig(covmat) + for j in range(len(eigval)): + if eigval[j] < epsilon: + psd_check = False + elif eigval[j] > epsilon and eigval[j] <= 0: + neg_eval_count = neg_eval_count + 1 + if neg_eval_count == (no_of_norm_mat + 1): + psd_check = False + elif eigval[j] > 0: + continue + if psd_check == False: + raise ValueError("The covariance matrix is not positive-semidefinite") + else: + for i in range(ndata): + for j in range(ndata): + if eigval[j] < 0: + continue + else: + artunc[i][j] = eigvec[i][j] * np.sqrt(eigval[j]) + return artunc.tolist() diff --git a/nnpdf_data/nnpdf_data/filter_utils/star_2013_510gev.py b/nnpdf_data/nnpdf_data/filter_utils/star_2013_510gev.py new file mode 100644 index 0000000000..f545e7e45f --- /dev/null +++ b/nnpdf_data/nnpdf_data/filter_utils/star_2013_510gev.py @@ -0,0 +1,268 @@ +"""This script provides the common filer to the jet and dijet STAR 2013 datasets. +Files need to be parsed all together as there are correlations provided. +""" +import pandas as pd +import numpy as np +import pathlib +import yaml + +from correlations import compute_covmat + +# values from the paper https://arxiv.org/pdf/2110.11020.pdf +SQRTS = 510 +ETA_ABS = 0.9 +TOPOPLOGY_LIST = ["1JET", "A", "B", "C", "D"] + +HERE = pathlib.Path(__file__).parents[1] +RAWDATA_PATH = HERE / "new_commondata/STAR_2013_1JET_510GEV/rawdata/" + + +def read_1jet_data(): + data_table = pathlib.Path(RAWDATA_PATH / "Figure3.csv") + + with open(data_table, "r", encoding="utf-8") as file: + parton_jet_data = pd.read_csv( + file, delimiter=",", skiprows=lambda x: (x <= 21 or x >= 38) + ) + with open(data_table, "r", encoding="utf-8") as file: + all_data = pd.read_csv(file, delimiter=",", skiprows=37) + + df = pd.DataFrame() + df["pT"] = parton_jet_data[r"Parton Jet $p_{T}$ (GeV/$c$)"] + df["pT_min"] = ( + parton_jet_data[r"Parton Jet $p_{T}$ (GeV/$c$)"] + parton_jet_data["syst -"] + ) + df["pT_max"] = ( + parton_jet_data[r"Parton Jet $p_{T}$ (GeV/$c$)"] + parton_jet_data["syst +"] + ) + df["eta"] = 0.0 + df["eta_min"] = -ETA_ABS + df["eta_max"] = +ETA_ABS + df["sqrts"] = SQRTS + df["ALL"] = all_data[r"Inclusive Jet $A_{LL}$"] + df["stat"] = all_data[r"stat +"] + df["syst"] = all_data[r"syst +"] + + print("1JET data loaded. Npoint: ", len(df)) + return df + + +def read_2jet_data(topology): + data_table = RAWDATA_PATH / f"Figure5topology{topology}.csv" + with open(data_table, "r", encoding="utf-8") as file: + mjj_data = pd.read_csv( + file, delimiter=",", skiprows=lambda x: (x <= 5 or x >= 20) + ) + with open(data_table, "r", encoding="utf-8") as file: + all_data = pd.read_csv(file, delimiter=",", skiprows=20) + + df = pd.DataFrame() + df["mjj"] = mjj_data[r"Parton Dijet $M_{inv}$ (GeV/$c^{2}$)"] + df["mjj_min"] = ( + mjj_data[r"Parton Dijet $M_{inv}$ (GeV/$c^{2}$)"] + mjj_data["syst -"] + ) + df["mjj_max"] = ( + mjj_data[r"Parton Dijet $M_{inv}$ (GeV/$c^{2}$)"] + mjj_data["syst +"] + ) + df["sqrts"] = SQRTS + df["ALL"] = all_data[r"Dijet $A_{LL}$, topology " + topology] + df["stat"] = all_data[r"stat +"] + df["syst"] = all_data[r"syst +"] + + print(f"2JET {topology} data loaded. Npoint: ", len(df)) + return df + + +def get_correlation_label(a): + if a == "1JET": + return "Inclusivejet" + return f"Dijettopology{a}" + + +def upper_triangular_to_symmetric(ut, dim): + """Build a symmetric matrix from the upper diagonal""" + corr = np.zeros((dim, dim)) + last = dim + first = 0 + for i in range(dim): + corr[i, i:] = ut[first:last] + last += dim - i - 1 + first += dim - i + return corr + corr.T - np.eye(dim) + + +def read_correlations(ndata_dict): + """Read the correlation files and build a big matix""" + corr_rows = [] + # loop on block rows + for a, ndata_a in ndata_dict.items(): + label_a = get_correlation_label(a) + la = [a for _ in range(ndata_a)] + corr_row = pd.DataFrame() + # loop on block columns + for b, ndata_b in ndata_dict.items(): + label_b = get_correlation_label(b) + lb = [b for _ in range(ndata_b)] + + # build the block + try: + with open( + RAWDATA_PATH / f"{label_a}-{label_b}correlation.csv", + encoding="utf-8", + ) as file: + corr_df = pd.read_csv(file, delimiter=",", skiprows=6) + if a == b: + corr = upper_triangular_to_symmetric(corr_df.values[:, 2], ndata_a) + else: + corr = corr_df.values[:, 2].reshape((ndata_a, ndata_b)) + except FileNotFoundError: + corr = pd.DataFrame(np.zeros((ndata_a, ndata_b)), index=la, columns=lb) + + corr = pd.DataFrame(corr, index=la, columns=lb) + corr_row = pd.concat([corr_row, corr], axis=1) + corr_rows.append(corr_row) + + tot_corr = pd.concat(corr_rows) + return tot_corr + tot_corr.T - np.eye(np.sum((*ndata_dict.values(),))) + + +def write_1jet_data(df, art_sys, ndata): + STORE_PATH = HERE / "new_commondata/STAR_2013_1JET_510GEV/" + + # Write central data + data_central_yaml = {"data_central": list(df["ALL"])} + with open(STORE_PATH / "data.yaml", "w", encoding="utf-8") as file: + yaml.dump(data_central_yaml, file) + + # Write kin file + kin = [] + for i in range(len(df)): + kin_value = { + "pT": { + "min": float(df.loc[i, "pT_min"]), + "mid": float(df.loc[i, "pT"]), + "max": float(df.loc[i, "pT_max"]), + }, + "sqrts": {"min": None, "mid": float(df.loc[i, "sqrts"]), "max": None}, + "eta": { + "min": float(df.loc[i, "eta_min"]), + "mid": float(df.loc[i, "eta"]), + "max": float(df.loc[i, "eta_max"]), + }, + } + kin.append(kin_value) + kinematics_yaml = {"bins": kin} + with open(STORE_PATH / "kinematics.yaml", "w", encoding="utf-8") as file: + yaml.dump(kinematics_yaml, file) + + # Write unc file + error = [] + for i in range(ndata): + e = {} + # add the art sys + for j in range(ndata): + e[f"sys_{j}"] = art_sys[i][j] + e[ + "stat" + ] = 0 # This is set to 0 as the stat unc is correlated and reported in sys_0 + error.append(e) + + error_definition = { + f"sys_{i}": { + "description": f"{i} artificial correlated statistical + systematics uncertainty", + "treatment": "ADD", + "type": "CORR", + } + for i in range(ndata) + } + uncertainties_yaml = {"definitions": error_definition, "bins": error} + with open(STORE_PATH / "uncertainties.yaml", "w", encoding="utf-8") as file: + yaml.dump(uncertainties_yaml, file, sort_keys=False) + + +def write_2jet_data(df, topology, art_sys, ndata): + STORE_PATH = HERE / f"new_commondata/STAR_2013_2JET_{topology}_510GEV/" + # Write central data + data_central_yaml = {"data_central": list(df["ALL"])} + with open(STORE_PATH / "data.yaml", "w", encoding="utf-8") as file: + yaml.dump(data_central_yaml, file) + + # Write kin file + kin = [] + for i in range(len(df)): + kin_value = { + "mjj": { + "min": float(df.loc[i, "mjj_min"]), + "mid": float(df.loc[i, "mjj"]), + "max": float(df.loc[i, "mjj_max"]), + }, + "sqrts": {"min": None, "mid": float(df.loc[i, "sqrts"]), "max": None}, + } + kin.append(kin_value) + kinematics_yaml = {"bins": kin} + with open(STORE_PATH / "kinematics.yaml", "w", encoding="utf-8") as file: + yaml.dump(kinematics_yaml, file) + + # Write unc file + error = [] + for i in range(ndata): + e = {} + # add the art sys + for j in range(ndata): + e[f"sys_{j}"] = art_sys[i][j] + e["stat"] = float(df.loc[i, "stat"]) + error.append(e) + + error_definition = { + f"sys_{i}": { + "description": f"{i} artificial correlated systematics uncertainty", + "treatment": "ADD", + "type": "CORR", + } + for i in range(ndata) + } + error_definition.update( + { + "stat": { + "description": "statistical uncertainty", + "treatment": "ADD", + "type": "UNCORR", + } + } + ) + uncertainties_yaml = {"definitions": error_definition, "bins": error} + with open(STORE_PATH / "uncertainties.yaml", "w", encoding="utf-8") as file: + yaml.dump(uncertainties_yaml, file, sort_keys=False) + + +if __name__ == "__main__": + # load all the data + dfs = {"1JET": read_1jet_data()} + for topo in TOPOPLOGY_LIST[1:]: + dfs[topo] = read_2jet_data(topo) + + # load correlations + ndata_dict = {a: len(b) for a, b in dfs.items()} + correlation_df = read_correlations(ndata_dict) + # from the paper we understand that stat dijet is not correlated + # I-I (stat + sys) | I-D (stat + sys) + # D-I (stat + sys) | D-D (sys) + correlated_unc = np.sqrt( + dfs["1JET"]["syst"] ** 2 + dfs["1JET"]["stat"] ** 2 + ).values.tolist() + for a in TOPOPLOGY_LIST[1:]: + correlated_unc.extend(dfs[a]["syst"].values) + ndata_points = np.sum((*ndata_dict.values(),)) + # decompose uncertainties + art_sys = np.array(compute_covmat(correlation_df, correlated_unc, ndata_points)) + + # write data + cnt = 0 + for topo, df in dfs.items(): + ndata = ndata_dict[topo] + syst = art_sys[cnt:cnt+ndata, cnt:cnt+ndata].tolist() + if topo == "1JET": + write_1jet_data(df, syst, ndata) + else: + write_2jet_data(df, topo, syst, ndata) + cnt += ndata diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/data.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/data.yaml new file mode 100644 index 0000000000..1f9f10754d --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/data.yaml @@ -0,0 +1,15 @@ +data_central: +- 0.00626 +- 0.00258 +- 0.00277 +- -0.00075 +- -0.00085 +- 0.00444 +- 0.00308 +- 0.00572 +- 0.01008 +- 0.01033 +- 0.01249 +- 0.01824 +- 0.02205 +- 0.04527 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/kinematics.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/kinematics.yaml new file mode 100644 index 0000000000..dd7cb965e2 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/kinematics.yaml @@ -0,0 +1,169 @@ +bins: +- eta: + max: 0.9 + mid: 0.0 + min: -0.9 + pT: + max: 8.65 + mid: 7.79 + min: 6.93 + sqrts: + max: null + mid: 510.0 + min: null +- eta: + max: 0.9 + mid: 0.0 + min: -0.9 + pT: + max: 10.209999999999999 + mid: 9.62 + min: 9.03 + sqrts: + max: null + mid: 510.0 + min: null +- eta: + max: 0.9 + mid: 0.0 + min: -0.9 + pT: + max: 12.14 + mid: 11.67 + min: 11.2 + sqrts: + max: null + mid: 510.0 + min: null +- eta: + max: 0.9 + mid: 0.0 + min: -0.9 + pT: + max: 14.1 + mid: 13.59 + min: 13.08 + sqrts: + max: null + mid: 510.0 + min: null +- eta: + max: 0.9 + mid: 0.0 + min: -0.9 + pT: + max: 16.3 + mid: 15.76 + min: 15.219999999999999 + sqrts: + max: null + mid: 510.0 + min: null +- eta: + max: 0.9 + mid: 0.0 + min: -0.9 + pT: + max: 20.62 + mid: 19.89 + min: 19.16 + sqrts: + max: null + mid: 510.0 + min: null +- eta: + max: 0.9 + mid: 0.0 + min: -0.9 + pT: + max: 23.49 + mid: 22.68 + min: 21.87 + sqrts: + max: null + mid: 510.0 + min: null +- eta: + max: 0.9 + mid: 0.0 + min: -0.9 + pT: + max: 26.830000000000002 + mid: 25.94 + min: 25.05 + sqrts: + max: null + mid: 510.0 + min: null +- eta: + max: 0.9 + mid: 0.0 + min: -0.9 + pT: + max: 30.75 + mid: 29.75 + min: 28.75 + sqrts: + max: null + mid: 510.0 + min: null +- eta: + max: 0.9 + mid: 0.0 + min: -0.9 + pT: + max: 35.5 + mid: 34.29 + min: 33.08 + sqrts: + max: null + mid: 510.0 + min: null +- eta: + max: 0.9 + mid: 0.0 + min: -0.9 + pT: + max: 40.99 + mid: 39.59 + min: 38.190000000000005 + sqrts: + max: null + mid: 510.0 + min: null +- eta: + max: 0.9 + mid: 0.0 + min: -0.9 + pT: + max: 47.28 + mid: 45.76 + min: 44.239999999999995 + sqrts: + max: null + mid: 510.0 + min: null +- eta: + max: 0.9 + mid: 0.0 + min: -0.9 + pT: + max: 54.9 + mid: 53.17 + min: 51.440000000000005 + sqrts: + max: null + mid: 510.0 + min: null +- eta: + max: 0.9 + mid: 0.0 + min: -0.9 + pT: + max: 63.32 + mid: 61.37 + min: 59.419999999999995 + sqrts: + max: null + mid: 510.0 + min: null diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/metadata.yaml new file mode 100644 index 0000000000..72b51bfebf --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/metadata.yaml @@ -0,0 +1,50 @@ +setname: "STAR_2013_1JET_510GEV" + +nnpdf_metadata: + experiment: "STAR" + nnpdf31_process: "JETS" + +iNSPIRE: + url: "https://inspirehep.net/literature/1949588" +hepdata: + url: "https://www.hepdata.net/record/ins1949588" + version: 1 + +version: 1 +version_comment: "Initial implementation" + +implemented_observables: + - observable: { description: "$A_{LL}$ as function of $p_T$", label: "$A_{LL}$", units: "" } + observable_name: ALL + process_type: JET_POL + ndata: 14 + tables: [3] + kinematics: + variables: + pT: + { + description: "mean transverse momentum", + label: '$\langle pT \rangle$', + units: "$GeV$", + } + sqrts: + { + description: "center of mass energy", + label: '$\sqrt{s}$', + units: "$GeV$", + } + eta: { description: "pseudorapidity", label: '$\eta$', units: "" } + file: kinematics.yaml + data_central: data.yaml + data_uncertainties: + - uncertainties.yaml + kinematic_coverage: [pT, sqrts, eta] + plotting: + dataset_label: "STAR 510 TeV (2013) 1-JET $A_{LL}$" + kinematics_override: identity + plot_x: pT + x_scale: log + y_label: "$A_{LL}$" + theory: + FK_tables: + - - STAR_2013_1JET_510GEV_ALL diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/DijettopologyA-DijettopologyAcorrelation.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/DijettopologyA-DijettopologyAcorrelation.csv new file mode 100644 index 0000000000..2f4590b1e3 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/DijettopologyA-DijettopologyAcorrelation.csv @@ -0,0 +1,86 @@ +#: table_doi: 10.17182/hepdata.114778.v1/t11 +#: name: Dijet topology A correlation +#: description: The correlation matrix for the point-to-point uncertainties (systematics only) for forward-forward dijet measurements (topology A). The relative luminosity and beam polarization uncertainties are not included because they are the same for all points. +#: data_file: DijA.yaml +#: keyword reactions: P P --> JET JET X +#: keyword observables: CORR +Topology A - Parton Dijet $M_{inv}$ (GeV/$c^2$),Topology A - Parton Dijet $M_{inv}$ (GeV/$c^2$),Correlation DijetA +15.74,15.74,1.0 +15.74,18.5,0.016 +15.74,21.96,0.019 +15.74,26.17,0.021 +15.74,31.63,0.019 +15.74,37.8,0.015 +15.74,44.75,0.014 +15.74,53.31,0.01 +15.74,63.64,0.007 +15.74,75.32,0.005 +15.74,89.66,0.003 +15.74,105.63,0.002 +18.5,18.5,1.0 +18.5,21.96,0.073 +18.5,26.17,0.079 +18.5,31.63,0.073 +18.5,37.8,0.058 +18.5,44.75,0.052 +18.5,53.31,0.039 +18.5,63.64,0.028 +18.5,75.32,0.017 +18.5,89.66,0.011 +18.5,105.63,0.006 +21.96,21.96,1.0 +21.96,26.17,0.042 +21.96,31.63,0.039 +21.96,37.8,0.031 +21.96,44.75,0.028 +21.96,53.31,0.021 +21.96,63.64,0.015 +21.96,75.32,0.009 +21.96,89.66,0.006 +21.96,105.63,0.003 +26.17,26.17,1.0 +26.17,31.63,0.052 +26.17,37.8,0.041 +26.17,44.75,0.037 +26.17,53.31,0.027 +26.17,63.64,0.02 +26.17,75.32,0.012 +26.17,89.66,0.008 +26.17,105.63,0.004 +31.63,31.63,1.0 +31.63,37.8,0.039 +31.63,44.75,0.035 +31.63,53.31,0.026 +31.63,63.64,0.019 +31.63,75.32,0.012 +31.63,89.66,0.008 +31.63,105.63,0.004 +37.8,37.8,1.0 +37.8,44.75,0.029 +37.8,53.31,0.022 +37.8,63.64,0.015 +37.8,75.32,0.01 +37.8,89.66,0.006 +37.8,105.63,0.004 +44.75,44.75,1.0 +44.75,53.31,0.021 +44.75,63.64,0.015 +44.75,75.32,0.009 +44.75,89.66,0.006 +44.75,105.63,0.003 +53.31,53.31,1.0 +53.31,63.64,0.013 +53.31,75.32,0.008 +53.31,89.66,0.005 +53.31,105.63,0.003 +63.64,63.64,1.0 +63.64,75.32,0.01 +63.64,89.66,0.006 +63.64,105.63,0.003 +75.32,75.32,1.0 +75.32,89.66,0.007 +75.32,105.63,0.004 +89.66,89.66,1.0 +89.66,105.63,0.004 +105.63,105.63,1.0 + diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/DijettopologyA-DijettopologyBcorrelation.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/DijettopologyA-DijettopologyBcorrelation.csv new file mode 100644 index 0000000000..2a74b4f314 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/DijettopologyA-DijettopologyBcorrelation.csv @@ -0,0 +1,164 @@ +#: table_doi: 10.17182/hepdata.114778.v1/t12 +#: name: Dijet topology A - Dijet topology B correlation +#: description: The correlation matrix for the point-to-point uncertainties (systematics only) coupling forward-forward dijet measurements (topology A) with forward-central dijet measurements (topology B). The relative luminosity and beam polarization uncertainties are not included because they are the same for all points. +#: data_file: DijA-B.yaml +#: keyword reactions: P P --> JET JET X +#: keyword observables: CORR +Topology A - Parton Dijet $M_{inv}$ (GeV/$c^2$),Topology B - Parton Dijet $M_{inv}$ (GeV/$c^2$),Correlation DijetA-DijetB +15.74,15.49,0.008 +15.74,18.48,0.018 +15.74,22.33,0.022 +15.74,26.67,0.024 +15.74,32.16,0.022 +15.74,38.59,0.018 +15.74,45.66,0.016 +15.74,54.49,0.012 +15.74,65.02,0.009 +15.74,77.16,0.006 +15.74,91.33,0.004 +15.74,109.2,0.002 +15.74,129.75,0.001 +18.5,15.49,0.024 +18.5,18.48,0.055 +18.5,22.33,0.065 +18.5,26.67,0.072 +18.5,32.16,0.068 +18.5,38.59,0.054 +18.5,45.66,0.049 +18.5,54.49,0.037 +18.5,65.02,0.027 +18.5,77.16,0.017 +18.5,91.33,0.011 +18.5,109.2,0.006 +18.5,129.75,0.003 +21.96,15.49,0.02 +21.96,18.48,0.044 +21.96,22.33,0.053 +21.96,26.67,0.059 +21.96,32.16,0.055 +21.96,38.59,0.044 +21.96,45.66,0.04 +21.96,54.49,0.03 +21.96,65.02,0.022 +21.96,77.16,0.014 +21.96,91.33,0.009 +21.96,109.2,0.005 +21.96,129.75,0.003 +26.17,15.49,0.024 +26.17,18.48,0.055 +26.17,22.33,0.066 +26.17,26.67,0.073 +26.17,32.16,0.068 +26.17,38.59,0.055 +26.17,45.66,0.049 +26.17,54.49,0.037 +26.17,65.02,0.027 +26.17,77.16,0.017 +26.17,91.33,0.011 +26.17,109.2,0.006 +26.17,129.75,0.003 +31.63,15.49,0.024 +31.63,18.48,0.054 +31.63,22.33,0.065 +31.63,26.67,0.072 +31.63,32.16,0.067 +31.63,38.59,0.054 +31.63,45.66,0.049 +31.63,54.49,0.036 +31.63,65.02,0.026 +31.63,77.16,0.017 +31.63,91.33,0.011 +31.63,109.2,0.006 +31.63,129.75,0.003 +37.8,15.49,0.02 +37.8,18.48,0.046 +37.8,22.33,0.055 +37.8,26.67,0.061 +37.8,32.16,0.057 +37.8,38.59,0.046 +37.8,45.66,0.041 +37.8,54.49,0.031 +37.8,65.02,0.023 +37.8,77.16,0.014 +37.8,91.33,0.009 +37.8,109.2,0.005 +37.8,129.75,0.003 +44.75,15.49,0.02 +44.75,18.48,0.045 +44.75,22.33,0.054 +44.75,26.67,0.06 +44.75,32.16,0.056 +44.75,38.59,0.045 +44.75,45.66,0.041 +44.75,54.49,0.03 +44.75,65.02,0.022 +44.75,77.16,0.014 +44.75,91.33,0.009 +44.75,109.2,0.005 +44.75,129.75,0.003 +53.31,15.49,0.019 +53.31,18.48,0.042 +53.31,22.33,0.051 +53.31,26.67,0.056 +53.31,32.16,0.052 +53.31,38.59,0.042 +53.31,45.66,0.038 +53.31,54.49,0.028 +53.31,65.02,0.021 +53.31,77.16,0.013 +53.31,91.33,0.009 +53.31,109.2,0.005 +53.31,129.75,0.003 +63.64,15.49,0.02 +63.64,18.48,0.045 +63.64,22.33,0.055 +63.64,26.67,0.06 +63.64,32.16,0.056 +63.64,38.59,0.045 +63.64,45.66,0.041 +63.64,54.49,0.031 +63.64,65.02,0.022 +63.64,77.16,0.014 +63.64,91.33,0.009 +63.64,109.2,0.005 +63.64,129.75,0.003 +75.32,15.49,0.023 +75.32,18.48,0.051 +75.32,22.33,0.062 +75.32,26.67,0.068 +75.32,32.16,0.064 +75.32,38.59,0.051 +75.32,45.66,0.046 +75.32,54.49,0.035 +75.32,65.02,0.025 +75.32,77.16,0.016 +75.32,91.33,0.01 +75.32,109.2,0.006 +75.32,129.75,0.003 +89.66,15.49,0.022 +89.66,18.48,0.049 +89.66,22.33,0.058 +89.66,26.67,0.064 +89.66,32.16,0.06 +89.66,38.59,0.048 +89.66,45.66,0.043 +89.66,54.49,0.033 +89.66,65.02,0.024 +89.66,77.16,0.015 +89.66,91.33,0.01 +89.66,109.2,0.006 +89.66,129.75,0.003 +105.63,15.49,0.019 +105.63,18.48,0.043 +105.63,22.33,0.052 +105.63,26.67,0.057 +105.63,32.16,0.053 +105.63,38.59,0.043 +105.63,45.66,0.039 +105.63,54.49,0.029 +105.63,65.02,0.021 +105.63,77.16,0.013 +105.63,91.33,0.009 +105.63,109.2,0.005 +105.63,129.75,0.003 + diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/DijettopologyA-DijettopologyCcorrelation.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/DijettopologyA-DijettopologyCcorrelation.csv new file mode 100644 index 0000000000..1e6f4a26a6 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/DijettopologyA-DijettopologyCcorrelation.csv @@ -0,0 +1,152 @@ +#: table_doi: 10.17182/hepdata.114778.v1/t13 +#: name: Dijet topology A - Dijet topology C correlation +#: description: The correlation matrix for the point-to-point uncertainties (systematics only) coupling forward-forward dijet measurements (topology A) with forward-central dijet measurements (topology C). The relative luminosity and beam polarization uncertainties are not included because they are the same for all points. +#: data_file: DijA-C.yaml +#: keyword reactions: P P --> JET JET X +#: keyword observables: CORR +Topology A - Parton Dijet $M_{inv}$ (GeV/$c^2$),Topology C - Parton Dijet $M_{inv}$ (GeV/$c^2$),Correlation DijetA-DijetC +15.74,15.72,0.009 +15.74,18.9,0.018 +15.74,22.24,0.022 +15.74,27.14,0.023 +15.74,33.03,0.022 +15.74,39.35,0.017 +15.74,46.62,0.015 +15.74,55.74,0.012 +15.74,66.39,0.008 +15.74,78.97,0.005 +15.74,94.22,0.003 +15.74,111.48,0.002 +18.5,15.72,0.047 +18.5,18.9,0.096 +18.5,22.24,0.116 +18.5,27.14,0.125 +18.5,33.03,0.115 +18.5,39.35,0.092 +18.5,46.62,0.082 +18.5,55.74,0.061 +18.5,66.39,0.044 +18.5,78.97,0.028 +18.5,94.22,0.018 +18.5,111.48,0.011 +21.96,15.72,0.013 +21.96,18.9,0.027 +21.96,22.24,0.032 +21.96,27.14,0.035 +21.96,33.03,0.032 +21.96,39.35,0.025 +21.96,46.62,0.023 +21.96,55.74,0.017 +21.96,66.39,0.012 +21.96,78.97,0.008 +21.96,94.22,0.005 +21.96,111.48,0.003 +26.17,15.72,0.022 +26.17,18.9,0.046 +26.17,22.24,0.055 +26.17,27.14,0.059 +26.17,33.03,0.055 +26.17,39.35,0.044 +26.17,46.62,0.039 +26.17,55.74,0.029 +26.17,66.39,0.021 +26.17,78.97,0.013 +26.17,94.22,0.009 +26.17,111.48,0.005 +31.63,15.72,0.02 +31.63,18.9,0.041 +31.63,22.24,0.049 +31.63,27.14,0.053 +31.63,33.03,0.049 +31.63,39.35,0.039 +31.63,46.62,0.035 +31.63,55.74,0.026 +31.63,66.39,0.019 +31.63,78.97,0.012 +31.63,94.22,0.008 +31.63,111.48,0.004 +37.8,15.72,0.016 +37.8,18.9,0.033 +37.8,22.24,0.039 +37.8,27.14,0.042 +37.8,33.03,0.039 +37.8,39.35,0.031 +37.8,46.62,0.028 +37.8,55.74,0.021 +37.8,66.39,0.015 +37.8,78.97,0.01 +37.8,94.22,0.006 +37.8,111.48,0.004 +44.75,15.72,0.015 +44.75,18.9,0.031 +44.75,22.24,0.038 +44.75,27.14,0.041 +44.75,33.03,0.038 +44.75,39.35,0.03 +44.75,46.62,0.027 +44.75,55.74,0.02 +44.75,66.39,0.014 +44.75,78.97,0.009 +44.75,94.22,0.006 +44.75,111.48,0.003 +53.31,15.72,0.014 +53.31,18.9,0.029 +53.31,22.24,0.035 +53.31,27.14,0.038 +53.31,33.03,0.035 +53.31,39.35,0.028 +53.31,46.62,0.025 +53.31,55.74,0.019 +53.31,66.39,0.013 +53.31,78.97,0.009 +53.31,94.22,0.006 +53.31,111.48,0.003 +63.64,15.72,0.016 +63.64,18.9,0.034 +63.64,22.24,0.04 +63.64,27.14,0.044 +63.64,33.03,0.04 +63.64,39.35,0.032 +63.64,46.62,0.029 +63.64,55.74,0.021 +63.64,66.39,0.015 +63.64,78.97,0.01 +63.64,94.22,0.006 +63.64,111.48,0.004 +75.32,15.72,0.021 +75.32,18.9,0.043 +75.32,22.24,0.052 +75.32,27.14,0.056 +75.32,33.03,0.051 +75.32,39.35,0.041 +75.32,46.62,0.037 +75.32,55.74,0.027 +75.32,66.39,0.02 +75.32,78.97,0.013 +75.32,94.22,0.008 +75.32,111.48,0.005 +89.66,15.72,0.02 +89.66,18.9,0.04 +89.66,22.24,0.049 +89.66,27.14,0.052 +89.66,33.03,0.048 +89.66,39.35,0.039 +89.66,46.62,0.035 +89.66,55.74,0.026 +89.66,66.39,0.019 +89.66,78.97,0.012 +89.66,94.22,0.008 +89.66,111.48,0.004 +105.63,15.72,0.021 +105.63,18.9,0.044 +105.63,22.24,0.053 +105.63,27.14,0.057 +105.63,33.03,0.052 +105.63,39.35,0.042 +105.63,46.62,0.037 +105.63,55.74,0.028 +105.63,66.39,0.02 +105.63,78.97,0.013 +105.63,94.22,0.008 +105.63,111.48,0.005 + diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/DijettopologyA-DijettopologyDcorrelation.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/DijettopologyA-DijettopologyDcorrelation.csv new file mode 100644 index 0000000000..ba66cb31db --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/DijettopologyA-DijettopologyDcorrelation.csv @@ -0,0 +1,152 @@ +#: table_doi: 10.17182/hepdata.114778.v1/t14 +#: name: Dijet topology A - Dijet topology D correlation +#: description: The correlation matrix for the point-to-point uncertainties (systematics only) coupling forward-forward dijet measurements (topology A) with forward-central dijet measurements (topology D). The relative luminosity and beam polarization uncertainties are not included because they are the same for all points. +#: data_file: DijA-D.yaml +#: keyword reactions: P P --> JET JET X +#: keyword observables: CORR +Topology A - Parton Dijet $M_{inv}$ (GeV/$c^2$),Topology C - Parton Dijet $M_{inv}$ (GeV/$c^2$),Correlation DijetA-DijetD +15.74,18.2,0.029 +15.74,21.67,0.039 +15.74,26.12,0.044 +15.74,31.42,0.043 +15.74,37.33,0.036 +15.74,44.6,0.033 +15.74,53.61,0.025 +15.74,63.38,0.019 +15.74,75.52,0.012 +15.74,89.6,0.008 +15.74,106.63,0.005 +15.74,127.17,0.003 +18.5,18.2,0.062 +18.5,21.67,0.084 +18.5,26.12,0.096 +18.5,31.42,0.094 +18.5,37.33,0.078 +18.5,44.6,0.071 +18.5,53.61,0.054 +18.5,63.38,0.04 +18.5,75.52,0.026 +18.5,89.6,0.017 +18.5,106.63,0.01 +18.5,127.17,0.005 +21.96,18.2,0.026 +21.96,21.67,0.035 +21.96,26.12,0.041 +21.96,31.42,0.04 +21.96,37.33,0.033 +21.96,44.6,0.03 +21.96,53.61,0.023 +21.96,63.38,0.017 +21.96,75.52,0.011 +21.96,89.6,0.007 +21.96,106.63,0.004 +21.96,127.17,0.002 +26.17,18.2,0.067 +26.17,21.67,0.092 +26.17,26.12,0.105 +26.17,31.42,0.103 +26.17,37.33,0.084 +26.17,44.6,0.077 +26.17,53.61,0.059 +26.17,63.38,0.044 +26.17,75.52,0.029 +26.17,89.6,0.019 +26.17,106.63,0.011 +26.17,127.17,0.006 +31.63,18.2,0.058 +31.63,21.67,0.078 +31.63,26.12,0.09 +31.63,31.42,0.088 +31.63,37.33,0.072 +31.63,44.6,0.066 +31.63,53.61,0.051 +31.63,63.38,0.038 +31.63,75.52,0.025 +31.63,89.6,0.016 +31.63,106.63,0.01 +31.63,127.17,0.005 +37.8,18.2,0.043 +37.8,21.67,0.058 +37.8,26.12,0.067 +37.8,31.42,0.065 +37.8,37.33,0.054 +37.8,44.6,0.049 +37.8,53.61,0.038 +37.8,63.38,0.028 +37.8,75.52,0.018 +37.8,89.6,0.012 +37.8,106.63,0.007 +37.8,127.17,0.004 +44.75,18.2,0.038 +44.75,21.67,0.052 +44.75,26.12,0.059 +44.75,31.42,0.058 +44.75,37.33,0.048 +44.75,44.6,0.044 +44.75,53.61,0.034 +44.75,63.38,0.025 +44.75,75.52,0.016 +44.75,89.6,0.011 +44.75,106.63,0.006 +44.75,127.17,0.003 +53.31,18.2,0.032 +53.31,21.67,0.044 +53.31,26.12,0.05 +53.31,31.42,0.049 +53.31,37.33,0.041 +53.31,44.6,0.037 +53.31,53.61,0.028 +53.31,63.38,0.021 +53.31,75.52,0.014 +53.31,89.6,0.009 +53.31,106.63,0.005 +53.31,127.17,0.003 +63.64,18.2,0.031 +63.64,21.67,0.042 +63.64,26.12,0.048 +63.64,31.42,0.047 +63.64,37.33,0.038 +63.64,44.6,0.035 +63.64,53.61,0.027 +63.64,63.38,0.02 +63.64,75.52,0.013 +63.64,89.6,0.009 +63.64,106.63,0.005 +63.64,127.17,0.003 +75.32,18.2,0.032 +75.32,21.67,0.043 +75.32,26.12,0.049 +75.32,31.42,0.048 +75.32,37.33,0.04 +75.32,44.6,0.036 +75.32,53.61,0.028 +75.32,63.38,0.021 +75.32,75.52,0.014 +75.32,89.6,0.009 +75.32,106.63,0.005 +75.32,127.17,0.003 +89.66,18.2,0.03 +89.66,21.67,0.041 +89.66,26.12,0.047 +89.66,31.42,0.046 +89.66,37.33,0.038 +89.66,44.6,0.034 +89.66,53.61,0.026 +89.66,63.38,0.02 +89.66,75.52,0.013 +89.66,89.6,0.008 +89.66,106.63,0.005 +89.66,127.17,0.003 +105.63,18.2,0.028 +105.63,21.67,0.038 +105.63,26.12,0.044 +105.63,31.42,0.043 +105.63,37.33,0.035 +105.63,44.6,0.032 +105.63,53.61,0.025 +105.63,63.38,0.018 +105.63,75.52,0.012 +105.63,89.6,0.008 +105.63,106.63,0.005 +105.63,127.17,0.002 + diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/DijettopologyB-DijettopologyBcorrelation.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/DijettopologyB-DijettopologyBcorrelation.csv new file mode 100644 index 0000000000..b01d7a8276 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/DijettopologyB-DijettopologyBcorrelation.csv @@ -0,0 +1,99 @@ +#: table_doi: 10.17182/hepdata.114778.v1/t15 +#: name: Dijet topology B correlation +#: description: The correlation matrix for the point-to-point uncertainties (systematics only) for forward-forward dijet measurements (topology B). The relative luminosity and beam polarization uncertainties are not included because they are the same for all points. +#: data_file: DijB.yaml +#: keyword reactions: P P --> JET JET X +#: keyword observables: CORR +Topology B - Parton Dijet $M_{inv}$ (GeV/$c^2$),Topology B - Parton Dijet $M_{inv}$ (GeV/$c^2$),Correlation DijetB +15.49,15.49,1.0 +15.49,18.48,0.02 +15.49,22.33,0.024 +15.49,26.67,0.027 +15.49,32.16,0.025 +15.49,38.59,0.021 +15.49,45.66,0.019 +15.49,54.49,0.014 +15.49,65.02,0.01 +15.49,77.16,0.007 +15.49,91.33,0.004 +15.49,109.2,0.003 +15.49,129.75,0.001 +18.48,18.48,1.0 +18.48,22.33,0.059 +18.48,26.67,0.066 +18.48,32.16,0.062 +18.48,38.59,0.051 +18.48,45.66,0.046 +18.48,54.49,0.035 +18.48,65.02,0.026 +18.48,77.16,0.017 +18.48,91.33,0.011 +18.48,109.2,0.007 +18.48,129.75,0.004 +22.33,22.33,1.0 +22.33,26.67,0.08 +22.33,32.16,0.076 +22.33,38.59,0.061 +22.33,45.66,0.056 +22.33,54.49,0.042 +22.33,65.02,0.031 +22.33,77.16,0.02 +22.33,91.33,0.013 +22.33,109.2,0.008 +22.33,129.75,0.004 +26.67,26.67,1.0 +26.67,32.16,0.089 +26.67,38.59,0.072 +26.67,45.66,0.065 +26.67,54.49,0.05 +26.67,65.02,0.036 +26.67,77.16,0.024 +26.67,91.33,0.016 +26.67,109.2,0.009 +26.67,129.75,0.005 +32.16,32.16,1.0 +32.16,38.59,0.074 +32.16,45.66,0.067 +32.16,54.49,0.051 +32.16,65.02,0.037 +32.16,77.16,0.024 +32.16,91.33,0.016 +32.16,109.2,0.01 +32.16,129.75,0.005 +38.59,38.59,1.0 +38.59,45.66,0.058 +38.59,54.49,0.044 +38.59,65.02,0.033 +38.59,77.16,0.021 +38.59,91.33,0.014 +38.59,109.2,0.008 +38.59,129.75,0.004 +45.66,45.66,1.0 +45.66,54.49,0.043 +45.66,65.02,0.032 +45.66,77.16,0.021 +45.66,91.33,0.014 +45.66,109.2,0.008 +45.66,129.75,0.004 +54.49,54.49,1.0 +54.49,65.02,0.03 +54.49,77.16,0.019 +54.49,91.33,0.013 +54.49,109.2,0.008 +54.49,129.75,0.004 +65.02,65.02,1.0 +65.02,77.16,0.021 +65.02,91.33,0.014 +65.02,109.2,0.008 +65.02,129.75,0.004 +77.16,77.16,1.0 +77.16,91.33,0.014 +77.16,109.2,0.009 +77.16,129.75,0.005 +91.33,91.33,1.0 +91.33,109.2,0.008 +91.33,129.75,0.004 +109.2,109.2,1.0 +109.2,129.75,0.003 +129.75,129.75,1.0 + diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/DijettopologyB-DijettopologyCcorrelation.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/DijettopologyB-DijettopologyCcorrelation.csv new file mode 100644 index 0000000000..3002182748 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/DijettopologyB-DijettopologyCcorrelation.csv @@ -0,0 +1,164 @@ +#: table_doi: 10.17182/hepdata.114778.v1/t16 +#: name: Dijet topology B - Dijet topology C correlation +#: description: The correlation matrix for the point-to-point uncertainties (systematics only) coupling forward-forward dijet measurements (topology B) with forward-central dijet measurements (topology C). The relative luminosity and beam polarization uncertainties are not included because they are the same for all points. +#: data_file: DijB-C.yaml +#: keyword reactions: P P --> JET JET X +#: keyword observables: CORR +Topology B - Parton Dijet $M_{inv}$ (GeV/$c^2$),Topology C - Parton Dijet $M_{inv}$ (GeV/$c^2$),Correlation DijetB-DijetC +15.49,15.72,0.009 +15.49,18.9,0.02 +15.49,22.24,0.024 +15.49,27.14,0.027 +15.49,33.03,0.025 +15.49,39.35,0.02 +15.49,46.62,0.018 +15.49,55.74,0.014 +15.49,66.39,0.01 +15.49,78.97,0.006 +15.49,94.22,0.004 +15.49,111.48,0.003 +18.48,15.72,0.039 +18.48,18.9,0.086 +18.48,22.24,0.105 +18.48,27.14,0.115 +18.48,33.03,0.107 +18.48,39.35,0.086 +18.48,46.62,0.078 +18.48,55.74,0.059 +18.48,66.39,0.043 +18.48,78.97,0.028 +18.48,94.22,0.018 +18.48,111.48,0.011 +22.33,15.72,0.016 +22.33,18.9,0.036 +22.33,22.24,0.044 +22.33,27.14,0.048 +22.33,33.03,0.045 +22.33,39.35,0.036 +22.33,46.62,0.032 +22.33,55.74,0.024 +22.33,66.39,0.018 +22.33,78.97,0.011 +22.33,94.22,0.008 +22.33,111.48,0.004 +26.67,15.72,0.026 +26.67,18.9,0.057 +26.67,22.24,0.07 +26.67,27.14,0.077 +26.67,33.03,0.072 +26.67,39.35,0.058 +26.67,46.62,0.052 +26.67,55.74,0.039 +26.67,66.39,0.029 +26.67,78.97,0.018 +26.67,94.22,0.012 +26.67,111.48,0.007 +32.16,15.72,0.024 +32.16,18.9,0.053 +32.16,22.24,0.065 +32.16,27.14,0.071 +32.16,33.03,0.066 +32.16,39.35,0.053 +32.16,46.62,0.048 +32.16,55.74,0.036 +32.16,66.39,0.026 +32.16,78.97,0.017 +32.16,94.22,0.011 +32.16,111.48,0.007 +38.59,15.72,0.02 +38.59,18.9,0.044 +38.59,22.24,0.053 +38.59,27.14,0.058 +38.59,33.03,0.055 +38.59,39.35,0.044 +38.59,46.62,0.039 +38.59,55.74,0.03 +38.59,66.39,0.022 +38.59,78.97,0.014 +38.59,94.22,0.009 +38.59,111.48,0.005 +45.66,15.72,0.019 +45.66,18.9,0.043 +45.66,22.24,0.053 +45.66,27.14,0.058 +45.66,33.03,0.054 +45.66,39.35,0.044 +45.66,46.62,0.039 +45.66,55.74,0.029 +45.66,66.39,0.022 +45.66,78.97,0.014 +45.66,94.22,0.009 +45.66,111.48,0.005 +54.49,15.72,0.018 +54.49,18.9,0.041 +54.49,22.24,0.049 +54.49,27.14,0.054 +54.49,33.03,0.051 +54.49,39.35,0.041 +54.49,46.62,0.037 +54.49,55.74,0.028 +54.49,66.39,0.02 +54.49,78.97,0.013 +54.49,94.22,0.009 +54.49,111.48,0.005 +65.02,15.72,0.02 +65.02,18.9,0.045 +65.02,22.24,0.055 +65.02,27.14,0.06 +65.02,33.03,0.057 +65.02,39.35,0.045 +65.02,46.62,0.041 +65.02,55.74,0.031 +65.02,66.39,0.022 +65.02,78.97,0.015 +65.02,94.22,0.01 +65.02,111.48,0.006 +77.16,15.72,0.024 +77.16,18.9,0.053 +77.16,22.24,0.065 +77.16,27.14,0.071 +77.16,33.03,0.067 +77.16,39.35,0.054 +77.16,46.62,0.048 +77.16,55.74,0.036 +77.16,66.39,0.027 +77.16,78.97,0.017 +77.16,94.22,0.011 +77.16,111.48,0.007 +91.33,15.72,0.021 +91.33,18.9,0.046 +91.33,22.24,0.057 +91.33,27.14,0.062 +91.33,33.03,0.058 +91.33,39.35,0.047 +91.33,46.62,0.042 +91.33,55.74,0.032 +91.33,66.39,0.023 +91.33,78.97,0.015 +91.33,94.22,0.01 +91.33,111.48,0.006 +109.2,15.72,0.019 +109.2,18.9,0.042 +109.2,22.24,0.051 +109.2,27.14,0.056 +109.2,33.03,0.053 +109.2,39.35,0.042 +109.2,46.62,0.038 +109.2,55.74,0.029 +109.2,66.39,0.021 +109.2,78.97,0.014 +109.2,94.22,0.009 +109.2,111.48,0.005 +129.75,15.72,0.057 +129.75,18.9,0.126 +129.75,22.24,0.154 +129.75,27.14,0.169 +129.75,33.03,0.158 +129.75,39.35,0.127 +129.75,46.62,0.114 +129.75,55.74,0.086 +129.75,66.39,0.063 +129.75,78.97,0.041 +129.75,94.22,0.027 +129.75,111.48,0.016 + diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/DijettopologyB-DijettopologyDcorrelation.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/DijettopologyB-DijettopologyDcorrelation.csv new file mode 100644 index 0000000000..9312d55d2b --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/DijettopologyB-DijettopologyDcorrelation.csv @@ -0,0 +1,164 @@ +#: table_doi: 10.17182/hepdata.114778.v1/t17 +#: name: Dijet topology B - Dijet topology D correlation +#: description: The correlation matrix for the point-to-point uncertainties (systematics only) coupling forward-forward dijet measurements (topology B) with forward-central dijet measurements (topology D). The relative luminosity and beam polarization uncertainties are not included because they are the same for all points. +#: data_file: DijB-D.yaml +#: keyword reactions: P P --> JET JET X +#: keyword observables: CORR +Topology B - Parton Dijet $M_{inv}$ (GeV/$c^2$),Topology D - Parton Dijet $M_{inv}$ (GeV/$c^2$),Correlation DijetB-DijetD +15.49,18.2,0.031 +15.49,21.67,0.043 +15.49,26.12,0.05 +15.49,31.42,0.05 +15.49,37.33,0.041 +15.49,44.6,0.038 +15.49,53.61,0.03 +15.49,63.38,0.022 +15.49,75.52,0.015 +15.49,89.6,0.01 +15.49,106.63,0.006 +15.49,127.17,0.003 +18.48,18.2,0.055 +18.48,21.67,0.076 +18.48,26.12,0.088 +18.48,31.42,0.087 +18.48,37.33,0.072 +18.48,44.6,0.066 +18.48,53.61,0.052 +18.48,63.38,0.039 +18.48,75.52,0.026 +18.48,89.6,0.017 +18.48,106.63,0.01 +18.48,127.17,0.006 +22.33,18.2,0.035 +22.33,21.67,0.048 +22.33,26.12,0.055 +22.33,31.42,0.055 +22.33,37.33,0.046 +22.33,44.6,0.042 +22.33,53.61,0.033 +22.33,63.38,0.025 +22.33,75.52,0.016 +22.33,89.6,0.011 +22.33,106.63,0.007 +22.33,127.17,0.004 +26.67,18.2,0.084 +26.67,21.67,0.116 +26.67,26.12,0.134 +26.67,31.42,0.133 +26.67,37.33,0.111 +26.67,44.6,0.102 +26.67,53.61,0.079 +26.67,63.38,0.06 +26.67,75.52,0.039 +26.67,89.6,0.027 +26.67,106.63,0.016 +26.67,127.17,0.009 +32.16,18.2,0.075 +32.16,21.67,0.103 +32.16,26.12,0.119 +32.16,31.42,0.118 +32.16,37.33,0.098 +32.16,44.6,0.09 +32.16,53.61,0.07 +32.16,63.38,0.053 +32.16,75.52,0.035 +32.16,89.6,0.024 +32.16,106.63,0.014 +32.16,127.17,0.008 +38.59,18.2,0.057 +38.59,21.67,0.079 +38.59,26.12,0.091 +38.59,31.42,0.09 +38.59,37.33,0.075 +38.59,44.6,0.069 +38.59,53.61,0.054 +38.59,63.38,0.04 +38.59,75.52,0.027 +38.59,89.6,0.018 +38.59,106.63,0.011 +38.59,127.17,0.006 +45.66,18.2,0.052 +45.66,21.67,0.072 +45.66,26.12,0.083 +45.66,31.42,0.083 +45.66,37.33,0.069 +45.66,44.6,0.063 +45.66,53.61,0.049 +45.66,63.38,0.037 +45.66,75.52,0.024 +45.66,89.6,0.016 +45.66,106.63,0.01 +45.66,127.17,0.005 +54.49,18.2,0.044 +54.49,21.67,0.062 +54.49,26.12,0.071 +54.49,31.42,0.07 +54.49,37.33,0.058 +54.49,44.6,0.054 +54.49,53.61,0.042 +54.49,63.38,0.032 +54.49,75.52,0.021 +54.49,89.6,0.014 +54.49,106.63,0.008 +54.49,127.17,0.005 +65.02,18.2,0.041 +65.02,21.67,0.057 +65.02,26.12,0.065 +65.02,31.42,0.065 +65.02,37.33,0.054 +65.02,44.6,0.05 +65.02,53.61,0.039 +65.02,63.38,0.029 +65.02,75.52,0.019 +65.02,89.6,0.013 +65.02,106.63,0.008 +65.02,127.17,0.004 +77.16,18.2,0.039 +77.16,21.67,0.055 +77.16,26.12,0.063 +77.16,31.42,0.062 +77.16,37.33,0.052 +77.16,44.6,0.048 +77.16,53.61,0.037 +77.16,63.38,0.028 +77.16,75.52,0.018 +77.16,89.6,0.012 +77.16,106.63,0.007 +77.16,127.17,0.004 +91.33,18.2,0.034 +91.33,21.67,0.048 +91.33,26.12,0.055 +91.33,31.42,0.055 +91.33,37.33,0.045 +91.33,44.6,0.042 +91.33,53.61,0.032 +91.33,63.38,0.024 +91.33,75.52,0.016 +91.33,89.6,0.011 +91.33,106.63,0.007 +91.33,127.17,0.004 +109.2,18.2,0.027 +109.2,21.67,0.037 +109.2,26.12,0.043 +109.2,31.42,0.043 +109.2,37.33,0.035 +109.2,44.6,0.033 +109.2,53.61,0.025 +109.2,63.38,0.019 +109.2,75.52,0.013 +109.2,89.6,0.008 +109.2,106.63,0.005 +109.2,127.17,0.003 +129.75,18.2,0.063 +129.75,21.67,0.087 +129.75,26.12,0.1 +129.75,31.42,0.099 +129.75,37.33,0.082 +129.75,44.6,0.076 +129.75,53.61,0.059 +129.75,63.38,0.044 +129.75,75.52,0.029 +129.75,89.6,0.02 +129.75,106.63,0.012 +129.75,127.17,0.007 + diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/DijettopologyC-DijettopologyCcorrelation.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/DijettopologyC-DijettopologyCcorrelation.csv new file mode 100644 index 0000000000..91b0628ba6 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/DijettopologyC-DijettopologyCcorrelation.csv @@ -0,0 +1,86 @@ +#: table_doi: 10.17182/hepdata.114778.v1/t18 +#: name: Dijet topology C correlation +#: description: The correlation matrix for the point-to-point uncertainties (systematics only) for forward-forward dijet measurements (topology C). The relative luminosity and beam polarization uncertainties are not included because they are the same for all points. +#: data_file: DijC.yaml +#: keyword reactions: P P --> JET JET X +#: keyword observables: CORR +Topology C - Parton Dijet $M_{inv}$ (GeV/$c^2$),Topology C - Parton Dijet $M_{inv}$ (GeV/$c^2$),Correlation DijetC +15.72,15.72,1.0 +15.72,18.9,0.02 +15.72,22.24,0.025 +15.72,27.14,0.026 +15.72,33.03,0.024 +15.72,39.35,0.019 +15.72,46.62,0.017 +15.72,55.74,0.013 +15.72,66.39,0.009 +15.72,78.97,0.006 +15.72,94.22,0.004 +15.72,111.48,0.002 +18.9,18.9,1.0 +18.9,22.24,0.183 +18.9,27.14,0.196 +18.9,33.03,0.181 +18.9,39.35,0.145 +18.9,46.62,0.13 +18.9,55.74,0.097 +18.9,66.39,0.07 +18.9,78.97,0.045 +18.9,94.22,0.03 +18.9,111.48,0.018 +22.24,22.24,1.0 +22.24,27.14,0.028 +22.24,33.03,0.026 +22.24,39.35,0.021 +22.24,46.62,0.019 +22.24,55.74,0.014 +22.24,66.39,0.01 +22.24,78.97,0.006 +22.24,94.22,0.004 +22.24,111.48,0.003 +27.14,27.14,1.0 +27.14,33.03,0.058 +27.14,39.35,0.046 +27.14,46.62,0.041 +27.14,55.74,0.031 +27.14,66.39,0.022 +27.14,78.97,0.014 +27.14,94.22,0.009 +27.14,111.48,0.006 +33.03,33.03,1.0 +33.03,39.35,0.038 +33.03,46.62,0.034 +33.03,55.74,0.025 +33.03,66.39,0.018 +33.03,78.97,0.012 +33.03,94.22,0.008 +33.03,111.48,0.005 +39.35,39.35,1.0 +39.35,46.62,0.027 +39.35,55.74,0.02 +39.35,66.39,0.014 +39.35,78.97,0.009 +39.35,94.22,0.006 +39.35,111.48,0.004 +46.62,46.62,1.0 +46.62,55.74,0.019 +46.62,66.39,0.014 +46.62,78.97,0.009 +46.62,94.22,0.006 +46.62,111.48,0.004 +55.74,55.74,1.0 +55.74,66.39,0.013 +55.74,78.97,0.008 +55.74,94.22,0.006 +55.74,111.48,0.003 +66.39,66.39,1.0 +66.39,78.97,0.01 +66.39,94.22,0.007 +66.39,111.48,0.004 +78.97,78.97,1.0 +78.97,94.22,0.009 +78.97,111.48,0.005 +94.22,94.22,1.0 +94.22,111.48,0.005 +111.48,111.48,1.0 + diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/DijettopologyC-DijettopologyDcorrelation.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/DijettopologyC-DijettopologyDcorrelation.csv new file mode 100644 index 0000000000..2ae48ee0d0 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/DijettopologyC-DijettopologyDcorrelation.csv @@ -0,0 +1,152 @@ +#: table_doi: 10.17182/hepdata.114778.v1/t19 +#: name: Dijet topology C - Dijet topology D correlation +#: description: The correlation matrix for the point-to-point uncertainties (systematics only) coupling forward-forward dijet measurements (topology C) with forward-central dijet measurements (topology D). The relative luminosity and beam polarization uncertainties are not included because they are the same for all points. +#: data_file: DijC-D.yaml +#: keyword reactions: P P --> JET JET X +#: keyword observables: CORR +Topology C - Parton Dijet $M_{inv}$ (GeV/$c^2$),Topology D - Parton Dijet $M_{inv}$ (GeV/$c^2$),Correlation DijetC-DijetD +15.72,18.2,0.032 +15.72,21.67,0.044 +15.72,26.12,0.05 +15.72,31.42,0.049 +15.72,37.33,0.04 +15.72,44.6,0.037 +15.72,53.61,0.028 +15.72,63.38,0.021 +15.72,75.52,0.014 +15.72,89.6,0.009 +15.72,106.63,0.006 +15.72,127.17,0.003 +18.9,18.2,0.097 +18.9,21.67,0.134 +18.9,26.12,0.152 +18.9,31.42,0.15 +18.9,37.33,0.123 +18.9,44.6,0.113 +18.9,53.61,0.087 +18.9,63.38,0.065 +18.9,75.52,0.043 +18.9,89.6,0.029 +18.9,106.63,0.017 +18.9,127.17,0.01 +22.24,18.2,0.021 +22.24,21.67,0.029 +22.24,26.12,0.033 +22.24,31.42,0.032 +22.24,37.33,0.027 +22.24,44.6,0.024 +22.24,53.61,0.019 +22.24,63.38,0.014 +22.24,75.52,0.009 +22.24,89.6,0.006 +22.24,106.63,0.004 +22.24,127.17,0.002 +27.14,18.2,0.07 +27.14,21.67,0.097 +27.14,26.12,0.11 +27.14,31.42,0.108 +27.14,37.33,0.089 +27.14,44.6,0.082 +27.14,53.61,0.063 +27.14,63.38,0.047 +27.14,75.52,0.031 +27.14,89.6,0.021 +27.14,106.63,0.012 +27.14,127.17,0.007 +33.03,18.2,0.056 +33.03,21.67,0.078 +33.03,26.12,0.088 +33.03,31.42,0.087 +33.03,37.33,0.071 +33.03,44.6,0.065 +33.03,53.61,0.05 +33.03,63.38,0.037 +33.03,75.52,0.025 +33.03,89.6,0.017 +33.03,106.63,0.01 +33.03,127.17,0.006 +39.35,18.2,0.04 +39.35,21.67,0.056 +39.35,26.12,0.063 +39.35,31.42,0.062 +39.35,37.33,0.051 +39.35,44.6,0.047 +39.35,53.61,0.036 +39.35,63.38,0.027 +39.35,75.52,0.018 +39.35,89.6,0.012 +39.35,106.63,0.007 +39.35,127.17,0.004 +46.62,18.2,0.036 +46.62,21.67,0.05 +46.62,26.12,0.057 +46.62,31.42,0.056 +46.62,37.33,0.046 +46.62,44.6,0.042 +46.62,53.61,0.032 +46.62,63.38,0.024 +46.62,75.52,0.016 +46.62,89.6,0.011 +46.62,106.63,0.006 +46.62,127.17,0.004 +55.74,18.2,0.031 +55.74,21.67,0.043 +55.74,26.12,0.049 +55.74,31.42,0.048 +55.74,37.33,0.039 +55.74,44.6,0.036 +55.74,53.61,0.028 +55.74,63.38,0.021 +55.74,75.52,0.014 +55.74,89.6,0.009 +55.74,106.63,0.006 +55.74,127.17,0.003 +66.39,18.2,0.03 +66.39,21.67,0.042 +66.39,26.12,0.048 +66.39,31.42,0.047 +66.39,37.33,0.039 +66.39,44.6,0.035 +66.39,53.61,0.027 +66.39,63.38,0.02 +66.39,75.52,0.013 +66.39,89.6,0.009 +66.39,106.63,0.005 +66.39,127.17,0.003 +78.97,18.2,0.033 +78.97,21.67,0.046 +78.97,26.12,0.052 +78.97,31.42,0.051 +78.97,37.33,0.042 +78.97,44.6,0.038 +78.97,53.61,0.029 +78.97,63.38,0.022 +78.97,75.52,0.014 +78.97,89.6,0.01 +78.97,106.63,0.006 +78.97,127.17,0.003 +94.22,18.2,0.029 +94.22,21.67,0.04 +94.22,26.12,0.045 +94.22,31.42,0.044 +94.22,37.33,0.036 +94.22,44.6,0.033 +94.22,53.61,0.026 +94.22,63.38,0.019 +94.22,75.52,0.013 +94.22,89.6,0.008 +94.22,106.63,0.005 +94.22,127.17,0.003 +111.48,18.2,0.027 +111.48,21.67,0.038 +111.48,26.12,0.043 +111.48,31.42,0.042 +111.48,37.33,0.035 +111.48,44.6,0.032 +111.48,53.61,0.024 +111.48,63.38,0.018 +111.48,75.52,0.012 +111.48,89.6,0.008 +111.48,106.63,0.005 +111.48,127.17,0.003 + diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/DijettopologyD-DijettopologyDcorrelation.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/DijettopologyD-DijettopologyDcorrelation.csv new file mode 100644 index 0000000000..aca0dc39f5 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/DijettopologyD-DijettopologyDcorrelation.csv @@ -0,0 +1,86 @@ +#: table_doi: 10.17182/hepdata.114778.v1/t20 +#: name: Dijet topology D correlation +#: description: The correlation matrix for the point-to-point uncertainties (systematics only) for forward-forward dijet measurements (topology D). The relative luminosity and beam polarization uncertainties are not included because they are the same for all points. +#: data_file: DijD.yaml +#: keyword reactions: P P --> JET JET X +#: keyword observables: CORR +Topology D - Parton Dijet $M_{inv}$ (GeV/$c^2$),Topology D - Parton Dijet $M_{inv}$ (GeV/$c^2$),Correlation DijetD +18.2,18.2,1.0 +18.2,21.67,0.097 +18.2,26.12,0.115 +18.2,31.42,0.12 +18.2,37.33,0.103 +18.2,44.6,0.096 +18.2,53.61,0.077 +18.2,63.38,0.059 +18.2,75.52,0.04 +18.2,89.6,0.027 +18.2,106.63,0.017 +18.2,127.17,0.009 +21.67,21.67,1.0 +21.67,26.12,0.038 +21.67,31.42,0.04 +21.67,37.33,0.034 +21.67,44.6,0.032 +21.67,53.61,0.025 +21.67,63.38,0.019 +21.67,75.52,0.013 +21.67,89.6,0.009 +21.67,106.63,0.005 +21.67,127.17,0.003 +26.12,26.12,1.0 +26.12,31.42,0.197 +26.12,37.33,0.168 +26.12,44.6,0.158 +26.12,53.61,0.125 +26.12,63.38,0.097 +26.12,75.52,0.065 +26.12,89.6,0.045 +26.12,106.63,0.027 +26.12,127.17,0.015 +31.42,31.42,1.0 +31.42,37.33,0.13 +31.42,44.6,0.122 +31.42,53.61,0.097 +31.42,63.38,0.075 +31.42,75.52,0.05 +31.42,89.6,0.034 +31.42,106.63,0.021 +31.42,127.17,0.012 +37.33,37.33,1.0 +37.33,44.6,0.082 +37.33,53.61,0.065 +37.33,63.38,0.05 +37.33,75.52,0.034 +37.33,89.6,0.023 +37.33,106.63,0.014 +37.33,127.17,0.008 +44.6,44.6,1.0 +44.6,53.61,0.054 +44.6,63.38,0.042 +44.6,75.52,0.028 +44.6,89.6,0.019 +44.6,106.63,0.012 +44.6,127.17,0.007 +53.61,53.61,1.0 +53.61,63.38,0.032 +53.61,75.52,0.022 +53.61,89.6,0.015 +53.61,106.63,0.009 +53.61,127.17,0.005 +63.38,63.38,1.0 +63.38,75.52,0.018 +63.38,89.6,0.012 +63.38,106.63,0.007 +63.38,127.17,0.004 +75.52,75.52,1.0 +75.52,89.6,0.011 +75.52,106.63,0.007 +75.52,127.17,0.004 +89.6,89.6,1.0 +89.6,106.63,0.006 +89.6,127.17,0.003 +106.63,106.63,1.0 +106.63,127.17,0.003 +127.17,127.17,1.0 + diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/Figure3.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/Figure3.csv new file mode 100644 index 0000000000..a2811b10a3 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/Figure3.csv @@ -0,0 +1,54 @@ +#: table_doi: 10.17182/hepdata.114778.v1/t1 +#: name: Figure 3 +#: description: Parton jet $p_T$ vs $A_{LL}$ values with associated uncertainties. +#: data_file: InclusiveJet.yaml +#: keyword observables: ASYM +#: keyword reactions: P P --> JET X +Parton Jet $x_{T} (=2p_{T}/\sqrt{s})$ range,Parton Jet $x_{T} (=2p_{T}/\sqrt{s})$ range LOW,Parton Jet $x_{T} (=2p_{T}/\sqrt{s})$ range HIGH,Parton Jet $x_{T} (=2p_{T}/\sqrt{s})$,syst +,syst - +0.03055,0.02719,0.03391,0.03055,0.00336,-0.00336 +0.037725,0.03542,0.04003,0.03773,0.0023,-0.0023 +0.045759999999999995,0.04391,0.04761,0.04576,0.00185,-0.00185 +0.053290000000000004,0.05129,0.05529,0.05329,0.002,-0.002 +0.061805,0.05969,0.06392,0.0618,0.00211,-0.00211 +0.078,0.07516,0.08084,0.078,0.00284,-0.00284 +0.088945,0.08577,0.09212,0.08894,0.00318,-0.00318 +0.10172500000000001,0.09822,0.10523,0.10173,0.0035,-0.0035 +0.11667,0.11273,0.12061,0.11667,0.00394,-0.00394 +0.13446999999999998,0.12971,0.13923,0.13447,0.00476,-0.00476 +0.155255,0.14978,0.16073,0.15525,0.00548,-0.00548 +0.179455,0.17348,0.18543,0.17945,0.00597,-0.00597 +0.20851,0.20173,0.21529,0.20851,0.00678,-0.00678 +0.24066500000000002,0.23302,0.24831,0.24067,0.00765,-0.00765 + +Parton Jet $x_{T} (=2p_{T}/\sqrt{s})$ range,Parton Jet $x_{T} (=2p_{T}/\sqrt{s})$ range LOW,Parton Jet $x_{T} (=2p_{T}/\sqrt{s})$ range HIGH,Parton Jet $p_{T}$ (GeV/$c$),syst +,syst - +0.03055,0.02719,0.03391,7.79,0.86,-0.86 +0.037725,0.03542,0.04003,9.62,0.59,-0.59 +0.045759999999999995,0.04391,0.04761,11.67,0.47,-0.47 +0.053290000000000004,0.05129,0.05529,13.59,0.51,-0.51 +0.061805,0.05969,0.06392,15.76,0.54,-0.54 +0.078,0.07516,0.08084,19.89,0.73,-0.73 +0.088945,0.08577,0.09212,22.68,0.81,-0.81 +0.10172500000000001,0.09822,0.10523,25.94,0.89,-0.89 +0.11667,0.11273,0.12061,29.75,1.0,-1.0 +0.13446999999999998,0.12971,0.13923,34.29,1.21,-1.21 +0.155255,0.14978,0.16073,39.59,1.4,-1.4 +0.179455,0.17348,0.18543,45.76,1.52,-1.52 +0.20851,0.20173,0.21529,53.17,1.73,-1.73 +0.24066500000000002,0.23302,0.24831,61.37,1.95,-1.95 + +Parton Jet $x_{T} (=2p_{T}/\sqrt{s})$ range,Parton Jet $x_{T} (=2p_{T}/\sqrt{s})$ range LOW,Parton Jet $x_{T} (=2p_{T}/\sqrt{s})$ range HIGH,Inclusive Jet $A_{LL}$,stat +,stat -,syst +,syst - +0.03055,0.02719,0.03391,0.00626,0.00241,-0.00241,0.0006,-0.0006 +0.037725,0.03542,0.04003,0.00258,0.00249,-0.00249,0.00056,-0.00056 +0.045759999999999995,0.04391,0.04761,0.00277,0.00176,-0.00176,0.00054,-0.00054 +0.053290000000000004,0.05129,0.05529,-0.00075,0.00187,-0.00187,0.00054,-0.00054 +0.061805,0.05969,0.06392,-0.00085,0.00216,-0.00216,0.00051,-0.00051 +0.078,0.07516,0.08084,0.00444,0.00112,-0.00112,0.0005,-0.0005 +0.088945,0.08577,0.09212,0.00308,0.00114,-0.00114,0.0005,-0.0005 +0.10172500000000001,0.09822,0.10523,0.00572,0.00128,-0.00128,0.00051,-0.00051 +0.11667,0.11273,0.12061,0.01008,0.00161,-0.00161,0.00054,-0.00054 +0.13446999999999998,0.12971,0.13923,0.01033,0.00217,-0.00217,0.00059,-0.00059 +0.155255,0.14978,0.16073,0.01249,0.00312,-0.00312,0.00064,-0.00064 +0.179455,0.17348,0.18543,0.01824,0.00478,-0.00478,0.00068,-0.00068 +0.20851,0.20173,0.21529,0.02205,0.00788,-0.00788,0.00092,-0.00092 +0.24066500000000002,0.23302,0.24831,0.04527,0.01388,-0.01388,0.00212,-0.00212 + diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/Figure5topologyA.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/Figure5topologyA.csv new file mode 100644 index 0000000000..7efc331aa9 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/Figure5topologyA.csv @@ -0,0 +1,34 @@ +#: table_doi: 10.17182/hepdata.114778.v1/t2 +#: name: Figure 5 topology A +#: description: Parton dijet $M_{inv}$ vs $A_{LL}$ values with associated uncertainties, for topology A. +#: data_file: DijetA.yaml +#: keyword observables: ASYM +#: keyword reactions: P P --> JET JET X +Parton Dijet $M_{inv}$ (GeV/$c^{2}$) range,Parton Dijet $M_{inv}$ (GeV/$c^{2}$) range LOW,Parton Dijet $M_{inv}$ (GeV/$c^{2}$) range HIGH,Parton Dijet $M_{inv}$ (GeV/$c^{2}$),syst +,syst - +15.74,14.32,17.16,15.74,1.42,-1.42 +18.5,17.36,19.64,18.5,1.14,-1.14 +21.96,21.01,22.91,21.96,0.95,-0.95 +26.17,25.23,27.11,26.17,0.94,-0.94 +31.630000000000003,30.59,32.67,31.63,1.04,-1.04 +37.8,36.44,39.16,37.8,1.36,-1.36 +44.75,43.4,46.1,44.75,1.35,-1.35 +53.31,51.81,54.81,53.31,1.5,-1.5 +63.64,61.91,65.37,63.64,1.73,-1.73 +75.32,73.26,77.38,75.32,2.06,-2.06 +89.66,87.15,92.17,89.66,2.51,-2.51 +105.63,102.73,108.53,105.63,2.9,-2.9 + +Parton Dijet $M_{inv}$ (GeV/$c^{2}$) range,Parton Dijet $M_{inv}$ (GeV/$c^{2}$) range LOW,Parton Dijet $M_{inv}$ (GeV/$c^{2}$) range HIGH,"Dijet $A_{LL}$, topology A",stat +,stat -,syst +,syst - +15.74,14.32,17.16,-0.00548,0.00619,-0.00619,0.00055,-0.00055 +18.5,17.36,19.64,-0.00011,0.00289,-0.00289,0.00074,-0.00074 +21.96,21.01,22.91,0.00165,0.00248,-0.00248,0.0005,-0.0005 +26.17,25.23,27.11,0.00129,0.00226,-0.00226,0.00055,-0.00055 +31.630000000000003,30.59,32.67,0.00248,0.00246,-0.00246,0.00056,-0.00056 +37.8,36.44,39.16,0.00581,0.00311,-0.00311,0.00057,-0.00057 +44.75,43.4,46.1,0.00666,0.00349,-0.00349,0.00059,-0.00059 +53.31,51.81,54.81,0.0114,0.00472,-0.00472,0.00066,-0.00066 +63.64,61.91,65.37,0.01826,0.00659,-0.00659,0.00082,-0.00082 +75.32,73.26,77.38,0.02431,0.01045,-0.01045,0.00114,-0.00114 +89.66,87.15,92.17,0.03638,0.01633,-0.01633,0.00144,-0.00144 +105.63,102.73,108.53,-0.00789,0.02919,-0.02919,0.00198,-0.00198 + diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/Figure5topologyB.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/Figure5topologyB.csv new file mode 100644 index 0000000000..98b3cb8c59 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/Figure5topologyB.csv @@ -0,0 +1,36 @@ +#: table_doi: 10.17182/hepdata.114778.v1/t3 +#: name: Figure 5 topology B +#: description: Parton dijet $M_{inv}$ vs $A_{LL}$ values with associated uncertainties, for topology B. +#: data_file: DijetB.yaml +#: keyword observables: ASYM +#: keyword reactions: P P --> JET JET X +Parton Dijet $M_{inv}$ (GeV/$c^{2}$) range,Parton Dijet $M_{inv}$ (GeV/$c^{2}$) range LOW,Parton Dijet $M_{inv}$ (GeV/$c^{2}$) range HIGH,Parton Dijet $M_{inv}$ (GeV/$c^{2}$),syst +,syst - +15.49,14.02,16.96,15.49,1.47,-1.47 +18.479999999999997,17.65,19.31,18.48,0.83,-0.83 +22.33,21.58,23.08,22.33,0.75,-0.75 +26.67,25.76,27.58,26.67,0.91,-0.91 +32.16,31.17,33.15,32.16,0.99,-0.99 +38.59,37.42,39.76,38.59,1.17,-1.17 +45.66,44.25,47.07,45.66,1.41,-1.41 +54.489999999999995,52.98,56.0,54.49,1.51,-1.51 +65.02,63.27,66.77,65.02,1.75,-1.75 +77.16,75.09,79.23,77.16,2.07,-2.07 +91.33000000000001,88.76,93.9,91.33,2.57,-2.57 +109.2,106.15,112.25,109.2,3.05,-3.05 +129.75,126.3,133.2,129.75,3.45,-3.45 + +Parton Dijet $M_{inv}$ (GeV/$c^{2}$) range,Parton Dijet $M_{inv}$ (GeV/$c^{2}$) range LOW,Parton Dijet $M_{inv}$ (GeV/$c^{2}$) range HIGH,"Dijet $A_{LL}$, topology B",stat +,stat -,syst +,syst - +15.49,14.02,16.96,0.00381,0.00533,-0.00533,0.00048,-0.00048 +18.479999999999997,17.65,19.31,0.00299,0.00213,-0.00213,0.00048,-0.00048 +22.33,21.58,23.08,-0.00116,0.00173,-0.00173,0.00048,-0.00048 +26.67,25.76,27.58,0.00336,0.00152,-0.00152,0.00049,-0.00049 +32.16,31.17,33.15,-0.0006,0.00161,-0.00161,0.00051,-0.00051 +38.59,37.42,39.76,0.00154,0.00202,-0.00202,0.00053,-0.00053 +45.66,44.25,47.07,0.0062,0.00224,-0.00224,0.00056,-0.00056 +54.489999999999995,52.98,56.0,0.00865,0.00297,-0.00297,0.00062,-0.00062 +65.02,63.27,66.77,0.00806,0.00406,-0.00406,0.00074,-0.00074 +77.16,75.09,79.23,0.02428,0.00629,-0.00629,0.00094,-0.00094 +91.33000000000001,88.76,93.9,0.01063,0.00953,-0.00953,0.00108,-0.00108 +109.2,106.15,112.25,0.01248,0.01613,-0.01613,0.00121,-0.00121 +129.75,126.3,133.2,0.05037,0.02978,-0.02978,0.0028,-0.0028 + diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/Figure5topologyC.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/Figure5topologyC.csv new file mode 100644 index 0000000000..abc0f66560 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/Figure5topologyC.csv @@ -0,0 +1,34 @@ +#: table_doi: 10.17182/hepdata.114778.v1/t4 +#: name: Figure 5 topology C +#: description: Parton dijet $M_{inv}$ vs $A_{LL}$ values with associated uncertainties, for topology C. +#: data_file: DijetC.yaml +#: keyword observables: ASYM +#: keyword reactions: P P --> JET JET X +Parton Dijet $M_{inv}$ (GeV/$c^{2}$) range,Parton Dijet $M_{inv}$ (GeV/$c^{2}$) range LOW,Parton Dijet $M_{inv}$ (GeV/$c^{2}$) range HIGH,Parton Dijet $M_{inv}$ (GeV/$c^{2}$),syst +,syst - +15.72,14.18,17.26,15.72,1.54,-1.54 +18.9,17.91,19.89,18.9,0.99,-0.99 +22.240000000000002,21.22,23.26,22.24,1.02,-1.02 +27.14,26.16,28.12,27.14,0.98,-0.98 +33.03,31.94,34.12,33.03,1.09,-1.09 +39.35,37.92,40.78,39.35,1.43,-1.43 +46.62,45.08,48.16,46.62,1.54,-1.54 +55.74,54.03,57.45,55.74,1.71,-1.71 +66.38999999999999,64.46,68.32,66.39,1.93,-1.93 +78.97,76.71,81.23,78.97,2.26,-2.26 +94.22,91.37,97.07,94.22,2.85,-2.85 +111.48,108.26,114.7,111.48,3.22,-3.22 + +Parton Dijet $M_{inv}$ (GeV/$c^{2}$) range,Parton Dijet $M_{inv}$ (GeV/$c^{2}$) range LOW,Parton Dijet $M_{inv}$ (GeV/$c^{2}$) range HIGH,"Dijet $A_{LL}$, topology C",stat +,stat -,syst +,syst - +15.72,14.18,17.26,-0.01155,0.00785,-0.00785,0.00079,-0.00079 +18.9,17.91,19.89,0.00075,0.00367,-0.00367,0.00153,-0.00153 +22.240000000000002,21.22,23.26,-0.00293,0.00317,-0.00317,0.00052,-0.00052 +27.14,26.16,28.12,0.00018,0.00291,-0.00291,0.00075,-0.00075 +33.03,31.94,34.12,0.00655,0.00317,-0.00317,0.00071,-0.00071 +39.35,37.92,40.78,0.00969,0.004,-0.004,0.0007,-0.0007 +46.62,45.08,48.16,0.00817,0.00448,-0.00448,0.00073,-0.00073 +55.74,54.03,57.45,0.01317,0.00603,-0.00603,0.00082,-0.00082 +66.38999999999999,64.46,68.32,0.01866,0.00833,-0.00833,0.00105,-0.00105 +78.97,76.71,81.23,0.01712,0.01292,-0.01292,0.00151,-0.00151 +94.22,91.37,97.07,0.01357,0.01964,-0.01964,0.00173,-0.00173 +111.48,108.26,114.7,-0.00575,0.03322,-0.03322,0.00236,-0.00236 + diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/Figure5topologyD.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/Figure5topologyD.csv new file mode 100644 index 0000000000..a24a5f4ff1 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/Figure5topologyD.csv @@ -0,0 +1,34 @@ +#: table_doi: 10.17182/hepdata.114778.v1/t5 +#: name: Figure 5 topology D +#: description: Parton dijet $M_{inv}$ vs $A_{LL}$ values with associated uncertainties, for topology D. +#: data_file: DijetD.yaml +#: keyword observables: ASYM +#: keyword reactions: P P --> JET JET X +Parton Dijet $M_{inv}$ (GeV/$c^{2}$) range,Parton Dijet $M_{inv}$ (GeV/$c^{2}$) range LOW,Parton Dijet $M_{inv}$ (GeV/$c^{2}$) range HIGH,Parton Dijet $M_{inv}$ (GeV/$c^{2}$),syst +,syst - +18.200000000000003,17.05,19.35,18.2,1.15,-1.15 +21.67,20.63,22.71,21.67,1.04,-1.04 +26.119999999999997,25.08,27.16,26.12,1.04,-1.04 +31.419999999999998,30.4,32.44,31.42,1.02,-1.02 +37.33,36.08,38.58,37.33,1.25,-1.25 +44.6,43.09,46.11,44.6,1.51,-1.51 +53.61,51.92,55.3,53.61,1.69,-1.69 +63.38,61.45,65.31,63.38,1.93,-1.93 +75.52000000000001,73.25,77.79,75.52,2.27,-2.27 +89.6,86.9,92.3,89.6,2.7,-2.7 +106.63,103.43,109.83,106.63,3.2,-3.2 +127.17,123.35,130.99,127.17,3.82,-3.82 + +Parton Dijet $M_{inv}$ (GeV/$c^{2}$) range,Parton Dijet $M_{inv}$ (GeV/$c^{2}$) range LOW,Parton Dijet $M_{inv}$ (GeV/$c^{2}$) range HIGH,"Dijet $A_{LL}$, topology D",stat +,stat -,syst +,syst - +18.200000000000003,17.05,19.35,0.01048,0.00466,-0.00466,0.0012,-0.0012 +21.67,20.63,22.71,0.00296,0.00302,-0.00302,0.00055,-0.00055 +26.119999999999997,25.08,27.16,0.00307,0.00235,-0.00235,0.00113,-0.00113 +31.419999999999998,30.4,32.44,-0.00072,0.00229,-0.00229,0.00097,-0.00097 +37.33,36.08,38.58,0.00169,0.00278,-0.00278,0.00086,-0.00086 +44.6,43.09,46.11,0.00501,0.003,-0.003,0.00081,-0.00081 +53.61,51.92,55.3,0.00443,0.00382,-0.00382,0.0008,-0.0008 +63.38,61.45,65.31,0.00887,0.005,-0.005,0.00082,-0.00082 +75.52000000000001,73.25,77.79,0.00985,0.00747,-0.00747,0.00094,-0.00094 +89.6,86.9,92.3,0.00351,0.01095,-0.01095,0.00106,-0.00106 +106.63,103.43,109.83,0.03141,0.01797,-0.01797,0.00123,-0.00123 +127.17,123.35,130.99,0.01114,0.03187,-0.03187,0.00224,-0.00224 + diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/Inclusivejet-DijettopologyAcorrelation.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/Inclusivejet-DijettopologyAcorrelation.csv new file mode 100644 index 0000000000..7b7b2f6b4a --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/Inclusivejet-DijettopologyAcorrelation.csv @@ -0,0 +1,176 @@ +#: table_doi: 10.17182/hepdata.114778.v1/t7 +#: name: Inclusive jet - Dijet topology A correlation +#: description: The correlation matrix for the point-to-point uncertainties (statistical and systematics) for the inclusive jet measurements coupling with the forward-forward dijet measurements (topology A). The relative luminosity and beam polarization uncertainties are not included because they are the same for all points. +#: data_file: IncDijA.yaml +#: keyword reactions: P P --> JET X | P P --> JET JET X +#: keyword observables: CORR +Parton Jet $p_{T}$ (GeV/$c$),Topology A - Parton Dijet $M_{inv}$ (GeV/$c^2$),Correlation Inclusive-DijetA +7.79,15.74,0.021 +7.79,18.5,0.012 +7.79,21.96,0.005 +7.79,26.17,0.002 +7.79,31.63,0.0 +7.79,37.8,0.0 +7.79,44.75,0.0 +7.79,53.31,0.0 +7.79,63.64,0.0 +7.79,75.32,0.0 +7.79,89.66,0.0 +7.79,105.63,0.0 +9.62,15.74,0.008 +9.62,18.5,0.017 +9.62,21.96,0.009 +9.62,26.17,0.005 +9.62,31.63,0.002 +9.62,37.8,0.0 +9.62,44.75,0.0 +9.62,53.31,0.0 +9.62,63.64,0.0 +9.62,75.32,0.0 +9.62,89.66,0.0 +9.62,105.63,0.0 +11.67,15.74,0.001 +11.67,18.5,0.022 +11.67,21.96,0.019 +11.67,26.17,0.014 +11.67,31.63,0.007 +11.67,37.8,0.002 +11.67,44.75,0.0 +11.67,53.31,0.0 +11.67,63.64,0.0 +11.67,75.32,0.0 +11.67,89.66,0.0 +11.67,105.63,0.0 +13.59,15.74,0.0 +13.59,18.5,0.01 +13.59,21.96,0.021 +13.59,26.17,0.02 +13.59,31.63,0.015 +13.59,37.8,0.006 +13.59,44.75,0.002 +13.59,53.31,0.0 +13.59,63.64,0.0 +13.59,75.32,0.0 +13.59,89.66,0.0 +13.59,105.63,0.0 +15.76,15.74,0.0 +15.76,18.5,0.001 +15.76,21.96,0.016 +15.76,26.17,0.02 +15.76,31.63,0.02 +15.76,37.8,0.014 +15.76,44.75,0.006 +15.76,53.31,0.001 +15.76,63.64,0.0 +15.76,75.32,0.0 +15.76,89.66,0.0 +15.76,105.63,0.0 +19.89,15.74,0.0 +19.89,18.5,0.0 +19.89,21.96,0.013 +19.89,26.17,0.033 +19.89,31.63,0.047 +19.89,37.8,0.049 +19.89,44.75,0.041 +19.89,53.31,0.017 +19.89,63.64,0.004 +19.89,75.32,0.0 +19.89,89.66,0.0 +19.89,105.63,0.0 +22.68,15.74,0.0 +22.68,18.5,0.0 +22.68,21.96,0.002 +22.68,26.17,0.023 +22.68,31.63,0.041 +22.68,37.8,0.055 +22.68,44.75,0.066 +22.68,53.31,0.045 +22.68,63.64,0.015 +22.68,75.32,0.002 +22.68,89.66,0.0 +22.68,105.63,0.0 +25.94,15.74,0.0 +25.94,18.5,0.0 +25.94,21.96,0.0 +25.94,26.17,0.01 +25.94,31.63,0.027 +25.94,37.8,0.043 +25.94,44.75,0.071 +25.94,53.31,0.077 +25.94,63.64,0.047 +25.94,75.32,0.012 +25.94,89.66,0.001 +25.94,105.63,0.0 +29.75,15.74,0.0 +29.75,18.5,0.0 +29.75,21.96,0.0 +29.75,26.17,0.002 +29.75,31.63,0.014 +29.75,37.8,0.025 +29.75,44.75,0.051 +29.75,53.31,0.081 +29.75,63.64,0.088 +29.75,75.32,0.043 +29.75,89.66,0.009 +29.75,105.63,0.001 +34.29,15.74,0.0 +34.29,18.5,0.0 +34.29,21.96,0.0 +34.29,26.17,0.0 +34.29,31.63,0.004 +34.29,37.8,0.011 +34.29,44.75,0.026 +34.29,53.31,0.055 +34.29,63.64,0.094 +34.29,75.32,0.09 +34.29,89.66,0.039 +34.29,105.63,0.006 +39.59,15.74,0.0 +39.59,18.5,0.0 +39.59,21.96,0.0 +39.59,26.17,0.0 +39.59,31.63,0.0 +39.59,37.8,0.003 +39.59,44.75,0.011 +39.59,53.31,0.027 +39.59,63.64,0.062 +39.59,75.32,0.101 +39.59,89.66,0.094 +39.59,105.63,0.03 +45.76,15.74,0.0 +45.76,18.5,0.0 +45.76,21.96,0.0 +45.76,26.17,0.0 +45.76,31.63,0.0 +45.76,37.8,0.0 +45.76,44.75,0.003 +45.76,53.31,0.01 +45.76,63.64,0.029 +45.76,75.32,0.066 +45.76,89.66,0.114 +45.76,105.63,0.091 +53.17,15.74,0.0 +53.17,18.5,0.0 +53.17,21.96,0.0 +53.17,26.17,0.0 +53.17,31.63,0.0 +53.17,37.8,0.0 +53.17,44.75,0.0 +53.17,53.31,0.002 +53.17,63.64,0.01 +53.17,75.32,0.028 +53.17,89.66,0.071 +53.17,105.63,0.116 +61.37,15.74,0.0 +61.37,18.5,0.0 +61.37,21.96,0.0 +61.37,26.17,0.0 +61.37,31.63,0.0 +61.37,37.8,0.0 +61.37,44.75,0.0 +61.37,53.31,0.0 +61.37,63.64,0.002 +61.37,75.32,0.009 +61.37,89.66,0.028 +61.37,105.63,0.076 + diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/Inclusivejet-DijettopologyBcorrelation.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/Inclusivejet-DijettopologyBcorrelation.csv new file mode 100644 index 0000000000..6f991bec44 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/Inclusivejet-DijettopologyBcorrelation.csv @@ -0,0 +1,190 @@ +#: table_doi: 10.17182/hepdata.114778.v1/t8 +#: name: Inclusive jet - Dijet topology B correlation +#: description: The correlation matrix for the point-to-point uncertainties (statistical and systematics) for the inclusive jet measurements coupling with the forward-forward dijet measurements (topology B). The relative luminosity and beam polarization uncertainties are not included because they are the same for all points. +#: data_file: IncDijB.yaml +#: keyword reactions: P P --> JET X | P P --> JET JET X +#: keyword observables: CORR +Parton Jet $p_{T}$ (GeV/$c$),Topology B - Parton Dijet $M_{inv}$ (GeV/$c^2$),Correlation Inclusive-DijetB +7.79,15.49,0.026 +7.79,18.48,0.022 +7.79,22.33,0.009 +7.79,26.67,0.004 +7.79,32.16,0.001 +7.79,38.59,0.0 +7.79,45.66,0.0 +7.79,54.49,0.0 +7.79,65.02,0.0 +7.79,77.16,0.0 +7.79,91.33,0.0 +7.79,109.2,0.0 +7.79,129.75,0.0 +9.62,15.49,0.007 +9.62,18.48,0.025 +9.62,22.33,0.015 +9.62,26.67,0.008 +9.62,32.16,0.003 +9.62,38.59,0.001 +9.62,45.66,0.0 +9.62,54.49,0.0 +9.62,65.02,0.0 +9.62,77.16,0.0 +9.62,91.33,0.0 +9.62,109.2,0.0 +9.62,129.75,0.0 +11.67,15.49,0.001 +11.67,18.48,0.025 +11.67,22.33,0.029 +11.67,26.67,0.022 +11.67,32.16,0.013 +11.67,38.59,0.005 +11.67,45.66,0.001 +11.67,54.49,0.0 +11.67,65.02,0.0 +11.67,77.16,0.0 +11.67,91.33,0.0 +11.67,109.2,0.0 +11.67,129.75,0.0 +13.59,15.49,0.0 +13.59,18.48,0.009 +13.59,22.33,0.029 +13.59,26.67,0.029 +13.59,32.16,0.023 +13.59,38.59,0.012 +13.59,45.66,0.004 +13.59,54.49,0.001 +13.59,65.02,0.0 +13.59,77.16,0.0 +13.59,91.33,0.0 +13.59,109.2,0.0 +13.59,129.75,0.0 +15.76,15.49,0.0 +15.76,18.48,0.001 +15.76,22.33,0.017 +15.76,26.67,0.027 +15.76,32.16,0.029 +15.76,38.59,0.022 +15.76,45.66,0.012 +15.76,54.49,0.003 +15.76,65.02,0.0 +15.76,77.16,0.0 +15.76,91.33,0.0 +15.76,109.2,0.0 +15.76,129.75,0.0 +19.89,15.49,0.0 +19.89,18.48,0.0 +19.89,22.33,0.01 +19.89,26.67,0.041 +19.89,32.16,0.061 +19.89,38.59,0.068 +19.89,45.66,0.065 +19.89,54.49,0.033 +19.89,65.02,0.009 +19.89,77.16,0.001 +19.89,91.33,0.0 +19.89,109.2,0.0 +19.89,129.75,0.0 +22.68,15.49,0.0 +22.68,18.48,0.0 +22.68,22.33,0.001 +22.68,26.67,0.025 +22.68,32.16,0.052 +22.68,38.59,0.073 +22.68,45.66,0.095 +22.68,54.49,0.075 +22.68,65.02,0.033 +22.68,77.16,0.007 +22.68,91.33,0.001 +22.68,109.2,0.0 +22.68,129.75,0.0 +25.94,15.49,0.0 +25.94,18.48,0.0 +25.94,22.33,0.0 +25.94,26.67,0.008 +25.94,32.16,0.033 +25.94,38.59,0.055 +25.94,45.66,0.093 +25.94,54.49,0.112 +25.94,65.02,0.082 +25.94,77.16,0.028 +25.94,91.33,0.005 +25.94,109.2,0.0 +25.94,129.75,0.0 +29.75,15.49,0.0 +29.75,18.48,0.0 +29.75,22.33,0.0 +29.75,26.67,0.001 +29.75,32.16,0.015 +29.75,38.59,0.031 +29.75,45.66,0.063 +29.75,54.49,0.105 +29.75,65.02,0.129 +29.75,77.16,0.08 +29.75,91.33,0.025 +29.75,109.2,0.003 +29.75,129.75,0.0 +34.29,15.49,0.0 +34.29,18.48,0.0 +34.29,22.33,0.0 +34.29,26.67,0.0 +34.29,32.16,0.003 +34.29,38.59,0.013 +34.29,45.66,0.033 +34.29,54.49,0.069 +34.29,65.02,0.124 +34.29,77.16,0.136 +34.29,91.33,0.079 +34.29,109.2,0.018 +34.29,129.75,0.001 +39.59,15.49,0.0 +39.59,18.48,0.0 +39.59,22.33,0.0 +39.59,26.67,0.0 +39.59,32.16,0.0 +39.59,38.59,0.003 +39.59,45.66,0.013 +39.59,54.49,0.033 +39.59,65.02,0.079 +39.59,77.16,0.136 +39.59,91.33,0.149 +39.59,109.2,0.069 +39.59,129.75,0.011 +45.76,15.49,0.0 +45.76,18.48,0.0 +45.76,22.33,0.0 +45.76,26.67,0.0 +45.76,32.16,0.0 +45.76,38.59,0.0 +45.76,45.66,0.003 +45.76,54.49,0.012 +45.76,65.02,0.037 +45.76,77.16,0.085 +45.76,91.33,0.156 +45.76,109.2,0.152 +45.76,129.75,0.053 +53.17,15.49,0.0 +53.17,18.48,0.0 +53.17,22.33,0.0 +53.17,26.67,0.0 +53.17,32.16,0.0 +53.17,38.59,0.0 +53.17,45.66,0.0 +53.17,54.49,0.002 +53.17,65.02,0.012 +53.17,77.16,0.038 +53.17,91.33,0.096 +53.17,109.2,0.173 +53.17,129.75,0.144 +61.37,15.49,0.0 +61.37,18.48,0.0 +61.37,22.33,0.0 +61.37,26.67,0.0 +61.37,32.16,0.0 +61.37,38.59,0.0 +61.37,45.66,0.0 +61.37,54.49,0.0 +61.37,65.02,0.002 +61.37,77.16,0.012 +61.37,91.33,0.04 +61.37,109.2,0.11 +61.37,129.75,0.182 + diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/Inclusivejet-DijettopologyCcorrelation.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/Inclusivejet-DijettopologyCcorrelation.csv new file mode 100644 index 0000000000..8483014b7e --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/Inclusivejet-DijettopologyCcorrelation.csv @@ -0,0 +1,176 @@ +#: table_doi: 10.17182/hepdata.114778.v1/t9 +#: name: Inclusive jet - Dijet topology C correlation +#: description: The correlation matrix for the point-to-point uncertainties (statistical and systematics) for the inclusive jet measurements coupling with the forward-forward dijet measurements (topology C). The relative luminosity and beam polarization uncertainties are not included because they are the same for all points. +#: data_file: IncDijC.yaml +#: keyword reactions: P P --> JET X | P P --> JET JET X +#: keyword observables: CORR +Parton Jet $p_{T}$ (GeV/$c$),Topology C - Parton Dijet $M_{inv}$ (GeV/$c^2$),Correlation Inclusive-DijetC +7.79,15.72,0.015 +7.79,18.9,0.009 +7.79,22.24,0.004 +7.79,27.14,0.002 +7.79,33.03,0.0 +7.79,39.35,0.0 +7.79,46.62,0.0 +7.79,55.74,0.0 +7.79,66.39,0.0 +7.79,78.97,0.0 +7.79,94.22,0.0 +7.79,111.48,0.0 +9.62,15.72,0.006 +9.62,18.9,0.012 +9.62,22.24,0.007 +9.62,27.14,0.004 +9.62,33.03,0.001 +9.62,39.35,0.0 +9.62,46.62,0.0 +9.62,55.74,0.0 +9.62,66.39,0.0 +9.62,78.97,0.0 +9.62,94.22,0.0 +9.62,111.48,0.0 +11.67,15.72,0.001 +11.67,18.9,0.015 +11.67,22.24,0.014 +11.67,27.14,0.011 +11.67,33.03,0.006 +11.67,39.35,0.002 +11.67,46.62,0.0 +11.67,55.74,0.0 +11.67,66.39,0.0 +11.67,78.97,0.0 +11.67,94.22,0.0 +11.67,111.48,0.0 +13.59,15.72,0.0 +13.59,18.9,0.007 +13.59,22.24,0.016 +13.59,27.14,0.015 +13.59,33.03,0.012 +13.59,39.35,0.005 +13.59,46.62,0.002 +13.59,55.74,0.0 +13.59,66.39,0.0 +13.59,78.97,0.0 +13.59,94.22,0.0 +13.59,111.48,0.0 +15.76,15.72,0.0 +15.76,18.9,0.001 +15.76,22.24,0.011 +15.76,27.14,0.015 +15.76,33.03,0.016 +15.76,39.35,0.011 +15.76,46.62,0.005 +15.76,55.74,0.001 +15.76,66.39,0.0 +15.76,78.97,0.0 +15.76,94.22,0.0 +15.76,111.48,0.0 +19.89,15.72,0.0 +19.89,18.9,0.0 +19.89,22.24,0.008 +19.89,27.14,0.023 +19.89,33.03,0.033 +19.89,39.35,0.035 +19.89,46.62,0.03 +19.89,55.74,0.013 +19.89,66.39,0.003 +19.89,78.97,0.0 +19.89,94.22,0.0 +19.89,111.48,0.0 +22.68,15.72,0.0 +22.68,18.9,0.0 +22.68,22.24,0.001 +22.68,27.14,0.016 +22.68,33.03,0.03 +22.68,39.35,0.041 +22.68,46.62,0.051 +22.68,55.74,0.034 +22.68,66.39,0.013 +22.68,78.97,0.002 +22.68,94.22,0.0 +22.68,111.48,0.0 +25.94,15.72,0.0 +25.94,18.9,0.0 +25.94,22.24,0.0 +25.94,27.14,0.007 +25.94,33.03,0.02 +25.94,39.35,0.033 +25.94,46.62,0.054 +25.94,55.74,0.059 +25.94,66.39,0.036 +25.94,78.97,0.011 +25.94,94.22,0.002 +25.94,111.48,0.0 +29.75,15.72,0.0 +29.75,18.9,0.0 +29.75,22.24,0.0 +29.75,27.14,0.001 +29.75,33.03,0.009 +29.75,39.35,0.018 +29.75,46.62,0.038 +29.75,55.74,0.061 +29.75,66.39,0.067 +29.75,78.97,0.034 +29.75,94.22,0.009 +29.75,111.48,0.001 +34.29,15.72,0.0 +34.29,18.9,0.0 +34.29,22.24,0.0 +34.29,27.14,0.0 +34.29,33.03,0.003 +34.29,39.35,0.008 +34.29,46.62,0.02 +34.29,55.74,0.042 +34.29,66.39,0.072 +34.29,78.97,0.07 +34.29,94.22,0.033 +34.29,111.48,0.006 +39.59,15.72,0.0 +39.59,18.9,0.0 +39.59,22.24,0.0 +39.59,27.14,0.0 +39.59,33.03,0.0 +39.59,39.35,0.002 +39.59,46.62,0.008 +39.59,55.74,0.021 +39.59,66.39,0.049 +39.59,78.97,0.079 +39.59,94.22,0.075 +39.59,111.48,0.027 +45.76,15.72,0.0 +45.76,18.9,0.0 +45.76,22.24,0.0 +45.76,27.14,0.0 +45.76,33.03,0.0 +45.76,39.35,0.0 +45.76,46.62,0.002 +45.76,55.74,0.008 +45.76,66.39,0.024 +45.76,78.97,0.054 +45.76,94.22,0.09 +45.76,111.48,0.074 +53.17,15.72,0.0 +53.17,18.9,0.0 +53.17,22.24,0.0 +53.17,27.14,0.0 +53.17,33.03,0.0 +53.17,39.35,0.0 +53.17,46.62,0.0 +53.17,55.74,0.002 +53.17,66.39,0.009 +53.17,78.97,0.025 +53.17,94.22,0.062 +53.17,111.48,0.097 +61.37,15.72,0.0 +61.37,18.9,0.0 +61.37,22.24,0.0 +61.37,27.14,0.0 +61.37,33.03,0.0 +61.37,39.35,0.0 +61.37,46.62,0.0 +61.37,55.74,0.0 +61.37,66.39,0.002 +61.37,78.97,0.008 +61.37,94.22,0.028 +61.37,111.48,0.073 + diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/Inclusivejet-DijettopologyDcorrelation.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/Inclusivejet-DijettopologyDcorrelation.csv new file mode 100644 index 0000000000..32ff709efc --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/Inclusivejet-DijettopologyDcorrelation.csv @@ -0,0 +1,176 @@ +#: table_doi: 10.17182/hepdata.114778.v1/t10 +#: name: Inclusive jet - Dijet topology D correlation +#: description: The correlation matrix for the point-to-point uncertainties (statistical and systematics) for the inclusive jet measurements coupling with the forward-forward dijet measurements (topology D). The relative luminosity and beam polarization uncertainties are not included because they are the same for all points. +#: data_file: IncDijD.yaml +#: keyword reactions: P P --> JET X | P P --> JET JET X +#: keyword observables: CORR +Parton Jet $p_{T}$ (GeV/$c$),Topology D - Parton Dijet $M_{inv}$ (GeV/$c^2$),Correlation Inclusive-DijetD +7.79,18.2,0.019 +7.79,21.67,0.01 +7.79,26.12,0.004 +7.79,31.42,0.002 +7.79,37.33,0.0 +7.79,44.6,0.0 +7.79,53.61,0.0 +7.79,63.38,0.0 +7.79,75.52,0.0 +7.79,89.6,0.0 +7.79,106.63,0.0 +7.79,127.17,0.0 +9.62,18.2,0.013 +9.62,21.67,0.014 +9.62,26.12,0.008 +9.62,31.42,0.004 +9.62,37.33,0.001 +9.62,44.6,0.0 +9.62,53.61,0.0 +9.62,63.38,0.0 +9.62,75.52,0.0 +9.62,89.6,0.0 +9.62,106.63,0.0 +9.62,127.17,0.0 +11.67,18.2,0.006 +11.67,21.67,0.021 +11.67,26.12,0.017 +11.67,31.42,0.012 +11.67,37.33,0.006 +11.67,44.6,0.002 +11.67,53.61,0.0 +11.67,63.38,0.0 +11.67,75.52,0.0 +11.67,89.6,0.0 +11.67,106.63,0.0 +11.67,127.17,0.0 +13.59,18.2,0.001 +13.59,21.67,0.013 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+53.17,37.33,0.0 +53.17,44.6,0.0 +53.17,53.61,0.0 +53.17,63.38,0.004 +53.17,75.52,0.013 +53.17,89.6,0.038 +53.17,106.63,0.088 +53.17,127.17,0.114 +61.37,18.2,0.0 +61.37,21.67,0.0 +61.37,26.12,0.0 +61.37,31.42,0.0 +61.37,37.33,0.0 +61.37,44.6,0.0 +61.37,53.61,0.0 +61.37,63.38,0.0 +61.37,75.52,0.003 +61.37,89.6,0.013 +61.37,106.63,0.04 +61.37,127.17,0.096 + diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/Inclusivejet-Inclusivejetcorrelation.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/Inclusivejet-Inclusivejetcorrelation.csv new file mode 100644 index 0000000000..d86b9d37d2 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/rawdata/Inclusivejet-Inclusivejetcorrelation.csv @@ -0,0 +1,113 @@ +#: table_doi: 10.17182/hepdata.114778.v1/t6 +#: name: Inclusive jet - Inclusive jet correlation +#: description: The correlation matrix for the point-to-point uncertainties (statistical and systematics) for the inclusive jet measurements.The relative luminosity and beam polarization uncertainties are not included because they are the same for all points. +#: data_file: IncInc.yaml +#: keyword reactions: P P --> JET X +#: keyword observables: CORR +Parton Jet $p_{T}$ (GeV/$c$),Parton Jet $p_{T}$ (GeV/$c$),Correlation Inclusive-Inclusive jet +7.79,7.79,1.0 +7.79,9.62,0.007 +7.79,11.67,0.004 +7.79,13.59,0.004 +7.79,15.76,0.003 +7.79,19.89,0.001 +7.79,22.68,0.001 +7.79,25.94,0.0 +7.79,29.75,0.0 +7.79,34.29,0.0 +7.79,39.59,0.0 +7.79,45.76,0.0 +7.79,53.17,0.0 +7.79,61.37,0.0 +9.62,9.62,1.0 +9.62,11.67,0.005 +9.62,13.59,0.005 +9.62,15.76,0.005 +9.62,19.89,0.002 +9.62,22.68,0.001 +9.62,25.94,0.001 +9.62,29.75,0.0 +9.62,34.29,0.0 +9.62,39.59,0.0 +9.62,45.76,0.0 +9.62,53.17,0.0 +9.62,61.37,0.0 +11.67,11.67,1.0 +11.67,13.59,0.008 +11.67,15.76,0.009 +11.67,19.89,0.004 +11.67,22.68,0.002 +11.67,25.94,0.002 +11.67,29.75,0.001 +11.67,34.29,0.001 +11.67,39.59,0.0 +11.67,45.76,0.0 +11.67,53.17,0.0 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systematics uncertainty + treatment: ADD + type: CORR + sys_4: + description: 4 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: CORR + sys_5: + description: 5 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: CORR + sys_6: + description: 6 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: CORR + sys_7: + description: 7 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: CORR + sys_8: + description: 8 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: CORR + sys_9: + description: 9 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: CORR + sys_10: + description: 10 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: CORR + sys_11: + description: 11 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: CORR + sys_12: + description: 12 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: CORR + sys_13: + description: 13 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: CORR +bins: +- sys_0: -1.0951625464162565e-09 + sys_1: 1.1516691091869679e-08 + sys_2: -7.854773848580345e-08 + sys_3: 6.866154309094594e-07 + sys_4: 2.164283413432904e-05 + sys_5: -0.000620696156135884 + sys_6: 0.0024031769111292163 + sys_7: 1.5218755279690372e-05 + sys_8: -1.7780887091095855e-05 + sys_9: -6.419814679578488e-05 + sys_10: -2.0149056225408066e-06 + sys_11: 2.086134837183203e-05 + sys_12: -3.067777040199403e-05 + sys_13: -2.2721684612739994e-05 + stat: 0 +- sys_0: -1.7477653367624728e-09 + sys_1: 1.681965030873789e-08 + sys_2: -1.134653307823307e-07 + sys_3: 1.0671058187857347e-06 + sys_4: 3.362733369615975e-05 + sys_5: -0.002476570972603001 + sys_6: -0.0006066860957810047 + sys_7: 1.2628824308356746e-05 + sys_8: -2.1444694110942473e-05 + sys_9: 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b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_A_510GEV/metadata.yaml @@ -0,0 +1,39 @@ +setname: "STAR_2013_2JET_A_510GEV" + +nnpdf_metadata: + experiment: "STAR" + nnpdf31_process: "DIJET" + +iNSPIRE: + url: "https://inspirehep.net/literature/1949588" +hepdata: + url: "https://www.hepdata.net/record/ins1949588" + version: 1 + +version: 1 +version_comment: "Initial implementation" + +implemented_observables: + - observable: { description: "ALL as function of $M_{inv}$, topology A", label: "$A_{LL}$", units: "" } + observable_name: ALL + process_type: DIJET_POL + ndata: 12 + tables: [5] + kinematics: + variables: + m_jj: {description: "dijet mass", label: "$m_{jj}$", units: "GeV"} + sqrts: {"center of mass energy", label: r"$\sqrt(s)$", units: "GeV"} + file: kinematics.yaml + kinematic_coverage: [m_jj, sqrts] + data_central: data.yaml + data_uncertainties: + - uncertainties.yaml + plotting: + dataset_label: "STAR 510 TeV (2013) DIJET $A_{LL}$" + kinematics_override: identity + plot_x: m_jj + x_scale: log + y_label: "$A_{LL}$" + theory: + FK_tables: + - - STAR_2013_2JJET_A_510GEV_ALL diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_A_510GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_A_510GEV/uncertainties.yaml new file mode 100644 index 0000000000..abaa88e526 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_A_510GEV/uncertainties.yaml @@ -0,0 +1,210 @@ +definitions: + sys_0: + description: 0 artificial correlated systematics uncertainty + treatment: ADD + type: CORR + sys_1: + description: 1 artificial correlated systematics uncertainty + treatment: ADD + type: CORR + sys_2: + description: 2 artificial correlated systematics uncertainty + treatment: ADD + type: CORR + sys_3: + description: 3 artificial correlated systematics uncertainty + treatment: ADD + type: CORR + sys_4: + description: 4 artificial correlated systematics uncertainty + treatment: ADD + type: CORR + sys_5: + description: 5 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--- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_B_510GEV/metadata.yaml @@ -0,0 +1,39 @@ +setname: "STAR_2013_2JET_B_510GEV" + +nnpdf_metadata: + experiment: "STAR" + nnpdf31_process: "DIJET" + +iNSPIRE: + url: "https://inspirehep.net/literature/1949588" +hepdata: + url: "https://www.hepdata.net/record/ins1949588" + version: 1 + +version: 1 +version_comment: "Initial implementation" + +implemented_observables: + - observable: { description: "ALL as function of $M_{inv}$, topology B", label: "$A_{LL}$", units: "" } + observable_name: ALL + process_type: DIJET_POL + ndata: 13 + tables: [5] + kinematics: + variables: + m_jj: {description: "dijet mass", label: "$m_{jj}$", units: "GeV"} + sqrts: {"center of mass energy", label: r"$\sqrt(s)$", units: "GeV"} + file: kinematics.yaml + kinematic_coverage: [m_jj, sqrts] + data_central: data.yaml + data_uncertainties: + - uncertainties.yaml + plotting: + dataset_label: "STAR 510 TeV (2013) DIJET $A_{LL}$" + kinematics_override: identity + plot_x: m_jj + x_scale: log + y_label: "$A_{LL}$" + theory: + FK_tables: + - - STAR_2013_2JJET_B_510GEV_ALL diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_B_510GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_B_510GEV/uncertainties.yaml new file mode 100644 index 0000000000..51030020ba --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_B_510GEV/uncertainties.yaml @@ -0,0 +1,240 @@ +definitions: + sys_0: + description: 0 artificial correlated systematics uncertainty + treatment: ADD + type: CORR + sys_1: + description: 1 artificial correlated systematics uncertainty + treatment: ADD + type: CORR + sys_2: + description: 2 artificial correlated systematics uncertainty + treatment: ADD + type: CORR + sys_3: + description: 3 artificial correlated systematics uncertainty + treatment: ADD + type: CORR + sys_4: + description: 4 artificial correlated systematics uncertainty + treatment: ADD + 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null +- mjj: + max: 48.16 + mid: 46.62 + min: 45.08 + sqrts: + max: null + mid: 510.0 + min: null +- mjj: + max: 57.45 + mid: 55.74 + min: 54.03 + sqrts: + max: null + mid: 510.0 + min: null +- mjj: + max: 68.32000000000001 + mid: 66.39 + min: 64.46 + sqrts: + max: null + mid: 510.0 + min: null +- mjj: + max: 81.23 + mid: 78.97 + min: 76.71 + sqrts: + max: null + mid: 510.0 + min: null +- mjj: + max: 97.07 + mid: 94.22 + min: 91.37 + sqrts: + max: null + mid: 510.0 + min: null +- mjj: + max: 114.7 + mid: 111.48 + min: 108.26 + sqrts: + max: null + mid: 510.0 + min: null diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_C_510GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_C_510GEV/metadata.yaml new file mode 100644 index 0000000000..1e828f32ab --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_C_510GEV/metadata.yaml @@ -0,0 +1,39 @@ +setname: "STAR_2013_2JET_C_510GEV" + +nnpdf_metadata: + experiment: "STAR" + nnpdf31_process: "DIJET" + +iNSPIRE: + url: "https://inspirehep.net/literature/1949588" +hepdata: + url: "https://www.hepdata.net/record/ins1949588" + version: 1 + +version: 1 +version_comment: "Initial implementation" + +implemented_observables: + - observable: { description: "ALL as function of $M_{inv}$, topology C", label: "$A_{LL}$", units: "" } + observable_name: ALL + process_type: DIJET_POL + ndata: 12 + tables: [5] + kinematics: + variables: + m_jj: {description: "dijet mass", label: "$m_{jj}$", units: "GeV"} + sqrts: {"center of mass energy", label: r"$\sqrt(s)$", units: "GeV"} + file: kinematics.yaml + kinematic_coverage: [m_jj, sqrts] + data_central: data.yaml + data_uncertainties: + - uncertainties.yaml + plotting: + dataset_label: "STAR 510 TeV (2013) DIJET $A_{LL}$" + kinematics_override: identity + plot_x: m_jj + x_scale: log + y_label: "$A_{LL}$" + theory: + FK_tables: + - - STAR_2013_2JJET_C_510GEV_ALL diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_C_510GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_C_510GEV/uncertainties.yaml new file mode 100644 index 0000000000..7a887c47a3 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_C_510GEV/uncertainties.yaml @@ -0,0 +1,210 @@ +definitions: + sys_0: + description: 0 artificial correlated systematics uncertainty + treatment: ADD + type: CORR + sys_1: + description: 1 artificial correlated systematics uncertainty + treatment: ADD + type: CORR + sys_2: + description: 2 artificial correlated systematics uncertainty + treatment: ADD + type: CORR + sys_3: + description: 3 artificial correlated systematics uncertainty + treatment: ADD + type: CORR + sys_4: + description: 4 artificial correlated systematics uncertainty + treatment: ADD + type: CORR + sys_5: + description: 5 artificial correlated systematics uncertainty + treatment: ADD + type: CORR + sys_6: + description: 6 artificial correlated systematics uncertainty + treatment: ADD + type: CORR + sys_7: + description: 7 artificial correlated systematics uncertainty + treatment: ADD + type: CORR + sys_8: + description: 8 artificial correlated systematics uncertainty + treatment: ADD + type: CORR + sys_9: + description: 9 artificial correlated systematics uncertainty + treatment: ADD + type: CORR + sys_10: + description: 10 artificial correlated systematics uncertainty + treatment: ADD + type: CORR + sys_11: + description: 11 artificial correlated systematics uncertainty + treatment: ADD + type: CORR + stat: + description: statistical uncertainty + treatment: ADD + type: UNCORR +bins: +- sys_0: 3.9309507861888136e-05 + sys_1: 0.00036333998397519696 + sys_2: 2.3186570417783925e-05 + sys_3: 5.556881029025214e-06 + sys_4: 2.311859688314046e-05 + sys_5: 6.918856751372635e-06 + sys_6: -3.475850160770912e-06 + sys_7: -8.161015217013543e-07 + sys_8: 1.4810303438451368e-06 + sys_9: -1.1917087394724004e-05 + sys_10: 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4.20372228212075e-07 + sys_10: -1.2109789544176688e-06 + sys_11: 1.4199038245942606e-06 + stat: 0.01964 +- sys_0: -6.4021605860023e-07 + sys_1: -3.4929060031472936e-07 + sys_2: -2.1175490331606037e-06 + sys_3: 1.0199189629631558e-06 + sys_4: 1.562290856564072e-06 + sys_5: 2.740729621384654e-07 + sys_6: -2.907160471761827e-07 + sys_7: -7.005381187136291e-07 + sys_8: 2.075654509591278e-06 + sys_9: -1.0707394560948261e-06 + sys_10: -7.196059070035401e-07 + sys_11: 6.599902358889499e-07 + stat: 0.03322 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_D_510GEV/data.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_D_510GEV/data.yaml new file mode 100644 index 0000000000..6c7101a8a8 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_D_510GEV/data.yaml @@ -0,0 +1,13 @@ +data_central: +- 0.01048 +- 0.00296 +- 0.00307 +- -0.00072 +- 0.00169 +- 0.00501 +- 0.00443 +- 0.00887 +- 0.00985 +- 0.00351 +- 0.03141 +- 0.01114 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_D_510GEV/kinematics.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_D_510GEV/kinematics.yaml new file mode 100644 index 0000000000..b9a9c8476d --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_D_510GEV/kinematics.yaml @@ -0,0 +1,97 @@ +bins: +- mjj: + max: 19.349999999999998 + mid: 18.2 + min: 17.05 + sqrts: + max: null + mid: 510.0 + min: null +- mjj: + max: 22.71 + mid: 21.67 + min: 20.630000000000003 + sqrts: + max: null + mid: 510.0 + min: null +- mjj: + max: 27.16 + mid: 26.12 + min: 25.080000000000002 + sqrts: + max: null + mid: 510.0 + min: null +- mjj: + max: 32.440000000000005 + mid: 31.42 + min: 30.400000000000002 + sqrts: + max: null + mid: 510.0 + min: null +- mjj: + max: 38.58 + mid: 37.33 + min: 36.08 + sqrts: + max: null + mid: 510.0 + min: null +- mjj: + max: 46.11 + mid: 44.6 + min: 43.09 + sqrts: + max: null + mid: 510.0 + min: null +- mjj: + max: 55.3 + mid: 53.61 + min: 51.92 + sqrts: + max: null + mid: 510.0 + min: null +- mjj: + max: 65.31 + mid: 63.38 + min: 61.45 + sqrts: + max: null + mid: 510.0 + min: null +- mjj: + max: 77.78999999999999 + mid: 75.52 + min: 73.25 + sqrts: + max: null + mid: 510.0 + min: null +- mjj: + max: 92.3 + mid: 89.6 + min: 86.89999999999999 + sqrts: + max: null + mid: 510.0 + min: null +- mjj: + max: 109.83 + mid: 106.63 + min: 103.42999999999999 + sqrts: + max: null + mid: 510.0 + min: null +- mjj: + max: 130.99 + mid: 127.17 + min: 123.35000000000001 + sqrts: + max: null + mid: 510.0 + min: null diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_D_510GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_D_510GEV/metadata.yaml new file mode 100644 index 0000000000..0ac491a3e6 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_D_510GEV/metadata.yaml @@ -0,0 +1,39 @@ +setname: "STAR_2013_2JET_D_510GEV" + +nnpdf_metadata: + experiment: "STAR" + nnpdf31_process: "DIJET" + +iNSPIRE: + url: "https://inspirehep.net/literature/1949588" +hepdata: + url: "https://www.hepdata.net/record/ins1949588" + version: 1 + +version: 1 +version_comment: "Initial implementation" + +implemented_observables: + - observable: { description: "ALL as function of $M_{inv}$, topology D", label: "$A_{LL}$", units: "" } + observable_name: ALL + process_type: DIJET_POL + ndata: 12 + tables: [5] + kinematics: + variables: + m_jj: {description: "dijet mass", label: "$m_{jj}$", units: "GeV"} + sqrts: {"center of mass energy", label: r"$\sqrt(s)$", units: "GeV"} + file: kinematics.yaml + kinematic_coverage: [m_jj, sqrts] + data_central: data.yaml + data_uncertainties: + - uncertainties.yaml + plotting: + dataset_label: "STAR 510 TeV (2013) DIJET $A_{LL}$" + kinematics_override: identity + plot_x: m_jj + x_scale: log + y_label: "$A_{LL}$" + theory: + FK_tables: + - - STAR_2013_2JJET_D_510GEV_ALL diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_D_510GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_D_510GEV/uncertainties.yaml new file mode 100644 index 0000000000..ed1963c210 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_D_510GEV/uncertainties.yaml @@ -0,0 +1,210 @@ +definitions: + sys_0: + description: 0 artificial correlated systematics uncertainty + treatment: ADD + type: CORR + sys_1: + description: 1 artificial correlated systematics uncertainty + treatment: ADD + type: CORR + sys_2: + description: 2 artificial correlated systematics uncertainty + treatment: ADD + type: CORR + sys_3: + description: 3 artificial correlated systematics uncertainty + treatment: ADD + type: CORR + sys_4: + description: 4 artificial correlated systematics uncertainty + treatment: ADD + type: CORR + sys_5: + description: 5 artificial correlated systematics uncertainty + treatment: ADD + type: CORR + sys_6: + description: 6 artificial correlated systematics uncertainty + treatment: ADD + type: CORR + sys_7: + description: 7 artificial correlated systematics uncertainty + treatment: ADD + type: CORR + sys_8: + description: 8 artificial correlated systematics uncertainty + treatment: ADD + type: CORR + sys_9: + description: 9 artificial correlated systematics uncertainty + treatment: ADD + type: CORR + sys_10: + description: 10 artificial correlated systematics uncertainty + treatment: ADD + type: CORR + sys_11: + description: 11 artificial correlated systematics uncertainty + treatment: ADD + type: CORR + stat: + description: statistical uncertainty + treatment: ADD + type: UNCORR +bins: +- sys_0: -8.43519900277388e-07 + sys_1: -2.8903062169093345e-06 + sys_2: -1.5652343086514804e-06 + sys_3: -2.8882672445145354e-06 + sys_4: -1.9444777669882674e-06 + sys_5: 2.5290382619603253e-06 + sys_6: 7.1122527893593345e-06 + sys_7: -3.460310965307252e-06 + sys_8: 9.384861853760815e-06 + sys_9: 7.214192887288997e-06 + sys_10: 3.5834180743311576e-05 + sys_11: 2.256673391931869e-05 + stat: 0.00466 +- 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0.003 +- sys_0: 4.516798871302951e-06 + sys_1: 6.730369762680619e-07 + sys_2: 4.900961389730739e-07 + sys_3: 1.108955642708728e-05 + sys_4: -2.417955636714097e-06 + sys_5: 1.8351726000717505e-05 + sys_6: -5.972188946707324e-06 + sys_7: -9.21203710311868e-06 + sys_8: 3.4078503655638985e-06 + sys_9: -1.324697919385448e-05 + sys_10: -2.7190391494755554e-06 + sys_11: 3.82328544943926e-06 + stat: 0.00382 +- sys_0: 4.283774404043299e-06 + sys_1: -6.400228369462858e-07 + sys_2: -8.336356401886303e-07 + sys_3: 1.1274719235506756e-05 + sys_4: -2.6958094260136256e-06 + sys_5: 2.010921770794475e-05 + sys_6: -8.587121271521463e-06 + sys_7: -8.142133301379008e-06 + sys_8: 3.3807214841581733e-06 + sys_9: -1.3440850793070515e-05 + sys_10: -2.9591535141716864e-07 + sys_11: 4.232223740746207e-06 + stat: 0.005 +- sys_0: 2.040796442748057e-06 + sys_1: -1.1521173792384669e-06 + sys_2: -7.123496712193556e-07 + sys_3: 7.084144009488653e-06 + sys_4: -1.4586385929798076e-06 + sys_5: 1.3543085214218745e-05 + sys_6: -7.24828462105499e-06 + sys_7: -4.0673667087698235e-06 + sys_8: 2.2927473173135823e-06 + sys_9: -9.035461187397544e-06 + sys_10: 9.464135023813589e-07 + sys_11: 2.745686104005418e-06 + stat: 0.00747 +- sys_0: 9.173853618403658e-07 + sys_1: -1.2452827116574767e-06 + sys_2: -7.242112663499281e-07 + sys_3: 4.6794989744842264e-06 + sys_4: -5.551965659656485e-07 + sys_5: 8.839233308945949e-06 + sys_6: -5.9873961067219504e-06 + sys_7: -1.7943051368968727e-06 + sys_8: 9.732764612765583e-07 + sys_9: -5.727337539772073e-06 + sys_10: 1.4802554909674975e-06 + sys_11: 1.6739227300186697e-06 + stat: 0.01095 +- sys_0: 1.0719748599030783e-07 + sys_1: -1.267609718425314e-06 + sys_2: -3.604984702218042e-07 + sys_3: 2.3373367638764382e-06 + sys_4: 9.602105083277494e-08 + sys_5: 4.423870404583834e-06 + sys_6: -3.6607331785779715e-06 + sys_7: -5.776787994918907e-07 + sys_8: 2.4684217126532586e-07 + sys_9: -2.6376233368334807e-06 + sys_10: 1.0036304622431668e-06 + sys_11: 4.692690203894524e-07 + stat: 0.01797 +- sys_0: -1.3430015023569493e-07 + sys_1: -6.201118847936362e-07 + sys_2: -1.4876584314772848e-07 + sys_3: 6.587521288100003e-07 + sys_4: 1.2696667856314305e-07 + sys_5: 9.079687107449232e-07 + sys_6: -8.653149770338326e-07 + sys_7: -6.9656619477665965e-09 + sys_8: -4.274278312132293e-08 + sys_9: -5.857686756491707e-07 + sys_10: 4.5906629936432784e-07 + sys_11: 1.7755985099104273e-07 + stat: 0.03187 From 9c7654893e263e3d77f1e69fad5426259c5365a2 Mon Sep 17 00:00:00 2001 From: giacomomagni Date: Mon, 22 Apr 2024 19:02:16 +0200 Subject: [PATCH 09/70] move symm error to utils --- .../filter_utils/star_2013_510gev.py | 1 + .../nnpdf_data/filter_utils/uncertainties.py | 27 + .../ATLAS_1JET_13TEV_DIF/filter.py | 2 +- .../ATLAS_2JET_13TEV_DIF/filter.py | 2 +- .../ATLAS_TTBAR_13TEV_HADR_DIF/utils.py | 26 - .../ATLAS_TTBAR_13TEV_LJ_DIF/filter.py | 2 +- .../ATLAS_TTBAR_8TEV_LJ_DIF/filter.py | 2 +- .../CMS_TTBAR_8TEV_2L_DIF/filter.py | 2 +- .../H1_1JET_319GEV_290PB-1_DIF/filter.py | 2 +- .../H1_2JET_319GEV_290PB-1_DIF/filter.py | 2 +- .../HERMES_NC_7GEV_ED/filter.py | 7 +- .../HERMES_NC_7GEV_EP/filter.py | 84 +- .../STAR_2012_1JET_200GEV/filter.py | 4 +- .../STAR_2015_1JET_200GEV/filter.py | 8 +- .../STAR_2015_1JET_200GEV/uncertainties.yaml | 962 +++++++++--------- .../ZEUS_1JET_300GEV_38P6PB-1_DIF/filter.py | 2 +- .../ZEUS_1JET_319GEV_82PB-1_DIF/filter.py | 2 +- .../ZEUS_2JET_319GEV_374PB-1_DIF/filter.py | 2 +- 18 files changed, 527 insertions(+), 612 deletions(-) create mode 100644 nnpdf_data/nnpdf_data/filter_utils/uncertainties.py diff --git a/nnpdf_data/nnpdf_data/filter_utils/star_2013_510gev.py b/nnpdf_data/nnpdf_data/filter_utils/star_2013_510gev.py index f545e7e45f..6136b00de4 100644 --- a/nnpdf_data/nnpdf_data/filter_utils/star_2013_510gev.py +++ b/nnpdf_data/nnpdf_data/filter_utils/star_2013_510gev.py @@ -254,6 +254,7 @@ def write_2jet_data(df, topology, art_sys, ndata): correlated_unc.extend(dfs[a]["syst"].values) ndata_points = np.sum((*ndata_dict.values(),)) # decompose uncertainties + # TODO: how come this is not yet block diagonal?? art_sys = np.array(compute_covmat(correlation_df, correlated_unc, ndata_points)) # write data diff --git a/nnpdf_data/nnpdf_data/filter_utils/uncertainties.py b/nnpdf_data/nnpdf_data/filter_utils/uncertainties.py new file mode 100644 index 0000000000..8d2a923dd8 --- /dev/null +++ b/nnpdf_data/nnpdf_data/filter_utils/uncertainties.py @@ -0,0 +1,27 @@ + +import numpy as np + +def symmetrize_errors(delta_plus, delta_minus): + r"""Compute the symmetrized uncertainty and the shift in data point. + + Parameters + ---------- + delta_plus : float + The top/plus uncertainty with sign + delta_minus : float + The bottom/minus uncertainty with sign + + Returns + ------- + se_delta : float + The value to be added to the data point + se_sigma : float + The symmetrized uncertainty to be used in commondata + + """ + semi_diff = (delta_plus + delta_minus) / 2 + average = (delta_plus - delta_minus) / 2 + se_delta = semi_diff + se_sigma = np.sqrt(average * average + 2 * semi_diff * semi_diff) + return se_delta, se_sigma + diff --git a/nnpdf_data/nnpdf_data/new_commondata/ATLAS_1JET_13TEV_DIF/filter.py b/nnpdf_data/nnpdf_data/new_commondata/ATLAS_1JET_13TEV_DIF/filter.py index ff222f5fea..b3442e89bd 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/ATLAS_1JET_13TEV_DIF/filter.py +++ b/nnpdf_data/nnpdf_data/new_commondata/ATLAS_1JET_13TEV_DIF/filter.py @@ -1,6 +1,6 @@ import yaml -from nnpdf_data.new_commondata.ATLAS_TTBAR_13TEV_HADR_DIF.utils import symmetrize_errors as se +from nnpdf_data.filter_utils.uncertainties import symmetrize_errors as se def processData(): diff --git a/nnpdf_data/nnpdf_data/new_commondata/ATLAS_2JET_13TEV_DIF/filter.py b/nnpdf_data/nnpdf_data/new_commondata/ATLAS_2JET_13TEV_DIF/filter.py index 0655765b51..47dee7baba 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/ATLAS_2JET_13TEV_DIF/filter.py +++ b/nnpdf_data/nnpdf_data/new_commondata/ATLAS_2JET_13TEV_DIF/filter.py @@ -1,6 +1,6 @@ import yaml -from nnpdf_data.new_commondata.ATLAS_TTBAR_13TEV_HADR_DIF.utils import symmetrize_errors as se +from nnpdf_data.filter_utils.uncertainties import symmetrize_errors as se def processData(): diff --git a/nnpdf_data/nnpdf_data/new_commondata/ATLAS_TTBAR_13TEV_HADR_DIF/utils.py b/nnpdf_data/nnpdf_data/new_commondata/ATLAS_TTBAR_13TEV_HADR_DIF/utils.py index dac59de537..756b13f18c 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/ATLAS_TTBAR_13TEV_HADR_DIF/utils.py +++ b/nnpdf_data/nnpdf_data/new_commondata/ATLAS_TTBAR_13TEV_HADR_DIF/utils.py @@ -19,32 +19,6 @@ import numpy as np from numpy.linalg import eig - -def symmetrize_errors(delta_plus, delta_minus): - r"""Compute the symmterized uncertainty and the shift in data point. - - Parameters - ---------- - delta_plus : float - The top/plus uncertainty with sign - delta_minus : float - The bottom/minus uncertainty with sign - - Returns - ------- - se_delta : float - The value to be added to the data point - se_sigma : float - The symmetrized uncertainty to be used in commondata - - """ - semi_diff = (delta_plus + delta_minus) / 2 - average = (delta_plus - delta_minus) / 2 - se_delta = semi_diff - se_sigma = sqrt(average * average + 2 * semi_diff * semi_diff) - return se_delta, se_sigma - - def percentage_to_absolute(percentage, value): r"""Compute the absolute value of uncertainty from percentage. diff --git a/nnpdf_data/nnpdf_data/new_commondata/ATLAS_TTBAR_13TEV_LJ_DIF/filter.py b/nnpdf_data/nnpdf_data/new_commondata/ATLAS_TTBAR_13TEV_LJ_DIF/filter.py index 37b78e0988..6798d7ae1b 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/ATLAS_TTBAR_13TEV_LJ_DIF/filter.py +++ b/nnpdf_data/nnpdf_data/new_commondata/ATLAS_TTBAR_13TEV_LJ_DIF/filter.py @@ -2,7 +2,7 @@ from nnpdf_data.new_commondata.ATLAS_TTBAR_13TEV_HADR_DIF.utils import covmat_to_artunc as cta from nnpdf_data.new_commondata.ATLAS_TTBAR_13TEV_HADR_DIF.utils import percentage_to_absolute as pta -from nnpdf_data.new_commondata.ATLAS_TTBAR_13TEV_HADR_DIF.utils import symmetrize_errors as se +from nnpdf_data.filter_utils.uncertainties import symmetrize_errors as se def processData(): diff --git a/nnpdf_data/nnpdf_data/new_commondata/ATLAS_TTBAR_8TEV_LJ_DIF/filter.py b/nnpdf_data/nnpdf_data/new_commondata/ATLAS_TTBAR_8TEV_LJ_DIF/filter.py index b114623b64..85063e274e 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/ATLAS_TTBAR_8TEV_LJ_DIF/filter.py +++ b/nnpdf_data/nnpdf_data/new_commondata/ATLAS_TTBAR_8TEV_LJ_DIF/filter.py @@ -5,7 +5,7 @@ import yaml from nnpdf_data.new_commondata.ATLAS_TTBAR_13TEV_HADR_DIF.utils import percentage_to_absolute as pta -from nnpdf_data.new_commondata.ATLAS_TTBAR_13TEV_HADR_DIF.utils import symmetrize_errors as se +from nnpdf_data.filter_utils.uncertainties import symmetrize_errors as se def processData(): diff --git a/nnpdf_data/nnpdf_data/new_commondata/CMS_TTBAR_8TEV_2L_DIF/filter.py b/nnpdf_data/nnpdf_data/new_commondata/CMS_TTBAR_8TEV_2L_DIF/filter.py index 0cd577753c..5e8c5db0bb 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/CMS_TTBAR_8TEV_2L_DIF/filter.py +++ b/nnpdf_data/nnpdf_data/new_commondata/CMS_TTBAR_8TEV_2L_DIF/filter.py @@ -4,7 +4,7 @@ from nnpdf_data.new_commondata.ATLAS_TTBAR_13TEV_HADR_DIF.utils import covmat_to_artunc as cta from nnpdf_data.new_commondata.ATLAS_TTBAR_13TEV_HADR_DIF.utils import percentage_to_absolute as pta from nnpdf_data.new_commondata.ATLAS_TTBAR_13TEV_HADR_DIF.utils import symmetrize_errors as se -from nnpdf_data.new_commondata.ATLAS_TTBAR_13TEV_HADR_DIF.utils import trimat_to_fullmat as ttf +from nnpdf_data.filter_utils.uncertainties import symmetrize_errors as se def processData(): diff --git a/nnpdf_data/nnpdf_data/new_commondata/H1_1JET_319GEV_290PB-1_DIF/filter.py b/nnpdf_data/nnpdf_data/new_commondata/H1_1JET_319GEV_290PB-1_DIF/filter.py index 7f19469816..19325631d1 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/H1_1JET_319GEV_290PB-1_DIF/filter.py +++ b/nnpdf_data/nnpdf_data/new_commondata/H1_1JET_319GEV_290PB-1_DIF/filter.py @@ -4,7 +4,7 @@ import yaml from nnpdf_data.new_commondata.ATLAS_TTBAR_13TEV_HADR_DIF.utils import percentage_to_absolute as pta -from nnpdf_data.new_commondata.ATLAS_TTBAR_13TEV_HADR_DIF.utils import symmetrize_errors as se +from nnpdf_data.filter_utils.uncertainties import symmetrize_errors as se def processData(): diff --git a/nnpdf_data/nnpdf_data/new_commondata/H1_2JET_319GEV_290PB-1_DIF/filter.py b/nnpdf_data/nnpdf_data/new_commondata/H1_2JET_319GEV_290PB-1_DIF/filter.py index ecf4dff877..a3923e6b9f 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/H1_2JET_319GEV_290PB-1_DIF/filter.py +++ b/nnpdf_data/nnpdf_data/new_commondata/H1_2JET_319GEV_290PB-1_DIF/filter.py @@ -4,7 +4,7 @@ import yaml from nnpdf_data.new_commondata.ATLAS_TTBAR_13TEV_HADR_DIF.utils import percentage_to_absolute as pta -from nnpdf_data.new_commondata.ATLAS_TTBAR_13TEV_HADR_DIF.utils import symmetrize_errors as se +from nnpdf_data.filter_utils.uncertainties import symmetrize_errors as se def processData(): diff --git a/nnpdf_data/nnpdf_data/new_commondata/HERMES_NC_7GEV_ED/filter.py b/nnpdf_data/nnpdf_data/new_commondata/HERMES_NC_7GEV_ED/filter.py index 38e3209d55..8ffa9f2f16 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/HERMES_NC_7GEV_ED/filter.py +++ b/nnpdf_data/nnpdf_data/new_commondata/HERMES_NC_7GEV_ED/filter.py @@ -9,8 +9,7 @@ HERE = pathlib.Path(__file__).parent sys.path = [str(HERE.parent / "HERMES_NC_7GEV_EP")] + sys.path -from filter import compute_covmat - +from nnpdf_data.filter_utils.correlations import compute_covmat def read_data(fnames): df = pd.DataFrame() @@ -81,11 +80,9 @@ def write_data(df): # Extract the correlation matrix and compute artificial systematics ndata_points = len(data_central) corrmatrix = read_corrmatrix(nb_datapoints=ndata_points) - # Compute the covariance matrix - compute_covmat(corrmatrix, df, ndata_points) # Compute the covariance matrix - art_sys = compute_covmat(corrmatrix, df, ndata_points) + art_sys = compute_covmat(corrmatrix, df['stat'], ndata_points) error = [] for i in range(ndata_points): diff --git a/nnpdf_data/nnpdf_data/new_commondata/HERMES_NC_7GEV_EP/filter.py b/nnpdf_data/nnpdf_data/new_commondata/HERMES_NC_7GEV_EP/filter.py index 7b4613de30..055db9276e 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/HERMES_NC_7GEV_EP/filter.py +++ b/nnpdf_data/nnpdf_data/new_commondata/HERMES_NC_7GEV_EP/filter.py @@ -2,10 +2,10 @@ import pathlib import numpy as np -from numpy.linalg import eig import pandas as pd import yaml +from nnpdf_data.filter_utils.correlations import compute_covmat def read_data(fnames): df = pd.DataFrame() @@ -49,84 +49,6 @@ def read_corrmatrix(nb_datapoints: int = 15) -> np.ndarray: return df_corrs.value.values.reshape((nb_datapoints, nb_datapoints)) - -def covmat_to_artunc(ndata, covmat_list, no_of_norm_mat=0): - r"""Convert the covariance matrix to a matrix of - artificial uncertainties. - - NOTE: This function has been taken from validphys.newcommondata_utils. - If those utils get merged in the future, we can replace this. - - Parameters - ---------- - ndata : integer - Number of data points - covmat_list : list - A one dimensional list which contains the elements of - the covariance matrix row by row. Since experimental - datasets provide these matrices in a list form, this - simplifies the implementation for the user. - no_of_norm_mat : int - Normalized covariance matrices may have an eigenvalue - of 0 due to the last data point not being linearly - independent. To allow for this, the user should input - the number of normalized matrices that are being treated - in an instance. For example, if a single covariance matrix - of a normalized distribution is being processed, the input - would be 1. If a covariance matrix contains pertains to - 3 normalized datasets (i.e. cross covmat for 3 - distributions), the input would be 3. The default value is - 0 for when the covariance matrix pertains to an absolute - distribution. - - Returns - ------- - artunc : list - A two dimensional matrix (given as a list of lists) - which contains artificial uncertainties to be added - to the commondata. i^th row (or list) contains the - artificial uncertainties of the i^th data point. - - """ - epsilon = -0.0000000001 - neg_eval_count = 0 - psd_check = True - covmat = np.zeros((ndata, ndata)) - artunc = np.zeros((ndata, ndata)) - for i in range(len(covmat_list)): - a = i // ndata - b = i % ndata - covmat[a][b] = covmat_list[i] - eigval, eigvec = eig(covmat) - for j in range(len(eigval)): - if eigval[j] < epsilon: - psd_check = False - elif eigval[j] > epsilon and eigval[j] <= 0: - neg_eval_count = neg_eval_count + 1 - if neg_eval_count == (no_of_norm_mat + 1): - psd_check = False - elif eigval[j] > 0: - continue - if psd_check == False: - raise ValueError('The covariance matrix is not positive-semidefinite') - else: - for i in range(ndata): - for j in range(ndata): - if eigval[j] < 0: - continue - else: - artunc[i][j] = eigvec[i][j] * np.sqrt(eigval[j]) - return artunc.tolist() - - -def compute_covmat(corrmat: np.ndarray, df: pd.DataFrame, ndata: int) -> list: - """Compute the covariance matrix with the artificial stat uncertanties.""" - # multiply by stat err - stat = df["stat"] - cov_mat = np.einsum("i,ij,j->ij", stat, corrmat, stat) - return covmat_to_artunc(ndata, cov_mat.flatten().tolist()) - - def write_data(df): data_central = [] for i in range(len(df["G"])): @@ -153,11 +75,9 @@ def write_data(df): # Extract the correlation matrix and compute artificial systematics ndata_points = len(data_central) corrmatrix = read_corrmatrix(nb_datapoints=ndata_points) - # Compute the covariance matrix - compute_covmat(corrmatrix, df, ndata_points) # Compute the covariance matrix - art_sys = compute_covmat(corrmatrix, df, ndata_points) + art_sys = compute_covmat(corrmatrix, df['stat'], ndata_points) error = [] for i in range(ndata_points): diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_200GEV/filter.py b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_200GEV/filter.py index 5b7182fb80..a4fe2af75e 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_200GEV/filter.py +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_200GEV/filter.py @@ -1,11 +1,9 @@ import glob -import sys import pandas as pd import yaml -sys.path.append('../') -from ATLAS_TTBAR_13TEV_HADR_DIF.utils import symmetrize_errors +from nnpdf_data.filter_utils.uncertainties import symmetrize_errors as se def read_data(fnames): diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/filter.py b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/filter.py index 86cec57ed2..3801674e29 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/filter.py +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/filter.py @@ -1,12 +1,10 @@ import glob -import sys import pandas as pd import yaml -sys.path.append('../') -from ATLAS_TTBAR_13TEV_HADR_DIF.utils import symmetrize_errors -from HERMES_NC_7GEV_EP.filter import compute_covmat +from nnpdf_data.filter_utils.uncertainties import symmetrize_errors +from nnpdf_data.filter_utils.correlations import compute_covmat def read_data(fnames): @@ -92,7 +90,7 @@ def write_data(df, dfc): # Compute the covariance matrix corrmat = dfc.values.reshape((len(df), len(df))) - art_sys = compute_covmat(corrmat, df, len(df)) + art_sys = compute_covmat(corrmat, df["stat"], len(df)) # Write kin file kin = [] diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/uncertainties.yaml index 6ff8d3bc4d..4149557d46 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/uncertainties.yaml @@ -98,529 +98,529 @@ definitions: bins: - stat: 0.0015 sys: 0.0003 - sys_0: -1.6448417112301333e-06 - sys_1: 3.0767956744795033e-06 - sys_2: 2.985686421137934e-06 - sys_3: 2.6739400670555545e-06 - sys_4: 1.5799135431026458e-06 - sys_5: 4.469439476545788e-06 - sys_6: 3.5031982026635955e-06 - sys_7: -8.192103049239285e-06 - sys_8: 8.519902585570326e-06 - sys_9: 1.0162143079716163e-05 - sys_10: 5.851109783478681e-06 - sys_11: 1.9163436414823837e-05 - sys_12: 1.1503154098901525e-05 - sys_13: 3.266469386476217e-05 - sys_14: 2.303922686539146e-05 - sys_15: 6.747820260959229e-05 - sys_16: 3.817964657258357e-05 - sys_17: 0.0014256774940655404 - sys_18: 0.00035118617038519697 - sys_19: -0.0002906207220419269 - sys_20: -3.13699619655819e-05 - sys_21: -1.4797025494046162e-05 + sys_0: -1.6448417112333418e-06 + sys_1: 3.0767956744796355e-06 + sys_2: 2.985686421142568e-06 + sys_3: 2.673940067049602e-06 + sys_4: 1.5799135431010748e-06 + sys_5: 4.469439476538994e-06 + sys_6: 3.5031982026613432e-06 + sys_7: -8.1921030492366e-06 + sys_8: 8.519902585571064e-06 + sys_9: 1.0162143079714145e-05 + sys_10: 5.851109783476301e-06 + sys_11: 1.9163436414824488e-05 + sys_12: 1.1503154098899344e-05 + sys_13: 3.2664693864755716e-05 + sys_14: 2.3039226865385585e-05 + sys_15: 6.747820260957826e-05 + sys_16: 3.8179646572563185e-05 + sys_17: 0.0014256774940655367 + sys_18: 0.0003511861703851319 + sys_19: -0.0002906207220420177 + sys_20: -3.136996196577313e-05 + sys_21: -1.4797025494576926e-05 - stat: 0.0016 sys: 0.0004 - sys_0: -3.4518076796518805e-06 - 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stat: 0.0221 sys: 0.0038 - sys_0: -0.0004551543900004909 - sys_1: 0.0013883598392172814 - sys_2: 0.022022046125861193 - sys_3: -0.0011249872659298908 - sys_4: -0.00014963689330641577 - sys_5: -0.00012520007960570422 - sys_6: -2.322229407153053e-05 - sys_7: 2.2819133423036335e-05 - sys_8: -4.799887931168836e-06 - sys_9: -4.967968716288533e-06 - sys_10: -1.2407767922627104e-06 - sys_11: -1.7390290174771895e-06 - sys_12: -1.7394982131031865e-07 - sys_13: -6.700078986174951e-07 - sys_14: -3.6062737144925745e-07 - sys_15: -3.6847028187476367e-07 - sys_16: 3.0091366414723814e-08 - sys_17: -5.7292660770133625e-08 - sys_18: -4.6986463922386556e-07 - sys_19: -1.1387630609523068e-07 - sys_20: -7.767009761208889e-08 - sys_21: -1.2127736386574572e-08 + sys_0: -0.0004551543900004952 + sys_1: 0.001388359839217281 + sys_2: 0.022022046125861203 + sys_3: -0.001124987265929876 + sys_4: -0.000149636893306413 + sys_5: -0.000125200079605701 + sys_6: -2.32222940715299e-05 + sys_7: 2.2819133423035843e-05 + sys_8: -4.799887931168238e-06 + sys_9: -4.967968716288324e-06 + sys_10: -1.2407767922626161e-06 + sys_11: -1.739029017477025e-06 + sys_12: -1.7394982131026158e-07 + sys_13: -6.700078986176279e-07 + sys_14: -3.6062737144925385e-07 + sys_15: -3.6847028187470067e-07 + sys_16: 3.009136641463142e-08 + sys_17: -5.729266077014168e-08 + sys_18: -4.6986463922381326e-07 + sys_19: -1.1387630609504136e-07 + sys_20: -7.767009761187372e-08 + sys_21: -1.2127736386358772e-08 - stat: 0.0434 sys: 0.006 - sys_0: -0.04337071162054244 + sys_0: -0.043370711620542436 sys_1: -0.0015695501970985082 - sys_2: -0.0001978892564880431 - sys_3: -0.00019320951003664913 - sys_4: -2.3153132718638234e-05 - sys_5: -2.8657491227276497e-05 - sys_6: -4.184112512098821e-06 - sys_7: 4.347708483568332e-06 - sys_8: -8.641965407956742e-07 - sys_9: -1.002647578381799e-06 - sys_10: -5.838572886197024e-08 - sys_11: -2.9010364045999787e-07 - sys_12: -1.8551346809229957e-07 - sys_13: -1.028974645147263e-07 - sys_14: -4.9288823452424046e-08 - sys_15: -5.58494115494554e-08 - sys_16: 8.24429327471205e-09 - sys_17: -1.3979433472408974e-08 - sys_18: -1.14012183583828e-07 - sys_19: -2.0642063350458738e-08 - sys_20: -2.4056520791451592e-08 - sys_21: -2.6129264562384213e-08 + sys_2: -0.00019788925648804294 + sys_3: -0.00019320951003665 + sys_4: -2.3153132718638176e-05 + sys_5: -2.8657491227276663e-05 + sys_6: -4.184112512098797e-06 + sys_7: 4.3477084835685e-06 + sys_8: -8.641965407956168e-07 + sys_9: -1.0026475783818943e-06 + sys_10: -5.8385728861666226e-08 + sys_11: -2.901036404600478e-07 + sys_12: -1.8551346809212596e-07 + sys_13: -1.0289746451456385e-07 + sys_14: -4.928882345241368e-08 + sys_15: -5.5849411549514293e-08 + sys_16: 8.244293274545548e-09 + sys_17: -1.397943347217152e-08 + sys_18: -1.1401218358386539e-07 + sys_19: -2.064206335065571e-08 + sys_20: -2.4056520791443638e-08 + sys_21: -2.612926456242647e-08 diff --git a/nnpdf_data/nnpdf_data/new_commondata/ZEUS_1JET_300GEV_38P6PB-1_DIF/filter.py b/nnpdf_data/nnpdf_data/new_commondata/ZEUS_1JET_300GEV_38P6PB-1_DIF/filter.py index e6c5b3fa0b..b86614b230 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/ZEUS_1JET_300GEV_38P6PB-1_DIF/filter.py +++ b/nnpdf_data/nnpdf_data/new_commondata/ZEUS_1JET_300GEV_38P6PB-1_DIF/filter.py @@ -1,6 +1,6 @@ import yaml -from nnpdf_data.new_commondata.ATLAS_TTBAR_13TEV_HADR_DIF.utils import symmetrize_errors as se +from nnpdf_data.filter_utils.uncertainties import symmetrize_errors as se def processData(): diff --git a/nnpdf_data/nnpdf_data/new_commondata/ZEUS_1JET_319GEV_82PB-1_DIF/filter.py b/nnpdf_data/nnpdf_data/new_commondata/ZEUS_1JET_319GEV_82PB-1_DIF/filter.py index 1804a8e969..f992b7a8e6 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/ZEUS_1JET_319GEV_82PB-1_DIF/filter.py +++ b/nnpdf_data/nnpdf_data/new_commondata/ZEUS_1JET_319GEV_82PB-1_DIF/filter.py @@ -1,6 +1,6 @@ import yaml -from nnpdf_data.new_commondata.ATLAS_TTBAR_13TEV_HADR_DIF.utils import symmetrize_errors as se +from nnpdf_data.filter_utils.uncertainties import symmetrize_errors as se def processData(): diff --git a/nnpdf_data/nnpdf_data/new_commondata/ZEUS_2JET_319GEV_374PB-1_DIF/filter.py b/nnpdf_data/nnpdf_data/new_commondata/ZEUS_2JET_319GEV_374PB-1_DIF/filter.py index ce56dd4dab..dd930278b2 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/ZEUS_2JET_319GEV_374PB-1_DIF/filter.py +++ b/nnpdf_data/nnpdf_data/new_commondata/ZEUS_2JET_319GEV_374PB-1_DIF/filter.py @@ -1,6 +1,6 @@ import yaml -from nnpdf_data.new_commondata.ATLAS_TTBAR_13TEV_HADR_DIF.utils import symmetrize_errors as se +from nnpdf_data.filter_utils.uncertainties import symmetrize_errors as se def processData(): From a5888e120c4809e62dfc1ca5132b487fa4c4d2c3 Mon Sep 17 00:00:00 2001 From: giacomomagni Date: Mon, 22 Apr 2024 20:14:59 +0200 Subject: [PATCH 10/70] correct label --- .../STAR_2013_1JET_510GEV/uncertainties.yaml | 28 +++++++++---------- .../uncertainties.yaml | 24 ++++++++-------- .../uncertainties.yaml | 26 ++++++++--------- .../uncertainties.yaml | 24 ++++++++-------- .../uncertainties.yaml | 24 ++++++++-------- 5 files changed, 63 insertions(+), 63 deletions(-) diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/uncertainties.yaml index d85950b6fb..0584f1292d 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/uncertainties.yaml @@ -2,59 +2,59 @@ definitions: sys_0: description: 0 artificial correlated statistical + systematics uncertainty treatment: ADD - type: CORR + type: STAR2015 sys_1: description: 1 artificial correlated statistical + systematics uncertainty treatment: ADD - type: CORR + type: STAR2015 sys_2: description: 2 artificial correlated statistical + systematics uncertainty treatment: ADD - type: CORR + type: STAR2015 sys_3: description: 3 artificial correlated statistical + systematics uncertainty treatment: ADD - type: CORR + type: STAR2015 sys_4: description: 4 artificial correlated statistical + systematics uncertainty treatment: ADD - type: CORR + type: STAR2015 sys_5: description: 5 artificial correlated statistical + systematics uncertainty treatment: ADD - type: CORR + type: STAR2015 sys_6: description: 6 artificial correlated statistical + systematics uncertainty treatment: ADD - type: CORR + type: STAR2015 sys_7: description: 7 artificial correlated statistical + systematics uncertainty treatment: ADD - type: CORR + type: STAR2015 sys_8: description: 8 artificial correlated statistical + systematics uncertainty treatment: ADD - type: CORR + type: STAR2015 sys_9: description: 9 artificial correlated statistical + systematics uncertainty treatment: ADD - type: CORR + type: STAR2015 sys_10: description: 10 artificial correlated statistical + systematics uncertainty treatment: ADD - type: CORR + type: STAR2015 sys_11: description: 11 artificial correlated statistical + systematics uncertainty treatment: ADD - type: CORR + type: STAR2015 sys_12: description: 12 artificial correlated statistical + systematics uncertainty treatment: ADD - type: CORR + type: STAR2015 sys_13: description: 13 artificial correlated statistical + systematics uncertainty treatment: ADD - type: CORR + type: STAR2015 bins: - sys_0: -1.0951625464162565e-09 sys_1: 1.1516691091869679e-08 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_A_510GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_A_510GEV/uncertainties.yaml index abaa88e526..6391c635c0 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_A_510GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_A_510GEV/uncertainties.yaml @@ -2,51 +2,51 @@ definitions: sys_0: description: 0 artificial correlated systematics uncertainty treatment: ADD - type: CORR + type: STAR2015 sys_1: description: 1 artificial correlated systematics uncertainty treatment: ADD - type: CORR + type: STAR2015 sys_2: description: 2 artificial correlated systematics uncertainty treatment: ADD - type: CORR + type: STAR2015 sys_3: description: 3 artificial correlated systematics uncertainty treatment: ADD - type: CORR + type: STAR2015 sys_4: description: 4 artificial correlated systematics uncertainty treatment: ADD - type: CORR + type: STAR2015 sys_5: description: 5 artificial correlated systematics uncertainty treatment: ADD - type: CORR + type: STAR2015 sys_6: description: 6 artificial correlated systematics uncertainty treatment: ADD - type: CORR + type: STAR2015 sys_7: description: 7 artificial correlated systematics uncertainty treatment: ADD - type: CORR + type: STAR2015 sys_8: description: 8 artificial correlated systematics uncertainty treatment: ADD - type: CORR + type: STAR2015 sys_9: description: 9 artificial correlated systematics uncertainty treatment: ADD - type: CORR + type: STAR2015 sys_10: description: 10 artificial correlated systematics uncertainty treatment: ADD - type: CORR + type: STAR2015 sys_11: description: 11 artificial correlated systematics uncertainty treatment: ADD - type: CORR + type: STAR2015 stat: description: statistical uncertainty treatment: ADD diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_B_510GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_B_510GEV/uncertainties.yaml index 51030020ba..c412bc89c7 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_B_510GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_B_510GEV/uncertainties.yaml @@ -2,55 +2,55 @@ definitions: sys_0: description: 0 artificial correlated systematics uncertainty treatment: ADD - type: CORR + type: STAR2015 sys_1: description: 1 artificial correlated systematics uncertainty treatment: ADD - type: CORR + type: STAR2015 sys_2: description: 2 artificial correlated systematics uncertainty treatment: ADD - type: CORR + type: STAR2015 sys_3: description: 3 artificial correlated systematics uncertainty treatment: ADD - type: CORR + type: STAR2015 sys_4: description: 4 artificial correlated systematics uncertainty treatment: ADD - type: CORR + type: STAR2015 sys_5: description: 5 artificial correlated systematics uncertainty treatment: ADD - type: CORR + type: STAR2015 sys_6: description: 6 artificial correlated systematics uncertainty treatment: ADD - type: CORR + type: STAR2015 sys_7: description: 7 artificial correlated systematics uncertainty treatment: ADD - type: CORR + type: STAR2015 sys_8: description: 8 artificial correlated systematics uncertainty treatment: ADD - type: CORR + type: STAR2015 sys_9: description: 9 artificial correlated systematics uncertainty treatment: ADD - type: CORR + type: STAR2015 sys_10: description: 10 artificial correlated systematics uncertainty treatment: ADD - type: CORR + type: STAR2015 sys_11: description: 11 artificial correlated systematics uncertainty treatment: ADD - type: CORR + type: STAR2015 sys_12: description: 12 artificial correlated systematics uncertainty treatment: ADD - type: CORR + type: STAR2015 stat: description: statistical uncertainty treatment: ADD diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_C_510GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_C_510GEV/uncertainties.yaml index 7a887c47a3..dece180828 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_C_510GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_C_510GEV/uncertainties.yaml @@ -2,51 +2,51 @@ definitions: sys_0: description: 0 artificial correlated systematics uncertainty treatment: ADD - type: CORR + type: STAR2015 sys_1: description: 1 artificial correlated systematics uncertainty treatment: ADD - type: CORR + type: STAR2015 sys_2: description: 2 artificial correlated systematics uncertainty treatment: ADD - type: CORR + type: STAR2015 sys_3: description: 3 artificial correlated systematics uncertainty treatment: ADD - type: CORR + type: STAR2015 sys_4: description: 4 artificial correlated systematics uncertainty treatment: ADD - type: CORR + type: STAR2015 sys_5: description: 5 artificial correlated systematics uncertainty treatment: ADD - type: CORR + type: STAR2015 sys_6: description: 6 artificial correlated systematics uncertainty treatment: ADD - type: CORR + type: STAR2015 sys_7: description: 7 artificial correlated systematics uncertainty treatment: ADD - type: CORR + type: STAR2015 sys_8: description: 8 artificial correlated systematics uncertainty treatment: ADD - type: CORR + type: STAR2015 sys_9: description: 9 artificial correlated systematics uncertainty treatment: ADD - type: CORR + type: STAR2015 sys_10: description: 10 artificial correlated systematics uncertainty treatment: ADD - type: CORR + type: STAR2015 sys_11: description: 11 artificial correlated systematics uncertainty treatment: ADD - type: CORR + type: STAR2015 stat: description: statistical uncertainty treatment: ADD diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_D_510GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_D_510GEV/uncertainties.yaml index ed1963c210..f0e185e052 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_D_510GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_D_510GEV/uncertainties.yaml @@ -2,51 +2,51 @@ definitions: sys_0: description: 0 artificial correlated systematics uncertainty treatment: ADD - type: CORR + type: STAR2015 sys_1: description: 1 artificial correlated systematics uncertainty treatment: ADD - type: CORR + type: STAR2015 sys_2: description: 2 artificial correlated systematics uncertainty treatment: ADD - type: CORR + type: STAR2015 sys_3: description: 3 artificial correlated systematics uncertainty treatment: ADD - type: CORR + type: STAR2015 sys_4: description: 4 artificial correlated systematics uncertainty treatment: ADD - type: CORR + type: STAR2015 sys_5: description: 5 artificial correlated systematics uncertainty treatment: ADD - type: CORR + type: STAR2015 sys_6: description: 6 artificial correlated systematics uncertainty treatment: ADD - type: CORR + type: STAR2015 sys_7: description: 7 artificial correlated systematics uncertainty treatment: ADD - type: CORR + type: STAR2015 sys_8: description: 8 artificial correlated systematics uncertainty treatment: ADD - type: CORR + type: STAR2015 sys_9: description: 9 artificial correlated systematics uncertainty treatment: ADD - type: CORR + type: STAR2015 sys_10: description: 10 artificial correlated systematics uncertainty treatment: ADD - type: CORR + type: STAR2015 sys_11: description: 11 artificial correlated systematics uncertainty treatment: ADD - type: CORR + type: STAR2015 stat: description: statistical uncertainty treatment: ADD From 34e2c8bcbc67e5b54dc3f09f45e3a275c242c1ce Mon Sep 17 00:00:00 2001 From: giacomomagni Date: Mon, 22 Apr 2024 20:15:08 +0200 Subject: [PATCH 11/70] correct label --- nnpdf_data/nnpdf_data/filter_utils/star_2013_510gev.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/nnpdf_data/nnpdf_data/filter_utils/star_2013_510gev.py b/nnpdf_data/nnpdf_data/filter_utils/star_2013_510gev.py index 6136b00de4..cab335895e 100644 --- a/nnpdf_data/nnpdf_data/filter_utils/star_2013_510gev.py +++ b/nnpdf_data/nnpdf_data/filter_utils/star_2013_510gev.py @@ -171,7 +171,7 @@ def write_1jet_data(df, art_sys, ndata): f"sys_{i}": { "description": f"{i} artificial correlated statistical + systematics uncertainty", "treatment": "ADD", - "type": "CORR", + "type": "STAR2015", } for i in range(ndata) } @@ -217,7 +217,7 @@ def write_2jet_data(df, topology, art_sys, ndata): f"sys_{i}": { "description": f"{i} artificial correlated systematics uncertainty", "treatment": "ADD", - "type": "CORR", + "type": "STAR2015", } for i in range(ndata) } From 79bb21faf1470d8954d243a717826077abaabbf5 Mon Sep 17 00:00:00 2001 From: giacomomagni Date: Mon, 22 Apr 2024 22:34:43 +0200 Subject: [PATCH 12/70] fix art systematics --- .../filter_utils/star_2013_510gev.py | 86 +- .../STAR_2013_1JET_510GEV/uncertainties.yaml | 896 ++++++++++++- .../uncertainties.yaml | 1110 +++++++++++++-- .../uncertainties.yaml | 1194 ++++++++++++++--- .../uncertainties.yaml | 1110 +++++++++++++-- .../uncertainties.yaml | 1110 +++++++++++++-- 6 files changed, 4839 insertions(+), 667 deletions(-) diff --git a/nnpdf_data/nnpdf_data/filter_utils/star_2013_510gev.py b/nnpdf_data/nnpdf_data/filter_utils/star_2013_510gev.py index cab335895e..2d02b583fe 100644 --- a/nnpdf_data/nnpdf_data/filter_utils/star_2013_510gev.py +++ b/nnpdf_data/nnpdf_data/filter_utils/star_2013_510gev.py @@ -1,12 +1,12 @@ """This script provides the common filer to the jet and dijet STAR 2013 datasets. Files need to be parsed all together as there are correlations provided. """ -import pandas as pd -import numpy as np import pathlib -import yaml from correlations import compute_covmat +import numpy as np +import pandas as pd +import yaml # values from the paper https://arxiv.org/pdf/2110.11020.pdf SQRTS = 510 @@ -157,24 +157,27 @@ def write_1jet_data(df, art_sys, ndata): # Write unc file error = [] - for i in range(ndata): + error_definition = {} + # loop on data points + for i, sys_i in enumerate(art_sys): e = {} - # add the art sys - for j in range(ndata): - e[f"sys_{j}"] = art_sys[i][j] - e[ - "stat" - ] = 0 # This is set to 0 as the stat unc is correlated and reported in sys_0 + # loop on art sys + for j, val in enumerate(sys_i): + e[f"sys_{j}"] = val + + if i == 0: + error_definition.update( + { + f"sys_{j}": { + "description": f"{j} artificial correlated statistical + systematics uncertainty", + "treatment": "ADD", + "type": "STAR2015", + } + for j in range(len(sys_i)) + } + ) error.append(e) - error_definition = { - f"sys_{i}": { - "description": f"{i} artificial correlated statistical + systematics uncertainty", - "treatment": "ADD", - "type": "STAR2015", - } - for i in range(ndata) - } uncertainties_yaml = {"definitions": error_definition, "bins": error} with open(STORE_PATH / "uncertainties.yaml", "w", encoding="utf-8") as file: yaml.dump(uncertainties_yaml, file, sort_keys=False) @@ -205,31 +208,34 @@ def write_2jet_data(df, topology, art_sys, ndata): # Write unc file error = [] - for i in range(ndata): - e = {} - # add the art sys - for j in range(ndata): - e[f"sys_{j}"] = art_sys[i][j] - e["stat"] = float(df.loc[i, "stat"]) - error.append(e) - error_definition = { - f"sys_{i}": { - "description": f"{i} artificial correlated systematics uncertainty", + "stat": { + "description": "statistical uncertainty", "treatment": "ADD", - "type": "STAR2015", + "type": "UNCORR", } - for i in range(ndata) } - error_definition.update( - { - "stat": { - "description": "statistical uncertainty", - "treatment": "ADD", - "type": "UNCORR", - } - } - ) + # loop on data points + for i, sys_i in enumerate(art_sys): + e = {} + # loop on art sys + for j, val in enumerate(sys_i): + e[f"sys_{j}"] = val + e["stat"] = float(df.loc[i, "stat"]) + error.append(e) + + if i == 0: + error_definition.update( + { + f"sys_{j}": { + "description": f"{j} artificial correlated systematics uncertainty", + "treatment": "ADD", + "type": "STAR2015", + } + for j in range(len(sys_i)) + } + ) + uncertainties_yaml = {"definitions": error_definition, "bins": error} with open(STORE_PATH / "uncertainties.yaml", "w", encoding="utf-8") as file: yaml.dump(uncertainties_yaml, file, sort_keys=False) @@ -261,7 +267,7 @@ def write_2jet_data(df, topology, art_sys, ndata): cnt = 0 for topo, df in dfs.items(): ndata = ndata_dict[topo] - syst = art_sys[cnt:cnt+ndata, cnt:cnt+ndata].tolist() + syst = art_sys[cnt : cnt + ndata, :].tolist() if topo == "1JET": write_1jet_data(df, syst, ndata) else: diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/uncertainties.yaml index 0584f1292d..1ef751385c 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/uncertainties.yaml @@ -55,6 +55,202 @@ definitions: description: 13 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2015 + sys_14: + description: 14 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015 + sys_15: + description: 15 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015 + sys_16: + description: 16 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015 + sys_17: + description: 17 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015 + sys_18: + description: 18 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015 + sys_19: + description: 19 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015 + sys_20: + description: 20 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015 + sys_21: + description: 21 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015 + sys_22: + description: 22 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015 + sys_23: + description: 23 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015 + sys_24: + description: 24 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015 + sys_25: + description: 25 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015 + sys_26: + description: 26 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015 + sys_27: + description: 27 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015 + sys_28: + description: 28 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015 + sys_29: + description: 29 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015 + sys_30: + description: 30 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015 + sys_31: + description: 31 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015 + sys_32: + description: 32 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015 + sys_33: + description: 33 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015 + sys_34: + description: 34 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015 + sys_35: + description: 35 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015 + sys_36: + description: 36 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015 + sys_37: + description: 37 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015 + sys_38: + description: 38 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015 + sys_39: + description: 39 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015 + sys_40: + description: 40 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015 + sys_41: + description: 41 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015 + sys_42: + description: 42 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015 + sys_43: + description: 43 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015 + sys_44: + description: 44 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015 + sys_45: + description: 45 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015 + sys_46: + description: 46 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015 + sys_47: + description: 47 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015 + sys_48: + description: 48 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015 + sys_49: + description: 49 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015 + sys_50: + description: 50 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015 + sys_51: + description: 51 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015 + sys_52: + description: 52 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015 + sys_53: + description: 53 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015 + sys_54: + description: 54 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015 + sys_55: + description: 55 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015 + sys_56: + description: 56 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015 + sys_57: + description: 57 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015 + sys_58: + description: 58 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015 + sys_59: + description: 59 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015 + sys_60: + description: 60 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015 + sys_61: + description: 61 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015 + sys_62: + description: 62 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015 bins: - sys_0: -1.0951625464162565e-09 sys_1: 1.1516691091869679e-08 @@ -70,7 +266,55 @@ bins: sys_11: 2.086134837183203e-05 sys_12: -3.067777040199403e-05 sys_13: -2.2721684612739994e-05 - stat: 0 + sys_14: -1.4463054685169093e-05 + sys_15: 3.5999936568569414e-08 + sys_16: 1.2815920167376136e-05 + sys_17: -3.7997341768995305e-06 + sys_18: 1.2795345455424942e-06 + sys_19: 3.0805921064734674e-06 + sys_20: 4.352543394974936e-06 + sys_21: 3.38643695082662e-07 + sys_22: -7.417477536355032e-07 + sys_23: 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treatment: ADD type: STAR2015 - stat: - description: statistical uncertainty + sys_12: + description: 12 artificial correlated systematics uncertainty treatment: ADD - type: UNCORR + type: STAR2015 + sys_13: + description: 13 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_14: + description: 14 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_15: + description: 15 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_16: + description: 16 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_17: + description: 17 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_18: + description: 18 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_19: + description: 19 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_20: + description: 20 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_21: + description: 21 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_22: + description: 22 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_23: + description: 23 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_24: + description: 24 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_25: + description: 25 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_26: + description: 26 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_27: + description: 27 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_28: + description: 28 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_29: + description: 29 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_30: + description: 30 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_31: + description: 31 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_32: + description: 32 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_33: + description: 33 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_34: + description: 34 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_35: + description: 35 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_36: + description: 36 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_37: + description: 37 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_38: + description: 38 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_39: + description: 39 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_40: + description: 40 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_41: + description: 41 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_42: + description: 42 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_43: + description: 43 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_44: + description: 44 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_45: + description: 45 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_46: + description: 46 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_47: + description: 47 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_48: + description: 48 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_49: + description: 49 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_50: + description: 50 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_51: + description: 51 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_52: + description: 52 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_53: + description: 53 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_54: + description: 54 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_55: + description: 55 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_56: + description: 56 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_57: + description: 57 artificial 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artificial correlated systematics uncertainty treatment: ADD type: STAR2015 - stat: - description: statistical uncertainty + sys_13: + description: 13 artificial correlated systematics uncertainty treatment: ADD - type: UNCORR + type: STAR2015 + sys_14: + description: 14 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_15: + description: 15 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_16: + description: 16 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_17: + description: 17 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_18: + description: 18 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_19: + description: 19 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_20: + description: 20 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_21: + description: 21 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_22: + description: 22 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_23: + description: 23 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_24: + description: 24 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_25: + description: 25 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_26: + description: 26 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_27: + description: 27 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_28: + description: 28 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_29: + description: 29 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_30: + description: 30 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_31: + description: 31 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_32: + description: 32 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_33: + description: 33 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_34: + description: 34 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_35: + description: 35 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_36: + description: 36 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_37: + description: 37 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_38: + description: 38 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_39: + description: 39 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_40: + description: 40 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_41: + description: 41 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_42: + description: 42 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_43: + description: 43 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_44: + description: 44 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_45: + description: 45 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_46: + description: 46 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_47: + description: 47 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_48: + description: 48 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_49: + description: 49 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_50: + description: 50 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_51: + description: 51 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_52: + description: 52 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_53: + description: 53 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_54: + description: 54 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_55: + description: 55 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_56: + description: 56 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_57: + description: 57 artificial correlated systematics uncertainty + treatment: ADD + type: 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uncertainty + sys_12: + description: 12 artificial correlated systematics uncertainty treatment: ADD - type: UNCORR + type: STAR2015 + sys_13: + description: 13 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_14: + description: 14 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_15: + description: 15 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_16: + description: 16 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_17: + description: 17 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_18: + description: 18 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_19: + description: 19 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_20: + description: 20 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_21: + description: 21 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_22: + description: 22 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_23: + description: 23 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_24: + description: 24 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_25: + description: 25 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_26: + description: 26 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_27: + description: 27 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_28: + description: 28 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_29: + description: 29 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_30: + description: 30 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correlated systematics uncertainty treatment: ADD type: STAR2015 - stat: - description: statistical uncertainty + sys_12: + description: 12 artificial correlated systematics uncertainty treatment: ADD - type: UNCORR + type: STAR2015 + sys_13: + description: 13 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_14: + description: 14 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_15: + description: 15 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_16: + description: 16 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_17: + description: 17 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_18: + description: 18 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_19: + description: 19 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_20: + description: 20 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_21: + description: 21 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_22: + description: 22 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_23: + description: 23 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_24: + description: 24 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_25: + description: 25 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_26: + description: 26 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_27: + description: 27 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_28: + description: 28 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_29: + description: 29 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_30: + description: 30 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_31: + description: 31 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_32: + description: 32 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_33: + description: 33 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_34: + description: 34 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_35: + description: 35 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_36: + description: 36 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_37: + description: 37 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_38: + description: 38 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_39: + description: 39 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_40: + description: 40 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_41: + description: 41 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_42: + description: 42 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_43: + description: 43 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_44: + description: 44 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_45: + description: 45 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_46: + description: 46 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_47: + description: 47 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_48: + description: 48 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_49: + description: 49 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_50: + description: 50 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_51: + description: 51 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_52: + description: 52 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_53: + description: 53 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_54: + description: 54 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_55: + description: 55 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_56: + description: 56 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015 + sys_57: + 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+ sys_23: 3.3801035196969704e-08 + sys_24: 3.3106475772528136e-05 + sys_25: -1.1477797795327538e-05 + sys_26: -4.4943171861651475e-06 + sys_27: 9.358906346218257e-06 + sys_28: -7.2411978843001205e-06 + sys_29: -2.451932270873732e-05 + sys_30: 2.8117668161532793e-06 + sys_31: -1.1471049141673807e-05 + sys_32: -1.549758013170435e-06 + sys_33: 1.957676455562059e-06 + sys_34: -1.8251236952983769e-06 + sys_35: 1.993794008786609e-06 + sys_36: 4.92093055058544e-07 + sys_37: 4.3922186763893265e-06 + sys_38: 9.290722736841817e-07 + sys_39: -1.0088518259228287e-06 + sys_40: 8.064896103782205e-07 + sys_41: -4.2439392979265107e-07 + sys_42: -8.33699331095173e-07 + sys_43: -7.695702706920173e-07 + sys_44: -8.800245450276794e-07 + sys_45: 1.284496870858482e-07 + sys_46: -1.0619129169777661e-06 + sys_47: 3.050016352434509e-06 + sys_48: -2.8038487616665674e-06 + sys_49: 1.8463951429481834e-07 + sys_50: 1.1634477428938096e-06 + sys_51: -1.3430015023569493e-07 + sys_52: -6.201118847936362e-07 + sys_53: -1.4876584314772848e-07 + sys_54: 6.587521288100003e-07 + sys_55: 1.2696667856314305e-07 + sys_56: 9.079687107449232e-07 + sys_57: -8.653149770338326e-07 + sys_58: -6.9656619477665965e-09 + sys_59: -4.274278312132293e-08 + sys_60: -5.857686756491707e-07 + sys_61: 4.5906629936432784e-07 + sys_62: 1.7755985099104273e-07 stat: 0.03187 From 250ea794ba33621cd34375c8b500165f5c8457e6 Mon Sep 17 00:00:00 2001 From: giacomomagni Date: Mon, 22 Apr 2024 22:40:48 +0200 Subject: [PATCH 13/70] fix metadata --- .../new_commondata/STAR_2013_2JET_A_510GEV/metadata.yaml | 2 +- .../new_commondata/STAR_2013_2JET_B_510GEV/metadata.yaml | 2 +- .../new_commondata/STAR_2013_2JET_C_510GEV/metadata.yaml | 2 +- .../new_commondata/STAR_2013_2JET_D_510GEV/metadata.yaml | 2 +- 4 files changed, 4 insertions(+), 4 deletions(-) diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_A_510GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_A_510GEV/metadata.yaml index c7dba4a313..eb1b12396c 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_A_510GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_A_510GEV/metadata.yaml @@ -22,7 +22,7 @@ implemented_observables: kinematics: variables: m_jj: {description: "dijet mass", label: "$m_{jj}$", units: "GeV"} - sqrts: {"center of mass energy", label: r"$\sqrt(s)$", units: "GeV"} + sqrts: {description: "center of mass energy", label: r"$\sqrt(s)$", units: "GeV"} file: kinematics.yaml kinematic_coverage: [m_jj, sqrts] data_central: data.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_B_510GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_B_510GEV/metadata.yaml index 20d54714e0..88517aec19 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_B_510GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_B_510GEV/metadata.yaml @@ -22,7 +22,7 @@ implemented_observables: kinematics: variables: m_jj: {description: "dijet mass", label: "$m_{jj}$", units: "GeV"} - sqrts: {"center of mass energy", label: r"$\sqrt(s)$", units: "GeV"} + sqrts: {description: "center of mass energy", label: r"$\sqrt(s)$", units: "GeV"} file: kinematics.yaml kinematic_coverage: [m_jj, sqrts] data_central: data.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_C_510GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_C_510GEV/metadata.yaml index 1e828f32ab..9cba81df37 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_C_510GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_C_510GEV/metadata.yaml @@ -22,7 +22,7 @@ implemented_observables: kinematics: variables: m_jj: {description: "dijet mass", label: "$m_{jj}$", units: "GeV"} - sqrts: {"center of mass energy", label: r"$\sqrt(s)$", units: "GeV"} + sqrts: {description: "center of mass energy", label: r"$\sqrt(s)$", units: "GeV"} file: kinematics.yaml kinematic_coverage: [m_jj, sqrts] data_central: data.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_D_510GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_D_510GEV/metadata.yaml index 0ac491a3e6..be1e3c53c8 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_D_510GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_D_510GEV/metadata.yaml @@ -22,7 +22,7 @@ implemented_observables: kinematics: variables: m_jj: {description: "dijet mass", label: "$m_{jj}$", units: "GeV"} - sqrts: {"center of mass energy", label: r"$\sqrt(s)$", units: "GeV"} + sqrts: {description: "center of mass energy", label: r"$\sqrt(s)$", units: "GeV"} file: kinematics.yaml kinematic_coverage: [m_jj, sqrts] data_central: data.yaml From fb54e162169560fda860b49218fba2a4651b5d3e Mon Sep 17 00:00:00 2001 From: giacomomagni Date: Mon, 22 Apr 2024 23:34:12 +0200 Subject: [PATCH 14/70] make test passing --- .../filter_utils/star_2013_510gev.py | 14 +- .../STAR_2013_1JET_510GEV/uncertainties.yaml | 126 +++++++++--------- .../STAR_2013_2JET_A_510GEV/kinematics.yaml | 24 ++-- .../uncertainties.yaml | 126 +++++++++--------- .../STAR_2013_2JET_B_510GEV/kinematics.yaml | 26 ++-- .../uncertainties.yaml | 126 +++++++++--------- .../STAR_2013_2JET_C_510GEV/kinematics.yaml | 24 ++-- .../uncertainties.yaml | 126 +++++++++--------- .../STAR_2013_2JET_D_510GEV/kinematics.yaml | 24 ++-- .../uncertainties.yaml | 126 +++++++++--------- .../STAR_2015_1JET_200GEV/metadata.yaml | 2 +- validphys2/src/validphys/commondataparser.py | 4 + validphys2/src/validphys/filters.py | 2 + validphys2/src/validphys/process_options.py | 20 ++- 14 files changed, 396 insertions(+), 374 deletions(-) diff --git a/nnpdf_data/nnpdf_data/filter_utils/star_2013_510gev.py b/nnpdf_data/nnpdf_data/filter_utils/star_2013_510gev.py index 2d02b583fe..8b68deba25 100644 --- a/nnpdf_data/nnpdf_data/filter_utils/star_2013_510gev.py +++ b/nnpdf_data/nnpdf_data/filter_utils/star_2013_510gev.py @@ -126,7 +126,7 @@ def read_correlations(ndata_dict): return tot_corr + tot_corr.T - np.eye(np.sum((*ndata_dict.values(),))) -def write_1jet_data(df, art_sys, ndata): +def write_1jet_data(df, art_sys): STORE_PATH = HERE / "new_commondata/STAR_2013_1JET_510GEV/" # Write central data @@ -171,7 +171,7 @@ def write_1jet_data(df, art_sys, ndata): f"sys_{j}": { "description": f"{j} artificial correlated statistical + systematics uncertainty", "treatment": "ADD", - "type": "STAR2015", + "type": f"STAR2013JETunc{j}", } for j in range(len(sys_i)) } @@ -183,7 +183,7 @@ def write_1jet_data(df, art_sys, ndata): yaml.dump(uncertainties_yaml, file, sort_keys=False) -def write_2jet_data(df, topology, art_sys, ndata): +def write_2jet_data(df, topology, art_sys): STORE_PATH = HERE / f"new_commondata/STAR_2013_2JET_{topology}_510GEV/" # Write central data data_central_yaml = {"data_central": list(df["ALL"])} @@ -194,7 +194,7 @@ def write_2jet_data(df, topology, art_sys, ndata): kin = [] for i in range(len(df)): kin_value = { - "mjj": { + "m_jj": { "min": float(df.loc[i, "mjj_min"]), "mid": float(df.loc[i, "mjj"]), "max": float(df.loc[i, "mjj_max"]), @@ -230,7 +230,7 @@ def write_2jet_data(df, topology, art_sys, ndata): f"sys_{j}": { "description": f"{j} artificial correlated systematics uncertainty", "treatment": "ADD", - "type": "STAR2015", + "type": f"STAR2013JETunc{j}", } for j in range(len(sys_i)) } @@ -269,7 +269,7 @@ def write_2jet_data(df, topology, art_sys, ndata): ndata = ndata_dict[topo] syst = art_sys[cnt : cnt + ndata, :].tolist() if topo == "1JET": - write_1jet_data(df, syst, ndata) + write_1jet_data(df, syst) else: - write_2jet_data(df, topo, syst, ndata) + write_2jet_data(df, topo, syst) cnt += ndata diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/uncertainties.yaml index 1ef751385c..8df1790037 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/uncertainties.yaml @@ -2,255 +2,255 @@ definitions: sys_0: description: 0 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc0 sys_1: description: 1 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc1 sys_2: description: 2 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc2 sys_3: description: 3 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc3 sys_4: description: 4 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc4 sys_5: description: 5 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc5 sys_6: description: 6 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc6 sys_7: description: 7 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc7 sys_8: description: 8 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc8 sys_9: description: 9 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc9 sys_10: description: 10 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc10 sys_11: description: 11 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc11 sys_12: description: 12 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc12 sys_13: description: 13 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc13 sys_14: description: 14 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc14 sys_15: description: 15 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc15 sys_16: description: 16 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc16 sys_17: description: 17 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc17 sys_18: description: 18 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc18 sys_19: description: 19 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc19 sys_20: description: 20 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc20 sys_21: description: 21 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc21 sys_22: description: 22 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc22 sys_23: description: 23 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc23 sys_24: description: 24 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc24 sys_25: description: 25 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc25 sys_26: description: 26 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc26 sys_27: description: 27 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc27 sys_28: description: 28 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc28 sys_29: description: 29 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc29 sys_30: description: 30 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc30 sys_31: description: 31 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc31 sys_32: description: 32 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc32 sys_33: description: 33 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc33 sys_34: description: 34 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc34 sys_35: description: 35 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc35 sys_36: description: 36 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc36 sys_37: description: 37 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc37 sys_38: description: 38 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc38 sys_39: description: 39 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc39 sys_40: description: 40 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc40 sys_41: description: 41 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc41 sys_42: description: 42 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc42 sys_43: description: 43 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc43 sys_44: description: 44 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc44 sys_45: description: 45 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc45 sys_46: description: 46 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc46 sys_47: description: 47 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc47 sys_48: description: 48 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc48 sys_49: description: 49 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc49 sys_50: description: 50 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc50 sys_51: description: 51 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc51 sys_52: description: 52 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc52 sys_53: description: 53 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc53 sys_54: description: 54 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc54 sys_55: description: 55 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc55 sys_56: description: 56 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc56 sys_57: description: 57 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc57 sys_58: description: 58 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc58 sys_59: description: 59 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc59 sys_60: description: 60 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc60 sys_61: description: 61 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc61 sys_62: description: 62 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc62 bins: - sys_0: -1.0951625464162565e-09 sys_1: 1.1516691091869679e-08 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_A_510GEV/kinematics.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_A_510GEV/kinematics.yaml index 183c61e511..20be3d2291 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_A_510GEV/kinematics.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_A_510GEV/kinematics.yaml @@ -1,5 +1,5 @@ bins: -- mjj: +- m_jj: max: 17.16 mid: 15.74 min: 14.32 @@ -7,7 +7,7 @@ bins: max: null mid: 510.0 min: null -- mjj: +- m_jj: max: 19.64 mid: 18.5 min: 17.36 @@ -15,7 +15,7 @@ bins: max: null mid: 510.0 min: null -- mjj: +- m_jj: max: 22.91 mid: 21.96 min: 21.01 @@ -23,7 +23,7 @@ bins: max: null mid: 510.0 min: null -- mjj: +- m_jj: max: 27.110000000000003 mid: 26.17 min: 25.23 @@ -31,7 +31,7 @@ bins: max: null mid: 510.0 min: null -- mjj: +- m_jj: max: 32.67 mid: 31.63 min: 30.59 @@ -39,7 +39,7 @@ bins: max: null mid: 510.0 min: null -- mjj: +- m_jj: max: 39.16 mid: 37.8 min: 36.44 @@ -47,7 +47,7 @@ bins: max: null mid: 510.0 min: null -- mjj: +- m_jj: max: 46.1 mid: 44.75 min: 43.4 @@ -55,7 +55,7 @@ bins: max: null mid: 510.0 min: null -- mjj: +- m_jj: max: 54.81 mid: 53.31 min: 51.81 @@ -63,7 +63,7 @@ bins: max: null mid: 510.0 min: null -- mjj: +- m_jj: max: 65.37 mid: 63.64 min: 61.910000000000004 @@ -71,7 +71,7 @@ bins: max: null mid: 510.0 min: null -- mjj: +- m_jj: max: 77.38 mid: 75.32 min: 73.25999999999999 @@ -79,7 +79,7 @@ bins: max: null mid: 510.0 min: null -- mjj: +- m_jj: max: 92.17 mid: 89.66 min: 87.14999999999999 @@ -87,7 +87,7 @@ bins: max: null mid: 510.0 min: null -- mjj: +- m_jj: max: 108.53 mid: 105.63 min: 102.72999999999999 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_A_510GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_A_510GEV/uncertainties.yaml index f5ddf3aa62..e383897cbe 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_A_510GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_A_510GEV/uncertainties.yaml @@ -6,255 +6,255 @@ definitions: sys_0: description: 0 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc0 sys_1: description: 1 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc1 sys_2: description: 2 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc2 sys_3: description: 3 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc3 sys_4: description: 4 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc4 sys_5: description: 5 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc5 sys_6: description: 6 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc6 sys_7: description: 7 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc7 sys_8: description: 8 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc8 sys_9: description: 9 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc9 sys_10: description: 10 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc10 sys_11: description: 11 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc11 sys_12: description: 12 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc12 sys_13: description: 13 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc13 sys_14: description: 14 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc14 sys_15: description: 15 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc15 sys_16: description: 16 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc16 sys_17: description: 17 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc17 sys_18: description: 18 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc18 sys_19: description: 19 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc19 sys_20: description: 20 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc20 sys_21: description: 21 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc21 sys_22: description: 22 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc22 sys_23: description: 23 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc23 sys_24: description: 24 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc24 sys_25: description: 25 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc25 sys_26: description: 26 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc26 sys_27: description: 27 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc27 sys_28: description: 28 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc28 sys_29: description: 29 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc29 sys_30: description: 30 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc30 sys_31: description: 31 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc31 sys_32: description: 32 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc32 sys_33: description: 33 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc33 sys_34: description: 34 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc34 sys_35: description: 35 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc35 sys_36: description: 36 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc36 sys_37: description: 37 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc37 sys_38: description: 38 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc38 sys_39: description: 39 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc39 sys_40: description: 40 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc40 sys_41: description: 41 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc41 sys_42: description: 42 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc42 sys_43: description: 43 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc43 sys_44: description: 44 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc44 sys_45: description: 45 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc45 sys_46: description: 46 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc46 sys_47: description: 47 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc47 sys_48: description: 48 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc48 sys_49: description: 49 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc49 sys_50: description: 50 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc50 sys_51: description: 51 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc51 sys_52: description: 52 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc52 sys_53: description: 53 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc53 sys_54: description: 54 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc54 sys_55: description: 55 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc55 sys_56: description: 56 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc56 sys_57: description: 57 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc57 sys_58: description: 58 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc58 sys_59: description: 59 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc59 sys_60: description: 60 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc60 sys_61: description: 61 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc61 sys_62: description: 62 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc62 bins: - sys_0: -2.15815708458702e-08 sys_1: 1.0594463351038498e-07 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_B_510GEV/kinematics.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_B_510GEV/kinematics.yaml index 5a8d75d9c2..50a3d5933a 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_B_510GEV/kinematics.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_B_510GEV/kinematics.yaml @@ -1,5 +1,5 @@ bins: -- mjj: +- m_jj: max: 16.96 mid: 15.49 min: 14.02 @@ -7,7 +7,7 @@ bins: max: null mid: 510.0 min: null -- mjj: +- m_jj: max: 19.31 mid: 18.48 min: 17.650000000000002 @@ -15,7 +15,7 @@ bins: max: null mid: 510.0 min: null -- mjj: +- m_jj: max: 23.08 mid: 22.33 min: 21.58 @@ -23,7 +23,7 @@ bins: max: null mid: 510.0 min: null -- mjj: +- m_jj: max: 27.580000000000002 mid: 26.67 min: 25.76 @@ -31,7 +31,7 @@ bins: max: null mid: 510.0 min: null -- mjj: +- m_jj: max: 33.15 mid: 32.16 min: 31.169999999999998 @@ -39,7 +39,7 @@ bins: max: null mid: 510.0 min: null -- mjj: +- m_jj: max: 39.760000000000005 mid: 38.59 min: 37.42 @@ -47,7 +47,7 @@ bins: max: null mid: 510.0 min: null -- mjj: +- m_jj: max: 47.06999999999999 mid: 45.66 min: 44.25 @@ -55,7 +55,7 @@ bins: max: null mid: 510.0 min: null -- mjj: +- m_jj: max: 56.0 mid: 54.49 min: 52.980000000000004 @@ -63,7 +63,7 @@ bins: max: null mid: 510.0 min: null -- mjj: +- m_jj: max: 66.77 mid: 65.02 min: 63.269999999999996 @@ -71,7 +71,7 @@ bins: max: null mid: 510.0 min: null -- mjj: +- m_jj: max: 79.22999999999999 mid: 77.16 min: 75.09 @@ -79,7 +79,7 @@ bins: max: null mid: 510.0 min: null -- mjj: +- m_jj: max: 93.89999999999999 mid: 91.33 min: 88.76 @@ -87,7 +87,7 @@ bins: max: null mid: 510.0 min: null -- mjj: +- m_jj: max: 112.25 mid: 109.2 min: 106.15 @@ -95,7 +95,7 @@ bins: max: null mid: 510.0 min: null -- mjj: +- m_jj: max: 133.2 mid: 129.75 min: 126.3 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_B_510GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_B_510GEV/uncertainties.yaml index f5cdd760f9..1e29298891 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_B_510GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_B_510GEV/uncertainties.yaml @@ -6,255 +6,255 @@ definitions: sys_0: description: 0 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc0 sys_1: description: 1 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc1 sys_2: description: 2 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc2 sys_3: description: 3 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc3 sys_4: description: 4 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc4 sys_5: description: 5 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc5 sys_6: description: 6 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc6 sys_7: description: 7 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc7 sys_8: description: 8 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc8 sys_9: description: 9 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc9 sys_10: description: 10 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc10 sys_11: description: 11 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc11 sys_12: description: 12 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc12 sys_13: description: 13 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc13 sys_14: description: 14 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc14 sys_15: description: 15 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc15 sys_16: description: 16 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc16 sys_17: description: 17 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc17 sys_18: description: 18 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc18 sys_19: description: 19 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc19 sys_20: description: 20 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc20 sys_21: description: 21 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc21 sys_22: description: 22 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc22 sys_23: description: 23 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc23 sys_24: description: 24 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc24 sys_25: description: 25 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc25 sys_26: description: 26 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc26 sys_27: description: 27 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc27 sys_28: description: 28 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc28 sys_29: description: 29 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc29 sys_30: description: 30 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc30 sys_31: description: 31 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc31 sys_32: description: 32 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc32 sys_33: description: 33 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc33 sys_34: description: 34 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc34 sys_35: description: 35 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc35 sys_36: description: 36 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc36 sys_37: description: 37 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc37 sys_38: description: 38 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc38 sys_39: description: 39 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc39 sys_40: description: 40 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc40 sys_41: description: 41 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc41 sys_42: description: 42 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc42 sys_43: description: 43 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc43 sys_44: description: 44 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc44 sys_45: description: 45 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc45 sys_46: description: 46 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc46 sys_47: description: 47 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc47 sys_48: description: 48 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc48 sys_49: description: 49 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc49 sys_50: description: 50 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc50 sys_51: description: 51 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc51 sys_52: description: 52 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc52 sys_53: description: 53 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc53 sys_54: description: 54 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc54 sys_55: description: 55 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc55 sys_56: description: 56 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc56 sys_57: description: 57 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc57 sys_58: description: 58 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc58 sys_59: description: 59 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc59 sys_60: description: 60 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc60 sys_61: description: 61 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc61 sys_62: description: 62 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc62 bins: - sys_0: -4.1525469266539024e-08 sys_1: 2.0171864231284964e-07 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_C_510GEV/kinematics.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_C_510GEV/kinematics.yaml index 1c121f1a75..c11cf4363b 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_C_510GEV/kinematics.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_C_510GEV/kinematics.yaml @@ -1,5 +1,5 @@ bins: -- mjj: +- m_jj: max: 17.26 mid: 15.72 min: 14.18 @@ -7,7 +7,7 @@ bins: max: null mid: 510.0 min: null -- mjj: +- m_jj: max: 19.889999999999997 mid: 18.9 min: 17.91 @@ -15,7 +15,7 @@ bins: max: null mid: 510.0 min: null -- mjj: +- m_jj: max: 23.259999999999998 mid: 22.24 min: 21.22 @@ -23,7 +23,7 @@ bins: max: null mid: 510.0 min: null -- mjj: +- m_jj: max: 28.12 mid: 27.14 min: 26.16 @@ -31,7 +31,7 @@ bins: max: null mid: 510.0 min: null -- mjj: +- m_jj: max: 34.120000000000005 mid: 33.03 min: 31.94 @@ -39,7 +39,7 @@ bins: max: null mid: 510.0 min: null -- mjj: +- m_jj: max: 40.78 mid: 39.35 min: 37.92 @@ -47,7 +47,7 @@ bins: max: null mid: 510.0 min: null -- mjj: +- m_jj: max: 48.16 mid: 46.62 min: 45.08 @@ -55,7 +55,7 @@ bins: max: null mid: 510.0 min: null -- mjj: +- m_jj: max: 57.45 mid: 55.74 min: 54.03 @@ -63,7 +63,7 @@ bins: max: null mid: 510.0 min: null -- mjj: +- m_jj: max: 68.32000000000001 mid: 66.39 min: 64.46 @@ -71,7 +71,7 @@ bins: max: null mid: 510.0 min: null -- mjj: +- m_jj: max: 81.23 mid: 78.97 min: 76.71 @@ -79,7 +79,7 @@ bins: max: null mid: 510.0 min: null -- mjj: +- m_jj: max: 97.07 mid: 94.22 min: 91.37 @@ -87,7 +87,7 @@ bins: max: null mid: 510.0 min: null -- mjj: +- m_jj: max: 114.7 mid: 111.48 min: 108.26 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_C_510GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_C_510GEV/uncertainties.yaml index cfa04db442..1aab75fd81 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_C_510GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_C_510GEV/uncertainties.yaml @@ -6,255 +6,255 @@ definitions: sys_0: description: 0 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc0 sys_1: description: 1 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc1 sys_2: description: 2 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc2 sys_3: description: 3 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc3 sys_4: description: 4 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc4 sys_5: description: 5 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc5 sys_6: description: 6 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc6 sys_7: description: 7 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc7 sys_8: description: 8 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc8 sys_9: description: 9 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc9 sys_10: description: 10 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc10 sys_11: description: 11 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc11 sys_12: description: 12 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc12 sys_13: description: 13 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc13 sys_14: description: 14 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc14 sys_15: description: 15 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc15 sys_16: description: 16 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc16 sys_17: description: 17 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc17 sys_18: description: 18 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc18 sys_19: description: 19 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc19 sys_20: description: 20 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc20 sys_21: description: 21 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc21 sys_22: description: 22 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc22 sys_23: description: 23 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc23 sys_24: description: 24 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc24 sys_25: description: 25 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc25 sys_26: description: 26 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc26 sys_27: description: 27 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc27 sys_28: description: 28 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc28 sys_29: description: 29 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc29 sys_30: description: 30 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc30 sys_31: description: 31 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc31 sys_32: description: 32 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc32 sys_33: description: 33 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc33 sys_34: description: 34 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc34 sys_35: description: 35 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc35 sys_36: description: 36 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc36 sys_37: description: 37 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc37 sys_38: description: 38 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc38 sys_39: description: 39 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc39 sys_40: description: 40 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc40 sys_41: description: 41 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc41 sys_42: description: 42 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc42 sys_43: description: 43 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc43 sys_44: description: 44 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc44 sys_45: description: 45 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc45 sys_46: description: 46 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc46 sys_47: description: 47 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc47 sys_48: description: 48 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc48 sys_49: description: 49 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc49 sys_50: description: 50 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc50 sys_51: description: 51 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc51 sys_52: description: 52 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc52 sys_53: description: 53 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc53 sys_54: description: 54 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc54 sys_55: description: 55 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc55 sys_56: description: 56 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc56 sys_57: description: 57 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc57 sys_58: description: 58 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc58 sys_59: description: 59 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc59 sys_60: description: 60 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc60 sys_61: description: 61 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc61 sys_62: description: 62 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc62 bins: - sys_0: -4.218515531944061e-07 sys_1: 1.2027789348309312e-06 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_D_510GEV/kinematics.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_D_510GEV/kinematics.yaml index b9a9c8476d..1fd76f3d0e 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_D_510GEV/kinematics.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_D_510GEV/kinematics.yaml @@ -1,5 +1,5 @@ bins: -- mjj: +- m_jj: max: 19.349999999999998 mid: 18.2 min: 17.05 @@ -7,7 +7,7 @@ bins: max: null mid: 510.0 min: null -- mjj: +- m_jj: max: 22.71 mid: 21.67 min: 20.630000000000003 @@ -15,7 +15,7 @@ bins: max: null mid: 510.0 min: null -- mjj: +- m_jj: max: 27.16 mid: 26.12 min: 25.080000000000002 @@ -23,7 +23,7 @@ bins: max: null mid: 510.0 min: null -- mjj: +- m_jj: max: 32.440000000000005 mid: 31.42 min: 30.400000000000002 @@ -31,7 +31,7 @@ bins: max: null mid: 510.0 min: null -- mjj: +- m_jj: max: 38.58 mid: 37.33 min: 36.08 @@ -39,7 +39,7 @@ bins: max: null mid: 510.0 min: null -- mjj: +- m_jj: max: 46.11 mid: 44.6 min: 43.09 @@ -47,7 +47,7 @@ bins: max: null mid: 510.0 min: null -- mjj: +- m_jj: max: 55.3 mid: 53.61 min: 51.92 @@ -55,7 +55,7 @@ bins: max: null mid: 510.0 min: null -- mjj: +- m_jj: max: 65.31 mid: 63.38 min: 61.45 @@ -63,7 +63,7 @@ bins: max: null mid: 510.0 min: null -- mjj: +- m_jj: max: 77.78999999999999 mid: 75.52 min: 73.25 @@ -71,7 +71,7 @@ bins: max: null mid: 510.0 min: null -- mjj: +- m_jj: max: 92.3 mid: 89.6 min: 86.89999999999999 @@ -79,7 +79,7 @@ bins: max: null mid: 510.0 min: null -- mjj: +- m_jj: max: 109.83 mid: 106.63 min: 103.42999999999999 @@ -87,7 +87,7 @@ bins: max: null mid: 510.0 min: null -- mjj: +- m_jj: max: 130.99 mid: 127.17 min: 123.35000000000001 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_D_510GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_D_510GEV/uncertainties.yaml index 049db3afe6..78493a2223 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_D_510GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_D_510GEV/uncertainties.yaml @@ -6,255 +6,255 @@ definitions: sys_0: description: 0 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc0 sys_1: description: 1 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc1 sys_2: description: 2 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc2 sys_3: description: 3 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc3 sys_4: description: 4 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc4 sys_5: description: 5 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc5 sys_6: description: 6 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc6 sys_7: description: 7 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc7 sys_8: description: 8 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc8 sys_9: description: 9 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc9 sys_10: description: 10 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc10 sys_11: description: 11 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc11 sys_12: description: 12 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc12 sys_13: description: 13 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc13 sys_14: description: 14 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc14 sys_15: description: 15 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc15 sys_16: description: 16 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc16 sys_17: description: 17 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc17 sys_18: description: 18 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc18 sys_19: description: 19 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc19 sys_20: description: 20 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc20 sys_21: description: 21 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc21 sys_22: description: 22 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc22 sys_23: description: 23 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc23 sys_24: description: 24 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc24 sys_25: description: 25 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc25 sys_26: description: 26 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc26 sys_27: description: 27 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc27 sys_28: description: 28 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc28 sys_29: description: 29 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc29 sys_30: description: 30 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc30 sys_31: description: 31 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc31 sys_32: description: 32 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc32 sys_33: description: 33 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc33 sys_34: description: 34 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc34 sys_35: description: 35 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc35 sys_36: description: 36 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc36 sys_37: description: 37 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc37 sys_38: description: 38 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc38 sys_39: description: 39 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc39 sys_40: description: 40 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc40 sys_41: description: 41 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc41 sys_42: description: 42 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc42 sys_43: description: 43 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc43 sys_44: description: 44 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc44 sys_45: description: 45 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc45 sys_46: description: 46 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc46 sys_47: description: 47 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc47 sys_48: description: 48 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc48 sys_49: description: 49 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc49 sys_50: description: 50 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc50 sys_51: description: 51 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc51 sys_52: description: 52 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc52 sys_53: description: 53 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc53 sys_54: description: 54 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc54 sys_55: description: 55 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc55 sys_56: description: 56 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc56 sys_57: description: 57 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc57 sys_58: description: 58 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc58 sys_59: description: 59 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc59 sys_60: description: 60 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc60 sys_61: description: 61 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc61 sys_62: description: 62 artificial correlated systematics uncertainty treatment: ADD - type: STAR2015 + type: STAR2013JETunc62 bins: - sys_0: -8.802670691481952e-07 sys_1: 2.9027374291159905e-06 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/metadata.yaml index 28ac029853..8fe7c9a23f 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/metadata.yaml @@ -17,7 +17,7 @@ implemented_observables: - observable: { description: "ALL w.r.t. pT", label: "$A_{LL}$", units: "" } observable_name: ALL process_type: JET_POL - ndata: 21 + ndata: 22 tables: [3, 4] npoints: [11, 10] kinematics: diff --git a/validphys2/src/validphys/commondataparser.py b/validphys2/src/validphys/commondataparser.py index dc2df55599..d9e8c7c5f6 100644 --- a/validphys2/src/validphys/commondataparser.py +++ b/validphys2/src/validphys/commondataparser.py @@ -109,6 +109,8 @@ def _quick_yaml_load(filepath): "JET": ("$\\eta$", "$p_T^2 (GeV^2)$", "$\\sqrt{s} (GeV)$"), "PHT": ("$\\eta_\\gamma$", "$E_{T,\\gamma}^2 (GeV^2)$", "$\\sqrt{s} (GeV)$"), "SIA": ("$z$", "$Q^2 (GeV^2)$", "$y$"), + "JET_POL": ("$\\eta$", "$p_T^2 (GeV^2)$", "$\\sqrt{s} (GeV)$"), + "DIJET_POL": ("\\eta", "$\\m_{1,2} (GeV)", "$\\sqrt{s} (GeV)"), } PROCESS_DESCRIPTION_LABEL = { @@ -133,6 +135,8 @@ def _quick_yaml_load(filepath): "EWK_MLL": "Drell-Yan Mass Distribution", "DIJET": "Dijets Invariant Mass and Rapidity Distribution", "DYP": "Fixed-Target Drell-Yan", + "JET_POL": "Longitudinal double-spin asymmetry", + "DIJET_POL": "Longitudinal double-spin asymmetry", } diff --git a/validphys2/src/validphys/filters.py b/validphys2/src/validphys/filters.py index cded762eab..5201f12a8d 100644 --- a/validphys2/src/validphys/filters.py +++ b/validphys2/src/validphys/filters.py @@ -43,6 +43,8 @@ "HQP_PTQ": ("p_TQ", "mu2", "sqrts"), "HIG_RAP": ("y", "M_H2", "sqrts"), "SIA": ("z", "Q2", "y"), + "JET_POL": ("eta", "pT2", "sqrts"), + "DIJET_POL": ("eta", "m_12", "sqrts"), } diff --git a/validphys2/src/validphys/process_options.py b/validphys2/src/validphys/process_options.py index 73435ea92e..6c93a66cc0 100644 --- a/validphys2/src/validphys/process_options.py +++ b/validphys2/src/validphys/process_options.py @@ -233,11 +233,25 @@ def _dywboson_xq2map(kin_dict): DIJET = _Process( "DIJET", - "DiJets Production", + "DiJets production", accepted_variables=(_Vars.ystar, _Vars.m_jj, _Vars.sqrts, _Vars.ydiff), xq2map_function=_dijets_xq2map, ) +JET_POL = _Process( + "JET_POL", + "Longitudinal double-spin asymmetry in inclusive jet production", + accepted_variables=(_Vars.eta, _Vars.pT, _Vars.sqrts), + xq2map_function=_jets_xq2map, +) + +DIJET_POL = _Process( + "DIJET_POL", + "Longitudinal double-spin asymmetry in dijets production", + accepted_variables=(_Vars.m_jj, _Vars.sqrts), + xq2map_function=_dijets_xq2map, +) + HQP_YQ = _Process( "HQP_YQ", "Normalized differential cross section w.r.t. absolute rapidity of t", @@ -287,7 +301,9 @@ def _dywboson_xq2map(kin_dict): "HQP_PTQ": HQP_PTQ, "HERAJET": HERAJET, "HERADIJET": dataclasses.replace(HERAJET, name="HERADIJET", description="DIS + jj production"), - "DY_W_ETA": DY_W_ETA + "DY_W_ETA": DY_W_ETA, + "JET_POL": JET_POL, + "DIJET_POL": DIJET_POL, } From 9d3f3f457684467472dfec2631336420a941f496 Mon Sep 17 00:00:00 2001 From: Toon Hasenack Date: Tue, 23 Apr 2024 14:06:02 +0200 Subject: [PATCH 15/70] Giacomo's suggestions with 1 to go --- .../STAR_2005_1JET_200GEV/data.yaml | 11 + .../filter.py | 6 +- .../STAR_2005_1JET_200GEV/kinematics.yaml | 121 ++++ .../metadata.yaml | 10 +- .../rawdata/Table_14.yaml | 0 .../uncertainties.yaml | 18 - .../STAR_2006_1JET_200GEV/data.yaml | 10 + .../STAR_2006_1JET_200GEV/filter.py | 115 ++++ .../kinematics.yaml | 120 ---- .../STAR_2006_1JET_200GEV/metadata.yaml | 52 ++ .../rawdata/Table_15.yaml | 0 .../STAR_2006_1JET_200GEV/uncertainties.yaml | 28 + .../data.yaml | 0 .../filter.py | 46 +- .../kinematics.yaml | 132 ++-- .../metadata.yaml | 8 +- .../rawdata/Table_3_ALL.csv | 0 .../rawdata/Table_3_pT.csv | 0 .../rawdata/Table_4_ALL.csv | 0 .../rawdata/Table_4_pT.csv | 0 .../rawdata/Table_5.csv | 0 .../STAR_2009_1JET_200GEV/uncertainties.yaml | 574 ++++++++++++++++ .../STAR_2012_1JET_200GEV/data.yaml | 20 - .../STAR_2015_1JET_200GEV/uncertainties.yaml | 626 ------------------ 24 files changed, 1004 insertions(+), 893 deletions(-) create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2005_1JET_200GEV/data.yaml rename nnpdf_data/nnpdf_data/new_commondata/{STAR_2012_1JET_200GEV => STAR_2005_1JET_200GEV}/filter.py (95%) create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2005_1JET_200GEV/kinematics.yaml rename nnpdf_data/nnpdf_data/new_commondata/{STAR_2012_1JET_200GEV => STAR_2005_1JET_200GEV}/metadata.yaml (90%) rename nnpdf_data/nnpdf_data/new_commondata/{STAR_2012_1JET_200GEV => STAR_2005_1JET_200GEV}/rawdata/Table_14.yaml (100%) rename nnpdf_data/nnpdf_data/new_commondata/{STAR_2012_1JET_200GEV => STAR_2005_1JET_200GEV}/uncertainties.yaml (60%) create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2006_1JET_200GEV/data.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2006_1JET_200GEV/filter.py rename nnpdf_data/nnpdf_data/new_commondata/{STAR_2012_1JET_200GEV => STAR_2006_1JET_200GEV}/kinematics.yaml (50%) create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2006_1JET_200GEV/metadata.yaml rename nnpdf_data/nnpdf_data/new_commondata/{STAR_2012_1JET_200GEV => STAR_2006_1JET_200GEV}/rawdata/Table_15.yaml (100%) create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2006_1JET_200GEV/uncertainties.yaml rename nnpdf_data/nnpdf_data/new_commondata/{STAR_2015_1JET_200GEV => STAR_2009_1JET_200GEV}/data.yaml (100%) rename nnpdf_data/nnpdf_data/new_commondata/{STAR_2015_1JET_200GEV => STAR_2009_1JET_200GEV}/filter.py (74%) rename nnpdf_data/nnpdf_data/new_commondata/{STAR_2015_1JET_200GEV => STAR_2009_1JET_200GEV}/kinematics.yaml (74%) rename nnpdf_data/nnpdf_data/new_commondata/{STAR_2015_1JET_200GEV => STAR_2009_1JET_200GEV}/metadata.yaml (94%) rename nnpdf_data/nnpdf_data/new_commondata/{STAR_2015_1JET_200GEV => STAR_2009_1JET_200GEV}/rawdata/Table_3_ALL.csv (100%) rename nnpdf_data/nnpdf_data/new_commondata/{STAR_2015_1JET_200GEV => STAR_2009_1JET_200GEV}/rawdata/Table_3_pT.csv (100%) rename nnpdf_data/nnpdf_data/new_commondata/{STAR_2015_1JET_200GEV => STAR_2009_1JET_200GEV}/rawdata/Table_4_ALL.csv (100%) rename nnpdf_data/nnpdf_data/new_commondata/{STAR_2015_1JET_200GEV => STAR_2009_1JET_200GEV}/rawdata/Table_4_pT.csv (100%) rename nnpdf_data/nnpdf_data/new_commondata/{STAR_2015_1JET_200GEV => STAR_2009_1JET_200GEV}/rawdata/Table_5.csv (100%) create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/uncertainties.yaml delete mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_200GEV/data.yaml delete mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/uncertainties.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2005_1JET_200GEV/data.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2005_1JET_200GEV/data.yaml new file mode 100644 index 0000000000..b5bc5e2f36 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2005_1JET_200GEV/data.yaml @@ -0,0 +1,11 @@ +data_central: +- 0.0053 +- -0.00275 +- 0.0023 +- 0.01465 +- -0.00625 +- 0.0031000000000000003 +- -0.0142 +- -0.0522 +- 0.0569 +- 0.147 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_200GEV/filter.py b/nnpdf_data/nnpdf_data/new_commondata/STAR_2005_1JET_200GEV/filter.py similarity index 95% rename from nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_200GEV/filter.py rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2005_1JET_200GEV/filter.py index a4fe2af75e..b31a0748fc 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_200GEV/filter.py +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2005_1JET_200GEV/filter.py @@ -2,8 +2,10 @@ import pandas as pd import yaml +import sys -from nnpdf_data.filter_utils.uncertainties import symmetrize_errors as se +sys.path.append('../../') +from filter_utils.uncertainties import symmetrize_errors as se def read_data(fnames): @@ -48,7 +50,7 @@ def read_data(fnames): ignore_index=True, ) for i in range(len(df)): - shift, unc = symmetrize_errors(df.loc[i, "sys_max"], df.loc[i, "sys_min"]) + shift, unc = se(df.loc[i, "sys_max"], df.loc[i, "sys_min"]) df.loc[i, "sys"] = unc df.loc[i, "ALL"] += shift diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2005_1JET_200GEV/kinematics.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2005_1JET_200GEV/kinematics.yaml new file mode 100644 index 0000000000..c0c8b17dfd --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2005_1JET_200GEV/kinematics.yaml @@ -0,0 +1,121 @@ +bins: +- pT: + min: 4.9 + mid: 5.3 + max: 5.7 + sqrts: + min: null + mid: 200.0 + max: null + eta: + min: 0.2 + mid: 0.5 + max: 0.8 +- pT: + min: 5.9 + mid: 6.3 + max: 6.8 + sqrts: + min: null + mid: 200.0 + max: null + eta: + min: 0.2 + mid: 0.5 + max: 0.8 +- pT: + min: 6.7 + mid: 7.1 + max: 7.7 + sqrts: + min: null + mid: 200.0 + max: null + eta: + min: 0.2 + mid: 0.5 + max: 0.8 +- pT: + min: 8.1 + mid: 8.7 + max: 9.4 + sqrts: + min: null + mid: 200.0 + max: null + eta: + min: 0.2 + mid: 0.5 + max: 0.8 +- pT: + min: 10.0 + mid: 10.7 + max: 11.5 + sqrts: + min: null + mid: 200.0 + max: null + eta: + min: 0.2 + mid: 0.5 + max: 0.8 +- pT: + min: 12.3 + mid: 13.1 + max: 14.0 + sqrts: + min: null + mid: 200.0 + max: null + eta: + min: 0.2 + mid: 0.5 + max: 0.8 +- pT: + min: 15.2 + mid: 16.0 + max: 17.0 + sqrts: + min: null + mid: 200.0 + max: null + eta: + min: 0.2 + mid: 0.5 + max: 0.8 +- pT: + min: 18.4 + mid: 19.4 + max: 20.7 + sqrts: + min: null + mid: 200.0 + max: null + eta: + min: 0.2 + mid: 0.5 + max: 0.8 +- pT: + min: 22.4 + mid: 23.6 + max: 25.1 + sqrts: + min: null + mid: 200.0 + max: null + eta: + min: 0.2 + mid: 0.5 + max: 0.8 +- pT: + min: 26.7 + mid: 28.1 + max: 29.9 + sqrts: + min: null + mid: 200.0 + max: null + eta: + min: 0.2 + mid: 0.5 + max: 0.8 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2005_1JET_200GEV/metadata.yaml similarity index 90% rename from nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_200GEV/metadata.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2005_1JET_200GEV/metadata.yaml index ca0b772dbe..aa7892ff86 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_200GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2005_1JET_200GEV/metadata.yaml @@ -1,4 +1,4 @@ -setname: "STAR_2012_1JET_200GEV" +setname: "STAR_2005_1JET_200GEV" nnpdf_metadata: experiment: "STAR" @@ -17,9 +17,9 @@ implemented_observables: - observable: { description: "ALL w.r.t. pT", label: "$A_{LL}$", units: "" } observable_name: ALL process_type: JET_POL - ndata: 19 - tables: [14, 15] - npoints: [10, 9] + ndata: 10 + tables: [14] + npoints: [10] kinematics: variables: pT: @@ -49,4 +49,4 @@ implemented_observables: y_label: "$A_{LL}$" theory: FK_tables: - - - STAR_2012_1JET_200GEV_ALL + - - STAR_2005_1JET_200GEV_ALL diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_200GEV/rawdata/Table_14.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2005_1JET_200GEV/rawdata/Table_14.yaml similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_200GEV/rawdata/Table_14.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2005_1JET_200GEV/rawdata/Table_14.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_200GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2005_1JET_200GEV/uncertainties.yaml similarity index 60% rename from nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_200GEV/uncertainties.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2005_1JET_200GEV/uncertainties.yaml index deef3a4deb..8c448e3378 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_200GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2005_1JET_200GEV/uncertainties.yaml @@ -28,21 +28,3 @@ bins: sys: 0.0040999999999999995 - stat: 0.138 sys: 0.004908156476723211 -- stat: 0.0053 - sys: 0.00331058907144937 -- stat: 0.0043 - sys: 0.002011839953873071 -- stat: 0.0040999999999999995 - sys: 0.002011839953873071 -- stat: 0.0045000000000000005 - sys: 0.001366565036871645 -- stat: 0.0058 - sys: 0.0011521718621802911 -- stat: 0.0088 - sys: 0.0015898113095584648 -- stat: 0.0154 - sys: 0.0033537292675468 -- stat: 0.031 - sys: 0.004576843890717707 -- stat: 0.0706 - sys: 0.005853204250664759 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2006_1JET_200GEV/data.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2006_1JET_200GEV/data.yaml new file mode 100644 index 0000000000..9a5cd41d27 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2006_1JET_200GEV/data.yaml @@ -0,0 +1,10 @@ +data_central: +- 0.0033 +- 0.00365 +- 0.01025 +- 0.00135 +- 0.00925 +- 0.02595 +- 0.026850000000000002 +- 0.02375 +- 0.0139 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2006_1JET_200GEV/filter.py b/nnpdf_data/nnpdf_data/new_commondata/STAR_2006_1JET_200GEV/filter.py new file mode 100644 index 0000000000..b31a0748fc --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2006_1JET_200GEV/filter.py @@ -0,0 +1,115 @@ +import glob + +import pandas as pd +import yaml +import sys + +sys.path.append('../../') +from filter_utils.uncertainties import symmetrize_errors as se + + +def read_data(fnames): + df = pd.DataFrame() + for fname in fnames: + with open(fname, "r") as file: + data = yaml.safe_load(file) + if "14" in fname: + eta_min = 0.2 + eta_max = 0.8 + + elif "15" in fname: + eta_min = -0.7 + eta_max = 0.9 + + else: + print("ERROR: Unknown table number detected! Check input files.") + + pTsub = data["independent_variables"][0]["values"] + ALLsub = data["dependent_variables"][0]["values"] + + for i in range(len(ALLsub)): + df = pd.concat( + [ + df, + pd.DataFrame( + { + "pT": [pTsub[i]["value"]], + "pTmin": [pTsub[i]["low"]], + "pTmax": [pTsub[i]["high"]], + "eta": [(eta_min + eta_max) / 2], + "eta_min": [eta_min], + "eta_max": [eta_max], + "sqrts": [200], + "ALL": [ALLsub[i]["value"] * 1e-3], + "stat": [ALLsub[i]["errors"]["symerror"]["value"] * 1e-3], + "sys_min": [ALLsub[i]["errors"]["asymerror"]["minus"] * 1e-3], + "sys_max": [ALLsub[i]["errors"]["asymerror"]["plus"] * 1e-3], + } + ), + ], + ignore_index=True, + ) + for i in range(len(df)): + shift, unc = se(df.loc[i, "sys_max"], df.loc[i, "sys_min"]) + df.loc[i, "sys"] = unc + df.loc[i, "ALL"] += shift + + return df + + +def write_data(df): + data_central = [] + for i in range(len(df["ALL"])): + data_central.append(float(df.loc[i, "ALL"])) + + data_central_yaml = {"data_central": data_central} + with open("data.yaml", "w") as file: + yaml.dump(data_central_yaml, file, sort_keys=False) + + # Write kin file + kin = [] + for i in range(len(df["ALL"])): + kin_value = { + "pT": { + "min": float(df.loc[i, "pTmin"]), + "mid": float(df.loc[i, "pT"]), + "max": float(df.loc[i, "pTmax"]), + }, + "sqrts": {"min": None, "mid": float(df.loc[i, "sqrts"]), "max": None}, + "eta": { + "min": float(df.loc[i, "eta_min"]), + "mid": float(df.loc[i, "eta"]), + "max": float(df.loc[i, "eta_max"]), + }, + } + kin.append(kin_value) + + kinematics_yaml = {"bins": kin} + + with open("kinematics.yaml", "w") as file: + yaml.dump(kinematics_yaml, file, sort_keys=False) + + # Write unc file + error = [] + for i in range(len(df)): + e = {"stat": float(df.loc[i, "stat"]), "sys": float(df.loc[i, "sys"])} + error.append(e) + + error_definition = { + "stat": {"description": "statistical uncertainty", "treatment": "ADD", "type": "UNCORR"}, + "sys": {"description": "systematic uncertainty", "treatment": "ADD", "type": "UNCORR"}, + } + + uncertainties_yaml = {"definitions": error_definition, "bins": error} + + with open("uncertainties.yaml", "w") as file: + yaml.dump(uncertainties_yaml, file, sort_keys=False) + + +if __name__ == "__main__": + # TODO: Need to generate `observable` cards and corresponding + # pineappl grids and FK tables as the orders have changed!!!! + fnames = glob.glob("rawdata/*.yaml") + nnames = sorted([i for i in fnames]) + df = read_data(nnames) + write_data(df) diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_200GEV/kinematics.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2006_1JET_200GEV/kinematics.yaml similarity index 50% rename from nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_200GEV/kinematics.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2006_1JET_200GEV/kinematics.yaml index f183806bd3..b9f422549d 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_200GEV/kinematics.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2006_1JET_200GEV/kinematics.yaml @@ -1,124 +1,4 @@ bins: -- pT: - min: 4.9 - mid: 5.3 - max: 5.7 - sqrts: - min: null - mid: 200.0 - max: null - eta: - min: 0.2 - mid: 0.5 - max: 0.8 -- pT: - min: 5.9 - mid: 6.3 - max: 6.8 - sqrts: - min: null - mid: 200.0 - max: null - eta: - min: 0.2 - mid: 0.5 - max: 0.8 -- pT: - min: 6.7 - mid: 7.1 - max: 7.7 - sqrts: - min: null - mid: 200.0 - max: null - eta: - min: 0.2 - mid: 0.5 - max: 0.8 -- pT: - min: 8.1 - mid: 8.7 - max: 9.4 - sqrts: - min: null - mid: 200.0 - max: null - eta: - min: 0.2 - mid: 0.5 - max: 0.8 -- pT: - min: 10.0 - mid: 10.7 - max: 11.5 - sqrts: - min: null - mid: 200.0 - max: null - eta: - min: 0.2 - mid: 0.5 - max: 0.8 -- pT: - min: 12.3 - mid: 13.1 - max: 14.0 - sqrts: - min: null - mid: 200.0 - max: null - eta: - min: 0.2 - mid: 0.5 - max: 0.8 -- pT: - min: 15.2 - mid: 16.0 - max: 17.0 - sqrts: - min: null - mid: 200.0 - max: null - eta: - min: 0.2 - mid: 0.5 - max: 0.8 -- pT: - min: 18.4 - mid: 19.4 - max: 20.7 - sqrts: - min: null - mid: 200.0 - max: null - eta: - min: 0.2 - mid: 0.5 - max: 0.8 -- pT: - min: 22.4 - mid: 23.6 - max: 25.1 - sqrts: - min: null - mid: 200.0 - max: null - eta: - min: 0.2 - mid: 0.5 - max: 0.8 -- pT: - min: 26.7 - mid: 28.1 - max: 29.9 - sqrts: - min: null - mid: 200.0 - max: null - eta: - min: 0.2 - mid: 0.5 - max: 0.8 - pT: min: 7.8 mid: 8.5 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2006_1JET_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2006_1JET_200GEV/metadata.yaml new file mode 100644 index 0000000000..b8dfe98236 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2006_1JET_200GEV/metadata.yaml @@ -0,0 +1,52 @@ +setname: "STAR_2006_1JET_200GEV" + +nnpdf_metadata: + experiment: "STAR" + nnpdf31_process: "JETS" + +iNSPIRE: + url: "https://inspirehep.net/literature/1114529" +hepdata: + url: "https://www.hepdata.net/record/ins1114529" + version: 1 + +version: 1 +version_comment: "Initial implementation" + +implemented_observables: + - observable: { description: "ALL w.r.t. pT", label: "$A_{LL}$", units: "" } + observable_name: ALL + process_type: JET_POL + ndata: 9 + tables: [15] + npoints: [9] + kinematics: + variables: + pT: + { + description: "mean transverse momentum", + label: '$\langle pT \rangle$', + units: "$GeV$", + } + sqrts: + { + description: "center of mass energy", + label: '$\sqrt{s}$', + units: "$GeV$", + } + eta: { description: "pseudorapidity", label: '$\eta$', units: "" } + + file: kinematics.yaml + data_central: data.yaml + data_uncertainties: + - uncertainties.yaml + kinematic_coverage: [pT, sqrts, eta] + plotting: + kinematics_override: identity + dataset_label: "$A_{LL}$" + plot_x: pT + x_scale: log + y_label: "$A_{LL}$" + theory: + FK_tables: + - - STAR_2006_1JET_200GEV_ALL diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_200GEV/rawdata/Table_15.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2006_1JET_200GEV/rawdata/Table_15.yaml similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_200GEV/rawdata/Table_15.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2006_1JET_200GEV/rawdata/Table_15.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2006_1JET_200GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2006_1JET_200GEV/uncertainties.yaml new file mode 100644 index 0000000000..ad0bdfe9d1 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2006_1JET_200GEV/uncertainties.yaml @@ -0,0 +1,28 @@ +definitions: + stat: + description: statistical uncertainty + treatment: ADD + type: UNCORR + sys: + description: systematic uncertainty + treatment: ADD + type: UNCORR +bins: +- stat: 0.0053 + sys: 0.00331058907144937 +- stat: 0.0043 + sys: 0.002011839953873071 +- stat: 0.0040999999999999995 + sys: 0.002011839953873071 +- stat: 0.0045000000000000005 + sys: 0.001366565036871645 +- stat: 0.0058 + sys: 0.0011521718621802911 +- stat: 0.0088 + sys: 0.0015898113095584648 +- stat: 0.0154 + sys: 0.0033537292675468 +- stat: 0.031 + sys: 0.004576843890717707 +- stat: 0.0706 + sys: 0.005853204250664759 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/data.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/data.yaml similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/data.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/data.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/filter.py b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/filter.py similarity index 74% rename from nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/filter.py rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/filter.py index 3801674e29..98c4fc95ff 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/filter.py +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/filter.py @@ -2,9 +2,10 @@ import pandas as pd import yaml +import sys -from nnpdf_data.filter_utils.uncertainties import symmetrize_errors -from nnpdf_data.filter_utils.correlations import compute_covmat +sys.path.append('../../') +from filter_utils.correlations import compute_covmat def read_data(fnames): @@ -24,9 +25,8 @@ def read_data(fnames): df3["sys_min"] = dfi["sys +"] df3["sys_max"] = dfi["sys -"] - df3["eta_min"] = -0.5 - df3["eta_max"] = 0.5 - df3["eta"] = 0.0 + df3["abs_eta_min"] = 0.0 + df3["abs_eta_max"] = 0.5 df3["sqrts"] = 200 elif "4" in fname: @@ -42,9 +42,8 @@ def read_data(fnames): df4["sys_min"] = dfi["sys +"] df4["sys_max"] = dfi["sys -"] - df4["eta_min"] = -1.0 - df4["eta_max"] = 1.0 - df4["eta"] = 0.0 + df4["abs_eta_min"] = 0.5 + df4["abs_eta_max"] = 1.0 df4["sqrts"] = 200 elif "5" in fname: @@ -68,14 +67,8 @@ def read_data(fnames): df = pd.concat([df3, df4], ignore_index=True) for i in range(len(df)): - shift, unc = symmetrize_errors(df.loc[i, "stat_max"], df.loc[i, "stat_min"]) - df.loc[i, "stat"] = unc - df.loc[i, "ALL"] += shift - - shift, unc = symmetrize_errors(df.loc[i, "sys_max"], df.loc[i, "sys_min"]) - df.loc[i, "sys"] = unc - df.loc[i, "ALL"] += shift - + df.loc[i, "stat"] = df.loc[i, "stat_max"] + df.loc[i, "sys"] = df.loc[i, "sys_max"] return df, dfc @@ -98,10 +91,10 @@ def write_data(df, dfc): kin_value = { "pT": {"min": None, "mid": float(df.loc[i, "pT"]), "max": None}, "sqrts": {"min": None, "mid": float(df.loc[i, "sqrts"]), "max": None}, - "eta": { - "min": float(df.loc[i, "eta_min"]), - "mid": float(df.loc[i, "eta"]), - "max": float(df.loc[i, "eta_max"]), + "abs_eta": { + "min": float(df.loc[i, "abs_eta_min"]), + "mid": None, + "max": float(df.loc[i, "abs_eta_max"]), }, } kin.append(kin_value) @@ -114,7 +107,7 @@ def write_data(df, dfc): # Write unc file error = [] for i in range(len(df)): - e = {"stat": float(df.loc[i, "stat"]), "sys": float(df.loc[i, "sys"])} + e = {} for j in range(len(df)): e[f"sys_{j}"] = art_sys[i][j] error.append(e) @@ -128,17 +121,6 @@ def write_data(df, dfc): for i in range(len(df)) } - error_definition.update( - { - "stat": { - "description": "statistical uncertainty", - "treatment": "ADD", - "type": "UNCORR", - }, - "sys": {"description": "systematic uncertainty", "treatment": "ADD", "type": "UNCORR"}, - } - ) - uncertainties_yaml = {"definitions": error_definition, "bins": error} with open("uncertainties.yaml", "w") as file: diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/kinematics.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/kinematics.yaml similarity index 74% rename from nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/kinematics.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/kinematics.yaml index 36d1079c95..6cf872824d 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/kinematics.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/kinematics.yaml @@ -7,9 +7,9 @@ bins: min: null mid: 200.0 max: null - eta: - min: -0.5 - mid: 0.0 + abs_eta: + min: 0.0 + mid: null max: 0.5 - pT: min: null @@ -19,9 +19,9 @@ bins: min: null mid: 200.0 max: null - eta: - min: -0.5 - mid: 0.0 + abs_eta: + min: 0.0 + mid: null max: 0.5 - pT: min: null @@ -31,9 +31,9 @@ bins: min: null mid: 200.0 max: null - eta: - min: -0.5 - mid: 0.0 + abs_eta: + min: 0.0 + mid: null max: 0.5 - pT: min: null @@ -43,9 +43,9 @@ bins: min: null mid: 200.0 max: null - eta: - min: -0.5 - mid: 0.0 + abs_eta: + min: 0.0 + mid: null max: 0.5 - pT: min: null @@ -55,9 +55,9 @@ bins: min: null mid: 200.0 max: null - eta: - min: -0.5 - mid: 0.0 + abs_eta: + min: 0.0 + mid: null max: 0.5 - pT: min: null @@ -67,9 +67,9 @@ bins: min: null mid: 200.0 max: null - eta: - min: -0.5 - mid: 0.0 + abs_eta: + min: 0.0 + mid: null max: 0.5 - pT: min: null @@ -79,9 +79,9 @@ bins: min: null mid: 200.0 max: null - eta: - min: -0.5 - mid: 0.0 + abs_eta: + min: 0.0 + mid: null max: 0.5 - pT: min: null @@ -91,9 +91,9 @@ bins: min: null mid: 200.0 max: null - eta: - min: -0.5 - mid: 0.0 + abs_eta: + min: 0.0 + mid: null max: 0.5 - pT: min: null @@ -103,9 +103,9 @@ bins: min: null mid: 200.0 max: null - eta: - min: -0.5 - mid: 0.0 + abs_eta: + min: 0.0 + mid: null max: 0.5 - pT: min: null @@ -115,9 +115,9 @@ bins: min: null mid: 200.0 max: null - eta: - min: -0.5 - mid: 0.0 + abs_eta: + min: 0.0 + mid: null max: 0.5 - pT: min: null @@ -127,9 +127,9 @@ bins: min: null mid: 200.0 max: null - eta: - min: -0.5 - mid: 0.0 + abs_eta: + min: 0.0 + mid: null max: 0.5 - pT: min: null @@ -139,9 +139,9 @@ bins: min: null mid: 200.0 max: null - eta: - min: -1.0 - mid: 0.0 + abs_eta: + min: 0.5 + mid: null max: 1.0 - pT: min: null @@ -151,9 +151,9 @@ bins: min: null mid: 200.0 max: null - eta: - min: -1.0 - mid: 0.0 + abs_eta: + min: 0.5 + mid: null max: 1.0 - pT: min: null @@ -163,9 +163,9 @@ bins: min: null mid: 200.0 max: null - eta: - min: -1.0 - mid: 0.0 + abs_eta: + min: 0.5 + mid: null max: 1.0 - pT: min: null @@ -175,9 +175,9 @@ bins: min: null mid: 200.0 max: null - eta: - min: -1.0 - mid: 0.0 + abs_eta: + min: 0.5 + mid: null max: 1.0 - pT: min: null @@ -187,9 +187,9 @@ bins: min: null mid: 200.0 max: null - eta: - min: -1.0 - mid: 0.0 + abs_eta: + min: 0.5 + mid: null max: 1.0 - pT: min: null @@ -199,9 +199,9 @@ bins: min: null mid: 200.0 max: null - eta: - min: -1.0 - mid: 0.0 + abs_eta: + min: 0.5 + mid: null max: 1.0 - pT: min: null @@ -211,9 +211,9 @@ bins: min: null mid: 200.0 max: null - eta: - min: -1.0 - mid: 0.0 + abs_eta: + min: 0.5 + mid: null max: 1.0 - pT: min: null @@ -223,9 +223,9 @@ bins: min: null mid: 200.0 max: null - eta: - min: -1.0 - mid: 0.0 + abs_eta: + min: 0.5 + mid: null max: 1.0 - pT: min: null @@ -235,9 +235,9 @@ bins: min: null mid: 200.0 max: null - eta: - min: -1.0 - mid: 0.0 + abs_eta: + min: 0.5 + mid: null max: 1.0 - pT: min: null @@ -247,9 +247,9 @@ bins: min: null mid: 200.0 max: null - eta: - min: -1.0 - mid: 0.0 + abs_eta: + min: 0.5 + mid: null max: 1.0 - pT: min: null @@ -259,7 +259,7 @@ bins: min: null mid: 200.0 max: null - eta: - min: -1.0 - mid: 0.0 + abs_eta: + min: 0.5 + mid: null max: 1.0 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/metadata.yaml similarity index 94% rename from nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/metadata.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/metadata.yaml index 8fe7c9a23f..48ee1f0637 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/metadata.yaml @@ -1,13 +1,13 @@ -setname: "STAR_2015_1JET_200GEV" +setname: "STAR_2009_1JET_200GEV" nnpdf_metadata: experiment: "STAR" nnpdf31_process: "JETS" iNSPIRE: - url: "https://www.hepdata.net/record/ins1297229" -hepdata: url: "https://inspirehep.net/literature/1297229" +hepdata: + url: "https://www.hepdata.net/record/ins1297229" version: 1 version: 1 @@ -49,4 +49,4 @@ implemented_observables: y_label: "$A_{LL}$" theory: FK_tables: - - - STAR_2015_1JET_200GEV_ALL + - - STAR_2009_1JET_200GEV_ALL diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table_3_ALL.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/rawdata/Table_3_ALL.csv similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table_3_ALL.csv rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/rawdata/Table_3_ALL.csv diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table_3_pT.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/rawdata/Table_3_pT.csv similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table_3_pT.csv rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/rawdata/Table_3_pT.csv diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table_4_ALL.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/rawdata/Table_4_ALL.csv similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table_4_ALL.csv rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/rawdata/Table_4_ALL.csv diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table_4_pT.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/rawdata/Table_4_pT.csv similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table_4_pT.csv rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/rawdata/Table_4_pT.csv diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table_5.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/rawdata/Table_5.csv similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table_5.csv rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/rawdata/Table_5.csv diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/uncertainties.yaml new file mode 100644 index 0000000000..74bd2bd5f8 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/uncertainties.yaml @@ -0,0 +1,574 @@ +definitions: + sys_0: + description: 0 artificial correlated statistical uncertainty + treatment: ADD + type: CORR + sys_1: + description: 1 artificial correlated statistical uncertainty + treatment: ADD + type: CORR + sys_2: + description: 2 artificial correlated statistical uncertainty + 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statistical uncertainty + treatment: ADD + type: CORR + sys_13: + description: 13 artificial correlated statistical uncertainty + treatment: ADD + type: CORR + sys_14: + description: 14 artificial correlated statistical uncertainty + treatment: ADD + type: CORR + sys_15: + description: 15 artificial correlated statistical uncertainty + treatment: ADD + type: CORR + sys_16: + description: 16 artificial correlated statistical uncertainty + treatment: ADD + type: CORR + sys_17: + description: 17 artificial correlated statistical uncertainty + treatment: ADD + type: CORR + sys_18: + description: 18 artificial correlated statistical uncertainty + treatment: ADD + type: CORR + sys_19: + description: 19 artificial correlated statistical uncertainty + treatment: ADD + type: CORR + sys_20: + description: 20 artificial correlated statistical uncertainty + treatment: ADD + type: CORR + sys_21: + description: 21 artificial correlated statistical uncertainty + treatment: ADD + type: CORR +bins: +- 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2 +- .../STAR_2013_2JET_A_510GEV/metadata.yaml | 2 +- .../STAR_2013_2JET_B_510GEV/metadata.yaml | 2 +- .../STAR_2013_2JET_C_510GEV/metadata.yaml | 2 +- .../STAR_2013_2JET_D_510GEV/metadata.yaml | 2 +- 9 files changed, 347 insertions(+), 20 deletions(-) create mode 100644 nnpdf_data/nnpdf_data/filter_utils/manipulate.py rename nnpdf_data/nnpdf_data/filter_utils/{star_2013_510gev.py => star/jet_dijet_2013_510gev.py} (95%) create mode 100644 nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2015_200gev.py diff --git a/nnpdf_data/nnpdf_data/filter_utils/correlations.py b/nnpdf_data/nnpdf_data/filter_utils/correlations.py index 8589fd1c6c..6f01f09bc1 100644 --- a/nnpdf_data/nnpdf_data/filter_utils/correlations.py +++ b/nnpdf_data/nnpdf_data/filter_utils/correlations.py @@ -2,6 +2,18 @@ from numpy.linalg import eig +def upper_triangular_to_symmetric(ut, dim): + """Build a symmetric matrix from the upper diagonal""" + corr = np.zeros((dim, dim)) + last = dim + first = 0 + for i in range(dim): + corr[i, i:] = ut[first:last] + last += dim - i - 1 + first += dim - i + return corr + corr.T - np.eye(dim) + + def compute_covmat(corrmat: np.ndarray, unc: np.ndarray, ndata: int) -> list: """Compute the covariance matrix with the artificial stat uncertainties.""" # multiply by stat err diff --git a/nnpdf_data/nnpdf_data/filter_utils/manipulate.py b/nnpdf_data/nnpdf_data/filter_utils/manipulate.py new file mode 100644 index 0000000000..4fd31eae71 --- /dev/null +++ b/nnpdf_data/nnpdf_data/filter_utils/manipulate.py @@ -0,0 +1,21 @@ + +def concatenate_dicts(multidict: list[dict]) -> dict: + """Given a list of dictionaries combined the values. + + Parameters + ---------- + multidict: list[dict] + list of dictionaries with the same keys + + Returns + ------- + dict: + dictionary whose keys are combined + """ + new_dict = {} + for key in multidict[0].keys(): + new_dict[key] = [] + for element in multidict: + new_dict[key] += element[key] + + return new_dict \ No newline at end of file diff --git a/nnpdf_data/nnpdf_data/filter_utils/star_2013_510gev.py b/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2013_510gev.py similarity index 95% rename from nnpdf_data/nnpdf_data/filter_utils/star_2013_510gev.py rename to nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2013_510gev.py index 8b68deba25..92c8b15efb 100644 --- a/nnpdf_data/nnpdf_data/filter_utils/star_2013_510gev.py +++ b/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2013_510gev.py @@ -3,17 +3,18 @@ """ import pathlib -from correlations import compute_covmat import numpy as np import pandas as pd import yaml +from nnpdf_data.filter_utils.correlations import compute_covmat, upper_triangular_to_symmetric + # values from the paper https://arxiv.org/pdf/2110.11020.pdf SQRTS = 510 ETA_ABS = 0.9 TOPOPLOGY_LIST = ["1JET", "A", "B", "C", "D"] -HERE = pathlib.Path(__file__).parents[1] +HERE = pathlib.Path(__file__).parents[2] RAWDATA_PATH = HERE / "new_commondata/STAR_2013_1JET_510GEV/rawdata/" @@ -79,18 +80,6 @@ def get_correlation_label(a): return f"Dijettopology{a}" -def upper_triangular_to_symmetric(ut, dim): - """Build a symmetric matrix from the upper diagonal""" - corr = np.zeros((dim, dim)) - last = dim - first = 0 - for i in range(dim): - corr[i, i:] = ut[first:last] - last += dim - i - 1 - first += dim - i - return corr + corr.T - np.eye(dim) - - def read_correlations(ndata_dict): """Read the correlation files and build a big matix""" corr_rows = [] @@ -260,7 +249,6 @@ def write_2jet_data(df, topology, art_sys): correlated_unc.extend(dfs[a]["syst"].values) ndata_points = np.sum((*ndata_dict.values(),)) # decompose uncertainties - # TODO: how come this is not yet block diagonal?? art_sys = np.array(compute_covmat(correlation_df, correlated_unc, ndata_points)) # write data diff --git a/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2015_200gev.py b/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2015_200gev.py new file mode 100644 index 0000000000..2beb5911d1 --- /dev/null +++ b/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2015_200gev.py @@ -0,0 +1,306 @@ +"""This script provides the common filer to the jet and dijet STAR 2015 datasets. +Files need to be parsed all together as there are correlations provided. +""" +import pathlib + +import numpy as np +import pandas as pd +import yaml + +from nnpdf_data.filter_utils.correlations import compute_covmat, upper_triangular_to_symmetric + +# values from the paper +SQRTS = 200 +YEAR = 2015 +# mapping between topologies, tables and abs_eta values +TOPOPLOGY_LIST = { + "CC": ("bottom", 0, 0.5), + "CF": ("top", 0.5, 1.0), + "OS": "bottom", + "SS": "top", +} + +# mapping between correlations blocks and tables +MAP_CORR_TABLE = { + ("CC", "CC"): 2, + ("CC", "CF"): 4, + ("CC", "OS"): 8, + ("CC", "SS"): 7, + ("CF", "CF"): 1, + ("CF", "OS"): 6, + ("CF", "SS"): 5, + ("OS", "OS"): 12, + ("OS", "SS"): 13, + ("SS", "SS"): 11, +} + +HERE = pathlib.Path(__file__).parents[2] +RAWDATA_PATH = HERE / f"new_commondata/STAR_{YEAR}_1JET_{SQRTS}GEV/rawdata/" + + +def read_1jet_data(topology): + table_label = TOPOPLOGY_LIST[topology][0] + max_eta = TOPOPLOGY_LIST[topology][2] + min_eta = TOPOPLOGY_LIST[topology][1] + data_table = pathlib.Path(RAWDATA_PATH / f"Table1{table_label}.csv") + + with open(data_table, "r", encoding="utf-8") as file: + parton_jet_data = pd.read_csv( + file, delimiter=",", skiprows=lambda x: (x <= 6 or x >= 20) + ) + with open(data_table, "r", encoding="utf-8") as file: + all_data = pd.read_csv(file, delimiter=",", skiprows=21) + + df = pd.DataFrame() + df["pT"] = parton_jet_data[ + r"Inclusive jet transverse momentum $p_T$ at the parton level [GeV/$c$]" + ] + df["pT_min"] = df["pT"] + parton_jet_data["Syst -"] + df["pT_max"] = df["pT"] + parton_jet_data["Syst +"] + df["abs_eta"] = (max_eta + min_eta) / 2 + df["abs_eta_min"] = min_eta + df["abs_eta_max"] = max_eta + df["sqrts"] = SQRTS + df["ALL"] = all_data[r"Double spin asymmetry $A_{LL}$"] + df["stat"] = all_data["Stat +"] + df["syst"] = all_data["Syst +"] + df["lumi"] = all_data["Lumi +"] + df["pol"] = [float(a[:-1]) for a in all_data["Pol +"]] * df["ALL"] + + print(f"1JET {topology} data loaded. Npoint: ", len(df)) + return df + + +def read_2jet_data(topology): + table_label = TOPOPLOGY_LIST[topology] + data_table = RAWDATA_PATH / f"Table2{table_label}.csv" + with open(data_table, "r", encoding="utf-8") as file: + mjj_data = pd.read_csv( + file, delimiter=",", skiprows=lambda x: (x <= 6 or x >= 16) + ) + with open(data_table, "r", encoding="utf-8") as file: + all_data = pd.read_csv(file, delimiter=",", skiprows=27) + + df = pd.DataFrame() + df["mjj"] = mjj_data['Dijet invariant mass $M_{inv}$ at the parton level [GeV/$c$]'] + df["mjj_min"] = df["mjj"] + mjj_data["Syst -"] + df["mjj_max"] = df["mjj"] + mjj_data["Syst +"] + df["sqrts"] = SQRTS + df["ALL"] = all_data[r"Double spin asymmetry $A_{LL}$"] + df["stat"] = all_data["Stat +"] + df["syst"] = all_data["Syst +"] + df["lumi"] = all_data["Lumi +"] + df["pol"] = [float(a[:-1]) for a in all_data["Pol +"]] * df["ALL"] + + print(f"2JET {topology} data loaded. Npoint: ", len(df)) + return df + + +def read_correlations(ndata_dict): + """Read the correlation files and build a big matix""" + corr_rows = [] + + # loop on block rows + for a, ndata_a in ndata_dict.items(): + la = [a for _ in range(ndata_a)] + corr_row = pd.DataFrame() + + # loop on block columns + for b, ndata_b in ndata_dict.items(): + lb = [b for _ in range(ndata_b)] + + # build the block + try: + idx = MAP_CORR_TABLE[(a, b)] + with open( + RAWDATA_PATH / f"Table{idx}SupplementalMaterial.csv", + encoding="utf-8", + ) as file: + corr_df = pd.read_csv(file, delimiter=",", skiprows=7) + + if a == b: + corr = upper_triangular_to_symmetric(corr_df.values[:, 2], ndata_a) + else: + corr = corr_df.values[:, 2].reshape((ndata_a, ndata_b)) + except (FileNotFoundError, KeyError) as _: + corr = pd.DataFrame(np.zeros((ndata_a, ndata_b)), index=la, columns=lb) + + corr = pd.DataFrame(corr, index=la, columns=lb) + corr_row = pd.concat([corr_row, corr], axis=1) + corr_rows.append(corr_row) + + tot_corr = pd.concat(corr_rows) + return tot_corr + tot_corr.T - np.eye(np.sum((*ndata_dict.values(),))) + + +def write_1jet_data(df, art_sys): + STORE_PATH = HERE / f"new_commondata/STAR_{YEAR}_1JET_{SQRTS}GEV/" + + # Write central data + data_central_yaml = {"data_central": list(df["ALL"])} + with open(STORE_PATH / "data.yaml", "w", encoding="utf-8") as file: + yaml.dump(data_central_yaml, file) + + # Write kin file + kin = [] + for i in range(len(df)): + kin_value = { + "pT": { + "min": float(df.loc[i, "pT_min"]), + "mid": float(df.loc[i, "pT"]), + "max": float(df.loc[i, "pT_max"]), + }, + "sqrts": {"min": None, "mid": float(df.loc[i, "sqrts"]), "max": None}, + "abs_eta": { + "min": float(df.loc[i, "abs_eta_min"]), + "mid": float(df.loc[i, "abs_eta"]), + "max": float(df.loc[i, "abs_eta_max"]), + }, + } + kin.append(kin_value) + kinematics_yaml = {"bins": kin} + with open(STORE_PATH / "kinematics.yaml", "w", encoding="utf-8") as file: + yaml.dump(kinematics_yaml, file) + + # Write unc file + error = [] + error_definition = { + "lumi": { + "description": "luminosity uncertainty", + "treatment": "ADD", + "type": "UNCORR", + } + } + # loop on data points + for i, sys_i in enumerate(art_sys): + e = {} + # loop on art sys + for j, val in enumerate(sys_i): + e[f"sys_{j}"] = val + + if i == 0: + error_definition.update( + { + f"sys_{j}": { + "description": f"{j} artificial correlated statistical + systematics uncertainty", + "treatment": "ADD", + "type": f"STAR{YEAR}JETunc{j}", + } + for j in range(len(sys_i)) + } + ) + e["lumi"] = float(df.loc[i, "lumi"]) + error.append(e) + + uncertainties_yaml = {"definitions": error_definition, "bins": error} + with open(STORE_PATH / "uncertainties.yaml", "w", encoding="utf-8") as file: + yaml.dump(uncertainties_yaml, file, sort_keys=False) + + +def write_2jet_data(df, topology, art_sys): + STORE_PATH = HERE / f"new_commondata/STAR_{YEAR}_2JET_{topology}_{SQRTS}GEV/" + # Write central data + data_central_yaml = {"data_central": list(df["ALL"])} + with open(STORE_PATH / "data.yaml", "w", encoding="utf-8") as file: + yaml.dump(data_central_yaml, file) + + # Write kin file + kin = [] + for i in range(len(df)): + kin_value = { + "m_jj": { + "min": float(df.loc[i, "mjj_min"]), + "mid": float(df.loc[i, "mjj"]), + "max": float(df.loc[i, "mjj_max"]), + }, + "sqrts": {"min": None, "mid": float(df.loc[i, "sqrts"]), "max": None}, + } + kin.append(kin_value) + kinematics_yaml = {"bins": kin} + with open(STORE_PATH / "kinematics.yaml", "w", encoding="utf-8") as file: + yaml.dump(kinematics_yaml, file) + + # Write unc file + error = [] + error_definition = { + "stat": { + "description": "statistical uncertainty", + "treatment": "ADD", + "type": "UNCORR", + }, + "lumi": { + "description": "luminosity uncertainty", + "treatment": "ADD", + "type": "UNCORR", + }, + } + # loop on data points + for i, sys_i in enumerate(art_sys): + e = {} + # loop on art sys + for j, val in enumerate(sys_i): + e[f"sys_{j}"] = val + e["stat"] = float(df.loc[i, "stat"]) + e["lumi"] = float(df.loc[i, "lumi"]) + error.append(e) + + if i == 0: + error_definition.update( + { + f"sys_{j}": { + "description": f"{j} artificial correlated systematics uncertainty", + "treatment": "ADD", + "type": f"STAR{YEAR}JETunc{j}", + } + for j in range(len(sys_i)) + } + ) + + uncertainties_yaml = {"definitions": error_definition, "bins": error} + with open(STORE_PATH / "uncertainties.yaml", "w", encoding="utf-8") as file: + yaml.dump(uncertainties_yaml, file, sort_keys=False) + + +if __name__ == "__main__": + # load all the data + dfs = {} + for topo in TOPOPLOGY_LIST: + fcn = read_1jet_data if "C" in topo else read_2jet_data + dfs[topo] = fcn(topo) + + # load correlations + ndata_dict = {a: len(b) for a, b in dfs.items()} + correlation_df = read_correlations(ndata_dict) + + # merge the 1JET topologies + new_dfs = { + "1JET": pd.concat([dfs['CC'], dfs['CF']], ignore_index=True), + "OS": dfs["OS"], + "SS": dfs["SS"] + } + + # from the paper we understand that stat dijet is not correlated + # I-I (stat + sys) | I-D (stat + sys) + # D-I (stat + sys) | D-D (sys) + correlated_unc = np.sqrt( + new_dfs["1JET"]["syst"] ** 2 + new_dfs["1JET"]["stat"] ** 2 + ).values.tolist() + for a in (*TOPOPLOGY_LIST,)[2:]: + correlated_unc.extend(new_dfs[a]["syst"].values) + + import pdb; pdb.set_trace() + # decompose uncertainties + ndata_dict = {a: len(b) for a, b in new_dfs.items()} + ndata_points = np.sum((*ndata_dict.values(),)) + art_sys = np.array(compute_covmat(correlation_df, correlated_unc, ndata_points)) + + # write data + cnt = 0 + for topo, df in new_dfs.items(): + ndata = ndata_dict[topo] + syst = art_sys[cnt : cnt + ndata, :].tolist() + if topo == "1JET": + write_1jet_data(df, syst) + else: + write_2jet_data(df, topo, syst) + cnt += ndata diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/metadata.yaml index 72b51bfebf..0713622d3e 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/metadata.yaml @@ -40,7 +40,7 @@ implemented_observables: - uncertainties.yaml kinematic_coverage: [pT, sqrts, eta] plotting: - dataset_label: "STAR 510 TeV (2013) 1-JET $A_{LL}$" + dataset_label: "STAR 510 GeV (2013) 1-JET $A_{LL}$" kinematics_override: identity plot_x: pT x_scale: log diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_A_510GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_A_510GEV/metadata.yaml index eb1b12396c..add2f35e89 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_A_510GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_A_510GEV/metadata.yaml @@ -29,7 +29,7 @@ implemented_observables: data_uncertainties: - uncertainties.yaml plotting: - dataset_label: "STAR 510 TeV (2013) DIJET $A_{LL}$" + dataset_label: "STAR 510 GeV (2013) DIJET $A_{LL}$, topology A" kinematics_override: identity plot_x: m_jj x_scale: log diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_B_510GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_B_510GEV/metadata.yaml index 88517aec19..01e3001a36 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_B_510GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_B_510GEV/metadata.yaml @@ -29,7 +29,7 @@ implemented_observables: data_uncertainties: - uncertainties.yaml plotting: - dataset_label: "STAR 510 TeV (2013) DIJET $A_{LL}$" + dataset_label: "STAR 510 GeV (2013) DIJET $A_{LL}$, topology B" kinematics_override: identity plot_x: m_jj x_scale: log diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_C_510GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_C_510GEV/metadata.yaml index 9cba81df37..6f04416535 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_C_510GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_C_510GEV/metadata.yaml @@ -29,7 +29,7 @@ implemented_observables: data_uncertainties: - uncertainties.yaml plotting: - dataset_label: "STAR 510 TeV (2013) DIJET $A_{LL}$" + dataset_label: "STAR 510 GeV (2013) DIJET $A_{LL}$, topology C" kinematics_override: identity plot_x: m_jj x_scale: log diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_D_510GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_D_510GEV/metadata.yaml index be1e3c53c8..143c30b1f3 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_D_510GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_D_510GEV/metadata.yaml @@ -29,7 +29,7 @@ implemented_observables: data_uncertainties: - uncertainties.yaml plotting: - dataset_label: "STAR 510 TeV (2013) DIJET $A_{LL}$" + dataset_label: "STAR 510 GeV (2013) DIJET $A_{LL}$, topology D" kinematics_override: identity plot_x: m_jj x_scale: log From 106d475f170cef02b93aefc487cfc7cdeb078ed9 Mon Sep 17 00:00:00 2001 From: giacomomagni Date: Tue, 23 Apr 2024 22:21:50 +0200 Subject: [PATCH 17/70] implement 2015 dijet and jet and fix tests --- .../nnpdf_data/filter_utils/correlations.py | 2 +- .../star/jet_dijet_2013_510gev.py | 2 + .../star/jet_dijet_2015_200gev.py | 19 +- .../STAR_2009_1JET_200GEV/metadata.yaml | 4 +- .../STAR_2013_1JET_510GEV/uncertainties.yaml | 1764 ++++++++--------- .../uncertainties.yaml | 1512 +++++++------- .../uncertainties.yaml | 1638 +++++++-------- .../uncertainties.yaml | 1512 +++++++------- .../uncertainties.yaml | 1512 +++++++------- .../STAR_2015_1JET_200GEV/data.yaml | 23 + .../STAR_2015_1JET_200GEV/kinematics.yaml | 265 +++ .../STAR_2015_1JET_200GEV/metadata.yaml | 50 + .../rawdata/Table11SupplementalMaterial.csv | 37 + .../rawdata/Table12SupplementalMaterial.csv | 37 + .../rawdata/Table13SupplementalMaterial.csv | 58 + .../rawdata/Table1SupplementalMaterial.csv | 75 + .../rawdata/Table1bottom.csv | 34 + .../rawdata/Table1top.csv | 34 + .../rawdata/Table2SupplementalMaterial.csv | 75 + .../rawdata/Table2bottom.csv | 36 + .../rawdata/Table2top.csv | 36 + .../rawdata/Table4SupplementalMaterial.csv | 130 ++ .../rawdata/Table5SupplementalMaterial.csv | 86 + .../rawdata/Table6SupplementalMaterial.csv | 86 + .../rawdata/Table7SupplementalMaterial.csv | 86 + .../rawdata/Table8SupplementalMaterial.csv | 86 + .../STAR_2015_1JET_200GEV/uncertainties.yaml | 990 +++++++++ .../STAR_2015_2JET_OS_200GEV/data.yaml | 8 + .../STAR_2015_2JET_OS_200GEV/kinematics.yaml | 57 + .../STAR_2015_2JET_OS_200GEV/metadata.yaml | 39 + .../uncertainties.yaml | 431 ++++ .../STAR_2015_2JET_SS_200GEV/data.yaml | 8 + .../STAR_2015_2JET_SS_200GEV/kinematics.yaml | 57 + .../STAR_2015_2JET_SS_200GEV/metadata.yaml | 39 + .../uncertainties.yaml | 431 ++++ validphys2/src/validphys/process_options.py | 3 +- 36 files changed, 7286 insertions(+), 3976 deletions(-) create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/data.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/kinematics.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/metadata.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table11SupplementalMaterial.csv create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table12SupplementalMaterial.csv create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table13SupplementalMaterial.csv create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table1SupplementalMaterial.csv create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table1bottom.csv create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table1top.csv create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table2SupplementalMaterial.csv create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table2bottom.csv create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table2top.csv create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table4SupplementalMaterial.csv create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table5SupplementalMaterial.csv create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table6SupplementalMaterial.csv create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table7SupplementalMaterial.csv create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table8SupplementalMaterial.csv create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/uncertainties.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_OS_200GEV/data.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_OS_200GEV/kinematics.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_OS_200GEV/metadata.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_OS_200GEV/uncertainties.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_SS_200GEV/data.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_SS_200GEV/kinematics.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_SS_200GEV/metadata.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_SS_200GEV/uncertainties.yaml diff --git a/nnpdf_data/nnpdf_data/filter_utils/correlations.py b/nnpdf_data/nnpdf_data/filter_utils/correlations.py index 6f01f09bc1..c9c1cdc07b 100644 --- a/nnpdf_data/nnpdf_data/filter_utils/correlations.py +++ b/nnpdf_data/nnpdf_data/filter_utils/correlations.py @@ -11,7 +11,7 @@ def upper_triangular_to_symmetric(ut, dim): corr[i, i:] = ut[first:last] last += dim - i - 1 first += dim - i - return corr + corr.T - np.eye(dim) + return corr def compute_covmat(corrmat: np.ndarray, unc: np.ndarray, ndata: int) -> list: diff --git a/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2013_510gev.py b/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2013_510gev.py index 92c8b15efb..77d947d13c 100644 --- a/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2013_510gev.py +++ b/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2013_510gev.py @@ -112,6 +112,8 @@ def read_correlations(ndata_dict): corr_rows.append(corr_row) tot_corr = pd.concat(corr_rows) + if not np.allclose(tot_corr, np.triu(tot_corr)): + raise ValueError("Correlation matrix not read correctly") return tot_corr + tot_corr.T - np.eye(np.sum((*ndata_dict.values(),))) diff --git a/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2015_200gev.py b/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2015_200gev.py index 2beb5911d1..ec479eb8fe 100644 --- a/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2015_200gev.py +++ b/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2015_200gev.py @@ -130,6 +130,8 @@ def read_correlations(ndata_dict): corr_rows.append(corr_row) tot_corr = pd.concat(corr_rows) + if not np.allclose(tot_corr, np.triu(tot_corr)): + raise ValueError("Correlation matrix not read correctly") return tot_corr + tot_corr.T - np.eye(np.sum((*ndata_dict.values(),))) @@ -168,7 +170,12 @@ def write_1jet_data(df, art_sys): "lumi": { "description": "luminosity uncertainty", "treatment": "ADD", - "type": "UNCORR", + "type": "STAR2015LUMI", + }, + "pol": { + "description": "polarization uncertainty", + "treatment": "MULT", + "type": "STAR2015POL", } } # loop on data points @@ -190,6 +197,7 @@ def write_1jet_data(df, art_sys): } ) e["lumi"] = float(df.loc[i, "lumi"]) + e["pol"] = float(df.loc[i, "pol"]) error.append(e) uncertainties_yaml = {"definitions": error_definition, "bins": error} @@ -231,8 +239,13 @@ def write_2jet_data(df, topology, art_sys): "lumi": { "description": "luminosity uncertainty", "treatment": "ADD", - "type": "UNCORR", + "type": "STAR2015LUMI", }, + "pol": { + "description": "polarization uncertainty", + "treatment": "MULT", + "type": "STAR2015POL", + } } # loop on data points for i, sys_i in enumerate(art_sys): @@ -242,6 +255,7 @@ def write_2jet_data(df, topology, art_sys): e[f"sys_{j}"] = val e["stat"] = float(df.loc[i, "stat"]) e["lumi"] = float(df.loc[i, "lumi"]) + e["pol"] = float(df.loc[i, "pol"]) error.append(e) if i == 0: @@ -288,7 +302,6 @@ def write_2jet_data(df, topology, art_sys): for a in (*TOPOPLOGY_LIST,)[2:]: correlated_unc.extend(new_dfs[a]["syst"].values) - import pdb; pdb.set_trace() # decompose uncertainties ndata_dict = {a: len(b) for a, b in new_dfs.items()} ndata_points = np.sum((*ndata_dict.values(),)) diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/metadata.yaml index 48ee1f0637..637a7143bf 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/metadata.yaml @@ -34,13 +34,13 @@ implemented_observables: label: '$\sqrt{s}$', units: "$GeV$", } - eta: { description: "pseudorapidity", label: '$\eta$', units: "" } + abs_eta: { description: "pseudorapidity", label: '$\eta$', units: "" } file: kinematics.yaml data_central: data.yaml data_uncertainties: - uncertainties.yaml - kinematic_coverage: [pT, sqrts, eta] + kinematic_coverage: [pT, sqrts, abs_eta] plotting: kinematics_override: identity dataset_label: "$A_{LL}$" diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/uncertainties.yaml 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b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/kinematics.yaml new file mode 100644 index 0000000000..a4781fd3fd --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/kinematics.yaml @@ -0,0 +1,265 @@ +bins: +- abs_eta: + max: 0.5 + mid: 0.25 + min: 0.0 + pT: + max: 6.2 + mid: 6.0 + min: 5.8 + sqrts: + max: null + mid: 200.0 + min: null +- abs_eta: + max: 0.5 + mid: 0.25 + min: 0.0 + pT: + max: 7.529999999999999 + mid: 7.31 + min: 7.09 + sqrts: + max: null + mid: 200.0 + min: null +- abs_eta: + max: 0.5 + mid: 0.25 + min: 0.0 + pT: + max: 9.72 + mid: 9.47 + min: 9.22 + sqrts: + max: null + mid: 200.0 + min: null +- abs_eta: + max: 0.5 + mid: 0.25 + min: 0.0 + pT: + max: 11.64 + mid: 11.33 + min: 11.02 + sqrts: + max: null + mid: 200.0 + min: null +- abs_eta: + max: 0.5 + mid: 0.25 + min: 0.0 + pT: + max: 13.7 + mid: 13.36 + min: 13.02 + sqrts: + max: null + mid: 200.0 + min: null +- abs_eta: + max: 0.5 + mid: 0.25 + min: 0.0 + pT: + max: 16.09 + mid: 15.74 + min: 15.39 + sqrts: + max: null + mid: 200.0 + min: null +- abs_eta: + max: 0.5 + mid: 0.25 + min: 0.0 + pT: + max: 18.81 + mid: 18.43 + min: 18.05 + sqrts: + max: null + mid: 200.0 + min: null +- abs_eta: + max: 0.5 + mid: 0.25 + min: 0.0 + pT: + max: 21.93 + mid: 21.49 + min: 21.049999999999997 + sqrts: + max: null + mid: 200.0 + min: null +- abs_eta: + max: 0.5 + mid: 0.25 + min: 0.0 + pT: + max: 25.610000000000003 + mid: 25.1 + min: 24.59 + sqrts: + max: null + mid: 200.0 + min: null +- abs_eta: + max: 0.5 + mid: 0.25 + min: 0.0 + pT: + max: 29.73 + mid: 29.17 + min: 28.610000000000003 + sqrts: + max: null + mid: 200.0 + min: null +- abs_eta: + max: 0.5 + mid: 0.25 + min: 0.0 + pT: + max: 34.43 + mid: 33.81 + min: 33.190000000000005 + sqrts: + max: null + mid: 200.0 + min: null +- abs_eta: + max: 1.0 + mid: 0.75 + min: 0.5 + pT: + max: 6.340000000000001 + mid: 6.15 + min: 5.96 + sqrts: + max: null + mid: 200.0 + min: null +- abs_eta: + max: 1.0 + mid: 0.75 + min: 0.5 + pT: + max: 7.54 + mid: 7.34 + min: 7.14 + sqrts: + max: null + mid: 200.0 + min: null +- abs_eta: + max: 1.0 + mid: 0.75 + min: 0.5 + pT: + max: 9.78 + mid: 9.5 + min: 9.22 + sqrts: + max: null + mid: 200.0 + min: null +- abs_eta: + max: 1.0 + mid: 0.75 + min: 0.5 + pT: + max: 11.62 + mid: 11.34 + min: 11.06 + sqrts: + max: null + mid: 200.0 + min: null +- abs_eta: + max: 1.0 + mid: 0.75 + min: 0.5 + pT: + max: 13.56 + mid: 13.25 + min: 12.94 + sqrts: + max: null + mid: 200.0 + min: null +- abs_eta: + max: 1.0 + mid: 0.75 + min: 0.5 + pT: + max: 15.83 + mid: 15.47 + min: 15.110000000000001 + sqrts: + max: null + mid: 200.0 + min: null +- abs_eta: + max: 1.0 + mid: 0.75 + min: 0.5 + pT: + max: 18.44 + mid: 18.07 + min: 17.7 + sqrts: + max: null + mid: 200.0 + min: null +- abs_eta: + max: 1.0 + mid: 0.75 + min: 0.5 + pT: + max: 21.57 + mid: 21.16 + min: 20.75 + sqrts: + max: null + mid: 200.0 + min: null +- abs_eta: + max: 1.0 + mid: 0.75 + min: 0.5 + pT: + max: 25.16 + mid: 24.68 + min: 24.2 + sqrts: + max: null + mid: 200.0 + min: null +- abs_eta: + max: 1.0 + mid: 0.75 + min: 0.5 + pT: + max: 29.09 + mid: 28.56 + min: 28.029999999999998 + sqrts: + max: null + mid: 200.0 + min: null +- abs_eta: + max: 1.0 + mid: 0.75 + min: 0.5 + pT: + max: 33.5 + mid: 32.9 + min: 32.3 + sqrts: + max: null + mid: 200.0 + min: null diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/metadata.yaml new file mode 100644 index 0000000000..ec3fc04699 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/metadata.yaml @@ -0,0 +1,50 @@ +setname: "STAR_2015_1JET_200GEV" + +nnpdf_metadata: + experiment: "STAR" + nnpdf31_process: "JETS" + +iNSPIRE: + url: "https://inspirehep.net/literature/1850855" +hepdata: + url: "https://www.hepdata.net/record/ins1850855" + version: 1 + +version: 1 +version_comment: "Initial implementation" + +implemented_observables: + - observable: { description: "$A_{LL}$ as function of $p_T$", label: "$A_{LL}$", units: "" } + observable_name: ALL + process_type: JET_POL + ndata: 22 + tables: [1] + kinematics: + variables: + pT: + { + description: "mean transverse momentum", + label: '$\langle pT \rangle$', + units: "$GeV$", + } + sqrts: + { + description: "center of mass energy", + label: '$\sqrt{s}$', + units: "$GeV$", + } + abs_eta: {description: "absolute pseudorapidity", label: '$|\eta|$', units: "" } + file: kinematics.yaml + data_central: data.yaml + data_uncertainties: + - uncertainties.yaml + kinematic_coverage: [pT, sqrts, abs_eta] + plotting: + dataset_label: "STAR 200 GeV (2015) 1-JET $A_{LL}$" + kinematics_override: identity + plot_x: pT + x_scale: log + y_label: "$A_{LL}$" + theory: + FK_tables: + - - STAR_2015_1JET_200GEV_ALL diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table11SupplementalMaterial.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table11SupplementalMaterial.csv new file mode 100644 index 0000000000..22e588f648 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table11SupplementalMaterial.csv @@ -0,0 +1,37 @@ +#: table_doi: 10.17182/hepdata.104836.v1/t19 +#: name: Table 11 Supplemental Material +#: description: The correlation matrix for the point-to-point uncertainties for dijet measurements with the $\textrm{sign}(\eta_1) = \textrm{sign}(\eta_2)$ topology. The $A_{LL}$ uncertainty contribution of $0.0007$ from uncertainty in the relative luminosity measurement and $6.1\%$ from the beam polarization uncertainty, which are common to all the data points, are separated from the listed values. +#: data_file: table_11_supplemental_material.yaml +#: keyword reactions: P P --> JET JET X +#: keyword observables: CORR +#: SQRT(S) [GeV],200 +Dijet invariant mass $M_{inv}$ at the parton level ($\textrm{sign}(\eta_1) = \textrm{sign}(\eta_2)$) [GeV/$c^2$],Dijet invariant mass $M_{inv}$ at the parton level ($\textrm{sign}(\eta_1) = \textrm{sign}(\eta_2)$) [GeV/$c^2$],Correlation +20.29,20.29,1.0 +20.29,23.5,0.044 +20.29,28.28,0.033 +20.29,34.15,0.02 +20.29,40.96,0.013 +20.29,50.75,0.012 +20.29,69.11,0.006 +23.5,23.5,1.0 +23.5,28.28,0.038 +23.5,34.15,0.023 +23.5,40.96,0.016 +23.5,50.75,0.015 +23.5,69.11,0.008 +28.28,28.28,1.0 +28.28,34.15,0.019 +28.28,40.96,0.013 +28.28,50.75,0.014 +28.28,69.11,0.008 +34.15,34.15,1.0 +34.15,40.96,0.009 +34.15,50.75,0.009 +34.15,69.11,0.005 +40.96,40.96,1.0 +40.96,50.75,0.007 +40.96,69.11,0.004 +50.75,50.75,1.0 +50.75,69.11,0.006 +69.11,69.11,1.0 + diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table12SupplementalMaterial.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table12SupplementalMaterial.csv new file mode 100644 index 0000000000..430b2a39c6 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table12SupplementalMaterial.csv @@ -0,0 +1,37 @@ +#: table_doi: 10.17182/hepdata.104836.v1/t20 +#: name: Table 12 Supplemental Material +#: description: The correlation matrix for the point-to-point uncertainties for dijet measurements with the $\textrm{sign}(\eta_1) \neq \textrm{sign}(\eta_2)$ topology. The $A_{LL}$ uncertainty contribution of $0.0007$ from uncertainty in the relative luminosity measurement and $6.1\%$ from the beam polarization uncertainty, which are common to all the data points, are separated from the listed values. +#: data_file: table_12_supplemental_material.yaml +#: keyword reactions: P P --> JET JET X +#: keyword observables: CORR +#: SQRT(S) [GeV],200 +Dijet invariant mass $M_{inv}$ at the parton level ($\textrm{sign}(\eta_1) \neq \textrm{sign}(\eta_2)$) [GeV/$c^2$],Dijet invariant mass $M_{inv}$ at the parton level ($\textrm{sign}(\eta_1) \neq \textrm{sign}(\eta_2)$) [GeV/$c^2$],Correlation +20.48,20.48,1.0 +20.48,23.65,0.011 +20.48,28.5,0.012 +20.48,34.38,0.008 +20.48,41.38,0.006 +20.48,51.25,0.008 +20.48,69.96,0.004 +23.65,23.65,1.0 +23.65,28.5,0.016 +23.65,34.38,0.01 +23.65,41.38,0.008 +23.65,51.25,0.01 +23.65,69.96,0.005 +28.5,28.5,1.0 +28.5,34.38,0.011 +28.5,41.38,0.009 +28.5,51.25,0.011 +28.5,69.96,0.006 +34.38,34.38,1.0 +34.38,41.38,0.006 +34.38,51.25,0.008 +34.38,69.96,0.004 +41.38,41.38,1.0 +41.38,51.25,0.006 +41.38,69.96,0.003 +51.25,51.25,1.0 +51.25,69.96,0.004 +69.96,69.96,1.0 + diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table13SupplementalMaterial.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table13SupplementalMaterial.csv new file mode 100644 index 0000000000..2bf53ee3e8 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table13SupplementalMaterial.csv @@ -0,0 +1,58 @@ +#: table_doi: 10.17182/hepdata.104836.v1/t21 +#: name: Table 13 Supplemental Material +#: description: The correlation matrix for the point-to-point uncertainties coupling dijet measurements with the $\textrm{sign}(\eta_1) \neq \textrm{sign}(\eta_2)$ topology and the $\textrm{sign}(\eta_1) = \textrm{sign}(\eta_2)$ topology. The $A_{LL}$ uncertainty contribution of $0.0007$ from uncertainty in the relative luminosity measurement and $6.1\%$ from the beam polarization uncertainty, which are common to all the data points, are separated from the listed values. +#: data_file: table_13_supplemental_material.yaml +#: keyword reactions: P P --> JET JET X +#: keyword observables: CORR +#: SQRT(S) [GeV],200 +Dijet invariant mass $M_{inv}$ at the parton level ($\textrm{sign}(\eta_1) \neq \textrm{sign}(\eta_2)$) [GeV/$c^2$],Dijet invariant mass $M_{inv}$ at the parton level ($\textrm{sign}(\eta_1) = \textrm{sign}(\eta_2)$) [GeV/$c^2$],Correlation +20.48,20.29,0.008 +20.48,23.5,0.01 +20.48,28.28,0.01 +20.48,34.15,0.007 +20.48,40.96,0.006 +20.48,50.75,0.008 +20.48,69.11,0.005 +23.65,20.29,0.01 +23.65,23.5,0.013 +23.65,28.28,0.013 +23.65,34.15,0.009 +23.65,40.96,0.008 +23.65,50.75,0.01 +23.65,69.11,0.007 +28.5,20.29,0.011 +28.5,23.5,0.014 +28.5,28.28,0.015 +28.5,34.15,0.01 +28.5,40.96,0.008 +28.5,50.75,0.011 +28.5,69.11,0.007 +34.38,20.29,0.007 +34.38,23.5,0.009 +34.38,28.28,0.01 +34.38,34.15,0.007 +34.38,40.96,0.006 +34.38,50.75,0.007 +34.38,69.11,0.005 +41.38,20.29,0.006 +41.38,23.5,0.008 +41.38,28.28,0.008 +41.38,34.15,0.006 +41.38,40.96,0.005 +41.38,50.75,0.006 +41.38,69.11,0.004 +51.25,20.29,0.008 +51.25,23.5,0.01 +51.25,28.28,0.011 +51.25,34.15,0.007 +51.25,40.96,0.006 +51.25,50.75,0.008 +51.25,69.11,0.006 +69.96,20.29,0.004 +69.96,23.5,0.005 +69.96,28.28,0.005 +69.96,34.15,0.004 +69.96,40.96,0.003 +69.96,50.75,0.004 +69.96,69.11,0.003 + diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table1SupplementalMaterial.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table1SupplementalMaterial.csv new file mode 100644 index 0000000000..9c7741b8f6 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table1SupplementalMaterial.csv @@ -0,0 +1,75 @@ +#: table_doi: 10.17182/hepdata.104836.v1/t9 +#: name: Table 1 Supplemental Material +#: description: The correlation matrix for the point-to-point uncertainties for inclusive jet measurements with jets in the $0.5<|\eta|<1$ region. The $A_{LL}$ uncertainty contribution of $0.0007$ from uncertainty in the relative luminosity measurement and $6.1\%$ from the beam polarization uncertainty, which are common to all the data points, are separated from the listed values. +#: data_file: table_1_supplemental_material.yaml +#: keyword reactions: P P --> JET X +#: keyword observables: CORR +#: SQRT(S) [GeV],200 +Inclusive jet transverse momentum $p_T$ at the parton level ($0.5<|\eta|<1$) [GeV/$c$],Inclusive jet transverse momentum $p_T$ at the parton level ($0.5<|\eta|<1$) [GeV/$c$],Correlation +6.15,6.15,1.0 +6.15,7.34,0.043 +6.15,9.5,0.062 +6.15,11.34,0.051 +6.15,13.25,0.037 +6.15,15.47,0.026 +6.15,18.07,0.019 +6.15,21.16,0.012 +6.15,24.68,0.011 +6.15,28.56,0.007 +6.15,32.9,0.003 +7.34,7.34,1.0 +7.34,9.5,0.051 +7.34,11.34,0.045 +7.34,13.25,0.033 +7.34,15.47,0.023 +7.34,18.07,0.018 +7.34,21.16,0.012 +7.34,24.68,0.011 +7.34,28.56,0.007 +7.34,32.9,0.003 +9.5,9.5,1.0 +9.5,11.34,0.069 +9.5,13.25,0.051 +9.5,15.47,0.037 +9.5,18.07,0.029 +9.5,21.16,0.019 +9.5,24.68,0.017 +9.5,28.56,0.011 +9.5,32.9,0.005 +11.34,11.34,1.0 +11.34,13.25,0.051 +11.34,15.47,0.039 +11.34,18.07,0.032 +11.34,21.16,0.02 +11.34,24.68,0.019 +11.34,28.56,0.013 +11.34,32.9,0.006 +13.25,13.25,1.0 +13.25,15.47,0.034 +13.25,18.07,0.028 +13.25,21.16,0.019 +13.25,24.68,0.017 +13.25,28.56,0.01 +13.25,32.9,0.005 +15.47,15.47,1.0 +15.47,18.07,0.027 +15.47,21.16,0.019 +15.47,24.68,0.016 +15.47,28.56,0.01 +15.47,32.9,0.004 +18.07,18.07,1.0 +18.07,21.16,0.023 +18.07,24.68,0.019 +18.07,28.56,0.011 +18.07,32.9,0.005 +21.16,21.16,1.0 +21.16,24.68,0.022 +21.16,28.56,0.014 +21.16,32.9,0.006 +24.68,24.68,1.0 +24.68,28.56,0.02 +24.68,32.9,0.011 +28.56,28.56,1.0 +28.56,32.9,0.016 +32.9,32.9,1.0 + diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table1bottom.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table1bottom.csv new file mode 100644 index 0000000000..48f86b8a87 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table1bottom.csv @@ -0,0 +1,34 @@ +#: table_doi: 10.17182/hepdata.104836.v1/t5 +#: name: Table 1 bottom +#: description: Parton inclusive-jet $p_T$ and $A_{LL}$ values with associated uncertainties for jet-$\eta$ region $|\eta|<0.5$. +#: data_file: table_1_bottom.yaml +#: keyword observables: ASYM +#: keyword reactions: P P --> JET X +#: SQRT(S) [GeV],200 +bin,Inclusive jet transverse momentum $p_T$ at the parton level [GeV/$c$],Syst +,Syst - +1.0,6.0,0.2,-0.2 +2.0,7.31,0.22,-0.22 +3.0,9.47,0.25,-0.25 +4.0,11.33,0.31,-0.31 +5.0,13.36,0.34,-0.34 +6.0,15.74,0.35,-0.35 +7.0,18.43,0.38,-0.38 +8.0,21.49,0.44,-0.44 +9.0,25.1,0.51,-0.51 +10.0,29.17,0.56,-0.56 +11.0,33.81,0.62,-0.62 + +#: SQRT(S) [GeV],200 +bin,Double spin asymmetry $A_{LL}$,Stat +,Stat -,Syst +,Syst -,Lumi +,Lumi -,Pol +,Pol - +1.0,0.0002,0.0014,-0.0014,0.0015,-0.0015,0.0007,-0.0007,6.1%,-6.1% +2.0,0.0006,0.0017,-0.0017,0.0012,-0.0012,0.0007,-0.0007,6.1%,-6.1% +3.0,0.0034,0.001,-0.001,0.0011,-0.0011,0.0007,-0.0007,6.1%,-6.1% +4.0,0.0041,0.0011,-0.0011,0.0009,-0.0009,0.0007,-0.0007,6.1%,-6.1% +5.0,0.007,0.0014,-0.0014,0.0008,-0.0008,0.0007,-0.0007,6.1%,-6.1% +6.0,0.0045,0.0019,-0.0019,0.0007,-0.0007,0.0007,-0.0007,6.1%,-6.1% +7.0,0.0182,0.0028,-0.0028,0.0008,-0.0008,0.0007,-0.0007,6.1%,-6.1% +8.0,0.022,0.0043,-0.0043,0.0009,-0.0009,0.0007,-0.0007,6.1%,-6.1% +9.0,0.0196,0.0072,-0.0072,0.0011,-0.0011,0.0007,-0.0007,6.1%,-6.1% +10.0,0.0348,0.0127,-0.0127,0.0014,-0.0014,0.0007,-0.0007,6.1%,-6.1% +11.0,0.0515,0.0239,-0.0239,0.0015,-0.0015,0.0007,-0.0007,6.1%,-6.1% + diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table1top.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table1top.csv new file mode 100644 index 0000000000..96ed05bb37 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table1top.csv @@ -0,0 +1,34 @@ +#: table_doi: 10.17182/hepdata.104836.v1/t4 +#: name: Table 1 top +#: description: Parton inclusive-jet $p_T$ and $A_{LL}$ values with associated uncertainties for jet-$\eta$ region $0.5<|\eta|<1$. +#: data_file: table_1_top.yaml +#: keyword observables: ASYM +#: keyword reactions: P P --> JET X +#: SQRT(S) [GeV],200 +bin,Inclusive jet transverse momentum $p_T$ at the parton level [GeV/$c$],Syst +,Syst - +1.0,6.15,0.19,-0.19 +2.0,7.34,0.2,-0.2 +3.0,9.5,0.28,-0.28 +4.0,11.34,0.28,-0.28 +5.0,13.25,0.31,-0.31 +6.0,15.47,0.36,-0.36 +7.0,18.07,0.37,-0.37 +8.0,21.16,0.41,-0.41 +9.0,24.68,0.48,-0.48 +10.0,28.56,0.53,-0.53 +11.0,32.9,0.6,-0.6 + +#: SQRT(S) [GeV],200 +bin,Double spin asymmetry $A_{LL}$,Stat +,Stat -,Syst +,Syst -,Lumi +,Lumi -,Pol +,Pol - +1.0,-0.00021,0.0017,-0.0017,0.0004,-0.0004,0.0007,-0.0007,6.1%,-6.1% +2.0,0.00091,0.0019,-0.0019,0.0004,-0.0004,0.0007,-0.0007,6.1%,-6.1% +3.0,0.00084,0.0012,-0.0012,0.0004,-0.0004,0.0007,-0.0007,6.1%,-6.1% +4.0,0.00333,0.0014,-0.0014,0.0004,-0.0004,0.0007,-0.0007,6.1%,-6.1% +5.0,0.00238,0.0018,-0.0018,0.0004,-0.0004,0.0007,-0.0007,6.1%,-6.1% +6.0,0.00214,0.0025,-0.0025,0.0004,-0.0004,0.0007,-0.0007,6.1%,-6.1% +7.0,0.01141,0.0037,-0.0037,0.0005,-0.0005,0.0007,-0.0007,6.1%,-6.1% +8.0,0.01228,0.0058,-0.0058,0.0006,-0.0006,0.0007,-0.0007,6.1%,-6.1% +9.0,0.02057,0.0099,-0.0099,0.001,-0.001,0.0007,-0.0007,6.1%,-6.1% +10.0,0.05314,0.018,-0.018,0.0013,-0.0013,0.0007,-0.0007,6.1%,-6.1% +11.0,0.02316,0.0357,-0.0357,0.0016,-0.0016,0.0007,-0.0007,6.1%,-6.1% + diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table2SupplementalMaterial.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table2SupplementalMaterial.csv new file mode 100644 index 0000000000..dd0f806245 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table2SupplementalMaterial.csv @@ -0,0 +1,75 @@ +#: table_doi: 10.17182/hepdata.104836.v1/t10 +#: name: Table 2 Supplemental Material +#: description: The correlation matrix for the point-to-point uncertainties for inclusive jet measurements with jets in the $|\eta|<0.5$ region. The $A_{LL}$ uncertainty contribution of $0.0007$ from uncertainty in the relative luminosity measurement and $6.1\%$ from the beam polarization uncertainty, which are common to all the data points, are separated from the listed values. +#: data_file: table_2_supplemental_material.yaml +#: keyword reactions: P P --> JET X +#: keyword observables: CORR +#: SQRT(S) [GeV],200 +Inclusive jet transverse momentum $p_T$ at the parton level ($|\eta|<0.5$) [GeV/$c$],Inclusive jet transverse momentum $p_T$ at the parton level ($|\eta|<0.5$) [GeV/$c$],Correlation +6.0,6.0,1.0 +6.0,7.31,0.448 +6.0,9.47,0.549 +6.0,11.33,0.463 +6.0,13.36,0.353 +6.0,15.74,0.244 +6.0,18.43,0.163 +6.0,21.49,0.102 +6.0,25.1,0.064 +6.0,29.17,0.035 +6.0,33.81,0.018 +7.31,7.31,1.0 +7.31,9.47,0.45 +7.31,11.33,0.379 +7.31,13.36,0.287 +7.31,15.74,0.198 +7.31,18.43,0.13 +7.31,21.49,0.08 +7.31,25.1,0.049 +7.31,29.17,0.027 +7.31,33.81,0.014 +9.47,9.47,1.0 +9.47,11.33,0.47 +9.47,13.36,0.361 +9.47,15.74,0.251 +9.47,18.43,0.171 +9.47,21.49,0.109 +9.47,25.1,0.069 +9.47,29.17,0.038 +9.47,33.81,0.02 +11.33,11.33,1.0 +11.33,13.36,0.309 +11.33,15.74,0.217 +11.33,18.43,0.149 +11.33,21.49,0.095 +11.33,25.1,0.06 +11.33,29.17,0.033 +11.33,33.81,0.017 +13.36,13.36,1.0 +13.36,15.74,0.177 +13.36,18.43,0.129 +13.36,21.49,0.085 +13.36,25.1,0.056 +13.36,29.17,0.031 +13.36,33.81,0.016 +15.74,15.74,1.0 +15.74,18.43,0.104 +15.74,21.49,0.072 +15.74,25.1,0.049 +15.74,29.17,0.027 +15.74,33.81,0.014 +18.43,18.43,1.0 +18.43,21.49,0.075 +18.43,25.1,0.056 +18.43,29.17,0.032 +18.43,33.81,0.017 +21.49,21.49,1.0 +21.49,25.1,0.062 +21.49,29.17,0.04 +21.49,33.81,0.021 +25.1,25.1,1.0 +25.1,29.17,0.056 +25.1,33.81,0.033 +29.17,29.17,1.0 +29.17,33.81,0.053 +33.81,33.81,1.0 + diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table2bottom.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table2bottom.csv new file mode 100644 index 0000000000..353441b4fe --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table2bottom.csv @@ -0,0 +1,36 @@ +#: table_doi: 10.17182/hepdata.104836.v1/t7 +#: name: Table 2 bottom +#: description: Parton dijet invariant mass $M_{inv}$ and $A_{LL}$ values with associated uncertainties for the $\textrm{sign}(\eta_1) \neq \textrm{sign}(\eta_2)$ topology. +#: data_file: table_2_bottom.yaml +#: keyword observables: ASYM +#: keyword reactions: P P --> JET JET X +#: SQRT(S) [GeV],200 +bin,Dijet invariant mass $M_{inv}$ at the parton level [GeV/$c$],Syst +,Syst - +1.0,20.48,0.62,-0.62 +2.0,23.65,0.59,-0.59 +3.0,28.5,0.69,-0.69 +4.0,34.38,0.79,-0.79 +5.0,41.38,0.92,-0.92 +6.0,51.25,1.08,-1.08 +7.0,69.96,1.31,-1.31 + +#: SQRT(S) [GeV],200 +bin,Dijet $M_{inv}/\sqrt{s}$ at the parton level,Syst +,Syst - +1.0,0.1024,0.0031,-0.0031 +2.0,0.1183,0.003,-0.003 +3.0,0.1425,0.0035,-0.0035 +4.0,0.1719,0.004,-0.004 +5.0,0.2069,0.0046,-0.0046 +6.0,0.2563,0.0054,-0.0054 +7.0,0.3498,0.0066,-0.0066 + +#: SQRT(S) [GeV],200 +bin,Double spin asymmetry $A_{LL}$,Stat +,Stat -,Syst +,Syst -,Lumi +,Lumi -,Pol +,Pol - +1.0,0.0067,0.004,-0.004,0.0005,-0.0005,0.0007,-0.0007,6.1%,-6.1% +2.0,0.0024,0.0027,-0.0027,0.0005,-0.0005,0.0007,-0.0007,6.1%,-6.1% +3.0,0.0052,0.0032,-0.0032,0.0006,-0.0006,0.0007,-0.0007,6.1%,-6.1% +4.0,0.011,0.0044,-0.0044,0.0007,-0.0007,0.0007,-0.0007,6.1%,-6.1% +5.0,0.0201,0.0068,-0.0068,0.0009,-0.0009,0.0007,-0.0007,6.1%,-6.1% +6.0,0.024,0.0097,-0.0097,0.0012,-0.0012,0.0007,-0.0007,6.1%,-6.1% +7.0,0.0934,0.0304,-0.0304,0.002,-0.002,0.0007,-0.0007,6.1%,-6.1% + diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table2top.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table2top.csv new file mode 100644 index 0000000000..cb61d55282 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table2top.csv @@ -0,0 +1,36 @@ +#: table_doi: 10.17182/hepdata.104836.v1/t6 +#: name: Table 2 top +#: description: Parton dijet invariant mass $M_{inv}$ and $A_{LL}$ values with associated uncertainties for the $\textrm{sign}(\eta_1) = \textrm{sign}(\eta_2)$ topology. +#: data_file: table_2_top.yaml +#: keyword observables: ASYM +#: keyword reactions: P P --> JET JET X +#: SQRT(S) [GeV],200 +bin,Dijet invariant mass $M_{inv}$ at the parton level [GeV/$c$],Syst +,Syst - +1.0,20.29,0.53,-0.53 +2.0,23.5,0.61,-0.61 +3.0,28.28,0.66,-0.66 +4.0,34.15,0.78,-0.78 +5.0,40.96,0.89,-0.89 +6.0,50.75,1.03,-1.03 +7.0,69.11,1.31,-1.31 + +#: SQRT(S) [GeV],200 +bin,Dijet $M_{inv}/\sqrt{s}$ at the parton level,Syst +,Syst - +1.0,0.1015,0.0027,-0.0027 +2.0,0.1175,0.0031,-0.0031 +3.0,0.1414,0.0033,-0.0033 +4.0,0.1708,0.0039,-0.0039 +5.0,0.2048,0.0045,-0.0045 +6.0,0.2538,0.0052,-0.0052 +7.0,0.3456,0.0066,-0.0066 + +#: SQRT(S) [GeV],200 +bin,Double spin asymmetry $A_{LL}$,Stat +,Stat -,Syst +,Syst -,Lumi +,Lumi -,Pol +,Pol - +1.0,0.0071,0.0036,-0.0036,0.0009,-0.0009,0.0007,-0.0007,6.1%,-6.1% +2.0,0.0049,0.0028,-0.0028,0.0007,-0.0007,0.0007,-0.0007,6.1%,-6.1% +3.0,0.0017,0.0035,-0.0035,0.0008,-0.0008,0.0007,-0.0007,6.1%,-6.1% +4.0,0.0137,0.0051,-0.0051,0.0009,-0.0009,0.0007,-0.0007,6.1%,-6.1% +5.0,0.0316,0.0081,-0.0081,0.0011,-0.0011,0.0007,-0.0007,6.1%,-6.1% +6.0,0.0232,0.0121,-0.0121,0.0015,-0.0015,0.0007,-0.0007,6.1%,-6.1% +7.0,0.0228,0.0418,-0.0418,0.0033,-0.0033,0.0007,-0.0007,6.1%,-6.1% + diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table4SupplementalMaterial.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table4SupplementalMaterial.csv new file mode 100644 index 0000000000..4851f501b0 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table4SupplementalMaterial.csv @@ -0,0 +1,130 @@ +#: table_doi: 10.17182/hepdata.104836.v1/t12 +#: name: Table 4 Supplemental Material +#: description: The correlation matrix for the point-to-point uncertainties coupling inclusive jet measurements with jets in the $|\eta|<0.5$ region and jets in the $0.5<|\eta|<1$ region. The $A_{LL}$ uncertainty contribution of $0.0007$ from uncertainty in the relative luminosity measurement and $6.1\%$ from the beam polarization uncertainty, which are common to all the data points, are separated from the listed values. +#: data_file: table_4_supplemental_material.yaml +#: keyword reactions: P P --> JET X +#: keyword observables: CORR +#: SQRT(S) [GeV],200 +Inclusive jet transverse momentum $p_T$ at the parton level ($|\eta|<0.5$) [GeV/$c$],Inclusive jet transverse momentum $p_T$ at the parton level ($0.5<|\eta|<1$) [GeV/$c$],Correlation +6.0,6.15,0.019 +6.0,7.34,0.021 +6.0,9.5,0.029 +6.0,11.34,0.033 +6.0,13.25,0.026 +6.0,15.47,0.02 +6.0,18.07,0.018 +6.0,21.16,0.012 +6.0,24.68,0.013 +6.0,28.56,0.009 +6.0,32.9,0.005 +7.31,6.15,0.013 +7.31,7.34,0.015 +7.31,9.5,0.019 +7.31,11.34,0.021 +7.31,13.25,0.017 +7.31,15.47,0.013 +7.31,18.07,0.012 +7.31,21.16,0.008 +7.31,24.68,0.008 +7.31,28.56,0.006 +7.31,32.9,0.003 +9.47,6.15,0.021 +9.47,7.34,0.024 +9.47,9.5,0.037 +9.47,11.34,0.042 +9.47,13.25,0.034 +9.47,15.47,0.027 +9.47,18.07,0.024 +9.47,21.16,0.016 +9.47,24.68,0.017 +9.47,28.56,0.011 +9.47,32.9,0.005 +11.33,6.15,0.019 +11.33,7.34,0.021 +11.33,9.5,0.034 +11.33,11.34,0.039 +11.33,13.25,0.033 +11.33,15.47,0.027 +11.33,18.07,0.024 +11.33,21.16,0.016 +11.33,24.68,0.016 +11.33,28.56,0.01 +11.33,32.9,0.005 +13.36,6.15,0.02 +13.36,7.34,0.022 +13.36,9.5,0.037 +13.36,11.34,0.044 +13.36,13.25,0.038 +13.36,15.47,0.034 +13.36,18.07,0.03 +13.36,21.16,0.021 +13.36,24.68,0.019 +13.36,28.56,0.012 +13.36,32.9,0.006 +15.74,6.15,0.016 +15.74,7.34,0.018 +15.74,9.5,0.03 +15.74,11.34,0.037 +15.74,13.25,0.035 +15.74,15.47,0.033 +15.74,18.07,0.033 +15.74,21.16,0.025 +15.74,24.68,0.021 +15.74,28.56,0.013 +15.74,32.9,0.006 +18.43,6.15,0.019 +18.43,7.34,0.021 +18.43,9.5,0.034 +18.43,11.34,0.041 +18.43,13.25,0.038 +18.43,15.47,0.038 +18.43,18.07,0.041 +18.43,21.16,0.035 +18.43,24.68,0.03 +18.43,28.56,0.019 +18.43,32.9,0.009 +21.49,6.15,0.015 +21.49,7.34,0.017 +21.49,9.5,0.027 +21.49,11.34,0.033 +21.49,13.25,0.03 +21.49,15.47,0.031 +21.49,18.07,0.037 +21.49,21.16,0.038 +21.49,24.68,0.038 +21.49,28.56,0.026 +21.49,32.9,0.013 +25.1,6.15,0.014 +25.1,7.34,0.015 +25.1,9.5,0.024 +25.1,11.34,0.028 +25.1,13.25,0.024 +25.1,15.47,0.024 +25.1,18.07,0.029 +25.1,21.16,0.035 +25.1,24.68,0.042 +25.1,28.56,0.037 +25.1,32.9,0.023 +29.17,6.15,0.009 +29.17,7.34,0.009 +29.17,9.5,0.015 +29.17,11.34,0.017 +29.17,13.25,0.014 +29.17,15.47,0.014 +29.17,18.07,0.017 +29.17,21.16,0.022 +29.17,24.68,0.032 +29.17,28.56,0.04 +29.17,32.9,0.03 +33.81,6.15,0.005 +33.81,7.34,0.005 +33.81,9.5,0.008 +33.81,11.34,0.009 +33.81,13.25,0.008 +33.81,15.47,0.007 +33.81,18.07,0.008 +33.81,21.16,0.01 +33.81,24.68,0.019 +33.81,28.56,0.029 +33.81,32.9,0.035 + diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table5SupplementalMaterial.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table5SupplementalMaterial.csv new file mode 100644 index 0000000000..af3ef60677 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table5SupplementalMaterial.csv @@ -0,0 +1,86 @@ +#: table_doi: 10.17182/hepdata.104836.v1/t13 +#: name: Table 5 Supplemental Material +#: description: The correlation matrix for the point-to-point uncertainties coupling inclusive jet measurements with jets in the $0.5<|\eta|<1$ region with dijet measurements with the the $\textrm{sign}(\eta_1) = \textrm{sign}(\eta_2)$ topology. The $A_{LL}$ uncertainty contribution of $0.0007$ from uncertainty in the relative luminosity measurement and $6.1\%$ from the beam polarization uncertainty, which are common to all the data points, are separated from the listed values. +#: data_file: table_5_supplemental_material.yaml +#: keyword reactions: P P --> JET X | P P --> JET JET X +#: keyword observables: CORR +#: SQRT(S) [GeV],200 +Inclusive jet transverse momentum $p_T$ at the parton level ($0.5<|\eta|<1$) [GeV/$c$],Dijet invariant mass $M_{inv}$ at the parton level ($\textrm{sign}(\eta_1) = \textrm{sign}(\eta_2)$) [GeV/$c^2$],Correlation +6.15,20.29,0.013 +6.15,23.5,0.013 +6.15,28.28,0.012 +6.15,34.15,0.008 +6.15,40.96,0.007 +6.15,50.75,0.009 +6.15,69.11,0.006 +7.34,20.29,0.021 +7.34,23.5,0.018 +7.34,28.28,0.014 +7.34,34.15,0.009 +7.34,40.96,0.008 +7.34,50.75,0.01 +7.34,69.11,0.007 +9.5,20.29,0.06 +9.5,23.5,0.056 +9.5,28.28,0.032 +9.5,34.15,0.015 +9.5,40.96,0.012 +9.5,50.75,0.016 +9.5,69.11,0.01 +11.34,20.29,0.063 +11.34,23.5,0.081 +11.34,28.28,0.06 +11.34,34.15,0.024 +11.34,40.96,0.014 +11.34,50.75,0.018 +11.34,69.11,0.012 +13.25,20.29,0.03 +13.25,23.5,0.074 +13.25,28.28,0.083 +13.25,34.15,0.045 +13.25,40.96,0.016 +13.25,50.75,0.014 +13.25,69.11,0.009 +15.47,20.29,0.011 +15.47,23.5,0.043 +15.47,28.28,0.076 +15.47,34.15,0.08 +15.47,40.96,0.036 +15.47,50.75,0.014 +15.47,69.11,0.007 +18.07,20.29,0.01 +18.07,23.5,0.02 +18.07,28.28,0.046 +18.07,34.15,0.078 +18.07,40.96,0.081 +18.07,50.75,0.03 +18.07,69.11,0.007 +21.16,20.29,0.006 +21.16,23.5,0.009 +21.16,28.28,0.02 +21.16,34.15,0.041 +21.16,40.96,0.085 +21.16,50.75,0.08 +21.16,69.11,0.005 +24.68,20.29,0.007 +24.68,23.5,0.009 +24.68,28.28,0.012 +24.68,34.15,0.017 +24.68,40.96,0.042 +24.68,50.75,0.114 +24.68,69.11,0.017 +28.56,20.29,0.005 +28.56,23.5,0.007 +28.56,28.28,0.007 +28.56,34.15,0.007 +28.56,40.96,0.015 +28.56,50.75,0.081 +28.56,69.11,0.068 +32.9,20.29,0.002 +32.9,23.5,0.003 +32.9,28.28,0.003 +32.9,34.15,0.003 +32.9,40.96,0.004 +32.9,50.75,0.027 +32.9,69.11,0.108 + diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table6SupplementalMaterial.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table6SupplementalMaterial.csv new file mode 100644 index 0000000000..cc47c69a26 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table6SupplementalMaterial.csv @@ -0,0 +1,86 @@ +#: table_doi: 10.17182/hepdata.104836.v1/t14 +#: name: Table 6 Supplemental Material +#: description: The correlation matrix for the point-to-point uncertainties coupling inclusive jet measurements with jets in the $0.5<|\eta|<1$ region with dijet measurements with the the $\textrm{sign}(\eta_1) \neq \textrm{sign}(\eta_2)$ topology. The $A_{LL}$ uncertainty contribution of $0.0007$ from uncertainty in the relative luminosity measurement and $6.1\%$ from the beam polarization uncertainty, which are common to all the data points, are separated from the listed values. +#: data_file: table_6_supplemental_material.yaml +#: keyword reactions: P P --> JET X | P P --> JET JET X +#: keyword observables: CORR +#: SQRT(S) [GeV],200 +Inclusive jet transverse momentum $p_T$ at the parton level ($0.5<|\eta|<1$) [GeV/$c$],Dijet invariant mass $M_{inv}$ at the parton level ($\textrm{sign}(\eta_1) \neq \textrm{sign}(\eta_2)$) [GeV/$c^2$],Correlation +6.15,20.48,0.016 +6.15,23.65,0.015 +6.15,28.5,0.013 +6.15,34.38,0.008 +6.15,41.38,0.007 +6.15,51.25,0.009 +6.15,69.96,0.005 +7.34,20.48,0.02 +7.34,23.65,0.022 +7.34,28.5,0.016 +7.34,34.38,0.009 +7.34,41.38,0.008 +7.34,51.25,0.01 +7.34,69.96,0.005 +9.5,20.48,0.056 +9.5,23.65,0.064 +9.5,28.5,0.042 +9.5,34.38,0.019 +9.5,41.38,0.012 +9.5,51.25,0.016 +9.5,69.96,0.008 +11.34,20.48,0.035 +11.34,23.65,0.076 +11.34,28.5,0.071 +11.34,34.38,0.035 +11.34,41.38,0.016 +11.34,51.25,0.018 +11.34,69.96,0.009 +13.25,20.48,0.015 +13.25,23.65,0.052 +13.25,28.5,0.079 +13.25,34.38,0.063 +13.25,41.38,0.027 +13.25,51.25,0.015 +13.25,69.96,0.007 +15.47,20.48,0.011 +15.47,23.65,0.024 +15.47,28.5,0.06 +15.47,34.38,0.08 +15.47,41.38,0.061 +15.47,51.25,0.023 +15.47,69.96,0.005 +18.07,20.48,0.01 +18.07,23.65,0.013 +18.07,28.5,0.033 +18.07,34.38,0.059 +18.07,41.38,0.088 +18.07,51.25,0.06 +18.07,69.96,0.006 +21.16,20.48,0.006 +21.16,23.65,0.008 +21.16,28.5,0.014 +21.16,34.38,0.027 +21.16,41.38,0.063 +21.16,51.25,0.112 +21.16,69.96,0.011 +24.68,20.48,0.007 +24.68,23.65,0.009 +24.68,28.5,0.01 +24.68,34.38,0.013 +24.68,41.38,0.026 +24.68,51.25,0.114 +24.68,69.96,0.056 +28.56,20.48,0.005 +28.56,23.65,0.006 +28.56,28.5,0.007 +28.56,34.38,0.006 +28.56,41.38,0.009 +28.56,51.25,0.057 +28.56,69.96,0.13 +32.9,20.48,0.002 +32.9,23.65,0.003 +32.9,28.5,0.003 +32.9,34.38,0.002 +32.9,41.38,0.003 +32.9,51.25,0.018 +32.9,69.96,0.122 + diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table7SupplementalMaterial.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table7SupplementalMaterial.csv new file mode 100644 index 0000000000..e7aa7cc143 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table7SupplementalMaterial.csv @@ -0,0 +1,86 @@ +#: table_doi: 10.17182/hepdata.104836.v1/t15 +#: name: Table 7 Supplemental Material +#: description: The correlation matrix for the point-to-point uncertainties coupling inclusive jet measurements with jets in the $|\eta|<0.5$ region with dijet measurements with the the $\textrm{sign}(\eta_1) = \textrm{sign}(\eta_2)$ topology. The $A_{LL}$ uncertainty contribution of $0.0007$ from uncertainty in the relative luminosity measurement and $6.1\%$ from the beam polarization uncertainty, which are common to all the data points, are separated from the listed values. +#: data_file: table_7_supplemental_material.yaml +#: keyword reactions: P P --> JET X | P P --> JET JET X +#: keyword observables: CORR +#: SQRT(S) [GeV],200 +Inclusive jet transverse momentum $p_T$ at the parton level ($|\eta|<0.5$) [GeV/$c$],Dijet invariant mass $M_{inv}$ at the parton level ($\textrm{sign}(\eta_1) = \textrm{sign}(\eta_2)$) [GeV/$c^2$],Correlation +6.0,20.29,0.019 +6.0,23.5,0.02 +6.0,28.28,0.02 +6.0,34.15,0.013 +6.0,40.96,0.011 +6.0,50.75,0.015 +6.0,69.11,0.01 +7.31,20.29,0.024 +7.31,23.5,0.019 +7.31,28.28,0.013 +7.31,34.15,0.008 +7.31,40.96,0.007 +7.31,50.75,0.009 +7.31,69.11,0.006 +9.47,20.29,0.066 +9.47,23.5,0.062 +9.47,28.28,0.036 +9.47,34.15,0.017 +9.47,40.96,0.014 +9.47,50.75,0.018 +9.47,69.11,0.012 +11.33,20.29,0.077 +11.33,23.5,0.098 +11.33,28.28,0.07 +11.33,34.15,0.025 +11.33,40.96,0.013 +11.33,50.75,0.015 +11.33,69.11,0.01 +13.36,20.29,0.042 +13.36,23.5,0.106 +13.36,28.28,0.122 +13.36,34.15,0.068 +13.36,40.96,0.021 +13.36,50.75,0.017 +13.36,69.11,0.011 +15.74,20.29,0.014 +15.74,23.5,0.066 +15.74,28.28,0.12 +15.74,34.15,0.135 +15.74,40.96,0.061 +15.74,50.75,0.019 +15.74,69.11,0.009 +18.43,20.29,0.016 +18.43,23.5,0.033 +18.43,28.28,0.078 +18.43,34.15,0.138 +18.43,40.96,0.149 +18.43,50.75,0.055 +18.43,69.11,0.011 +21.49,20.29,0.013 +21.49,23.5,0.018 +21.49,28.28,0.038 +21.49,34.15,0.075 +21.49,40.96,0.16 +21.49,50.75,0.161 +21.49,69.11,0.011 +25.1,20.29,0.012 +25.1,23.5,0.015 +25.1,28.28,0.02 +25.1,34.15,0.03 +25.1,40.96,0.078 +25.1,50.75,0.236 +25.1,69.11,0.038 +29.17,20.29,0.007 +29.17,23.5,0.009 +29.17,28.28,0.01 +29.17,34.15,0.011 +29.17,40.96,0.024 +29.17,50.75,0.164 +29.17,69.11,0.168 +33.81,20.29,0.004 +33.81,23.5,0.005 +33.81,28.28,0.006 +33.81,34.15,0.005 +33.81,40.96,0.007 +33.81,50.75,0.057 +33.81,69.11,0.259 + diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table8SupplementalMaterial.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table8SupplementalMaterial.csv new file mode 100644 index 0000000000..73fb408e65 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/rawdata/Table8SupplementalMaterial.csv @@ -0,0 +1,86 @@ +#: table_doi: 10.17182/hepdata.104836.v1/t16 +#: name: Table 8 Supplemental Material +#: description: The correlation matrix for the point-to-point uncertainties coupling inclusive jet measurements with jets in the $|\eta|<0.5$ region with dijet measurements with the the $\textrm{sign}(\eta_1) \neq \textrm{sign}(\eta_2)$ topology. The $A_{LL}$ uncertainty contribution of $0.0007$ from uncertainty in the relative luminosity measurement and $6.1\%$ from the beam polarization uncertainty, which are common to all the data points, are separated from the listed values. +#: data_file: table_8_supplemental_material.yaml +#: keyword reactions: P P --> JET X | P P --> JET JET X +#: keyword observables: CORR +#: SQRT(S) [GeV],200 +Inclusive jet transverse momentum $p_T$ at the parton level ($|\eta|<0.5$) [GeV/$c$],Dijet invariant mass $M_{inv}$ at the parton level ($\textrm{sign}(\eta_1) \neq \textrm{sign}(\eta_2)$) [GeV/$c^2$],Correlation +6.0,20.48,0.022 +6.0,23.65,0.021 +6.0,28.5,0.02 +6.0,34.38,0.013 +6.0,41.38,0.011 +6.0,51.25,0.015 +6.0,69.96,0.007 +7.31,20.48,0.027 +7.31,23.65,0.022 +7.31,28.5,0.014 +7.31,34.38,0.008 +7.31,41.38,0.007 +7.31,51.25,0.009 +7.31,69.96,0.004 +9.47,20.48,0.075 +9.47,23.65,0.07 +9.47,28.5,0.042 +9.47,34.38,0.019 +9.47,41.38,0.013 +9.47,51.25,0.018 +9.47,69.96,0.009 +11.33,20.48,0.07 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+33.81,51.25,0.046 +33.81,69.96,0.248 + diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/uncertainties.yaml new file mode 100644 index 0000000000..1f69454720 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/uncertainties.yaml @@ -0,0 +1,990 @@ +definitions: + lumi: + description: luminosity uncertainty + treatment: ADD + type: STAR2015LUMI + pol: + description: polarization uncertainty + treatment: MULT + type: STAR2015POL + sys_0: + description: 0 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015JETunc0 + sys_1: + description: 1 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015JETunc1 + sys_2: + description: 2 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015JETunc2 + sys_3: + description: 3 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015JETunc3 + sys_4: + description: 4 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015JETunc4 + sys_5: + description: 5 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015JETunc5 + sys_6: + description: 6 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015JETunc6 + sys_7: + description: 7 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015JETunc7 + sys_8: + description: 8 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015JETunc8 + sys_9: + description: 9 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015JETunc9 + sys_10: + description: 10 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015JETunc10 + sys_11: + description: 11 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015JETunc11 + sys_12: + description: 12 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015JETunc12 + sys_13: + description: 13 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015JETunc13 + sys_14: + description: 14 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015JETunc14 + sys_15: + description: 15 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015JETunc15 + sys_16: + description: 16 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015JETunc16 + sys_17: + description: 17 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015JETunc17 + sys_18: + description: 18 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015JETunc18 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a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_OS_200GEV/data.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_OS_200GEV/data.yaml new file mode 100644 index 0000000000..7fcb4963f4 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_OS_200GEV/data.yaml @@ -0,0 +1,8 @@ +data_central: +- 0.0067 +- 0.0024 +- 0.0052 +- 0.011 +- 0.0201 +- 0.024 +- 0.0934 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_OS_200GEV/kinematics.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_OS_200GEV/kinematics.yaml new file mode 100644 index 0000000000..de1e3b24f5 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_OS_200GEV/kinematics.yaml @@ -0,0 +1,57 @@ +bins: +- m_jj: + max: 21.1 + mid: 20.48 + min: 19.86 + sqrts: + max: null + mid: 200.0 + min: null +- m_jj: + max: 24.24 + mid: 23.65 + min: 23.06 + sqrts: + max: null + mid: 200.0 + min: null +- m_jj: + max: 29.19 + mid: 28.5 + min: 27.81 + sqrts: + max: null + mid: 200.0 + min: null +- m_jj: + max: 35.17 + mid: 34.38 + min: 33.59 + sqrts: + max: null + mid: 200.0 + min: null +- m_jj: + max: 42.300000000000004 + mid: 41.38 + min: 40.46 + sqrts: + max: null + mid: 200.0 + min: null +- m_jj: + max: 52.33 + mid: 51.25 + min: 50.17 + sqrts: + max: null + mid: 200.0 + min: null +- m_jj: + max: 71.27 + mid: 69.96 + min: 68.64999999999999 + sqrts: + max: null + mid: 200.0 + min: null diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_OS_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_OS_200GEV/metadata.yaml new file mode 100644 index 0000000000..c93fd4edc9 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_OS_200GEV/metadata.yaml @@ -0,0 +1,39 @@ +setname: "STAR_2015_2JET_OS_200GEV" + +nnpdf_metadata: + experiment: "STAR" + nnpdf31_process: "DIJET" + +iNSPIRE: + url: "https://inspirehep.net/literature/1850855" +hepdata: + url: "https://www.hepdata.net/record/ins1850855" + version: 1 + +version: 1 +version_comment: "Initial implementation" + +implemented_observables: + - observable: { description: "ALL as function of $M_{inv}$, opposite sign $\eta$ topology", label: "$A_{LL}$", units: "" } + observable_name: ALL + process_type: DIJET_POL + ndata: 7 + tables: [2] + kinematics: + variables: + m_jj: {description: "dijet mass", label: "$m_{jj}$", units: "GeV"} + sqrts: {description: "center of mass energy", label: r"$\sqrt(s)$", units: "GeV"} + file: kinematics.yaml + kinematic_coverage: [m_jj, sqrts] + data_central: data.yaml + data_uncertainties: + - uncertainties.yaml + plotting: + dataset_label: r"STAR 200 GeV (2015) DIJET $A_{LL}$, opposite sign $\eta$ topology" + kinematics_override: identity + plot_x: m_jj + x_scale: log + y_label: "$A_{LL}$" + theory: + FK_tables: + - - STAR_2015_2JJET_OS_510GEV_ALL diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_OS_200GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_OS_200GEV/uncertainties.yaml new file mode 100644 index 0000000000..5906e64bab --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_OS_200GEV/uncertainties.yaml @@ -0,0 +1,431 @@ +definitions: + stat: + description: statistical uncertainty + treatment: ADD + type: UNCORR + lumi: + description: luminosity uncertainty + treatment: ADD + type: STAR2015LUMI + pol: + description: polarization uncertainty + treatment: MULT + type: STAR2015POL + sys_0: + description: 0 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015JETunc0 + sys_1: + description: 1 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015JETunc1 + sys_2: + description: 2 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015JETunc2 + sys_3: + description: 3 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015JETunc3 + sys_4: + description: 4 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015JETunc4 + sys_5: + description: 5 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015JETunc5 + sys_6: + description: 6 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015JETunc6 + sys_7: + description: 7 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015JETunc7 + sys_8: + description: 8 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015JETunc8 + sys_9: + description: 9 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015JETunc9 + sys_10: + description: 10 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015JETunc10 + sys_11: + description: 11 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015JETunc11 + sys_12: + description: 12 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015JETunc12 + sys_13: + description: 13 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015JETunc13 + sys_14: + description: 14 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015JETunc14 + sys_15: + description: 15 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015JETunc15 + sys_16: + description: 16 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015JETunc16 + sys_17: + description: 17 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015JETunc17 + sys_18: + description: 18 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015JETunc18 + sys_19: + description: 19 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015JETunc19 + sys_20: + description: 20 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015JETunc20 + sys_21: + description: 21 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015JETunc21 + sys_22: + description: 22 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015JETunc22 + sys_23: + description: 23 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015JETunc23 + sys_24: + description: 24 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015JETunc24 + sys_25: + description: 25 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015JETunc25 + sys_26: + description: 26 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015JETunc26 + sys_27: + description: 27 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015JETunc27 + sys_28: + description: 28 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015JETunc28 + sys_29: + description: 29 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015JETunc29 + sys_30: + description: 30 artificial correlated systematics uncertainty + treatment: ADD + type: 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19.759999999999998 + sqrts: + max: null + mid: 200.0 + min: null +- m_jj: + max: 24.11 + mid: 23.5 + min: 22.89 + sqrts: + max: null + mid: 200.0 + min: null +- m_jj: + max: 28.94 + mid: 28.28 + min: 27.62 + sqrts: + max: null + mid: 200.0 + min: null +- m_jj: + max: 34.93 + mid: 34.15 + min: 33.37 + sqrts: + max: null + mid: 200.0 + min: null +- m_jj: + max: 41.85 + mid: 40.96 + min: 40.07 + sqrts: + max: null + mid: 200.0 + min: null +- m_jj: + max: 51.78 + mid: 50.75 + min: 49.72 + sqrts: + max: null + mid: 200.0 + min: null +- m_jj: + max: 70.42 + mid: 69.11 + min: 67.8 + sqrts: + max: null + mid: 200.0 + min: null diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_SS_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_SS_200GEV/metadata.yaml new file mode 100644 index 0000000000..2f79c16f39 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_SS_200GEV/metadata.yaml @@ -0,0 +1,39 @@ +setname: "STAR_2015_2JET_SS_200GEV" + +nnpdf_metadata: + experiment: "STAR" + nnpdf31_process: "DIJET" + +iNSPIRE: + url: "https://inspirehep.net/literature/1850855" +hepdata: + url: "https://www.hepdata.net/record/ins1850855" + version: 1 + +version: 1 +version_comment: "Initial implementation" + +implemented_observables: + - observable: { description: "ALL as function of $M_{inv}$, same sign $\eta$ topology", label: "$A_{LL}$", units: "" } + observable_name: ALL + process_type: DIJET_POL + ndata: 7 + tables: [2] + kinematics: + variables: + m_jj: {description: "dijet mass", label: "$m_{jj}$", units: "GeV"} + sqrts: {description: "center of mass energy", label: r"$\sqrt(s)$", units: "GeV"} + file: kinematics.yaml + kinematic_coverage: [m_jj, sqrts] + data_central: data.yaml + data_uncertainties: + - uncertainties.yaml + plotting: + dataset_label: r"STAR 200 GeV (2015) DIJET $A_{LL}$, same sign $\eta$ topology" + kinematics_override: identity + plot_x: m_jj + x_scale: log + y_label: "$A_{LL}$" + theory: + FK_tables: + - - STAR_2015_2JJET_SS_510GEV_ALL diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_SS_200GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_SS_200GEV/uncertainties.yaml new file mode 100644 index 0000000000..211c4e9394 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_SS_200GEV/uncertainties.yaml @@ -0,0 +1,431 @@ +definitions: + stat: + description: statistical uncertainty + treatment: ADD + type: UNCORR + lumi: + description: luminosity uncertainty + treatment: ADD + type: STAR2015LUMI + pol: + description: polarization uncertainty + treatment: MULT + type: STAR2015POL + sys_0: + description: 0 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015JETunc0 + sys_1: + description: 1 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015JETunc1 + sys_2: + description: 2 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015JETunc2 + sys_3: + description: 3 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015JETunc3 + sys_4: + description: 4 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015JETunc4 + sys_5: + description: 5 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015JETunc5 + sys_6: + description: 6 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015JETunc6 + sys_7: + description: 7 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015JETunc7 + sys_8: + description: 8 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015JETunc8 + sys_9: + description: 9 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015JETunc9 + sys_10: + description: 10 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015JETunc10 + sys_11: + description: 11 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015JETunc11 + sys_12: + description: 12 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015JETunc12 + sys_13: + description: 13 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015JETunc13 + sys_14: + description: 14 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015JETunc14 + sys_15: + description: 15 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015JETunc15 + sys_16: + description: 16 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015JETunc16 + sys_17: + description: 17 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015JETunc17 + sys_18: + description: 18 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015JETunc18 + sys_19: + description: 19 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2015JETunc19 + sys_20: + description: 20 artificial correlated systematics uncertainty 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-8.699164389319231e-07 + sys_24: 2.4204943149963057e-05 + sys_25: -3.7156615201748225e-06 + sys_26: 1.749179619738508e-05 + sys_27: 3.534730483972865e-07 + sys_28: 1.349183196534521e-07 + sys_29: -7.779631996597293e-08 + sys_30: 6.633292161656245e-07 + sys_31: 1.054976034309479e-06 + sys_32: -3.378806930895894e-07 + sys_33: 2.2001974670195147e-06 + sys_34: -7.33634436311964e-07 + sys_35: -5.440401898597821e-06 + stat: 0.0418 + lumi: 0.0007 + pol: 0.13908 diff --git a/validphys2/src/validphys/process_options.py b/validphys2/src/validphys/process_options.py index 6c93a66cc0..686e17b392 100644 --- a/validphys2/src/validphys/process_options.py +++ b/validphys2/src/validphys/process_options.py @@ -32,6 +32,7 @@ class _Vars: m_ttBar = "m_ttBar" eta = "eta" m_W2 = "m_W2" + abs_eta = "abs_eta" class _KinematicsInformation: @@ -241,7 +242,7 @@ def _dywboson_xq2map(kin_dict): JET_POL = _Process( "JET_POL", "Longitudinal double-spin asymmetry in inclusive jet production", - accepted_variables=(_Vars.eta, _Vars.pT, _Vars.sqrts), + accepted_variables=(_Vars.eta, _Vars.pT, _Vars.sqrts, _Vars.abs_eta), xq2map_function=_jets_xq2map, ) From 42d413529365a0ef8f58891bce255d785b468e57 Mon Sep 17 00:00:00 2001 From: toonhasenack Date: Wed, 24 Apr 2024 11:45:35 +0200 Subject: [PATCH 18/70] STAR_2009_2JET implementation with only correlations to go --- .../STAR_2009_2JET_A_200GEV/data.yaml | 6 ++ .../STAR_2009_2JET_A_200GEV/filter.py | 85 +++++++++++++++++++ .../STAR_2009_2JET_A_200GEV/kinematics.yaml | 41 +++++++++ .../STAR_2009_2JET_A_200GEV/metadata.yaml | 49 +++++++++++ .../rawdata/Figure9_Bottom.yaml | 34 ++++++++ .../uncertainties.yaml | 20 +++++ .../STAR_2009_2JET_B_200GEV/data.yaml | 8 ++ .../STAR_2009_2JET_B_200GEV/filter.py | 85 +++++++++++++++++++ .../STAR_2009_2JET_B_200GEV/kinematics.yaml | 57 +++++++++++++ .../STAR_2009_2JET_B_200GEV/metadata.yaml | 49 +++++++++++ .../rawdata/Figure9_Top.yaml | 44 ++++++++++ .../uncertainties.yaml | 24 ++++++ .../STAR_2009_2JET_C_200GEV/data.yaml | 8 ++ .../STAR_2009_2JET_C_200GEV/filter.py | 85 +++++++++++++++++++ .../STAR_2009_2JET_C_200GEV/kinematics.yaml | 57 +++++++++++++ .../STAR_2009_2JET_C_200GEV/metadata.yaml | 49 +++++++++++ .../rawdata/Figure9_Mid.yaml | 44 ++++++++++ .../uncertainties.yaml | 24 ++++++ 18 files changed, 769 insertions(+) create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/data.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/filter.py create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/kinematics.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/metadata.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/rawdata/Figure9_Bottom.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/uncertainties.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/data.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/filter.py create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/kinematics.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/metadata.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/rawdata/Figure9_Top.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/uncertainties.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/data.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/filter.py create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/kinematics.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/metadata.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/rawdata/Figure9_Mid.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/uncertainties.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/data.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/data.yaml new file mode 100644 index 0000000000..e0a271f93e --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/data.yaml @@ -0,0 +1,6 @@ +data_central: +- 0.0019 +- -0.0069 +- 0.0212 +- 0.043 +- 0.078 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/filter.py b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/filter.py new file mode 100644 index 0000000000..101ba76767 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/filter.py @@ -0,0 +1,85 @@ +import glob + +import pandas as pd +import yaml + + +def read_data(fnames): + df = pd.DataFrame() + for fname in fnames: + with open(fname, "r") as file: + data = yaml.safe_load(file) + + Msub = data["independent_variables"][0]["values"] + Gsub = data["dependent_variables"][0]["values"] + + for i in range(len(Msub)): + + df = pd.concat( + [ + df, + pd.DataFrame( + { + "m_low": [Msub[i]["low"]], + "m_high": [Msub[i]["high"]], + "G": [Gsub[i]["value"]], + "stat": [Gsub[i]["errors"][0]["symerror"]], + "sys": [Gsub[i]["errors"][1]["symerror"]], + } + ), + ], + ignore_index=True, + ) + + return df + + +def write_data(df): + data_central = [] + for i in range(len(df["G"])): + data_central.append(float(df.loc[i, "G"])) + + data_central_yaml = {"data_central": data_central} + with open("data.yaml", "w") as file: + yaml.dump(data_central_yaml, file, sort_keys=False) + + # Write kin file + kin = [] + for i in range(len(df["G"])): + kin_value = { + "m_jj": { + "min": float(df.loc[i, "m_low"]), + "mid": None, + "max": float(df.loc[i, "m_high"]), + }, + "sqrts": {"min": None, "mid": 200, "max": None}, + } + kin.append(kin_value) + + kinematics_yaml = {"bins": kin} + + with open("kinematics.yaml", "w") as file: + yaml.dump(kinematics_yaml, file, sort_keys=False) + + # Write unc file + error = [] + for idx, i in enumerate(range(len(df))): + e = {"stat": float(df.loc[i, "stat"]), "sys": float(df.loc[i, "sys"])} + error.append(e) + + error_definition = { + "stat": {"description": "statistical uncertainty", "treatment": "ADD", "type": "UNCORR"}, + "sys": {"description": "systematic uncertainty", "treatment": "ADD", "type": "UNCORR"}, + } + + uncertainties_yaml = {"definitions": error_definition, "bins": error} + + with open("uncertainties.yaml", "w") as file: + yaml.dump(uncertainties_yaml, file, sort_keys=False) + + +if __name__ == "__main__": + fnames = glob.glob("rawdata/*.yaml") + nnames = sorted([i for i in fnames]) + df = read_data(nnames) + write_data(df) diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/kinematics.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/kinematics.yaml new file mode 100644 index 0000000000..5d726a28bc --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/kinematics.yaml @@ -0,0 +1,41 @@ +bins: +- m_jj: + min: 17.62 + mid: null + max: 19.38 + sqrts: + min: null + mid: 200 + max: null +- m_jj: + min: 20.5 + mid: null + max: 22.9 + sqrts: + min: null + mid: 200 + max: null +- m_jj: + min: 25.03 + mid: null + max: 27.59 + sqrts: + min: null + mid: 200 + max: null +- m_jj: + min: 30.0 + mid: null + max: 33.48 + sqrts: + min: null + mid: 200 + max: null +- m_jj: + min: 37.37 + mid: null + max: 40.39 + sqrts: + min: null + mid: 200 + max: null diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/metadata.yaml new file mode 100644 index 0000000000..58d18669e4 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/metadata.yaml @@ -0,0 +1,49 @@ +setname: "STAR_2009_2JET_A_200GEV" + +nnpdf_metadata: + experiment: "STAR" + nnpdf31_process: "DIJET" + +iNSPIRE: + url: "https://inspirehep.net/literature/1949588" +hepdata: + url: "https://www.hepdata.net/record/ins1949588" + version: 1 + +version: 1 +version_comment: "Initial implementation" + +implemented_observables: + - observable: + { + description: "ALL as function of $M_{inv}$, topology A", + label: "$A_{LL}$", + units: "", + } + observable_name: ALL + process_type: DIJET_POL + ndata: 12 + tables: [5] + kinematics: + variables: + m_jj: { description: "dijet mass", label: "$m_{jj}$", units: "GeV" } + sqrts: + { + description: "center of mass energy", + label: r"$\sqrt(s)$", + units: "GeV", + } + file: kinematics.yaml + kinematic_coverage: [m_jj, sqrts] + data_central: data.yaml + data_uncertainties: + - uncertainties.yaml + plotting: + dataset_label: "STAR 200 GeV (2009) DIJET $A_{LL}$, topology A" + kinematics_override: identity + plot_x: m_jj + x_scale: log + y_label: "$A_{LL}$" + theory: + FK_tables: + - - STAR_2009_2JET_A_200GEV_ALL diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/rawdata/Figure9_Bottom.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/rawdata/Figure9_Bottom.yaml new file mode 100644 index 0000000000..ef946d92e2 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/rawdata/Figure9_Bottom.yaml @@ -0,0 +1,34 @@ +dependent_variables: +- header: {name: 'Dijet $A_{LL}$'} + qualifiers: + - {name: 'Parton Level Dijet Invariant Mass $[\mathrm{GeV}/c^{2}]$', value: Endcap + Endcap} + values: + - errors: + - {label: stat, symerror: 0.007} + - {label: sys, symerror: 0.002} + value: 0.0019 + - errors: + - {label: stat, symerror: 0.007} + - {label: sys, symerror: 0.0024} + value: -0.0069 + - errors: + - {label: stat, symerror: 0.01} + - {label: sys, symerror: 0.0016} + value: 0.0212 + - errors: + - {label: stat, symerror: 0.019} + - {label: sys, symerror: 0.005} + value: 0.043 + - errors: + - {label: stat, symerror: 0.05} + - {label: sys, symerror: 0.007} + value: 0.078 +independent_variables: +- header: {name: 'Parton Level Dijet Invariant Mass $[\mathrm{GeV}/c^{2}]$'} + values: + - {high: 19.38, low: 17.62} + - {high: 22.9, low: 20.5} + - {high: 27.59, low: 25.03} + - {high: 33.48, low: 30.0} + - {high: 40.39, low: 37.37} diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/uncertainties.yaml new file mode 100644 index 0000000000..60987a1e31 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/uncertainties.yaml @@ -0,0 +1,20 @@ +definitions: + stat: + description: statistical uncertainty + treatment: ADD + type: UNCORR + sys: + description: systematic uncertainty + treatment: ADD + type: UNCORR +bins: +- stat: 0.007 + sys: 0.002 +- stat: 0.007 + sys: 0.0024 +- stat: 0.01 + sys: 0.0016 +- stat: 0.019 + sys: 0.005 +- stat: 0.05 + sys: 0.007 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/data.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/data.yaml new file mode 100644 index 0000000000..ee5207be44 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/data.yaml @@ -0,0 +1,8 @@ +data_central: +- -0.0178 +- 0.0058 +- 0.0048 +- 0.0017 +- -0.0078 +- 0.0099 +- 0.012 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/filter.py b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/filter.py new file mode 100644 index 0000000000..101ba76767 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/filter.py @@ -0,0 +1,85 @@ +import glob + +import pandas as pd +import yaml + + +def read_data(fnames): + df = pd.DataFrame() + for fname in fnames: + with open(fname, "r") as file: + data = yaml.safe_load(file) + + Msub = data["independent_variables"][0]["values"] + Gsub = data["dependent_variables"][0]["values"] + + for i in range(len(Msub)): + + df = pd.concat( + [ + df, + pd.DataFrame( + { + "m_low": [Msub[i]["low"]], + "m_high": [Msub[i]["high"]], + "G": [Gsub[i]["value"]], + "stat": [Gsub[i]["errors"][0]["symerror"]], + "sys": [Gsub[i]["errors"][1]["symerror"]], + } + ), + ], + ignore_index=True, + ) + + return df + + +def write_data(df): + data_central = [] + for i in range(len(df["G"])): + data_central.append(float(df.loc[i, "G"])) + + data_central_yaml = {"data_central": data_central} + with open("data.yaml", "w") as file: + yaml.dump(data_central_yaml, file, sort_keys=False) + + # Write kin file + kin = [] + for i in range(len(df["G"])): + kin_value = { + "m_jj": { + "min": float(df.loc[i, "m_low"]), + "mid": None, + "max": float(df.loc[i, "m_high"]), + }, + "sqrts": {"min": None, "mid": 200, "max": None}, + } + kin.append(kin_value) + + kinematics_yaml = {"bins": kin} + + with open("kinematics.yaml", "w") as file: + yaml.dump(kinematics_yaml, file, sort_keys=False) + + # Write unc file + error = [] + for idx, i in enumerate(range(len(df))): + e = {"stat": float(df.loc[i, "stat"]), "sys": float(df.loc[i, "sys"])} + error.append(e) + + error_definition = { + "stat": {"description": "statistical uncertainty", "treatment": "ADD", "type": "UNCORR"}, + "sys": {"description": "systematic uncertainty", "treatment": "ADD", "type": "UNCORR"}, + } + + uncertainties_yaml = {"definitions": error_definition, "bins": error} + + with open("uncertainties.yaml", "w") as file: + yaml.dump(uncertainties_yaml, file, sort_keys=False) + + +if __name__ == "__main__": + fnames = glob.glob("rawdata/*.yaml") + nnames = sorted([i for i in fnames]) + df = read_data(nnames) + write_data(df) diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/kinematics.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/kinematics.yaml new file mode 100644 index 0000000000..17497d6cc1 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/kinematics.yaml @@ -0,0 +1,57 @@ +bins: +- m_jj: + min: 17.06 + mid: null + max: 19.82 + sqrts: + min: null + mid: 200 + max: null +- m_jj: + min: 21.12 + mid: null + max: 23.1 + sqrts: + min: null + mid: 200 + max: null +- m_jj: + min: 25.41 + mid: null + max: 27.73 + sqrts: + min: null + mid: 200 + max: null +- m_jj: + min: 30.66 + mid: null + max: 33.76 + sqrts: + min: null + mid: 200 + max: null +- m_jj: + min: 36.95 + mid: null + max: 39.75 + sqrts: + min: null + mid: 200 + max: null +- m_jj: + min: 46.36 + mid: null + max: 49.66 + sqrts: + min: null + mid: 200 + max: null +- m_jj: + min: 63.58 + mid: null + max: 67.88 + sqrts: + min: null + mid: 200 + max: null diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/metadata.yaml new file mode 100644 index 0000000000..461ccf9857 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/metadata.yaml @@ -0,0 +1,49 @@ +setname: "STAR_2009_2JET_B_200GEV" + +nnpdf_metadata: + experiment: "STAR" + nnpdf31_process: "DIJET" + +iNSPIRE: + url: "https://inspirehep.net/literature/1949588" +hepdata: + url: "https://www.hepdata.net/record/ins1949588" + version: 1 + +version: 1 +version_comment: "Initial implementation" + +implemented_observables: + - observable: + { + description: "ALL as function of $M_{inv}$, topology B", + label: "$A_{LL}$", + units: "", + } + observable_name: ALL + process_type: DIJET_POL + ndata: 12 + tables: [5] + kinematics: + variables: + m_jj: { description: "dijet mass", label: "$m_{jj}$", units: "GeV" } + sqrts: + { + description: "center of mass energy", + label: r"$\sqrt(s)$", + units: "GeV", + } + file: kinematics.yaml + kinematic_coverage: [m_jj, sqrts] + data_central: data.yaml + data_uncertainties: + - uncertainties.yaml + plotting: + dataset_label: "STAR 200 GeV (2009) DIJET $A_{LL}$, topology B" + kinematics_override: identity + plot_x: m_jj + x_scale: log + y_label: "$A_{LL}$" + theory: + FK_tables: + - - STAR_2009_2JET_B_200GEV_ALL diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/rawdata/Figure9_Top.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/rawdata/Figure9_Top.yaml new file mode 100644 index 0000000000..f3823ff792 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/rawdata/Figure9_Top.yaml @@ -0,0 +1,44 @@ +dependent_variables: +- header: {name: 'Dijet $A_{LL}$'} + qualifiers: + - {name: 'Parton Level Dijet Invariant Mass $[\mathrm{GeV}/c^{2}]$', value: East-Barrel + Endcap} + values: + - errors: + - {label: stat, symerror: 0.011} + - {label: sys, symerror: 0.001} + value: -0.0178 + - errors: + - {label: stat, symerror: 0.005} + - {label: sys, symerror: 0.0015} + value: 0.0058 + - errors: + - {label: stat, symerror: 0.004} + - {label: sys, symerror: 0.0016} + value: 0.0048 + - errors: + - {label: stat, symerror: 0.004} + - {label: sys, symerror: 0.0013} + value: 0.0017 + - errors: + - {label: stat, symerror: 0.006} + - {label: sys, symerror: 0.0017} + value: -0.0078 + - errors: + - {label: stat, symerror: 0.008} + - {label: sys, symerror: 0.0027} + value: 0.0099 + - errors: + - {label: stat, symerror: 0.03} + - {label: sys, symerror: 0.007} + value: 0.012 +independent_variables: +- header: {name: 'Parton Level Dijet Invariant Mass $[\mathrm{GeV}/c^{2}]$'} + values: + - {high: 19.82, low: 17.06} + - {high: 23.1, low: 21.12} + - {high: 27.73, low: 25.41} + - {high: 33.76, low: 30.66} + - {high: 39.75, low: 36.95} + - {high: 49.66, low: 46.36} + - {high: 67.88, low: 63.58} diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/uncertainties.yaml new file mode 100644 index 0000000000..ef5c867b0c --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/uncertainties.yaml @@ -0,0 +1,24 @@ +definitions: + stat: + description: statistical uncertainty + treatment: ADD + type: UNCORR + sys: + description: systematic uncertainty + treatment: ADD + type: UNCORR +bins: +- stat: 0.011 + sys: 0.001 +- stat: 0.005 + sys: 0.0015 +- stat: 0.004 + sys: 0.0016 +- stat: 0.004 + sys: 0.0013 +- stat: 0.006 + sys: 0.0017 +- stat: 0.008 + sys: 0.0027 +- stat: 0.03 + sys: 0.007 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/data.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/data.yaml new file mode 100644 index 0000000000..ca01f4b281 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/data.yaml @@ -0,0 +1,8 @@ +data_central: +- -0.0034 +- 0.0131 +- 0.0027 +- 0.0066 +- 0.0209 +- 0.011 +- 0.031 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/filter.py b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/filter.py new file mode 100644 index 0000000000..101ba76767 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/filter.py @@ -0,0 +1,85 @@ +import glob + +import pandas as pd +import yaml + + +def read_data(fnames): + df = pd.DataFrame() + for fname in fnames: + with open(fname, "r") as file: + data = yaml.safe_load(file) + + Msub = data["independent_variables"][0]["values"] + Gsub = data["dependent_variables"][0]["values"] + + for i in range(len(Msub)): + + df = pd.concat( + [ + df, + pd.DataFrame( + { + "m_low": [Msub[i]["low"]], + "m_high": [Msub[i]["high"]], + "G": [Gsub[i]["value"]], + "stat": [Gsub[i]["errors"][0]["symerror"]], + "sys": [Gsub[i]["errors"][1]["symerror"]], + } + ), + ], + ignore_index=True, + ) + + return df + + +def write_data(df): + data_central = [] + for i in range(len(df["G"])): + data_central.append(float(df.loc[i, "G"])) + + data_central_yaml = {"data_central": data_central} + with open("data.yaml", "w") as file: + yaml.dump(data_central_yaml, file, sort_keys=False) + + # Write kin file + kin = [] + for i in range(len(df["G"])): + kin_value = { + "m_jj": { + "min": float(df.loc[i, "m_low"]), + "mid": None, + "max": float(df.loc[i, "m_high"]), + }, + "sqrts": {"min": None, "mid": 200, "max": None}, + } + kin.append(kin_value) + + kinematics_yaml = {"bins": kin} + + with open("kinematics.yaml", "w") as file: + yaml.dump(kinematics_yaml, file, sort_keys=False) + + # Write unc file + error = [] + for idx, i in enumerate(range(len(df))): + e = {"stat": float(df.loc[i, "stat"]), "sys": float(df.loc[i, "sys"])} + error.append(e) + + error_definition = { + "stat": {"description": "statistical uncertainty", "treatment": "ADD", "type": "UNCORR"}, + "sys": {"description": "systematic uncertainty", "treatment": "ADD", "type": "UNCORR"}, + } + + uncertainties_yaml = {"definitions": error_definition, "bins": error} + + with open("uncertainties.yaml", "w") as file: + yaml.dump(uncertainties_yaml, file, sort_keys=False) + + +if __name__ == "__main__": + fnames = glob.glob("rawdata/*.yaml") + nnames = sorted([i for i in fnames]) + df = read_data(nnames) + write_data(df) diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/kinematics.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/kinematics.yaml new file mode 100644 index 0000000000..2122d767e6 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/kinematics.yaml @@ -0,0 +1,57 @@ +bins: +- m_jj: + min: 17.31 + mid: null + max: 19.71 + sqrts: + min: null + mid: 200 + max: null +- m_jj: + min: 20.62 + mid: null + max: 22.94 + sqrts: + min: null + mid: 200 + max: null +- m_jj: + min: 24.83 + mid: null + max: 27.21 + sqrts: + min: null + mid: 200 + max: null +- m_jj: + min: 29.42 + mid: null + max: 32.16 + sqrts: + min: null + mid: 200 + max: null +- m_jj: + min: 36.62 + mid: null + max: 39.28 + sqrts: + min: null + mid: 200 + max: null +- m_jj: + min: 44.88 + mid: null + max: 47.98 + sqrts: + min: null + mid: 200 + max: null +- m_jj: + min: 59.6 + mid: null + max: 66.04 + sqrts: + min: null + mid: 200 + max: null diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/metadata.yaml new file mode 100644 index 0000000000..6e966a7071 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/metadata.yaml @@ -0,0 +1,49 @@ +setname: "STAR_2009_2JET_C_200GEV" + +nnpdf_metadata: + experiment: "STAR" + nnpdf31_process: "DIJET" + +iNSPIRE: + url: "https://inspirehep.net/literature/1949588" +hepdata: + url: "https://www.hepdata.net/record/ins1949588" + version: 1 + +version: 1 +version_comment: "Initial implementation" + +implemented_observables: + - observable: + { + description: "ALL as function of $M_{inv}$, topology C", + label: "$A_{LL}$", + units: "", + } + observable_name: ALL + process_type: DIJET_POL + ndata: 12 + tables: [5] + kinematics: + variables: + m_jj: { description: "dijet mass", label: "$m_{jj}$", units: "GeV" } + sqrts: + { + description: "center of mass energy", + label: r"$\sqrt(s)$", + units: "GeV", + } + file: kinematics.yaml + kinematic_coverage: [m_jj, sqrts] + data_central: data.yaml + data_uncertainties: + - uncertainties.yaml + plotting: + dataset_label: "STAR 200 GeV (2009) DIJET $A_{LL}$, topology C" + kinematics_override: identity + plot_x: m_jj + x_scale: log + y_label: "$A_{LL}$" + theory: + FK_tables: + - - STAR_2009_2JET_C_200GEV_ALL diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/rawdata/Figure9_Mid.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/rawdata/Figure9_Mid.yaml new file mode 100644 index 0000000000..5c094c43a8 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/rawdata/Figure9_Mid.yaml @@ -0,0 +1,44 @@ +dependent_variables: +- header: {name: 'Dijet $A_{LL}$'} + qualifiers: + - {name: 'Parton Level Dijet Invariant Mass $[\mathrm{GeV}/c^{2}]$', value: West-Barrel + Endcap} + values: + - errors: + - {label: stat, symerror: 0.005} + - {label: sys, symerror: 0.0012} + value: -0.0034 + - errors: + - {label: stat, symerror: 0.004} + - {label: sys, symerror: 0.0015} + value: 0.0131 + - errors: + - {label: stat, symerror: 0.004} + - {label: sys, symerror: 0.0007} + value: 0.0027 + - errors: + - {label: stat, symerror: 0.006} + - {label: sys, symerror: 0.0015} + value: 0.0066 + - errors: + - {label: stat, symerror: 0.01} + - {label: sys, symerror: 0.0019} + value: 0.0209 + - errors: + - {label: stat, symerror: 0.016} + - {label: sys, symerror: 0.004} + value: 0.011 + - errors: + - {label: stat, symerror: 0.09} + - {label: sys, symerror: 0.006} + value: 0.031 +independent_variables: +- header: {name: 'Parton Level Dijet Invariant Mass $[\mathrm{GeV}/c^{2}]$'} + values: + - {high: 19.71, low: 17.31} + - {high: 22.94, low: 20.62} + - {high: 27.21, low: 24.83} + - {high: 32.16, low: 29.42} + - {high: 39.28, low: 36.62} + - {high: 47.98, low: 44.88} + - {high: 66.04, low: 59.6} diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/uncertainties.yaml new file mode 100644 index 0000000000..43934dead9 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/uncertainties.yaml @@ -0,0 +1,24 @@ +definitions: + stat: + description: statistical uncertainty + treatment: ADD + type: UNCORR + sys: + description: systematic uncertainty + treatment: ADD + type: UNCORR +bins: +- stat: 0.005 + sys: 0.0012 +- stat: 0.004 + sys: 0.0015 +- stat: 0.004 + sys: 0.0007 +- stat: 0.006 + sys: 0.0015 +- stat: 0.01 + sys: 0.0019 +- stat: 0.016 + sys: 0.004 +- stat: 0.09 + sys: 0.006 From 73d93f7bc2ead978ddf30e7a7e9c4947bc56b5e1 Mon Sep 17 00:00:00 2001 From: giacomomagni Date: Wed, 24 Apr 2024 13:56:49 +0200 Subject: [PATCH 19/70] fix 2009 dijet and implement 2012 --- .../star/jet_dijet_2012_510gev.py | 290 +++++ .../star/jet_dijet_2013_510gev.py | 5 +- .../star/jet_dijet_2015_200gev.py | 25 +- .../STAR_2009_2JET_A_200GEV/metadata.yaml | 4 +- .../STAR_2009_2JET_B_200GEV/metadata.yaml | 4 +- .../STAR_2009_2JET_C_200GEV/metadata.yaml | 4 +- .../STAR_2012_1JET_510GEV/data.yaml | 15 + .../STAR_2012_1JET_510GEV/kinematics.yaml | 169 +++ .../STAR_2012_1JET_510GEV/metadata.yaml | 52 + .../rawdata/Figure12(Run12).csv | 22 + .../rawdata/Figure14(b,A,data).csv | 18 + .../rawdata/Figure14(b,B,data).csv | 19 + .../rawdata/Figure14(b,C,data).csv | 18 + .../rawdata/Figure14(b,D,data).csv | 19 + .../rawdata/corrAVsA.tex | 18 + .../rawdata/corrAVsB.tex | 18 + .../rawdata/corrAVsC.tex | 18 + .../rawdata/corrAVsD.tex | 18 + .../rawdata/corrBVsB.tex | 19 + .../rawdata/corrBVsC.tex | 19 + .../rawdata/corrBVsD.tex | 19 + .../rawdata/corrCVsC.tex | 18 + .../rawdata/corrCVsD.tex | 18 + .../rawdata/corrDVsD.tex | 19 + .../rawdata/corrIVsA.tex | 22 + .../rawdata/corrIVsB.tex | 22 + .../rawdata/corrIVsC.tex | 22 + .../rawdata/corrIVsD.tex | 22 + .../rawdata/corrIVsI.tex | 22 + .../STAR_2012_1JET_510GEV/uncertainties.yaml | 1046 +++++++++++++++++ .../STAR_2012_2JET_A_510GEV/data.yaml | 11 + .../STAR_2012_2JET_A_510GEV/kinematics.yaml | 81 ++ .../STAR_2012_2JET_A_510GEV/metadata.yaml | 41 + .../uncertainties.yaml | 828 +++++++++++++ .../STAR_2012_2JET_B_510GEV/data.yaml | 12 + .../STAR_2012_2JET_B_510GEV/kinematics.yaml | 89 ++ .../STAR_2012_2JET_B_510GEV/metadata.yaml | 41 + .../uncertainties.yaml | 887 ++++++++++++++ .../STAR_2012_2JET_C_510GEV/data.yaml | 11 + .../STAR_2012_2JET_C_510GEV/kinematics.yaml | 81 ++ .../STAR_2012_2JET_C_510GEV/metadata.yaml | 41 + .../uncertainties.yaml | 828 +++++++++++++ .../STAR_2012_2JET_D_510GEV/data.yaml | 12 + .../STAR_2012_2JET_D_510GEV/kinematics.yaml | 89 ++ .../STAR_2012_2JET_D_510GEV/metadata.yaml | 41 + .../uncertainties.yaml | 887 ++++++++++++++ 46 files changed, 5966 insertions(+), 18 deletions(-) create mode 100644 nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2012_510gev.py create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/data.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/kinematics.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/metadata.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/Figure12(Run12).csv create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/Figure14(b,A,data).csv create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/Figure14(b,B,data).csv create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/Figure14(b,C,data).csv create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/Figure14(b,D,data).csv create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrAVsA.tex create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrAVsB.tex create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrAVsC.tex create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrAVsD.tex create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrBVsB.tex create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrBVsC.tex create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrBVsD.tex create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrCVsC.tex create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrCVsD.tex create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrDVsD.tex create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrIVsA.tex create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrIVsB.tex create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrIVsC.tex create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrIVsD.tex create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrIVsI.tex create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/uncertainties.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_A_510GEV/data.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_A_510GEV/kinematics.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_A_510GEV/metadata.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_A_510GEV/uncertainties.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_B_510GEV/data.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_B_510GEV/kinematics.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_B_510GEV/metadata.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_B_510GEV/uncertainties.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_C_510GEV/data.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_C_510GEV/kinematics.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_C_510GEV/metadata.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_C_510GEV/uncertainties.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_D_510GEV/data.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_D_510GEV/kinematics.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_D_510GEV/metadata.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_D_510GEV/uncertainties.yaml diff --git a/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2012_510gev.py b/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2012_510gev.py new file mode 100644 index 0000000000..c932252b5b --- /dev/null +++ b/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2012_510gev.py @@ -0,0 +1,290 @@ +"""This script provides the common filer to the jet and dijet STAR 2012 datasets. +Files need to be parsed all together as there are correlations provided. +""" +import pathlib +import math + +import numpy as np +import pandas as pd +import yaml + +from nnpdf_data.filter_utils.correlations import ( + compute_covmat, + upper_triangular_to_symmetric, +) + +# values from the paper https://arxiv.org/abs/1906.02740 +SQRTS = 510 +YEAR = 2012 +ETA_ABS = 0.9 +POL_UNC = 0.066 +TOPOPLOGY_LIST = ["I", "A", "B", "C", "D"] + +HERE = pathlib.Path(__file__).parents[2] +RAWDATA_PATH = HERE / f"new_commondata/STAR_{YEAR}_1JET_{SQRTS}GEV/rawdata/" + + +def read_1jet_data(): + data_table = pathlib.Path(RAWDATA_PATH / "Figure12(Run12).csv") + + with open(data_table, "r", encoding="utf-8") as file: + all_data = pd.read_csv(file, delimiter=",", skiprows=6) + + df = pd.DataFrame() + df["pT"] = all_data["Parton Jet $p_{T}$ [GeV/c]"] + df["pT_min"] = all_data["Parton Jet $p_{T}$ [GeV/c] LOW"] + df["pT_max"] = all_data["Parton Jet $p_{T}$ [GeV/c] HIGH"] + df["eta"] = 0.0 + df["eta_min"] = -ETA_ABS + df["eta_max"] = +ETA_ABS + df["sqrts"] = SQRTS + df["ALL"] = all_data["Inclusive Jet $A_{LL}$"] + df["stat"] = all_data["stat +"] + df["syst"] = all_data["sys +"] + df["pol"] = POL_UNC * df["ALL"] + df["lumi_ue"] = all_data["UE/RL sys +"] + + print("1JET data loaded. Npoint: ", len(df)) + return df + + +def read_2jet_data(topology): + data_table = RAWDATA_PATH / f"Figure14(b,{topology},data).csv" + + with open(data_table, "r", encoding="utf-8") as file: + all_data = pd.read_csv(file, delimiter=",", skiprows=6) + + df = pd.DataFrame() + df["mjj"] = all_data["Parton DiJet $M_{inv}$ [$GeV/c^{2}$]"] + df["mjj_min"] = all_data["Parton DiJet $M_{inv}$ [$GeV/c^{2}$] LOW"] + df["mjj_max"] = all_data["Parton DiJet $M_{inv}$ [$GeV/c^{2}$] HIGH"] + df["sqrts"] = SQRTS + df["ALL"] = all_data[r"DiJet $A_{LL}$"] + df["stat"] = all_data[r"stat +"] + df["syst"] = all_data[r"sys +"] + df["pol"] = POL_UNC * df["ALL"] + df["lumi_ue"] = all_data["UE/RL sys +"] + print(f"2JET {topology} data loaded. Npoint: ", len(df)) + return df + + +def read_correlations(ndata_dict): + """Read the correlation files and build a big matix""" + corr_rows = [] + # loop on block rows + for a, ndata_a in ndata_dict.items(): + la = [a for _ in range(ndata_a)] + corr_row = pd.DataFrame() + # loop on block columns + for b, ndata_b in ndata_dict.items(): + lb = [b for _ in range(ndata_b)] + # build the block + try: + with open(RAWDATA_PATH / f"corr{a}Vs{b}.tex", encoding="utf-8") as file: + corr_df = pd.read_csv( + file, sep="&", skiprows=3, skipfooter=3, engine="python" + ) + + # add some parsing + corr_vals = [] + for val in corr_df.values.flatten(): + if val is None: + continue + if isinstance(val, str): + val = val.replace("\\", "") + try: + val = float(val) + except ValueError: + continue + if not math.isnan(val): + corr_vals.append(val) + + if a == b: + corr = upper_triangular_to_symmetric(corr_vals, ndata_a) + else: + corr = np.array(corr_vals).reshape((ndata_a, ndata_b)) + except FileNotFoundError: + corr = pd.DataFrame(np.zeros((ndata_a, ndata_b)), index=la, columns=lb) + + corr = pd.DataFrame(corr, index=la, columns=lb) + corr_row = pd.concat([corr_row, corr], axis=1) + corr_rows.append(corr_row) + + tot_corr = pd.concat(corr_rows) + if not np.allclose(tot_corr, np.triu(tot_corr)): + raise ValueError("Correlation matrix not read correctly") + return tot_corr + tot_corr.T - np.eye(np.sum((*ndata_dict.values(),))) + + +def write_1jet_data(df, art_sys): + STORE_PATH = HERE / f"new_commondata/STAR_{YEAR}_1JET_{SQRTS}GEV/" + + # Write central data + data_central_yaml = {"data_central": list(df["ALL"])} + with open(STORE_PATH / "data.yaml", "w", encoding="utf-8") as file: + yaml.dump(data_central_yaml, file) + + # Write kin file + kin = [] + for i in range(len(df)): + kin_value = { + "pT": { + "min": float(df.loc[i, "pT_min"]), + "mid": float(df.loc[i, "pT"]), + "max": float(df.loc[i, "pT_max"]), + }, + "sqrts": {"min": None, "mid": float(df.loc[i, "sqrts"]), "max": None}, + "eta": { + "min": float(df.loc[i, "eta_min"]), + "mid": float(df.loc[i, "eta"]), + "max": float(df.loc[i, "eta_max"]), + }, + } + kin.append(kin_value) + kinematics_yaml = {"bins": kin} + with open(STORE_PATH / "kinematics.yaml", "w", encoding="utf-8") as file: + yaml.dump(kinematics_yaml, file) + + # Write unc file + error = [] + error_definition = { + "lumi_ue": { + "description": "underlying event and relative luminosity uncertainty", + "treatment": "ADD", + "type": f"STAR{YEAR}LUMIUE", + }, + "pol": { + "description": "polarization uncertainty", + "treatment": "MULT", + "type": f"STAR{YEAR}POL", + }, + } + # loop on data points + for i, sys_i in enumerate(art_sys): + e = { + "lumi_ue": float(df.loc[i, "lumi_ue"]), + "pol": float(df.loc[i, "pol"]), + } + # loop on art sys + for j, val in enumerate(sys_i): + e[f"sys_{j}"] = val + error.append(e) + if i == 0: + error_definition.update( + { + f"sys_{j}": { + "description": f"{j} artificial correlated statistical + systematics uncertainty", + "treatment": "ADD", + "type": f"STAR2013JETunc{j}", + } + for j in range(len(sys_i)) + } + ) + + uncertainties_yaml = {"definitions": error_definition, "bins": error} + with open(STORE_PATH / "uncertainties.yaml", "w", encoding="utf-8") as file: + yaml.dump(uncertainties_yaml, file, sort_keys=False) + + +def write_2jet_data(df, topology, art_sys): + STORE_PATH = HERE / f"new_commondata/STAR_{YEAR}_2JET_{topology}_{SQRTS}GEV/" + # Write central data + data_central_yaml = {"data_central": list(df["ALL"])} + with open(STORE_PATH / "data.yaml", "w", encoding="utf-8") as file: + yaml.dump(data_central_yaml, file) + + # Write kin file + kin = [] + for i in range(len(df)): + kin_value = { + "m_jj": { + "min": float(df.loc[i, "mjj_min"]), + "mid": float(df.loc[i, "mjj"]), + "max": float(df.loc[i, "mjj_max"]), + }, + "sqrts": {"min": None, "mid": float(df.loc[i, "sqrts"]), "max": None}, + } + kin.append(kin_value) + kinematics_yaml = {"bins": kin} + with open(STORE_PATH / "kinematics.yaml", "w", encoding="utf-8") as file: + yaml.dump(kinematics_yaml, file) + + # Write unc file + error = [] + error_definition = { + "stat": { + "description": "statistical uncertainty", + "treatment": "ADD", + "type": "UNCORR", + }, + "lumi_ue": { + "description": "underlying event and relative luminosity uncertainty", + "treatment": "ADD", + "type": f"STAR{YEAR}LUMIUE", + }, + "pol": { + "description": "polarization uncertainty", + "treatment": "MULT", + "type": f"STAR{YEAR}POL", + }, + } + # loop on data points + for i, sys_i in enumerate(art_sys): + e = { + "stat": float(df.loc[i, "stat"]), + "lumi_ue": float(df.loc[i, "lumi_ue"]), + "pol": float(df.loc[i, "pol"]), + } + # loop on art sys + for j, val in enumerate(sys_i): + e[f"sys_{j}"] = val + error.append(e) + + if i == 0: + error_definition.update( + { + f"sys_{j}": { + "description": f"{j} artificial correlated systematics uncertainty", + "treatment": "ADD", + "type": f"STAR2013JETunc{j}", + } + for j in range(len(sys_i)) + } + ) + + uncertainties_yaml = {"definitions": error_definition, "bins": error} + with open(STORE_PATH / "uncertainties.yaml", "w", encoding="utf-8") as file: + yaml.dump(uncertainties_yaml, file, sort_keys=False) + + +if __name__ == "__main__": + # load all the data + dfs = {"I": read_1jet_data()} + for topo in TOPOPLOGY_LIST[1:]: + dfs[topo] = read_2jet_data(topo) + + # load correlations + ndata_dict = {a: len(b) for a, b in dfs.items()} + correlation_df = read_correlations(ndata_dict) + # from the paper we understand that stat dijet is not correlated + # I-I (stat + sys) | I-D (stat + sys) + # D-I (stat + sys) | D-D (sys) + correlated_unc = np.sqrt( + dfs["I"]["syst"] ** 2 + dfs["I"]["stat"] ** 2 + ).values.tolist() + for a in TOPOPLOGY_LIST[1:]: + correlated_unc.extend(dfs[a]["syst"].values) + ndata_points = np.sum((*ndata_dict.values(),)) + # decompose uncertainties + art_sys = np.array(compute_covmat(correlation_df, correlated_unc, ndata_points)) + + # write data + cnt = 0 + for topo, df in dfs.items(): + ndata = ndata_dict[topo] + syst = art_sys[cnt : cnt + ndata, :].tolist() + if topo == "I": + write_1jet_data(df, syst) + else: + write_2jet_data(df, topo, syst) + cnt += ndata diff --git a/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2013_510gev.py b/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2013_510gev.py index 77d947d13c..638bcfe7e3 100644 --- a/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2013_510gev.py +++ b/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2013_510gev.py @@ -7,7 +7,10 @@ import pandas as pd import yaml -from nnpdf_data.filter_utils.correlations import compute_covmat, upper_triangular_to_symmetric +from nnpdf_data.filter_utils.correlations import ( + compute_covmat, + upper_triangular_to_symmetric, +) # values from the paper https://arxiv.org/pdf/2110.11020.pdf SQRTS = 510 diff --git a/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2015_200gev.py b/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2015_200gev.py index ec479eb8fe..24bd837143 100644 --- a/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2015_200gev.py +++ b/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2015_200gev.py @@ -7,7 +7,10 @@ import pandas as pd import yaml -from nnpdf_data.filter_utils.correlations import compute_covmat, upper_triangular_to_symmetric +from nnpdf_data.filter_utils.correlations import ( + compute_covmat, + upper_triangular_to_symmetric, +) # values from the paper SQRTS = 200 @@ -82,7 +85,7 @@ def read_2jet_data(topology): all_data = pd.read_csv(file, delimiter=",", skiprows=27) df = pd.DataFrame() - df["mjj"] = mjj_data['Dijet invariant mass $M_{inv}$ at the parton level [GeV/$c$]'] + df["mjj"] = mjj_data["Dijet invariant mass $M_{inv}$ at the parton level [GeV/$c$]"] df["mjj_min"] = df["mjj"] + mjj_data["Syst -"] df["mjj_max"] = df["mjj"] + mjj_data["Syst +"] df["sqrts"] = SQRTS @@ -170,13 +173,13 @@ def write_1jet_data(df, art_sys): "lumi": { "description": "luminosity uncertainty", "treatment": "ADD", - "type": "STAR2015LUMI", + "type": f"STAR{YEAR}LUMI", }, "pol": { "description": "polarization uncertainty", "treatment": "MULT", - "type": "STAR2015POL", - } + "type": f"STAR{YEAR}POL", + }, } # loop on data points for i, sys_i in enumerate(art_sys): @@ -239,13 +242,13 @@ def write_2jet_data(df, topology, art_sys): "lumi": { "description": "luminosity uncertainty", "treatment": "ADD", - "type": "STAR2015LUMI", + "type": f"STAR{YEAR}LUMI", }, "pol": { "description": "polarization uncertainty", "treatment": "MULT", - "type": "STAR2015POL", - } + "type": f"STAR{YEAR}POL", + }, } # loop on data points for i, sys_i in enumerate(art_sys): @@ -288,9 +291,9 @@ def write_2jet_data(df, topology, art_sys): # merge the 1JET topologies new_dfs = { - "1JET": pd.concat([dfs['CC'], dfs['CF']], ignore_index=True), - "OS": dfs["OS"], - "SS": dfs["SS"] + "1JET": pd.concat([dfs["CC"], dfs["CF"]], ignore_index=True), + "OS": dfs["OS"], + "SS": dfs["SS"], } # from the paper we understand that stat dijet is not correlated diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/metadata.yaml index 58d18669e4..75ab1997b3 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/metadata.yaml @@ -22,8 +22,8 @@ implemented_observables: } observable_name: ALL process_type: DIJET_POL - ndata: 12 - tables: [5] + ndata: 5 + tables: [9] kinematics: variables: m_jj: { description: "dijet mass", label: "$m_{jj}$", units: "GeV" } diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/metadata.yaml index 461ccf9857..93d593d014 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/metadata.yaml @@ -22,8 +22,8 @@ implemented_observables: } observable_name: ALL process_type: DIJET_POL - ndata: 12 - tables: [5] + ndata: 7 + tables: [9] kinematics: variables: m_jj: { description: "dijet mass", label: "$m_{jj}$", units: "GeV" } diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/metadata.yaml index 6e966a7071..675cf5256d 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/metadata.yaml @@ -22,8 +22,8 @@ implemented_observables: } observable_name: ALL process_type: DIJET_POL - ndata: 12 - tables: [5] + ndata: 7 + tables: [9] kinematics: variables: m_jj: { description: "dijet mass", label: "$m_{jj}$", units: "GeV" } diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/data.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/data.yaml new file mode 100644 index 0000000000..7922dfd3e0 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/data.yaml @@ -0,0 +1,15 @@ +data_central: +- 1.71e-05 +- -0.00215 +- 0.00162 +- 0.0005 +- 0.00148 +- 0.00293 +- 0.00158 +- 0.00445 +- 0.00496 +- 0.0036 +- 0.0169 +- -0.00492 +- 0.0122 +- 0.00177 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/kinematics.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/kinematics.yaml new file mode 100644 index 0000000000..680a8a3950 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/kinematics.yaml @@ -0,0 +1,169 @@ +bins: +- eta: + max: 0.9 + mid: 0.0 + min: -0.9 + pT: + max: 7.282 + mid: 7.02 + min: 6.758 + sqrts: + max: null + mid: 510.0 + min: null +- eta: + max: 0.9 + mid: 0.0 + min: -0.9 + pT: + max: 8.267 + mid: 7.97 + min: 7.673 + sqrts: + max: null + mid: 510.0 + min: null +- eta: + max: 0.9 + mid: 0.0 + min: -0.9 + pT: + max: 10.26 + mid: 9.9 + min: 9.54 + sqrts: + max: null + mid: 510.0 + min: null +- eta: + max: 0.9 + mid: 0.0 + min: -0.9 + pT: + max: 12.002 + mid: 11.6 + min: 11.198 + sqrts: + max: null + mid: 510.0 + min: null +- eta: + max: 0.9 + mid: 0.0 + min: -0.9 + pT: + max: 13.865 + mid: 13.4 + min: 12.935 + sqrts: + max: null + mid: 510.0 + min: null +- eta: + max: 0.9 + mid: 0.0 + min: -0.9 + pT: + max: 16.1 + mid: 15.6 + min: 15.1 + sqrts: + max: null + mid: 510.0 + min: null +- eta: + max: 0.9 + mid: 0.0 + min: -0.9 + pT: + max: 19.599 + mid: 19.0 + min: 18.401 + sqrts: + max: null + mid: 510.0 + min: null +- eta: + max: 0.9 + mid: 0.0 + min: -0.9 + pT: + max: 22.829 + mid: 22.200000000000003 + min: 21.571 + sqrts: + max: null + mid: 510.0 + min: null +- eta: + max: 0.9 + mid: 0.0 + min: -0.9 + pT: + max: 26.441 + mid: 25.7 + min: 24.959 + sqrts: + max: null + mid: 510.0 + min: null +- eta: + max: 0.9 + mid: 0.0 + min: -0.9 + pT: + max: 30.533 + mid: 29.700000000000003 + min: 28.867 + sqrts: + max: null + mid: 510.0 + min: null +- eta: + max: 0.9 + mid: 0.0 + min: -0.9 + pT: + max: 35.349 + mid: 34.4 + min: 33.451 + sqrts: + max: null + mid: 510.0 + min: null +- eta: + max: 0.9 + mid: 0.0 + min: -0.9 + pT: + max: 40.78 + mid: 39.7 + min: 38.62 + sqrts: + max: null + mid: 510.0 + min: null +- eta: + max: 0.9 + mid: 0.0 + min: -0.9 + pT: + max: 47.54 + mid: 46.3 + min: 45.06 + sqrts: + max: null + mid: 510.0 + min: null +- eta: + max: 0.9 + mid: 0.0 + min: -0.9 + pT: + max: 55.29 + mid: 53.8 + min: 52.31 + sqrts: + max: null + mid: 510.0 + min: null diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/metadata.yaml new file mode 100644 index 0000000000..b082cf20bd --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/metadata.yaml @@ -0,0 +1,52 @@ +setname: "STAR_2012_1JET_510GEV" + +nnpdf_metadata: + experiment: "STAR" + nnpdf31_process: "JETS" + +iNSPIRE: + url: "https://inspirehep.net/literature/1738738" +hepdata: + url: "https://www.hepdata.net/record/ins1738738" + version: 1 +arXiv: + url: https://arxiv.org/abs/1906.02740 + +version: 1 +version_comment: "Initial implementation, correlations from arXiv" + +implemented_observables: + - observable: { description: "$A_{LL}$ as function of $p_T$", label: "$A_{LL}$", units: "" } + observable_name: ALL + process_type: JET_POL + ndata: 14 + tables: [12] + kinematics: + variables: + pT: + { + description: "mean transverse momentum", + label: '$\langle pT \rangle$', + units: "$GeV$", + } + sqrts: + { + description: "center of mass energy", + label: '$\sqrt{s}$', + units: "$GeV$", + } + eta: { description: "pseudorapidity", label: '$\eta$', units: "" } + file: kinematics.yaml + data_central: data.yaml + data_uncertainties: + - uncertainties.yaml + kinematic_coverage: [pT, sqrts, eta] + plotting: + dataset_label: "STAR 510 GeV (2012) 1-JET $A_{LL}$" + kinematics_override: identity + plot_x: pT + x_scale: log + y_label: "$A_{LL}$" + theory: + FK_tables: + - - STAR_2012_1JET_510GEV_ALL diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/Figure12(Run12).csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/Figure12(Run12).csv new file mode 100644 index 0000000000..3eabe1e964 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/Figure12(Run12).csv @@ -0,0 +1,22 @@ +#: table_doi: 10.17182/hepdata.105278.v1/t29 +#: name: Figure 12 (Run12) +#: description: the inclusive jet asymmetries and systematic uncertainties,as function of pT compared to the theoretical predictions (Run12) +#: data_file: fig12_run12_input_yaml.yaml +#: keyword cmenergies: 510.0 +#: Parton Jet $p_{T}$ [GeV/c],,,Inclusive Jet $A_{LL}$, 510GeV, Run12, R=0.5,$\vert \eta \vert$ < 0.9 +Parton Jet $p_{T}$ [GeV/c],Parton Jet $p_{T}$ [GeV/c] LOW,Parton Jet $p_{T}$ [GeV/c] HIGH,Inclusive Jet $A_{LL}$,stat +,stat -,sys +,sys -,UE/RL sys +,UE/RL sys - +7.02,6.758,7.282,1.71e-05,0.00132,-0.00132,0.000132,-0.000132,0.000364,-0.000364 +7.97,7.673,8.267,-0.00215,0.0014,-0.0014,0.000485,-0.000485,0.000326,-0.000326 +9.899999999999999,9.54,10.26,0.00162,0.00101,-0.00101,0.000109,-0.000109,0.000311,-0.000311 +11.600000000000001,11.198,12.002,0.0005,0.00112,-0.00112,8.01e-05,-8.01e-05,0.000284,-0.000284 +13.4,12.935,13.865,0.00148,0.00129,-0.00129,0.000106,-0.000106,0.000272,-0.000272 +15.600000000000001,15.1,16.1,0.00293,0.00159,-0.00159,0.000159,-0.000159,0.000256,-0.000256 +19.0,18.401,19.599,0.00158,0.00158,-0.00158,0.000139,-0.000139,0.000251,-0.000251 +22.200000000000003,21.571,22.829,0.00445,0.00181,-0.00181,0.000228,-0.000228,0.000246,-0.000246 +25.7,24.959,26.441,0.00496,0.00214,-0.00214,0.000177,-0.000177,0.000239,-0.000239 +29.700000000000003,28.867,30.533,0.0036,0.00273,-0.00273,0.000251,-0.000251,0.000234,-0.000234 +34.4,33.451,35.349,0.0169,0.00372,-0.00372,0.000376,-0.000376,0.000231,-0.000231 +39.7,38.62,40.78,-0.00492,0.00537,-0.00537,0.000336,-0.000336,0.000229,-0.000229 +46.3,45.06,47.54,0.0122,0.00836,-0.00836,0.000687,-0.000687,0.000227,-0.000227 +53.8,52.31,55.29,0.00177,0.0137,-0.0137,0.000813,-0.000813,0.000226,-0.000226 + diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/Figure14(b,A,data).csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/Figure14(b,A,data).csv new file mode 100644 index 0000000000..7774167103 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/Figure14(b,A,data).csv @@ -0,0 +1,18 @@ +#: table_doi: 10.17182/hepdata.105278.v1/t53 +#: name: Figure 14 (b,A,data) +#: description: Dijet asymmetries for the same topological bins in 510 GeV pp collisions (b,A,data) +#: data_file: fig14_b_data_A_input_yaml.yaml +#: keyword cmenergies: 510.0 +#: Parton DiJet $M_{inv}$ [$GeV/c^{2}$],,,DiJet $A_{LL}$,b, A, data +Parton DiJet $M_{inv}$ [$GeV/c^{2}$],Parton DiJet $M_{inv}$ [$GeV/c^{2}$] LOW,Parton DiJet $M_{inv}$ [$GeV/c^{2}$] HIGH,DiJet $A_{LL}$,stat +,stat -,sys +,sys -,UE/RL sys +,UE/RL sys - +19.04,18.22,19.86,-0.0128,0.0066,-0.0066,0.0002,-0.0002,0.00025,-0.00025 +21.619999999999997,20.66,22.58,0.009,0.0052,-0.0052,0.0002,-0.0002,0.00058,-0.00058 +26.380000000000003,25.3,27.46,0.0079,0.005,-0.005,0.0004,-0.0004,0.00062,-0.00062 +32.3,31.14,33.46,-0.0012,0.0052,-0.0052,0.0004,-0.0004,0.00056,-0.00056 +38.42,37.22,39.62,0.0101,0.0061,-0.0061,0.0004,-0.0004,0.00051,-0.00051 +45.18,43.7,46.66,-0.0013,0.0064,-0.0064,0.0006,-0.0006,0.00046,-0.00046 +53.42,51.87,54.97,0.0048,0.0081,-0.0081,0.0009,-0.0009,0.00044,-0.00044 +63.519999999999996,61.72,65.32,0.0052,0.0108,-0.0108,0.001,-0.001,0.00037,-0.00037 +75.55000000000001,73.34,77.76,0.0363,0.0167,-0.0167,0.002,-0.002,0.00037,-0.00037 +89.12,86.74,91.5,-0.0218,0.0264,-0.0264,0.0048,-0.0048,0.00031,-0.00031 + diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/Figure14(b,B,data).csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/Figure14(b,B,data).csv new file mode 100644 index 0000000000..5acdc8e0c6 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/Figure14(b,B,data).csv @@ -0,0 +1,19 @@ +#: table_doi: 10.17182/hepdata.105278.v1/t54 +#: name: Figure 14 (b,B,data) +#: description: Dijet asymmetries for the same topological bins in 510 GeV pp collisions (b,B,data) +#: data_file: fig14_b_data_B_input_yaml.yaml +#: keyword cmenergies: 510.0 +#: Parton DiJet $M_{inv}$ [$GeV/c^{2}$],,,DiJet $A_{LL}$,b, B, data +Parton DiJet $M_{inv}$ [$GeV/c^{2}$],Parton DiJet $M_{inv}$ [$GeV/c^{2}$] LOW,Parton DiJet $M_{inv}$ [$GeV/c^{2}$] HIGH,DiJet $A_{LL}$,stat +,stat -,sys +,sys -,UE/RL sys +,UE/RL sys - +18.799999999999997,17.99,19.61,-0.0023,0.0053,-0.0053,0.0002,-0.0002,0.0004,-0.0004 +21.799999999999997,20.86,22.74,0.0041,0.0036,-0.0036,0.0003,-0.0003,0.00063,-0.00063 +26.37,25.28,27.46,0.0016,0.0033,-0.0033,0.0003,-0.0003,0.00041,-0.00041 +32.24,31.17,33.31,0.0029,0.0034,-0.0034,0.0004,-0.0004,0.00043,-0.00043 +38.42,37.11,39.73,-0.0063,0.004,-0.004,0.0005,-0.0005,0.00035,-0.00035 +45.83,44.42,47.24,0.002,0.0041,-0.0041,0.0007,-0.0007,0.00036,-0.00036 +54.14,52.45,55.83,0.0128,0.005,-0.005,0.0008,-0.0008,0.0003,-0.0003 +64.17,62.34,66,-0.0022,0.0065,-0.0065,0.0011,-0.0011,0.00031,-0.00031 +76.06,73.93,78.19,-0.001,0.0096,-0.0096,0.0014,-0.0014,0.00028,-0.00028 +89.81,87.33,92.29,-0.016,0.0143,-0.0143,0.002,-0.002,0.00026,-0.00026 +107.92,105.03,110.81,-0.0205,0.0242,-0.0242,0.0027,-0.0027,0.00026,-0.00026 + diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/Figure14(b,C,data).csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/Figure14(b,C,data).csv new file mode 100644 index 0000000000..7ebe2ca958 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/Figure14(b,C,data).csv @@ -0,0 +1,18 @@ +#: table_doi: 10.17182/hepdata.105278.v1/t55 +#: name: Figure 14 (b,C,data) +#: description: Dijet asymmetries for the same topological bins in 510 GeV pp collisions (b,C,data) +#: data_file: fig14_b_data_C_input_yaml.yaml +#: keyword cmenergies: 510.0 +#: Parton DiJet $M_{inv}$ [$GeV/c^{2}$],,,DiJet $A_{LL}$,b, C, data +Parton DiJet $M_{inv}$ [$GeV/c^{2}$],Parton DiJet $M_{inv}$ [$GeV/c^{2}$] LOW,Parton DiJet $M_{inv}$ [$GeV/c^{2}$] HIGH,DiJet $A_{LL}$,stat +,stat -,sys +,sys -,UE/RL sys +,UE/RL sys - +19.810000000000002,19,20.62,0.0058,0.0085,-0.0085,0.0002,-0.0002,0.00026,-0.00026 +22.009999999999998,20.89,23.13,-0.0006,0.0066,-0.0066,0.0006,-0.0006,0.00063,-0.00063 +26.159999999999997,25.08,27.24,-0.0043,0.0062,-0.0062,0.0004,-0.0004,0.00074,-0.00074 +32.7,31.51,33.89,0.0049,0.0065,-0.0065,0.0006,-0.0006,0.00078,-0.00078 +38.709999999999994,37.37,40.05,0.0046,0.0077,-0.0077,0.0007,-0.0007,0.00081,-0.00081 +46.01,44.65,47.37,0.0155,0.0079,-0.0079,0.0006,-0.0006,0.00052,-0.00052 +53.89,52.11,55.67,-0.0045,0.0098,-0.0098,0.0012,-0.0012,0.00053,-0.00053 +64.75,63.01,66.49,0.0104,0.0127,-0.0127,0.0014,-0.0014,0.00041,-0.00041 +77.15,74.88,79.42,0.0346,0.0192,-0.0192,0.0019,-0.0019,0.00041,-0.00041 +91.14,88.56,93.72,0.0593,0.0294,-0.0294,0.0073,-0.0073,0.00041,-0.00041 + diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/Figure14(b,D,data).csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/Figure14(b,D,data).csv new file mode 100644 index 0000000000..e83c815db6 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/Figure14(b,D,data).csv @@ -0,0 +1,19 @@ +#: table_doi: 10.17182/hepdata.105278.v1/t56 +#: name: Figure 14 (b,D,data) +#: description: Dijet asymmetries for the same topological bins in 510 GeV pp collisions (b,D,data) +#: data_file: fig14_b_data_D_input_yaml.yaml +#: keyword cmenergies: 510.0 +#: Parton DiJet $M_{inv}$ [$GeV/c^{2}$],,,DiJet $A_{LL}$,b, D, data +Parton DiJet $M_{inv}$ [$GeV/c^{2}$],Parton DiJet $M_{inv}$ [$GeV/c^{2}$] LOW,Parton DiJet $M_{inv}$ [$GeV/c^{2}$] HIGH,DiJet $A_{LL}$,stat +,stat -,sys +,sys -,UE/RL sys +,UE/RL sys - +20.54,18.4,22.68,0.0054,0.0161,-0.0161,0.0002,-0.0002,0.00131,-0.00131 +22.09,21.14,23.04,0.0042,0.0051,-0.0051,0.0002,-0.0002,0.00022,-0.00022 +26.31,25.33,27.29,0.0051,0.005,-0.005,0.0003,-0.0003,0.00072,-0.00072 +31.72,30.5,32.94,-0.0031,0.0059,-0.0059,0.0003,-0.0003,0.00052,-0.00052 +38.480000000000004,37.17,39.79,-0.0018,0.006,-0.006,0.0004,-0.0004,0.00054,-0.00054 +45.209999999999994,43.66,46.76,-0.004,0.007,-0.007,0.0005,-0.0005,0.00044,-0.00044 +54.150000000000006,52.46,55.84,0.0034,0.0087,-0.0087,0.0008,-0.0008,0.00044,-0.00044 +64.3,62.38,66.22,0.005,0.0123,-0.0123,0.0011,-0.0011,0.00036,-0.00036 +76.66,74.51,78.81,0.0058,0.0178,-0.0178,0.0024,-0.0024,0.00036,-0.00036 +89.57,86.95,92.19,0.0291,0.0296,-0.0296,0.0014,-0.0014,0.00036,-0.00036 +106.86,103.89,109.83,-0.0055,0.0461,-0.0461,0.0028,-0.0028,0.00029,-0.00029 + diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrAVsA.tex b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrAVsA.tex new file mode 100644 index 0000000000..efcf99dcb1 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrAVsA.tex @@ -0,0 +1,18 @@ +\begin{tabular}{c@{~~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c} +\hline + \hline +Bin & A1 & A2 & A3 & A4 & A5 & A6 & A7 & A8 & A9 & A10 \\ +\hline +A1 & 1 & 0.003 & 0.004 & 0.004 & 0.004 & 0.004 & 0.004 & 0.003 & 0.004 & 0.006 \\ +A2 & & 1 & 0.015 & 0.013 & 0.011 & 0.011 & 0.010 & 0.007 & 0.007 & 0.009 \\ +A3 & & & 1 & 0.016 & 0.014 & 0.014 & 0.013 & 0.010 & 0.011 & 0.014 \\ +A4 & & & & 1 & 0.012 & 0.013 & 0.012 & 0.009 & 0.010 & 0.013 \\ +A5 & & & & & 1 & 0.011 & 0.011 & 0.009 & 0.010 & 0.013 \\ +A6 & & & & & & 1 & 0.013 & 0.010 & 0.012 & 0.017 \\ +A7 & & & & & & & 1 & 0.012 & 0.014 & 0.020 \\ +A8 & & & & & & & & 1 & 0.012 & 0.017 \\ +A9 & & & & & & & & & 1 & 0.021 \\ +A10 & & & & & & & & & & 1 \\ +\hline + \hline +\end{tabular} \ No newline at end of file diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrAVsB.tex b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrAVsB.tex new file mode 100644 index 0000000000..84ff964010 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrAVsB.tex @@ -0,0 +1,18 @@ +\begin{tabular}{c@{~~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c} +\hline + \hline +Bin & B1 & B2 & B3 & B4 & B5 & B6 & B7 & B8 & B9 & B10 & B11 \\ +\hline +A1 & 0.001 & 0.002 & 0.003 & 0.004 & 0.004 & 0.005 & 0.005 & 0.005 & 0.004 & 0.004 & 0.004 \\ +A2 & 0.002 & 0.003 & 0.004 & 0.005 & 0.005 & 0.007 & 0.007 & 0.007 & 0.006 & 0.006 & 0.005 \\ +A3 & 0.003 & 0.006 & 0.007 & 0.009 & 0.008 & 0.011 & 0.011 & 0.012 & 0.010 & 0.010 & 0.008 \\ +A4 & 0.003 & 0.005 & 0.007 & 0.009 & 0.008 & 0.011 & 0.011 & 0.012 & 0.010 & 0.010 & 0.008 \\ +A5 & 0.003 & 0.005 & 0.007 & 0.009 & 0.008 & 0.011 & 0.011 & 0.012 & 0.010 & 0.010 & 0.008 \\ +A6 & 0.004 & 0.007 & 0.009 & 0.011 & 0.010 & 0.015 & 0.014 & 0.016 & 0.013 & 0.013 & 0.010 \\ +A7 & 0.004 & 0.008 & 0.011 & 0.013 & 0.012 & 0.017 & 0.017 & 0.018 & 0.015 & 0.015 & 0.012 \\ +A8 & 0.004 & 0.007 & 0.009 & 0.011 & 0.010 & 0.015 & 0.014 & 0.016 & 0.013 & 0.013 & 0.010 \\ +A9 & 0.004 & 0.009 & 0.012 & 0.014 & 0.013 & 0.019 & 0.018 & 0.020 & 0.017 & 0.016 & 0.013 \\ +A10 & 0.007 & 0.014 & 0.018 & 0.022 & 0.020 & 0.028 & 0.027 & 0.030 & 0.025 & 0.025 & 0.020 \\ +\hline + \hline +\end{tabular} \ No newline at end of file diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrAVsC.tex b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrAVsC.tex new file mode 100644 index 0000000000..69651a090c --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrAVsC.tex @@ -0,0 +1,18 @@ +\begin{tabular}{c@{~~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c} +\hline + \hline +Bin & C1 & C2 & C3 & C4 & C5 & C6 & C7 & C8 & C9 & C10 \\ +\hline +A1 & 0.001 & 0.003 & 0.002 & 0.003 & 0.003 & 0.002 & 0.004 & 0.004 & 0.003 & 0.008 \\ +A2 & 0.001 & 0.004 & 0.003 & 0.004 & 0.004 & 0.003 & 0.005 & 0.005 & 0.004 & 0.011 \\ +A3 & 0.002 & 0.007 & 0.005 & 0.006 & 0.007 & 0.005 & 0.009 & 0.008 & 0.007 & 0.018 \\ +A4 & 0.002 & 0.007 & 0.005 & 0.006 & 0.006 & 0.005 & 0.008 & 0.008 & 0.007 & 0.017 \\ +A5 & 0.002 & 0.007 & 0.005 & 0.006 & 0.006 & 0.005 & 0.008 & 0.008 & 0.007 & 0.017 \\ +A6 & 0.002 & 0.009 & 0.006 & 0.008 & 0.008 & 0.007 & 0.011 & 0.010 & 0.009 & 0.023 \\ +A7 & 0.002 & 0.010 & 0.007 & 0.009 & 0.010 & 0.008 & 0.013 & 0.012 & 0.010 & 0.026 \\ +A8 & 0.002 & 0.009 & 0.006 & 0.008 & 0.008 & 0.007 & 0.011 & 0.011 & 0.009 & 0.023 \\ +A9 & 0.003 & 0.011 & 0.008 & 0.010 & 0.011 & 0.009 & 0.014 & 0.013 & 0.011 & 0.029 \\ +A10 & 0.004 & 0.017 & 0.012 & 0.015 & 0.016 & 0.013 & 0.021 & 0.020 & 0.017 & 0.043 \\ +\hline + \hline +\end{tabular} \ No newline at end of file diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrAVsD.tex b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrAVsD.tex new file mode 100644 index 0000000000..2ed9cb914e --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrAVsD.tex @@ -0,0 +1,18 @@ +\begin{tabular}{c@{~~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c} +\hline + \hline +Bin & D1 & D2 & D3 & D4 & D5 & D6 & D7 & D8 & D9 & D10 & D11 \\ +\hline +A1 & 0.000 & 0.001 & 0.002 & 0.002 & 0.002 & 0.002 & 0.003 & 0.003 & 0.004 & 0.002 & 0.002 \\ +A2 & 0.001 & 0.002 & 0.003 & 0.002 & 0.003 & 0.003 & 0.004 & 0.004 & 0.006 & 0.002 & 0.003 \\ +A3 & 0.001 & 0.003 & 0.004 & 0.004 & 0.005 & 0.006 & 0.006 & 0.007 & 0.010 & 0.004 & 0.004 \\ +A4 & 0.001 & 0.003 & 0.004 & 0.004 & 0.005 & 0.005 & 0.006 & 0.006 & 0.009 & 0.003 & 0.004 \\ +A5 & 0.001 & 0.003 & 0.004 & 0.004 & 0.005 & 0.005 & 0.006 & 0.007 & 0.010 & 0.003 & 0.004 \\ +A6 & 0.001 & 0.004 & 0.005 & 0.005 & 0.006 & 0.007 & 0.008 & 0.008 & 0.012 & 0.004 & 0.006 \\ +A7 & 0.001 & 0.005 & 0.006 & 0.006 & 0.007 & 0.008 & 0.010 & 0.010 & 0.014 & 0.005 & 0.007 \\ +A8 & 0.001 & 0.004 & 0.005 & 0.005 & 0.006 & 0.007 & 0.008 & 0.009 & 0.012 & 0.005 & 0.006 \\ +A9 & 0.002 & 0.006 & 0.007 & 0.006 & 0.008 & 0.009 & 0.010 & 0.011 & 0.016 & 0.006 & 0.007 \\ +A10 & 0.002 & 0.008 & 0.010 & 0.010 & 0.012 & 0.013 & 0.016 & 0.016 & 0.024 & 0.009 & 0.011 \\ +\hline + \hline +\end{tabular} \ No newline at end of file diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrBVsB.tex b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrBVsB.tex new file mode 100644 index 0000000000..8465e239f8 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrBVsB.tex @@ -0,0 +1,19 @@ +\begin{tabular}{c@{~~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c} +\hline + \hline +Bin & B1 & B2 & B3 & B4 & B5 & B6 & B7 & B8 & B9 & B10 & B11 \\ +\hline +B1 & 1 & 0.013 & 0.010 & 0.011 & 0.008 & 0.010 & 0.008 & 0.008 & 0.006 & 0.006 & 0.005 \\ +B2 & & 1 & 0.024 & 0.027 & 0.019 & 0.023 & 0.018 & 0.018 & 0.014 & 0.012 & 0.009 \\ +B3 & & & 1 & 0.023 & 0.018 & 0.023 & 0.019 & 0.020 & 0.016 & 0.015 & 0.012 \\ +B4 & & & & 1 & 0.021 & 0.026 & 0.023 & 0.024 & 0.019 & 0.018 & 0.014 \\ +B5 & & & & & 1 & 0.022 & 0.020 & 0.021 & 0.017 & 0.016 & 0.013 \\ +B6 & & & & & & 1 & 0.027 & 0.029 & 0.023 & 0.022 & 0.018 \\ +B7 & & & & & & & 1 & 0.027 & 0.022 & 0.022 & 0.017 \\ +B8 & & & & & & & & 1 & 0.024 & 0.024 & 0.019 \\ +B9 & & & & & & & & & 1 & 0.020 & 0.016 \\ +B10 & & & & & & & & & & 1 & 0.015 \\ +B11 & & & & & & & & & & & 1 \\ +\hline + \hline +\end{tabular} \ No newline at end of file diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrBVsC.tex b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrBVsC.tex new file mode 100644 index 0000000000..569ff26fb8 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrBVsC.tex @@ -0,0 +1,19 @@ +\begin{tabular}{c@{~~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c} +\hline + \hline +Bin & C1 & C2 & C3 & C4 & C5 & C6 & C7 & C8 & C9 & C10 \\ +\hline +B1 & 0.001 & 0.004 & 0.002 & 0.003 & 0.003 & 0.003 & 0.004 & 0.004 & 0.004 & 0.009 \\ +B2 & 0.002 & 0.007 & 0.005 & 0.007 & 0.007 & 0.006 & 0.009 & 0.009 & 0.007 & 0.018 \\ +B3 & 0.002 & 0.009 & 0.006 & 0.009 & 0.009 & 0.007 & 0.012 & 0.011 & 0.009 & 0.024 \\ +B4 & 0.003 & 0.012 & 0.008 & 0.011 & 0.011 & 0.009 & 0.014 & 0.014 & 0.012 & 0.029 \\ +B5 & 0.002 & 0.011 & 0.007 & 0.010 & 0.010 & 0.008 & 0.013 & 0.012 & 0.011 & 0.027 \\ +B6 & 0.003 & 0.015 & 0.010 & 0.014 & 0.014 & 0.011 & 0.018 & 0.017 & 0.015 & 0.038 \\ +B7 & 0.003 & 0.015 & 0.010 & 0.013 & 0.014 & 0.011 & 0.018 & 0.017 & 0.015 & 0.037 \\ +B8 & 0.004 & 0.016 & 0.011 & 0.015 & 0.015 & 0.012 & 0.020 & 0.019 & 0.016 & 0.041 \\ +B9 & 0.003 & 0.013 & 0.009 & 0.012 & 0.013 & 0.010 & 0.017 & 0.016 & 0.014 & 0.034 \\ +B10 & 0.003 & 0.013 & 0.009 & 0.012 & 0.012 & 0.010 & 0.016 & 0.015 & 0.013 & 0.033 \\ +B11 & 0.002 & 0.010 & 0.007 & 0.010 & 0.010 & 0.008 & 0.013 & 0.012 & 0.011 & 0.027 \\ +\hline + \hline +\end{tabular} \ No newline at end of file diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrBVsD.tex b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrBVsD.tex new file mode 100644 index 0000000000..7c29a0c7ab --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrBVsD.tex @@ -0,0 +1,19 @@ +\begin{tabular}{c@{~~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c} +\hline + \hline +Bin & D1 & D2 & D3 & D4 & D5 & D6 & D7 & D8 & D9 & D10 & D11 \\ +\hline +B1 & 0.001 & 0.002 & 0.002 & 0.002 & 0.003 & 0.003 & 0.003 & 0.003 & 0.005 & 0.002 & 0.002 \\ +B2 & 0.001 & 0.004 & 0.004 & 0.004 & 0.005 & 0.006 & 0.007 & 0.007 & 0.010 & 0.004 & 0.005 \\ +B3 & 0.001 & 0.005 & 0.006 & 0.005 & 0.007 & 0.007 & 0.009 & 0.009 & 0.013 & 0.005 & 0.006 \\ +B4 & 0.002 & 0.006 & 0.007 & 0.007 & 0.008 & 0.009 & 0.011 & 0.011 & 0.016 & 0.006 & 0.007 \\ +B5 & 0.002 & 0.005 & 0.006 & 0.006 & 0.008 & 0.008 & 0.010 & 0.010 & 0.015 & 0.005 & 0.007 \\ +B6 & 0.002 & 0.007 & 0.009 & 0.008 & 0.011 & 0.012 & 0.014 & 0.014 & 0.021 & 0.007 & 0.010 \\ +B7 & 0.002 & 0.007 & 0.009 & 0.008 & 0.010 & 0.012 & 0.014 & 0.014 & 0.020 & 0.007 & 0.009 \\ +B8 & 0.002 & 0.008 & 0.010 & 0.009 & 0.011 & 0.013 & 0.015 & 0.015 & 0.022 & 0.008 & 0.010 \\ +B9 & 0.002 & 0.007 & 0.008 & 0.008 & 0.010 & 0.011 & 0.012 & 0.013 & 0.019 & 0.007 & 0.009 \\ +B10 & 0.002 & 0.006 & 0.008 & 0.007 & 0.009 & 0.010 & 0.012 & 0.012 & 0.018 & 0.007 & 0.008 \\ +B11 & 0.002 & 0.005 & 0.006 & 0.006 & 0.008 & 0.008 & 0.010 & 0.010 & 0.015 & 0.005 & 0.007 \\ +\hline + \hline +\end{tabular} \ No newline at end of file diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrCVsC.tex b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrCVsC.tex new file mode 100644 index 0000000000..cd24942170 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrCVsC.tex @@ -0,0 +1,18 @@ +\begin{tabular}{c@{~~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c} +\hline + \hline +Bin & C1 & C2 & C3 & C4 & C5 & C6 & C7 & C8 & C9 & C10 \\ +\hline +C1 & 1 & 0.004 & 0.003 & 0.004 & 0.004 & 0.003 & 0.003 & 0.003 & 0.002 & 0.006 \\ +C2 & & 1 & 0.016 & 0.018 & 0.017 & 0.012 & 0.016 & 0.013 & 0.011 & 0.024 \\ +C3 & & & 1 & 0.019 & 0.017 & 0.012 & 0.013 & 0.010 & 0.008 & 0.017 \\ +C4 & & & & 1 & 0.019 & 0.013 & 0.016 & 0.013 & 0.010 & 0.022 \\ +C5 & & & & & 1 & 0.012 & 0.015 & 0.013 & 0.010 & 0.023 \\ +C6 & & & & & & 1 & 0.012 & 0.010 & 0.008 & 0.018 \\ +C7 & & & & & & & 1 & 0.015 & 0.012 & 0.029 \\ +C8 & & & & & & & & 1 & 0.011 & 0.027 \\ +C9 & & & & & & & & & 1 & 0.023 \\ +C10 & & & & & & & & & & 1 \\ +\hline + \hline +\end{tabular} \ No newline at end of file diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrCVsD.tex b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrCVsD.tex new file mode 100644 index 0000000000..a6931b51d8 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrCVsD.tex @@ -0,0 +1,18 @@ +\begin{tabular}{c@{~~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c} +\hline + \hline +Bin & D1 & D2 & D3 & D4 & D5 & D6 & D7 & D8 & D9 & D10 & D11 \\ +\hline +C1 & 0.000 & 0.001 & 0.001 & 0.001 & 0.002 & 0.002 & 0.002 & 0.002 & 0.003 & 0.001 & 0.001 \\ +C2 & 0.001 & 0.004 & 0.005 & 0.005 & 0.006 & 0.007 & 0.008 & 0.009 & 0.013 & 0.005 & 0.006 \\ +C3 & 0.001 & 0.003 & 0.004 & 0.004 & 0.004 & 0.005 & 0.006 & 0.006 & 0.009 & 0.003 & 0.004 \\ +C4 & 0.001 & 0.004 & 0.005 & 0.005 & 0.006 & 0.007 & 0.008 & 0.008 & 0.011 & 0.004 & 0.005 \\ +C5 & 0.001 & 0.004 & 0.005 & 0.005 & 0.006 & 0.007 & 0.008 & 0.008 & 0.012 & 0.004 & 0.005 \\ +C6 & 0.001 & 0.003 & 0.004 & 0.004 & 0.005 & 0.006 & 0.006 & 0.007 & 0.010 & 0.004 & 0.004 \\ +C7 & 0.002 & 0.006 & 0.007 & 0.006 & 0.008 & 0.009 & 0.010 & 0.011 & 0.016 & 0.006 & 0.007 \\ +C8 & 0.002 & 0.005 & 0.006 & 0.006 & 0.008 & 0.008 & 0.010 & 0.010 & 0.015 & 0.005 & 0.007 \\ +C9 & 0.001 & 0.005 & 0.006 & 0.005 & 0.007 & 0.007 & 0.008 & 0.009 & 0.013 & 0.005 & 0.006 \\ +C10 & 0.003 & 0.011 & 0.014 & 0.013 & 0.016 & 0.018 & 0.021 & 0.022 & 0.032 & 0.012 & 0.015 \\ +\hline + \hline +\end{tabular} \ No newline at end of file diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrDVsD.tex b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrDVsD.tex new file mode 100644 index 0000000000..239b258913 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrDVsD.tex @@ -0,0 +1,19 @@ +\begin{tabular}{c@{~~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c} +\hline + \hline +Bin & D1 & D2 & D3 & D4 & D5 & D6 & D7 & D8 & D9 & D10 & D11 \\ +\hline +D1 & 1 & 0.004 & 0.012 & 0.007 & 0.007 & 0.005 & 0.005 & 0.003 & 0.003 & 0.001 & 0.001 \\ +D2 & & 1 & 0.009 & 0.006 & 0.007 & 0.006 & 0.006 & 0.005 & 0.007 & 0.003 & 0.003 \\ +D3 & & & 1 & 0.014 & 0.015 & 0.012 & 0.011 & 0.008 & 0.010 & 0.004 & 0.004 \\ +D4 & & & & 1 & 0.010 & 0.008 & 0.008 & 0.007 & 0.008 & 0.003 & 0.004 \\ +D5 & & & & & 1 & 0.010 & 0.010 & 0.008 & 0.010 & 0.004 & 0.004 \\ +D6 & & & & & & 1 & 0.009 & 0.008 & 0.011 & 0.004 & 0.005 \\ +D7 & & & & & & & 1 & 0.009 & 0.012 & 0.005 & 0.006 \\ +D8 & & & & & & & & 1 & 0.012 & 0.005 & 0.006 \\ +D9 & & & & & & & & & 1 & 0.007 & 0.008 \\ +D10 & & & & & & & & & & 1 & 0.003 \\ +D11 & & & & & & & & & & & 1 \\ +\hline + \hline +\end{tabular} \ No newline at end of file diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrIVsA.tex b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrIVsA.tex new file mode 100644 index 0000000000..05ea6a40f9 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrIVsA.tex @@ -0,0 +1,22 @@ +\begin{tabular}{c@{~~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c} +\hline + \hline +Bin & A1 & A2 & A3 & A4 & A5 & A6 & A7 & A8 & A9 & A10 \\ +\hline +I1 & 0.020 & 0.011 & 0.009 & 0.007 & 0.007 & 0.009 & 0.010 & 0.009 & 0.011 & 0.017 \\ +I2 & 0.027 & 0.025 & 0.023 & 0.018 & 0.018 & 0.023 & 0.027 & 0.023 & 0.029 & 0.044 \\ +I3 & 0.066 & 0.054 & 0.029 & 0.013 & 0.006 & 0.006 & 0.007 & 0.006 & 0.008 & 0.012 \\ +I4 & 0.033 & 0.062 & 0.056 & 0.025 & 0.009 & 0.006 & 0.006 & 0.006 & 0.007 & 0.010 \\ +I5 & 0.006 & 0.053 & 0.064 & 0.053 & 0.020 & 0.010 & 0.007 & 0.006 & 0.007 & 0.011 \\ +I6 & 0.002 & 0.023 & 0.058 & 0.064 & 0.042 & 0.018 & 0.008 & 0.005 & 0.007 & 0.010 \\ +I7 & 0.002 & 0.005 & 0.047 & 0.072 & 0.078 & 0.059 & 0.024 & 0.009 & 0.008 & 0.012 \\ +I8 & 0.003 & 0.005 & 0.026 & 0.059 & 0.073 & 0.096 & 0.059 & 0.023 & 0.014 & 0.019 \\ +I9 & 0.002 & 0.003 & 0.008 & 0.034 & 0.052 & 0.081 & 0.103 & 0.052 & 0.018 & 0.012 \\ +I10 & 0.002 & 0.003 & 0.005 & 0.016 & 0.031 & 0.056 & 0.086 & 0.116 & 0.048 & 0.021 \\ +I11 & 0.002 & 0.003 & 0.005 & 0.007 & 0.015 & 0.031 & 0.057 & 0.093 & 0.124 & 0.047 \\ +I12 & 0.001 & 0.002 & 0.003 & 0.003 & 0.005 & 0.012 & 0.026 & 0.057 & 0.096 & 0.131 \\ +I13 & 0.002 & 0.003 & 0.005 & 0.004 & 0.005 & 0.008 & 0.014 & 0.029 & 0.063 & 0.116 \\ +I14 & 0.001 & 0.002 & 0.003 & 0.003 & 0.003 & 0.004 & 0.006 & 0.011 & 0.026 & 0.064 \\ +\hline + \hline +\end{tabular} \ No newline at end of file diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrIVsB.tex b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrIVsB.tex new file mode 100644 index 0000000000..73afd6f419 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrIVsB.tex @@ -0,0 +1,22 @@ +\begin{tabular}{c@{~~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c} +\hline + \hline +Bin & B1 & B2 & B3 & B4 & B5 & B6 & B7 & B8 & B9 & B10 & B11 \\ +\hline +I1 & 0.028 & 0.020 & 0.013 & 0.012 & 0.011 & 0.015 & 0.015 & 0.016 & 0.013 & 0.013 & 0.010 \\ +I2 & 0.033 & 0.043 & 0.035 & 0.032 & 0.028 & 0.038 & 0.038 & 0.041 & 0.034 & 0.034 & 0.027 \\ +I3 & 0.086 & 0.085 & 0.051 & 0.024 & 0.011 & 0.011 & 0.010 & 0.011 & 0.009 & 0.009 & 0.007 \\ +I4 & 0.032 & 0.090 & 0.087 & 0.046 & 0.018 & 0.012 & 0.009 & 0.010 & 0.008 & 0.008 & 0.006 \\ +I5 & 0.005 & 0.063 & 0.094 & 0.089 & 0.037 & 0.019 & 0.011 & 0.011 & 0.009 & 0.009 & 0.007 \\ +I6 & 0.002 & 0.022 & 0.082 & 0.094 & 0.078 & 0.035 & 0.014 & 0.010 & 0.008 & 0.008 & 0.006 \\ +I7 & 0.003 & 0.006 & 0.055 & 0.101 & 0.109 & 0.103 & 0.043 & 0.019 & 0.010 & 0.010 & 0.008 \\ +I8 & 0.004 & 0.008 & 0.027 & 0.080 & 0.103 & 0.138 & 0.105 & 0.047 & 0.020 & 0.015 & 0.012 \\ +I9 & 0.002 & 0.005 & 0.008 & 0.043 & 0.071 & 0.114 & 0.147 & 0.101 & 0.033 & 0.012 & 0.007 \\ +I10 & 0.003 & 0.006 & 0.007 & 0.020 & 0.041 & 0.078 & 0.119 & 0.171 & 0.094 & 0.031 & 0.010 \\ +I11 & 0.003 & 0.005 & 0.007 & 0.010 & 0.020 & 0.043 & 0.077 & 0.131 & 0.185 & 0.089 & 0.023 \\ +I12 & 0.001 & 0.003 & 0.003 & 0.004 & 0.006 & 0.017 & 0.035 & 0.076 & 0.134 & 0.200 & 0.072 \\ +I13 & 0.002 & 0.005 & 0.006 & 0.008 & 0.007 & 0.012 & 0.019 & 0.040 & 0.081 & 0.156 & 0.208 \\ +I14 & 0.002 & 0.003 & 0.004 & 0.005 & 0.005 & 0.006 & 0.008 & 0.016 & 0.035 & 0.086 & 0.179 \\ +\hline + \hline +\end{tabular} \ No newline at end of file diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrIVsC.tex b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrIVsC.tex new file mode 100644 index 0000000000..743124a965 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrIVsC.tex @@ -0,0 +1,22 @@ +\begin{tabular}{c@{~~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c} +\hline + \hline +Bin & C1 & C2 & C3 & C4 & C5 & C6 & C7 & C8 & C9 & C10 \\ +\hline +I1 & 0.016 & 0.014 & 0.008 & 0.008 & 0.008 & 0.007 & 0.011 & 0.011 & 0.009 & 0.023 \\ +I2 & 0.021 & 0.034 & 0.020 & 0.022 & 0.022 & 0.018 & 0.029 & 0.027 & 0.023 & 0.059 \\ +I3 & 0.051 & 0.045 & 0.024 & 0.012 & 0.007 & 0.005 & 0.008 & 0.007 & 0.006 & 0.016 \\ +I4 & 0.026 & 0.052 & 0.044 & 0.022 & 0.009 & 0.005 & 0.007 & 0.007 & 0.006 & 0.014 \\ +I5 & 0.004 & 0.046 & 0.052 & 0.045 & 0.018 & 0.008 & 0.008 & 0.007 & 0.006 & 0.015 \\ +I6 & 0.001 & 0.021 & 0.047 & 0.055 & 0.038 & 0.015 & 0.008 & 0.006 & 0.005 & 0.013 \\ +I7 & 0.002 & 0.008 & 0.036 & 0.057 & 0.062 & 0.046 & 0.021 & 0.010 & 0.007 & 0.017 \\ +I8 & 0.002 & 0.010 & 0.020 & 0.048 & 0.060 & 0.077 & 0.051 & 0.023 & 0.012 & 0.025 \\ +I9 & 0.001 & 0.006 & 0.006 & 0.028 & 0.044 & 0.065 & 0.086 & 0.045 & 0.015 & 0.016 \\ +I10 & 0.002 & 0.007 & 0.005 & 0.015 & 0.027 & 0.046 & 0.073 & 0.096 & 0.041 & 0.025 \\ +I11 & 0.002 & 0.006 & 0.004 & 0.007 & 0.015 & 0.025 & 0.049 & 0.080 & 0.102 & 0.047 \\ +I12 & 0.001 & 0.003 & 0.002 & 0.003 & 0.005 & 0.010 & 0.024 & 0.051 & 0.083 & 0.112 \\ +I13 & 0.001 & 0.006 & 0.004 & 0.005 & 0.006 & 0.006 & 0.014 & 0.027 & 0.055 & 0.108 \\ +I14 & 0.001 & 0.004 & 0.003 & 0.004 & 0.004 & 0.003 & 0.006 & 0.012 & 0.024 & 0.064 \\ +\hline + \hline +\end{tabular} \ No newline at end of file diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrIVsD.tex b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrIVsD.tex new file mode 100644 index 0000000000..963dc3f77f --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrIVsD.tex @@ -0,0 +1,22 @@ +\begin{tabular}{c@{~~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c} +\hline + \hline +Bin & D1 & D2 & D3 & D4 & D5 & D6 & D7 & D8 & D9 & D10 & D11 \\ +\hline +I1 & 0.011 & 0.018 & 0.011 & 0.006 & 0.007 & 0.007 & 0.008 & 0.009 & 0.012 & 0.005 & 0.006 \\ +I2 & 0.011 & 0.029 & 0.026 & 0.017 & 0.017 & 0.019 & 0.022 & 0.022 & 0.032 & 0.012 & 0.015 \\ +I3 & 0.030 & 0.060 & 0.047 & 0.023 & 0.010 & 0.006 & 0.006 & 0.006 & 0.009 & 0.003 & 0.004 \\ +I4 & 0.004 & 0.042 & 0.061 & 0.043 & 0.019 & 0.009 & 0.006 & 0.005 & 0.008 & 0.003 & 0.004 \\ +I5 & 0.001 & 0.016 & 0.056 & 0.061 & 0.038 & 0.018 & 0.008 & 0.006 & 0.008 & 0.003 & 0.004 \\ +I6 & 0.001 & 0.004 & 0.034 & 0.057 & 0.057 & 0.037 & 0.014 & 0.006 & 0.007 & 0.003 & 0.003 \\ +I7 & 0.001 & 0.003 & 0.015 & 0.054 & 0.065 & 0.076 & 0.045 & 0.018 & 0.011 & 0.004 & 0.004 \\ +I8 & 0.001 & 0.005 & 0.008 & 0.034 & 0.056 & 0.078 & 0.085 & 0.047 & 0.023 & 0.006 & 0.007 \\ +I9 & 0.001 & 0.003 & 0.004 & 0.013 & 0.035 & 0.059 & 0.080 & 0.089 & 0.042 & 0.011 & 0.005 \\ +I10 & 0.001 & 0.003 & 0.004 & 0.005 & 0.018 & 0.036 & 0.060 & 0.091 & 0.096 & 0.036 & 0.010 \\ +I11 & 0.001 & 0.003 & 0.004 & 0.004 & 0.008 & 0.019 & 0.035 & 0.064 & 0.101 & 0.098 & 0.030 \\ +I12 & 0.000 & 0.002 & 0.002 & 0.002 & 0.003 & 0.006 & 0.015 & 0.032 & 0.064 & 0.109 & 0.094 \\ +I13 & 0.001 & 0.003 & 0.004 & 0.003 & 0.004 & 0.005 & 0.009 & 0.016 & 0.036 & 0.068 & 0.127 \\ +I14 & 0.001 & 0.002 & 0.002 & 0.002 & 0.003 & 0.003 & 0.004 & 0.006 & 0.016 & 0.033 & 0.076 \\ +\hline + \hline +\end{tabular} \ No newline at end of file diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrIVsI.tex b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrIVsI.tex new file mode 100644 index 0000000000..99e5900359 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/rawdata/corrIVsI.tex @@ -0,0 +1,22 @@ +\begin{tabular}{c@{~~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c@{~~}c} +\hline + \hline +Bin & I1 & I2 & I3 & I4 & I5 & I6 & I7 & I8 & I9 & I10 & I11 & I12 & I13 & I14 \\ +\hline +I1 & 1 & 0.065 & 0.057 & 0.044 & 0.036 & 0.026 & 0.024 & 0.024 & 0.016 & 0.013 & 0.011 & 0.006 & 0.007 & 0.005 \\ +I2 & & 1 & 0.056 & 0.045 & 0.039 & 0.030 & 0.031 & 0.036 & 0.023 & 0.023 & 0.020 & 0.010 & 0.016 & 0.011 \\ +I3 & & & 1 & 0.046 & 0.039 & 0.030 & 0.027 & 0.024 & 0.016 & 0.013 & 0.009 & 0.005 & 0.006 & 0.004 \\ +I4 & & & & 1 & 0.035 & 0.028 & 0.025 & 0.022 & 0.014 & 0.011 & 0.008 & 0.005 & 0.005 & 0.003 \\ +I5 & & & & & 1 & 0.029 & 0.026 & 0.023 & 0.015 & 0.012 & 0.009 & 0.005 & 0.005 & 0.003 \\ +I6 & & & & & & 1 & 0.025 & 0.023 & 0.016 & 0.012 & 0.009 & 0.005 & 0.005 & 0.003 \\ +I7 & & & & & & & 1 & 0.028 & 0.022 & 0.019 & 0.014 & 0.008 & 0.008 & 0.005 \\ +I8 & & & & & & & & 1 & 0.029 & 0.027 & 0.022 & 0.014 & 0.012 & 0.008 \\ +I9 & & & & & & & & & 1 & 0.030 & 0.026 & 0.018 & 0.014 & 0.008 \\ +I10 & & & & & & & & & & 1 & 0.035 & 0.028 & 0.022 & 0.013 \\ +I11 & & & & & & & & & & & 1 & 0.037 & 0.031 & 0.020 \\ +I12 & & & & & & & & & & & & 1 & 0.041 & 0.030 \\ +I13 & & & & & & & & & & & & & 1 & 0.044 \\ +I14 & & & & & & & & & & & & & & 1 \\ +\hline + \hline +\end{tabular} \ No newline at end of file diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/uncertainties.yaml new file mode 100644 index 0000000000..c882bbfc92 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/uncertainties.yaml @@ -0,0 +1,1046 @@ +definitions: + lumi_ue: + description: underlying event and relative luminosity uncertainty + treatment: ADD + type: STAR2012LUMIUE + pol: + description: polarization uncertainty + treatment: MULT + type: STAR2012POL + sys_0: + description: 0 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2013JETunc0 + sys_1: + description: 1 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2013JETunc1 + sys_2: + description: 2 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2013JETunc2 + sys_3: + description: 3 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2013JETunc3 + sys_4: + description: 4 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2013JETunc4 + sys_5: + description: 5 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2013JETunc5 + sys_6: + description: 6 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2013JETunc6 + sys_7: + description: 7 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2013JETunc7 + sys_8: + description: 8 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2013JETunc8 + sys_9: + description: 9 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2013JETunc9 + sys_10: + description: 10 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2013JETunc10 + sys_11: + description: 11 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2013JETunc11 + sys_12: + description: 12 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2013JETunc12 + sys_13: + description: 13 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2013JETunc13 + sys_14: + description: 14 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2013JETunc14 + sys_15: + description: 15 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2013JETunc15 + sys_16: + description: 16 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2013JETunc16 + sys_17: + description: 17 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2013JETunc17 + sys_18: + description: 18 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2013JETunc18 + sys_19: + description: 19 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2013JETunc19 + sys_20: + description: 20 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2013JETunc20 + sys_21: + description: 21 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2013JETunc21 + sys_22: + description: 22 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2013JETunc22 + sys_23: + description: 23 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2013JETunc23 + sys_24: + description: 24 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2013JETunc24 + sys_25: + description: 25 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2013JETunc25 + sys_26: + description: 26 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2013JETunc26 + sys_27: + description: 27 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2013JETunc27 + sys_28: + description: 28 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2013JETunc28 + sys_29: + description: 29 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2013JETunc29 + sys_30: + description: 30 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2013JETunc30 + sys_31: + description: 31 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2013JETunc31 + sys_32: + description: 32 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2013JETunc32 + sys_33: + description: 33 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2013JETunc33 + sys_34: + description: 34 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2013JETunc34 + sys_35: + description: 35 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2013JETunc35 + sys_36: + description: 36 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2013JETunc36 + sys_37: + description: 37 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2013JETunc37 + sys_38: + description: 38 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2013JETunc38 + sys_39: + description: 39 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2013JETunc39 + sys_40: + description: 40 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2013JETunc40 + sys_41: + description: 41 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2013JETunc41 + sys_42: + description: 42 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2013JETunc42 + sys_43: + description: 43 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2013JETunc43 + sys_44: + description: 44 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2013JETunc44 + sys_45: + description: 45 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2013JETunc45 + sys_46: + description: 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sys_34: -3.8530515659520536e-08 + sys_35: 1.0728441568670239e-07 + sys_36: 6.214679324429229e-09 + sys_37: -6.986221501753868e-08 + sys_38: 9.861791738248979e-10 + sys_39: -7.280487478451985e-08 + sys_40: -8.024537666939139e-08 + sys_41: -8.933921828313462e-09 + sys_42: -1.0330244421961704e-08 + sys_43: 3.861452855463656e-09 + sys_44: -3.6083948296348184e-09 + sys_45: 2.463817977126938e-09 + sys_46: 4.674049774422517e-10 + sys_47: -3.723128004171262e-08 + sys_48: -1.0158152894581887e-08 + sys_49: 1.5376116888983531e-09 + sys_50: -6.752114402721217e-09 + sys_51: 1.282874579934122e-09 + sys_52: 3.873154541500846e-10 + sys_53: 1.1239378569623433e-09 + sys_54: 1.3794245316759332e-09 + sys_55: 1.2540320616809989e-09 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_A_510GEV/data.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_A_510GEV/data.yaml new file mode 100644 index 0000000000..96f7365a39 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_A_510GEV/data.yaml @@ -0,0 +1,11 @@ +data_central: +- -0.0128 +- 0.009 +- 0.0079 +- -0.0012 +- 0.0101 +- -0.0013 +- 0.0048 +- 0.0052 +- 0.0363 +- -0.0218 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_A_510GEV/kinematics.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_A_510GEV/kinematics.yaml new file mode 100644 index 0000000000..aa74b03509 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_A_510GEV/kinematics.yaml @@ -0,0 +1,81 @@ +bins: +- m_jj: + max: 19.86 + mid: 19.04 + min: 18.22 + sqrts: + max: null + mid: 510.0 + min: null +- m_jj: + max: 22.58 + mid: 21.62 + min: 20.66 + sqrts: + max: null + mid: 510.0 + min: null +- m_jj: + max: 27.46 + mid: 26.380000000000003 + min: 25.3 + sqrts: + max: null + mid: 510.0 + min: null +- m_jj: + max: 33.46 + mid: 32.3 + min: 31.14 + sqrts: + max: null + mid: 510.0 + min: null +- m_jj: + max: 39.62 + mid: 38.42 + min: 37.22 + sqrts: + max: null + mid: 510.0 + min: null +- m_jj: + max: 46.66 + mid: 45.18 + min: 43.7 + sqrts: + max: null + mid: 510.0 + min: null +- m_jj: + max: 54.97 + mid: 53.42 + min: 51.87 + sqrts: + max: null + mid: 510.0 + min: null +- m_jj: + max: 65.32 + mid: 63.52 + min: 61.72 + sqrts: + max: null + mid: 510.0 + min: null +- m_jj: + max: 77.76 + mid: 75.55000000000001 + min: 73.34 + sqrts: + max: null + mid: 510.0 + min: null +- m_jj: + max: 91.5 + mid: 89.12 + min: 86.74 + sqrts: + max: null + mid: 510.0 + min: null diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_A_510GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_A_510GEV/metadata.yaml new file mode 100644 index 0000000000..636cc9c53b --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_A_510GEV/metadata.yaml @@ -0,0 +1,41 @@ +setname: "STAR_2012_2JET_A_510GEV" + +nnpdf_metadata: + experiment: "STAR" + nnpdf31_process: "JETS" + +iNSPIRE: + url: "https://inspirehep.net/literature/1738738" +hepdata: + url: "https://www.hepdata.net/record/ins1738738" + version: 1 +arXiv: + url: https://arxiv.org/abs/1906.02740 + +version: 1 +version_comment: "Initial implementation, correlations from arXiv" + +implemented_observables: + - observable: { description: "ALL as function of $M_{inv}$, topology A", label: "$A_{LL}$", units: "" } + observable_name: ALL + process_type: DIJET_POL + ndata: 10 + tables: [14] + kinematics: + variables: + m_jj: {description: "dijet mass", label: "$m_{jj}$", units: "GeV"} + sqrts: {description: "center of mass energy", label: r"$\sqrt(s)$", units: "GeV"} + file: kinematics.yaml + kinematic_coverage: [m_jj, sqrts] + data_central: data.yaml + data_uncertainties: + - uncertainties.yaml + plotting: + dataset_label: "STAR 510 GeV (2012) DIJET $A_{LL}$, topology A" + kinematics_override: identity + plot_x: m_jj + x_scale: log + y_label: "$A_{LL}$" + theory: + FK_tables: + - - STAR_2012_2JJET_A_510GEV_ALL diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_A_510GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_A_510GEV/uncertainties.yaml new file mode 100644 index 0000000000..f64d5a79c9 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_A_510GEV/uncertainties.yaml @@ -0,0 +1,828 @@ +definitions: + stat: + description: statistical uncertainty + treatment: ADD + type: UNCORR + lumi_ue: + description: underlying event and relative luminosity uncertainty + treatment: ADD + type: STAR2012LUMIUE + pol: + description: polarization uncertainty + treatment: MULT + type: STAR2012POL + sys_0: + description: 0 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc0 + sys_1: + description: 1 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc1 + sys_2: + description: 2 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc2 + sys_3: + description: 3 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc3 + sys_4: + description: 4 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc4 + sys_5: + description: 5 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc5 + sys_6: + description: 6 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc6 + sys_7: + description: 7 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc7 + sys_8: + description: 8 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc8 + sys_9: + description: 9 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc9 + sys_10: + description: 10 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc10 + sys_11: + description: 11 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc11 + sys_12: + description: 12 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc12 + sys_13: + description: 13 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc13 + sys_14: + description: 14 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc14 + sys_15: + description: 15 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc15 + sys_16: + description: 16 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc16 + sys_17: + description: 17 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc17 + sys_18: + description: 18 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc18 + sys_19: + description: 19 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc19 + sys_20: + description: 20 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc20 + sys_21: + description: 21 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc21 + sys_22: + description: 22 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc22 + sys_23: + description: 23 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc23 + sys_24: + description: 24 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc24 + sys_25: + description: 25 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc25 + sys_26: + description: 26 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc26 + sys_27: + description: 27 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc27 + sys_28: + description: 28 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc28 + sys_29: + description: 29 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc29 + sys_30: + description: 30 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc30 + sys_31: + description: 31 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc31 + sys_32: + description: 32 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc32 + sys_33: + description: 33 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc33 + sys_34: + description: 34 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc34 + sys_35: + description: 35 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc35 + sys_36: + description: 36 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc36 + sys_37: + description: 37 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc37 + sys_38: + description: 38 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc38 + sys_39: + description: 39 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc39 + sys_40: + description: 40 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc40 + sys_41: + description: 41 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc41 + sys_42: + description: 42 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc42 + sys_43: + description: 43 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc43 + sys_44: + description: 44 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc44 + sys_45: + description: 45 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc45 + sys_46: + description: 46 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc46 + sys_47: + description: 47 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc47 + sys_48: + description: 48 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc48 + sys_49: + description: 49 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc49 + sys_50: + description: 50 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc50 + sys_51: + description: 51 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc51 + sys_52: + description: 52 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc52 + sys_53: + description: 53 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc53 + sys_54: + description: 54 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc54 + 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null + mid: 510.0 + min: null +- m_jj: + max: 22.74 + mid: 21.8 + min: 20.86 + sqrts: + max: null + mid: 510.0 + min: null +- m_jj: + max: 27.46 + mid: 26.37 + min: 25.28 + sqrts: + max: null + mid: 510.0 + min: null +- m_jj: + max: 33.31 + mid: 32.24 + min: 31.17 + sqrts: + max: null + mid: 510.0 + min: null +- m_jj: + max: 39.73 + mid: 38.42 + min: 37.11 + sqrts: + max: null + mid: 510.0 + min: null +- m_jj: + max: 47.24 + mid: 45.83 + min: 44.42 + sqrts: + max: null + mid: 510.0 + min: null +- m_jj: + max: 55.83 + mid: 54.14 + min: 52.45 + sqrts: + max: null + mid: 510.0 + min: null +- m_jj: + max: 66.0 + mid: 64.17 + min: 62.34 + sqrts: + max: null + mid: 510.0 + min: null +- m_jj: + max: 78.19 + mid: 76.06 + min: 73.93 + sqrts: + max: null + mid: 510.0 + min: null +- m_jj: + max: 92.29 + mid: 89.81 + min: 87.33 + sqrts: + max: null + mid: 510.0 + min: null +- m_jj: + max: 110.81 + mid: 107.92 + min: 105.03 + sqrts: + max: null + mid: 510.0 + min: null diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_B_510GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_B_510GEV/metadata.yaml new file mode 100644 index 0000000000..6e31c91b59 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_B_510GEV/metadata.yaml @@ -0,0 +1,41 @@ +setname: "STAR_2012_2JET_B_510GEV" + +nnpdf_metadata: + experiment: "STAR" + nnpdf31_process: "JETS" + +iNSPIRE: + url: "https://inspirehep.net/literature/1738738" +hepdata: + url: "https://www.hepdata.net/record/ins1738738" + version: 1 +arXiv: + url: https://arxiv.org/abs/1906.02740 + +version: 1 +version_comment: "Initial implementation, correlations from arXiv" + +implemented_observables: + - observable: { description: "ALL as function of $M_{inv}$, topology B", label: "$A_{LL}$", units: "" } + observable_name: ALL + process_type: DIJET_POL + ndata: 11 + tables: [14] + kinematics: + variables: + m_jj: {description: "dijet mass", label: "$m_{jj}$", units: "GeV"} + sqrts: {description: "center of mass energy", label: r"$\sqrt(s)$", units: "GeV"} + file: kinematics.yaml + kinematic_coverage: [m_jj, sqrts] + data_central: data.yaml + data_uncertainties: + - uncertainties.yaml + plotting: + dataset_label: "STAR 510 GeV (2012) DIJET $A_{LL}$, topology B" + kinematics_override: identity + plot_x: m_jj + x_scale: log + y_label: "$A_{LL}$" + theory: + FK_tables: + - - STAR_2012_2JJET_B_510GEV_ALL diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_B_510GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_B_510GEV/uncertainties.yaml new file mode 100644 index 0000000000..a33894ad64 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_B_510GEV/uncertainties.yaml @@ -0,0 +1,887 @@ +definitions: + stat: + description: statistical uncertainty + treatment: ADD + type: UNCORR + lumi_ue: + description: underlying event and relative luminosity uncertainty + treatment: ADD + type: STAR2012LUMIUE + pol: + description: polarization uncertainty + treatment: MULT + type: STAR2012POL + sys_0: + description: 0 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc0 + sys_1: + description: 1 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc1 + sys_2: + description: 2 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc2 + sys_3: + description: 3 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc3 + sys_4: + description: 4 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc4 + sys_5: + description: 5 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc5 + sys_6: + description: 6 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc6 + sys_7: + description: 7 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc7 + sys_8: + description: 8 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc8 + sys_9: + description: 9 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc9 + sys_10: + description: 10 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc10 + sys_11: + description: 11 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc11 + sys_12: + description: 12 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc12 + sys_13: + description: 13 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc13 + sys_14: + description: 14 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc14 + sys_15: + description: 15 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc15 + sys_16: + description: 16 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc16 + sys_17: + description: 17 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc17 + sys_18: + description: 18 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc18 + sys_19: + description: 19 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc19 + sys_20: + description: 20 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc20 + sys_21: + description: 21 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc21 + sys_22: + description: 22 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc22 + sys_23: + description: 23 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc23 + sys_24: + description: 24 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc24 + sys_25: + description: 25 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc25 + sys_26: + description: 26 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc26 + sys_27: + description: 27 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc27 + sys_28: + description: 28 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc28 + sys_29: + description: 29 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc29 + sys_30: + description: 30 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc30 + sys_31: + description: 31 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc31 + sys_32: + description: 32 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc32 + sys_33: + description: 33 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc33 + sys_34: + description: 34 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc34 + sys_35: + description: 35 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc35 + sys_36: + description: 36 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc36 + sys_37: + description: 37 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc37 + sys_38: + description: 38 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc38 + sys_39: + description: 39 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc39 + sys_40: + description: 40 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc40 + sys_41: + description: 41 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc41 + sys_42: + description: 42 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc42 + sys_43: + description: 43 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc43 + sys_44: + description: 44 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc44 + sys_45: + description: 45 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc45 + sys_46: + description: 46 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc46 + sys_47: + description: 47 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc47 + sys_48: + description: 48 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc48 + sys_49: + description: 49 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc49 + sys_50: + description: 50 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc50 + 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1.262359229870813e-07 + sys_43: -6.081353258315695e-08 + sys_44: 1.0560829220358257e-07 + sys_45: -2.450655837451025e-08 + sys_46: 2.487057404799191e-08 + sys_47: 4.941399429648063e-07 + sys_48: 1.0336475711600947e-07 + sys_49: -2.7651578798549535e-08 + sys_50: 1.0636285008630778e-07 + sys_51: -1.1285352348201996e-08 + sys_52: 1.494306642883637e-08 + sys_53: -2.967856390762434e-09 + sys_54: -1.6641019042708856e-08 + sys_55: -3.3283838979182453e-09 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_C_510GEV/data.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_C_510GEV/data.yaml new file mode 100644 index 0000000000..9fe7a0dfa4 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_C_510GEV/data.yaml @@ -0,0 +1,11 @@ +data_central: +- 0.0058 +- -0.0006 +- -0.0043 +- 0.0049 +- 0.0046 +- 0.0155 +- -0.0045 +- 0.0104 +- 0.0346 +- 0.0593 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_C_510GEV/kinematics.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_C_510GEV/kinematics.yaml new file mode 100644 index 0000000000..3249f1848e --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_C_510GEV/kinematics.yaml @@ -0,0 +1,81 @@ +bins: +- m_jj: + max: 20.62 + mid: 19.81 + min: 19.0 + sqrts: + max: null + mid: 510.0 + min: null +- m_jj: + max: 23.13 + mid: 22.01 + min: 20.89 + sqrts: + max: null + mid: 510.0 + min: null +- m_jj: + max: 27.24 + mid: 26.16 + min: 25.08 + sqrts: + max: null + mid: 510.0 + min: null +- m_jj: + max: 33.89 + mid: 32.7 + min: 31.51 + sqrts: + max: null + mid: 510.0 + min: null +- m_jj: + max: 40.05 + mid: 38.71 + min: 37.37 + sqrts: + max: null + mid: 510.0 + min: null +- m_jj: + max: 47.37 + mid: 46.01 + min: 44.65 + sqrts: + max: null + mid: 510.0 + min: null +- m_jj: + max: 55.67 + mid: 53.89 + min: 52.11 + sqrts: + max: null + mid: 510.0 + min: null +- m_jj: + max: 66.49 + mid: 64.75 + min: 63.01 + sqrts: + max: null + mid: 510.0 + min: null +- m_jj: + max: 79.42 + mid: 77.15 + min: 74.88 + sqrts: + max: null + mid: 510.0 + min: null +- m_jj: + max: 93.72 + mid: 91.14 + min: 88.56 + sqrts: + max: null + mid: 510.0 + min: null diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_C_510GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_C_510GEV/metadata.yaml new file mode 100644 index 0000000000..5a33d1227c --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_C_510GEV/metadata.yaml @@ -0,0 +1,41 @@ +setname: "STAR_2012_2JET_C_510GEV" + +nnpdf_metadata: + experiment: "STAR" + nnpdf31_process: "JETS" + +iNSPIRE: + url: "https://inspirehep.net/literature/1738738" +hepdata: + url: "https://www.hepdata.net/record/ins1738738" + version: 1 +arXiv: + url: https://arxiv.org/abs/1906.02740 + +version: 1 +version_comment: "Initial implementation, correlations from arXiv" + +implemented_observables: + - observable: { description: "ALL as function of $M_{inv}$, topology C", label: "$A_{LL}$", units: "" } + observable_name: ALL + process_type: DIJET_POL + ndata: 10 + tables: [14] + kinematics: + variables: + m_jj: {description: "dijet mass", label: "$m_{jj}$", units: "GeV"} + sqrts: {description: "center of mass energy", label: r"$\sqrt(s)$", units: "GeV"} + file: kinematics.yaml + kinematic_coverage: [m_jj, sqrts] + data_central: data.yaml + data_uncertainties: + - uncertainties.yaml + plotting: + dataset_label: "STAR 510 GeV (2012) DIJET $A_{LL}$, topology C" + kinematics_override: identity + plot_x: m_jj + x_scale: log + y_label: "$A_{LL}$" + theory: + FK_tables: + - - STAR_2012_2JJET_C_510GEV_ALL diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_C_510GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_C_510GEV/uncertainties.yaml new file mode 100644 index 0000000000..16fe89f45b --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_C_510GEV/uncertainties.yaml @@ -0,0 +1,828 @@ +definitions: + stat: + description: statistical uncertainty + treatment: ADD + type: UNCORR + lumi_ue: + description: underlying event and relative luminosity uncertainty + treatment: ADD + type: STAR2012LUMIUE + pol: + description: polarization uncertainty + treatment: MULT + type: STAR2012POL + sys_0: + description: 0 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc0 + sys_1: + description: 1 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc1 + sys_2: + description: 2 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc2 + sys_3: + description: 3 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc3 + sys_4: + description: 4 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc4 + sys_5: + description: 5 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc5 + sys_6: + description: 6 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc6 + sys_7: + description: 7 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc7 + sys_8: + description: 8 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc8 + sys_9: + description: 9 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc9 + sys_10: + description: 10 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc10 + sys_11: + description: 11 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc11 + sys_12: + description: 12 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc12 + sys_13: + description: 13 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc13 + sys_14: + description: 14 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc14 + sys_15: + description: 15 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc15 + sys_16: + description: 16 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc16 + sys_17: + description: 17 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc17 + sys_18: + description: 18 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc18 + sys_19: + description: 19 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc19 + sys_20: + description: 20 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc20 + sys_21: + description: 21 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc21 + sys_22: + description: 22 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc22 + sys_23: + description: 23 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc23 + sys_24: + description: 24 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc24 + sys_25: + description: 25 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc25 + sys_26: + description: 26 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc26 + sys_27: + description: 27 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc27 + sys_28: + description: 28 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc28 + sys_29: + description: 29 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc29 + sys_30: + description: 30 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc30 + sys_31: + description: 31 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc31 + sys_32: + description: 32 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc32 + sys_33: + description: 33 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc33 + sys_34: + description: 34 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc34 + sys_35: + description: 35 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc35 + sys_36: + description: 36 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc36 + sys_37: + description: 37 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc37 + sys_38: + description: 38 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc38 + sys_39: + description: 39 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc39 + sys_40: + description: 40 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc40 + sys_41: + description: 41 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc41 + sys_42: + description: 42 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc42 + sys_43: + description: 43 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc43 + sys_44: + description: 44 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc44 + sys_45: + description: 45 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc45 + sys_46: + description: 46 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc46 + sys_47: + description: 47 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc47 + sys_48: + description: 48 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc48 + sys_49: + description: 49 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc49 + sys_50: + description: 50 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc50 + sys_51: + description: 51 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc51 + sys_52: + description: 52 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc52 + sys_53: + description: 53 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc53 + sys_54: + description: 54 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc54 + sys_55: + description: 55 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc55 +bins: +- stat: 0.0085 + lumi_ue: 0.00026 + pol: 0.0003828 + sys_0: -2.5482830979737217e-07 + sys_1: -5.769850292115005e-07 + sys_2: -1.1005432363669914e-06 + sys_3: -2.1294360101953275e-07 + sys_4: -7.07382830391889e-07 + sys_5: 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b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_D_510GEV/data.yaml @@ -0,0 +1,12 @@ +data_central: +- 0.0054 +- 0.0042 +- 0.0051 +- -0.0031 +- -0.0018 +- -0.004 +- 0.0034 +- 0.005 +- 0.0058 +- 0.0291 +- -0.0055 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_D_510GEV/kinematics.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_D_510GEV/kinematics.yaml new file mode 100644 index 0000000000..abb28d91f6 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_D_510GEV/kinematics.yaml @@ -0,0 +1,89 @@ +bins: +- m_jj: + max: 22.68 + mid: 20.54 + min: 18.4 + sqrts: + max: null + mid: 510.0 + min: null +- m_jj: + max: 23.04 + mid: 22.09 + min: 21.14 + sqrts: + max: null + mid: 510.0 + min: null +- m_jj: + max: 27.29 + mid: 26.31 + min: 25.33 + sqrts: + max: null + mid: 510.0 + min: null +- m_jj: + max: 32.94 + mid: 31.72 + min: 30.5 + sqrts: + max: null + mid: 510.0 + min: null +- m_jj: + max: 39.79 + mid: 38.48 + min: 37.17 + sqrts: + max: null + mid: 510.0 + min: null +- m_jj: + max: 46.76 + mid: 45.21 + min: 43.66 + sqrts: + max: null + mid: 510.0 + min: null +- m_jj: + max: 55.84 + mid: 54.150000000000006 + min: 52.46 + sqrts: + max: null + mid: 510.0 + min: null +- m_jj: + max: 66.22 + mid: 64.3 + min: 62.38 + sqrts: + max: null + mid: 510.0 + min: null +- m_jj: + max: 78.81 + mid: 76.66 + min: 74.51 + sqrts: + max: null + mid: 510.0 + min: null +- m_jj: + max: 92.19 + mid: 89.57 + min: 86.95 + sqrts: + max: null + mid: 510.0 + min: null +- m_jj: + max: 109.83 + mid: 106.86 + min: 103.89 + sqrts: + max: null + mid: 510.0 + min: null diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_D_510GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_D_510GEV/metadata.yaml new file mode 100644 index 0000000000..2234430df2 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_D_510GEV/metadata.yaml @@ -0,0 +1,41 @@ +setname: "STAR_2012_2JET_D_510GEV" + +nnpdf_metadata: + experiment: "STAR" + nnpdf31_process: "JETS" + +iNSPIRE: + url: "https://inspirehep.net/literature/1738738" +hepdata: + url: "https://www.hepdata.net/record/ins1738738" + version: 1 +arXiv: + url: https://arxiv.org/abs/1906.02740 + +version: 1 +version_comment: "Initial implementation, correlations from arXiv" + +implemented_observables: + - observable: { description: "ALL as function of $M_{inv}$, topology D", label: "$A_{LL}$", units: "" } + observable_name: ALL + process_type: DIJET_POL + ndata: 11 + tables: [14] + kinematics: + variables: + m_jj: {description: "dijet mass", label: "$m_{jj}$", units: "GeV"} + sqrts: {description: "center of mass energy", label: r"$\sqrt(s)$", units: "GeV"} + file: kinematics.yaml + kinematic_coverage: [m_jj, sqrts] + data_central: data.yaml + data_uncertainties: + - uncertainties.yaml + plotting: + dataset_label: "STAR 510 GeV (2012) DIJET $A_{LL}$, topology D" + kinematics_override: identity + plot_x: m_jj + x_scale: log + y_label: "$A_{LL}$" + theory: + FK_tables: + - - STAR_2012_2JJET_D_510GEV_ALL diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_D_510GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_D_510GEV/uncertainties.yaml new file mode 100644 index 0000000000..38e92da673 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_D_510GEV/uncertainties.yaml @@ -0,0 +1,887 @@ +definitions: + stat: + description: statistical uncertainty + treatment: ADD + type: UNCORR + lumi_ue: + description: underlying event and relative luminosity uncertainty + treatment: ADD + type: STAR2012LUMIUE + pol: + description: polarization uncertainty + treatment: MULT + type: STAR2012POL + sys_0: + description: 0 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc0 + sys_1: + description: 1 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc1 + sys_2: + description: 2 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc2 + sys_3: + description: 3 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc3 + sys_4: + description: 4 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc4 + sys_5: + description: 5 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc5 + sys_6: + description: 6 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc6 + sys_7: + description: 7 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc7 + sys_8: + description: 8 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc8 + sys_9: + description: 9 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc9 + sys_10: + description: 10 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc10 + sys_11: + description: 11 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc11 + sys_12: + description: 12 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc12 + sys_13: + description: 13 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc13 + sys_14: + description: 14 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc14 + sys_15: + description: 15 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc15 + sys_16: + description: 16 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc16 + sys_17: + description: 17 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc17 + sys_18: + description: 18 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc18 + sys_19: + description: 19 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc19 + sys_20: + description: 20 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc20 + sys_21: + description: 21 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc21 + sys_22: + description: 22 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc22 + sys_23: + description: 23 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc23 + sys_24: + description: 24 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc24 + sys_25: + description: 25 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc25 + sys_26: + description: 26 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc26 + sys_27: + description: 27 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc27 + sys_28: + description: 28 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc28 + sys_29: + description: 29 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc29 + sys_30: + description: 30 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc30 + sys_31: + description: 31 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc31 + sys_32: + description: 32 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc32 + sys_33: + description: 33 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc33 + sys_34: + description: 34 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc34 + sys_35: + description: 35 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc35 + sys_36: + description: 36 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2013JETunc36 + sys_37: + description: 37 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sys_53: -4.714010101544476e-09 + sys_54: -9.521018682603238e-09 + sys_55: -7.908290426262239e-09 From 875eede6899e0ab2eb0ec6d2d9a6d4fa5e3c976e Mon Sep 17 00:00:00 2001 From: toonhasenack Date: Wed, 24 Apr 2024 16:30:32 +0200 Subject: [PATCH 20/70] small correction in metadata --- .../new_commondata/STAR_2009_2JET_A_200GEV/metadata.yaml | 4 ++-- .../new_commondata/STAR_2009_2JET_B_200GEV/metadata.yaml | 4 ++-- .../new_commondata/STAR_2009_2JET_C_200GEV/metadata.yaml | 4 ++-- 3 files changed, 6 insertions(+), 6 deletions(-) diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/metadata.yaml index 58d18669e4..75ab1997b3 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/metadata.yaml @@ -22,8 +22,8 @@ implemented_observables: } observable_name: ALL process_type: DIJET_POL - ndata: 12 - tables: [5] + ndata: 5 + tables: [9] kinematics: variables: m_jj: { description: "dijet mass", label: "$m_{jj}$", units: "GeV" } diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/metadata.yaml index 461ccf9857..93d593d014 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/metadata.yaml @@ -22,8 +22,8 @@ implemented_observables: } observable_name: ALL process_type: DIJET_POL - ndata: 12 - tables: [5] + ndata: 7 + tables: [9] kinematics: variables: m_jj: { description: "dijet mass", label: "$m_{jj}$", units: "GeV" } diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/metadata.yaml index 6e966a7071..675cf5256d 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/metadata.yaml @@ -22,8 +22,8 @@ implemented_observables: } observable_name: ALL process_type: DIJET_POL - ndata: 12 - tables: [5] + ndata: 7 + tables: [9] kinematics: variables: m_jj: { description: "dijet mass", label: "$m_{jj}$", units: "GeV" } From dfa92ba5234a6ab3bb34ce6c24cdd6cc29af3c69 Mon Sep 17 00:00:00 2001 From: toonhasenack Date: Mon, 29 Apr 2024 10:41:01 +0200 Subject: [PATCH 21/70] full implementation of STAR_2009 including correlations --- .../star/jet_dijet_2009_200gev.py | 319 +++ .../STAR_2009_1JET_200GEV/filter.py | 136 -- .../STAR_2009_1JET_200GEV/kinematics.yaml | 354 +-- .../rawdata/correlation.csv | 56 + .../STAR_2009_1JET_200GEV/uncertainties.yaml | 1966 ++++++++++++----- .../STAR_2009_2JET_A_200GEV/filter.py | 85 - .../STAR_2009_2JET_A_200GEV/kinematics.yaml | 40 +- .../STAR_2009_2JET_A_200GEV/metadata.yaml | 4 +- .../{Figure9_Bottom.yaml => Table.yaml} | 0 .../uncertainties.yaml | 520 ++++- .../STAR_2009_2JET_B_200GEV/filter.py | 85 - .../STAR_2009_2JET_B_200GEV/kinematics.yaml | 56 +- .../STAR_2009_2JET_B_200GEV/metadata.yaml | 4 +- .../rawdata/Figure9_Top.yaml | 44 - .../rawdata/Table.yaml | 47 + .../uncertainties.yaml | 636 +++++- .../STAR_2009_2JET_C_200GEV/filter.py | 85 - .../STAR_2009_2JET_C_200GEV/kinematics.yaml | 56 +- .../STAR_2009_2JET_C_200GEV/metadata.yaml | 4 +- .../rawdata/{Figure9_Mid.yaml => Table.yaml} | 0 .../uncertainties.yaml | 636 +++++- .../STAR_2009_2JET_OS_200GEV/data.yaml | 8 + .../STAR_2009_2JET_OS_200GEV/kinematics.yaml | 57 + .../STAR_2009_2JET_OS_200GEV/metadata.yaml | 49 + .../rawdata/Table.yaml | 81 + .../uncertainties.yaml | 640 ++++++ .../STAR_2009_2JET_SS_200GEV/data.yaml | 8 + .../STAR_2009_2JET_SS_200GEV/kinematics.yaml | 57 + .../STAR_2009_2JET_SS_200GEV/metadata.yaml | 49 + .../rawdata/Table.yaml | 81 + .../uncertainties.yaml | 640 ++++++ .../STAR_2012_1JET_510GEV/metadata.yaml | 11 +- 32 files changed, 5561 insertions(+), 1253 deletions(-) create mode 100644 nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2009_200gev.py delete mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/filter.py create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/rawdata/correlation.csv delete mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/filter.py rename nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/rawdata/{Figure9_Bottom.yaml => Table.yaml} (100%) delete mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/filter.py delete mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/rawdata/Figure9_Top.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/rawdata/Table.yaml delete mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/filter.py rename nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/rawdata/{Figure9_Mid.yaml => Table.yaml} (100%) create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_OS_200GEV/data.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_OS_200GEV/kinematics.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_OS_200GEV/metadata.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_OS_200GEV/rawdata/Table.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_OS_200GEV/uncertainties.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_SS_200GEV/data.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_SS_200GEV/kinematics.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_SS_200GEV/metadata.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_SS_200GEV/rawdata/Table.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_SS_200GEV/uncertainties.yaml diff --git a/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2009_200gev.py b/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2009_200gev.py new file mode 100644 index 0000000000..8b98c15ca7 --- /dev/null +++ b/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2009_200gev.py @@ -0,0 +1,319 @@ +"""This script provides the common filer to the jet and dijet STAR 2012 datasets. +Files need to be parsed all together as there are correlations provided. +""" + +import pathlib + +import numpy as np +import pandas as pd +import yaml + +from nnpdf_data.filter_utils.correlations import compute_covmat + +TOPOPLOGY_LIST = ["I", "SS", "OS", "A", "B", "C"] +POL_UNC = 0.065 +LUMI_UNC = 0.0005 +HERE = pathlib.Path(__file__).parents[2] + + +def read_1jet_data(): + df3 = pd.DataFrame() + df4 = pd.DataFrame() + + fnames = [ + "../../new_commondata/STAR_2009_1JET_200GEV/rawdata/Table_3_ALL.csv", + "../../new_commondata/STAR_2009_1JET_200GEV/rawdata/Table_3_pT.csv", + "../../new_commondata/STAR_2009_1JET_200GEV/rawdata/Table_4_ALL.csv", + "../../new_commondata/STAR_2009_1JET_200GEV/rawdata/Table_4_pT.csv", + "../../new_commondata/STAR_2009_1JET_200GEV/rawdata/Table_5.csv", + ] + + for fname in fnames: + if "3" in fname: + dfi = pd.read_csv(fname) + if "pT" in fname: + df3["pT"] = dfi["Parton Jet $p_T$ [GeV/c]"] + + elif "ALL" in fname: + df3["ALL"] = dfi["$A_{LL}$"] + df3["stat_min"] = dfi["stat +"] + df3["stat_max"] = dfi["stat -"] + df3["sys_min"] = dfi["sys +"] + df3["sys_max"] = dfi["sys -"] + + df3["abs_eta_min"] = 0.0 + df3["abs_eta_max"] = 0.5 + df3["abs_eta"] = (df3["abs_eta_min"] + df3["abs_eta_max"]) / 2 + df3["sqrts"] = 200 + + elif "4" in fname: + dfi = pd.read_csv(fname) + if "pT" in fname: + df4["pT"] = dfi["Parton Jet $p_T$ [GeV/c]"] + + if "ALL" in fname: + df4["ALL"] = dfi["$A_{LL}$"] + df4["stat_min"] = dfi["stat +"] + df4["stat_max"] = dfi["stat -"] + df4["sys_min"] = dfi["sys +"] + df4["sys_max"] = dfi["sys -"] + + df4["abs_eta_min"] = 0.5 + df4["abs_eta_max"] = 1.0 + df4["sqrts"] = 200 + + elif "5" in fname: + dfc_col = pd.read_csv(fname) + + dfc = pd.DataFrame() + biny = 1 + for i in range(len(dfc_col)): + if dfc_col.loc[i, "binx"] == "-": + biny = float(dfc_col.loc[i, "val"]) + else: + binx = float(dfc_col.loc[i, "binx"]) + dfc.loc[binx, biny] = dfc_col.loc[i, "val"] + + dfc = dfc.astype("float") + + else: + print("ERROR: Unknown table number detected! Check input files.") + + df = pd.concat([df3, df4], ignore_index=True) + df["pol"] = POL_UNC * df["ALL"] + df["lumi_ue"] = LUMI_UNC + + for i in range(len(df)): + df.loc[i, "stat"] = df.loc[i, "stat_max"] + df.loc[i, "sys"] = df.loc[i, "sys_max"] + return df, dfc + + +def read_2jet_data(topology): + fname = f"../../new_commondata/STAR_2009_2JET_{topology}_200GEV/rawdata/Table.yaml" + df = pd.DataFrame() + with open(fname, "r") as file: + data = yaml.safe_load(file) + + if topology in ["A", "B", "C"]: + Msub = data["independent_variables"][0]["values"] + Gsub = data["dependent_variables"][0]["values"] + + for i in range(len(Msub)): + + df = pd.concat( + [ + df, + pd.DataFrame( + { + "m_low": [Msub[i]["low"]], + "m_high": [Msub[i]["high"]], + "ALL": [Gsub[i]["value"]], + "stat": [Gsub[i]["errors"][0]["symerror"]], + "sys": [Gsub[i]["errors"][1]["symerror"]], + "pol": [POL_UNC * Gsub[i]["value"]], + "lumi_ue": [LUMI_UNC], + } + ), + ], + ignore_index=True, + ) + + df["m"] = (df["m_low"] + df["m_high"]) / 2 + df["sqrts"] = 200 + + else: + Msub = data["dependent_variables"][0]["values"] + Gsub = data["dependent_variables"][1]["values"] + + for i in range(len(Msub)): + + df = pd.concat( + [ + df, + pd.DataFrame( + { + "m": [Msub[i]["value"]], + "ALL": [Gsub[i]["value"]], + "stat": [Gsub[i]["errors"][0]["symerror"]], + "sys": [Gsub[i]["errors"][1]["symerror"]], + "pol": [POL_UNC * Gsub[i]["value"]], + "lumi_ue": [LUMI_UNC], + } + ), + ], + ignore_index=True, + ) + df["sqrts"] = 200 + + return df + + +def write_1jet_data(df, art_sys): + STORE_PATH = "../../new_commondata/STAR_2009_1JET_200GEV/" + + # Write central data + data_central_yaml = {"data_central": list(df["ALL"])} + with open(STORE_PATH + "data.yaml", "w", encoding="utf-8") as file: + yaml.dump(data_central_yaml, file) + + # Write kin file + kin = [] + for i in range(len(df)): + kin_value = { + "pT": {"min": None, "mid": float(df.loc[i, "pT"]), "max": None}, + "sqrts": {"min": None, "mid": float(df.loc[i, "sqrts"]), "max": None}, + "eta": { + "min": float(df.loc[i, "abs_eta_min"]), + "mid": float(df.loc[i, "abs_eta"]), + "max": float(df.loc[i, "abs_eta_max"]), + }, + } + kin.append(kin_value) + kinematics_yaml = {"bins": kin} + with open(STORE_PATH + "kinematics.yaml", "w", encoding="utf-8") as file: + yaml.dump(kinematics_yaml, file) + + # Write unc file + error = [] + error_definition = { + "lumi_ue": { + "description": "underlying event and relative luminosity uncertainty", + "treatment": "ADD", + "type": f"STAR2009LUMI", + }, + "pol": { + "description": "polarization uncertainty", + "treatment": "MULT", + "type": f"STAR2009POL", + }, + } + # loop on data points + for i, sys_i in enumerate(art_sys): + e = {"lumi_ue": float(df.loc[i, "lumi_ue"]), "pol": float(df.loc[i, "pol"])} + # loop on art sys + for j, val in enumerate(sys_i): + e[f"sys_{j}"] = val + error.append(e) + if i == 0: + error_definition.update( + { + f"sys_{j}": { + "description": f"{j} artificial correlated statistical + systematics uncertainty", + "treatment": "ADD", + "type": f"STAR2009JETunc{j}", + } + for j in range(len(sys_i)) + } + ) + + uncertainties_yaml = {"definitions": error_definition, "bins": error} + with open(STORE_PATH + "uncertainties.yaml", "w", encoding="utf-8") as file: + yaml.dump(uncertainties_yaml, file, sort_keys=False) + + +def write_2jet_data(df, topology, art_sys): + STORE_PATH = f"../../new_commondata/STAR_2009_2JET_{topology}_200GEV/" + # Write central data + data_central_yaml = {"data_central": list(df["ALL"])} + with open(STORE_PATH + "data.yaml", "w", encoding="utf-8") as file: + yaml.dump(data_central_yaml, file) + + # Write kin file + kin = [] + for i in range(len(df)): + try: + kin_value = { + "m_jj": { + "min": float(df.loc[i, "m_low"]), + "mid": float(df.loc[i, "m"]), + "max": float(df.loc[i, "m_high"]), + }, + "sqrts": {"min": None, "mid": float(df.loc[i, "sqrts"]), "max": None}, + } + except: + kin_value = { + "m_jj": {"min": None, "mid": float(df.loc[i, "m"]), "max": None}, + "sqrts": {"min": None, "mid": float(df.loc[i, "sqrts"]), "max": None}, + } + kin.append(kin_value) + kinematics_yaml = {"bins": kin} + with open(STORE_PATH + "kinematics.yaml", "w", encoding="utf-8") as file: + yaml.dump(kinematics_yaml, file) + + # Write unc file + error = [] + error_definition = { + "stat": {"description": "statistical uncertainty", "treatment": "ADD", "type": "UNCORR"}, + "lumi_ue": { + "description": "underlying event and relative luminosity uncertainty", + "treatment": "ADD", + "type": f"STAR2009LUMIUE", + }, + "pol": { + "description": "polarization uncertainty", + "treatment": "MULT", + "type": f"STAR2009POL", + }, + } + # loop on data points + for i, sys_i in enumerate(art_sys): + e = { + "stat": float(df.loc[i, "stat"]), + "lumi_ue": float(df.loc[i, "lumi_ue"]), + "pol": float(df.loc[i, "pol"]), + } + # loop on art sys + for j, val in enumerate(sys_i): + e[f"sys_{j}"] = val + error.append(e) + + if i == 0: + error_definition.update( + { + f"sys_{j}": { + "description": f"{j} artificial correlated systematics uncertainty", + "treatment": "ADD", + "type": f"STAR2009JETunc{j}", + } + for j in range(len(sys_i)) + } + ) + + uncertainties_yaml = {"definitions": error_definition, "bins": error} + with open(STORE_PATH + "uncertainties.yaml", "w", encoding="utf-8") as file: + yaml.dump(uncertainties_yaml, file, sort_keys=False) + + +if __name__ == "__main__": + # load all the data + df, dfc = read_1jet_data() + dfs = {"I": df} + for topo in TOPOPLOGY_LIST[1:]: + dfs[topo] = read_2jet_data(topo) + + # load correlations + ndata_dict = {a: len(b) for a, b in dfs.items()} + correlation_df = pd.read_csv( + "../../new_commondata/STAR_2009_1JET_200GEV/rawdata/correlation.csv", index_col=0 + ) + # from the paper we understand that stat dijet is not correlated + # I-I (stat + sys) | I-D (stat + sys) + # D-I (stat + sys) | D-D (sys) + correlated_unc = np.sqrt(dfs["I"]["sys"] ** 2 + dfs["I"]["stat"] ** 2).values.tolist() + for a in TOPOPLOGY_LIST[1:]: + correlated_unc.extend(dfs[a]["sys"].values) + ndata_points = np.sum((*ndata_dict.values(),)) + # decompose uncertainties + art_sys = np.array(compute_covmat(correlation_df, correlated_unc, ndata_points)) + + # write data + cnt = 0 + for topo, df in dfs.items(): + ndata = ndata_dict[topo] + syst = art_sys[cnt : cnt + ndata, :].tolist() + if topo == "I": + write_1jet_data(df, syst) + else: + write_2jet_data(df, topo, syst) + cnt += ndata diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/filter.py b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/filter.py deleted file mode 100644 index 98c4fc95ff..0000000000 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/filter.py +++ /dev/null @@ -1,136 +0,0 @@ -import glob - -import pandas as pd -import yaml -import sys - -sys.path.append('../../') -from filter_utils.correlations import compute_covmat - - -def read_data(fnames): - df3 = pd.DataFrame() - df4 = pd.DataFrame() - for fname in fnames: - if "3" in fname: - dfi = pd.read_csv(fname) - if "pT" in fname: - correlation = False - df3["pT"] = dfi["Parton Jet $p_T$ [GeV/c]"] - - elif "ALL" in fname: - df3["ALL"] = dfi["$A_{LL}$"] - df3["stat_min"] = dfi["stat +"] - df3["stat_max"] = dfi["stat -"] - df3["sys_min"] = dfi["sys +"] - df3["sys_max"] = dfi["sys -"] - - df3["abs_eta_min"] = 0.0 - df3["abs_eta_max"] = 0.5 - df3["sqrts"] = 200 - - elif "4" in fname: - dfi = pd.read_csv(fname) - if "pT" in fname: - correlation = False - df4["pT"] = dfi["Parton Jet $p_T$ [GeV/c]"] - - if "ALL" in fname: - df4["ALL"] = dfi["$A_{LL}$"] - df4["stat_min"] = dfi["stat +"] - df4["stat_max"] = dfi["stat -"] - df4["sys_min"] = dfi["sys +"] - df4["sys_max"] = dfi["sys -"] - - df4["abs_eta_min"] = 0.5 - df4["abs_eta_max"] = 1.0 - df4["sqrts"] = 200 - - elif "5" in fname: - correlation = True - dfc_col = pd.read_csv(fname) - - dfc = pd.DataFrame() - biny = 1 - for i in range(len(dfc_col)): - if dfc_col.loc[i, "binx"] == "-": - biny = float(dfc_col.loc[i, "val"]) - else: - binx = float(dfc_col.loc[i, "binx"]) - dfc.loc[binx, biny] = dfc_col.loc[i, "val"] - - dfc = dfc.astype("float") - - else: - print("ERROR: Unknown table number detected! Check input files.") - - df = pd.concat([df3, df4], ignore_index=True) - - for i in range(len(df)): - df.loc[i, "stat"] = df.loc[i, "stat_max"] - df.loc[i, "sys"] = df.loc[i, "sys_max"] - return df, dfc - - -def write_data(df, dfc): - data_central = [] - for i in range(len(df["ALL"])): - data_central.append(float(df.loc[i, "ALL"])) - - data_central_yaml = {"data_central": data_central} - with open("data.yaml", "w") as file: - yaml.dump(data_central_yaml, file, sort_keys=False) - - # Compute the covariance matrix - corrmat = dfc.values.reshape((len(df), len(df))) - art_sys = compute_covmat(corrmat, df["stat"], len(df)) - - # Write kin file - kin = [] - for i in range(len(df["ALL"])): - kin_value = { - "pT": {"min": None, "mid": float(df.loc[i, "pT"]), "max": None}, - "sqrts": {"min": None, "mid": float(df.loc[i, "sqrts"]), "max": None}, - "abs_eta": { - "min": float(df.loc[i, "abs_eta_min"]), - "mid": None, - "max": float(df.loc[i, "abs_eta_max"]), - }, - } - kin.append(kin_value) - - kinematics_yaml = {"bins": kin} - - with open("kinematics.yaml", "w") as file: - yaml.dump(kinematics_yaml, file, sort_keys=False) - - # Write unc file - error = [] - for i in range(len(df)): - e = {} - for j in range(len(df)): - e[f"sys_{j}"] = art_sys[i][j] - error.append(e) - - error_definition = { - f"sys_{i}": { - "description": f"{i} artificial correlated statistical uncertainty", - "treatment": "ADD", - "type": "CORR", - } - for i in range(len(df)) - } - - uncertainties_yaml = {"definitions": error_definition, "bins": error} - - with open("uncertainties.yaml", "w") as file: - yaml.dump(uncertainties_yaml, file, sort_keys=False) - - -if __name__ == "__main__": - # TODO: Need to generate `observable` cards and corresponding - # pineappl grids and FK tables as the orders have changed!!!! - fnames = glob.glob("rawdata/*.csv") - nnames = sorted([i for i in fnames]) - df, dfc = read_data(nnames) - write_data(df, dfc) diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/kinematics.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/kinematics.yaml index 6cf872824d..547551a6b9 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/kinematics.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/kinematics.yaml @@ -1,265 +1,265 @@ bins: -- pT: - min: null - mid: 5.5 +- eta: + max: 0.5 + mid: 0.25 + min: 0.0 + pT: max: null - sqrts: + mid: 5.5 min: null - mid: 200.0 + sqrts: max: null - abs_eta: - min: 0.0 - mid: null - max: 0.5 -- pT: + mid: 200.0 min: null - mid: 6.49 +- eta: + max: 0.5 + mid: 0.25 + min: 0.0 + pT: max: null - sqrts: + mid: 6.49 min: null - mid: 200.0 + sqrts: max: null - abs_eta: - min: 0.0 - mid: null - max: 0.5 -- pT: + mid: 200.0 min: null - mid: 8.25 +- eta: + max: 0.5 + mid: 0.25 + min: 0.0 + pT: max: null - sqrts: + mid: 8.25 min: null - mid: 200.0 + sqrts: max: null - abs_eta: - min: 0.0 - mid: null - max: 0.5 -- pT: + mid: 200.0 min: null - mid: 10.08 +- eta: + max: 0.5 + mid: 0.25 + min: 0.0 + pT: max: null - sqrts: + mid: 10.08 min: null - mid: 200.0 + sqrts: max: null - abs_eta: - min: 0.0 - mid: null - max: 0.5 -- pT: + mid: 200.0 min: null - mid: 12.26 +- eta: + max: 0.5 + mid: 0.25 + min: 0.0 + pT: max: null - sqrts: + mid: 12.26 min: null - mid: 200.0 + sqrts: max: null - abs_eta: - min: 0.0 - mid: null - max: 0.5 -- pT: + mid: 200.0 min: null - mid: 14.78 +- eta: + max: 0.5 + mid: 0.25 + min: 0.0 + pT: max: null - sqrts: + mid: 14.78 min: null - mid: 200.0 + sqrts: max: null - abs_eta: - min: 0.0 - mid: null - max: 0.5 -- pT: + mid: 200.0 min: null - mid: 17.23 +- eta: + max: 0.5 + mid: 0.25 + min: 0.0 + pT: max: null - sqrts: + mid: 17.23 min: null - mid: 200.0 + sqrts: max: null - abs_eta: - min: 0.0 - mid: null - max: 0.5 -- pT: + mid: 200.0 min: null - mid: 20.56 +- eta: + max: 0.5 + mid: 0.25 + min: 0.0 + pT: max: null - sqrts: + mid: 20.56 min: null - mid: 200.0 + sqrts: max: null - abs_eta: - min: 0.0 - mid: null - max: 0.5 -- pT: + mid: 200.0 min: null - mid: 23.61 +- eta: + max: 0.5 + mid: 0.25 + min: 0.0 + pT: max: null - sqrts: + mid: 23.61 min: null - mid: 200.0 + sqrts: max: null - abs_eta: - min: 0.0 - mid: null - max: 0.5 -- pT: + mid: 200.0 min: null - mid: 27.78 +- eta: + max: 0.5 + mid: 0.25 + min: 0.0 + pT: max: null - sqrts: + mid: 27.78 min: null - mid: 200.0 + sqrts: max: null - abs_eta: - min: 0.0 - mid: null - max: 0.5 -- pT: + mid: 200.0 min: null - mid: 32.46 +- eta: + max: 0.5 + mid: 0.25 + min: 0.0 + pT: max: null - sqrts: + mid: 32.46 min: null - mid: 200.0 + sqrts: max: null - abs_eta: - min: 0.0 - mid: null - max: 0.5 -- pT: + mid: 200.0 min: null - mid: 5.61 +- eta: + max: 1.0 + mid: .nan + min: 0.5 + pT: max: null - sqrts: + mid: 5.61 min: null - mid: 200.0 + sqrts: max: null - abs_eta: - min: 0.5 - mid: null - max: 1.0 -- pT: + mid: 200.0 min: null - mid: 6.62 +- eta: + max: 1.0 + mid: .nan + min: 0.5 + pT: max: null - sqrts: + mid: 6.62 min: null - mid: 200.0 + sqrts: max: null - abs_eta: - min: 0.5 - mid: null - max: 1.0 -- pT: + mid: 200.0 min: null - mid: 8.48 +- eta: + max: 1.0 + mid: .nan + min: 0.5 + pT: max: null - sqrts: + mid: 8.48 min: null - mid: 200.0 + sqrts: max: null - abs_eta: - min: 0.5 - mid: null - max: 1.0 -- pT: + mid: 200.0 min: null - mid: 10.17 +- eta: + max: 1.0 + mid: .nan + min: 0.5 + pT: max: null - sqrts: + mid: 10.17 min: null - mid: 200.0 + sqrts: max: null - abs_eta: - min: 0.5 - mid: null - max: 1.0 -- pT: + mid: 200.0 min: null - mid: 12.2 +- eta: + max: 1.0 + mid: .nan + min: 0.5 + pT: max: null - sqrts: + mid: 12.2 min: null - mid: 200.0 + sqrts: max: null - abs_eta: - min: 0.5 - mid: null - max: 1.0 -- pT: + mid: 200.0 min: null - mid: 14.57 +- eta: + max: 1.0 + mid: .nan + min: 0.5 + pT: max: null - sqrts: + mid: 14.57 min: null - mid: 200.0 + sqrts: max: null - abs_eta: - min: 0.5 - mid: null - max: 1.0 -- pT: + mid: 200.0 min: null - mid: 16.99 +- eta: + max: 1.0 + mid: .nan + min: 0.5 + pT: max: null - sqrts: + mid: 16.99 min: null - mid: 200.0 + sqrts: max: null - abs_eta: - min: 0.5 - mid: null - max: 1.0 -- pT: + mid: 200.0 min: null - mid: 20.16 +- eta: + max: 1.0 + mid: .nan + min: 0.5 + pT: max: null - sqrts: + mid: 20.16 min: null - mid: 200.0 + sqrts: max: null - abs_eta: - min: 0.5 - mid: null - max: 1.0 -- pT: + mid: 200.0 min: null - mid: 23.35 +- eta: + max: 1.0 + mid: .nan + min: 0.5 + pT: max: null - sqrts: + mid: 23.35 min: null - mid: 200.0 + sqrts: max: null - abs_eta: - min: 0.5 - mid: null - max: 1.0 -- pT: + mid: 200.0 min: null - mid: 27.13 +- eta: + max: 1.0 + mid: .nan + min: 0.5 + pT: max: null - sqrts: + mid: 27.13 min: null - mid: 200.0 + sqrts: max: null - abs_eta: - min: 0.5 - mid: null - max: 1.0 -- pT: + mid: 200.0 min: null - mid: 31.08 +- eta: + max: 1.0 + mid: .nan + min: 0.5 + pT: max: null - sqrts: + mid: 31.08 min: null - mid: 200.0 + sqrts: max: null - abs_eta: - min: 0.5 - mid: null - max: 1.0 + mid: 200.0 + min: null diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/rawdata/correlation.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/rawdata/correlation.csv new file mode 100644 index 0000000000..79a3996ebd --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/rawdata/correlation.csv @@ -0,0 +1,56 @@ +,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55 +1,1.0,0.013,0.008,0.007,0.008,0.008,0.006,0.005,0.003,0.002,0.002,0.043,0.011,0.011,0.005,0.005,0.003,0.005,0.002,0.001,0.002,0.001,0.014,0.003,0.0,0.0,0.0,0.0,0.0,0.019,0.004,0.001,0.0,0.0,0.0,0.0,0.005,0.005,0.001,0.0,0.0,0.0,0.0,0.004,0.002,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0,0.0 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b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/uncertainties.yaml index 74bd2bd5f8..1b7e453a80 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/uncertainties.yaml @@ -1,574 +1,1484 @@ definitions: + lumi_ue: + description: underlying event and relative luminosity uncertainty + treatment: ADD + type: STAR2009LUMI + pol: + description: polarization uncertainty + treatment: MULT + type: STAR2009POL sys_0: - description: 0 artificial correlated statistical uncertainty + description: 0 artificial correlated statistical + systematics uncertainty treatment: ADD - type: CORR + type: STAR2009JETunc0 sys_1: - description: 1 artificial correlated statistical uncertainty + description: 1 artificial correlated statistical + systematics uncertainty treatment: ADD - type: CORR + type: STAR2009JETunc1 sys_2: - description: 2 artificial correlated statistical uncertainty + description: 2 artificial correlated statistical + systematics uncertainty treatment: ADD - type: CORR + type: STAR2009JETunc2 sys_3: - description: 3 artificial correlated statistical uncertainty + description: 3 artificial correlated statistical + systematics uncertainty treatment: ADD - type: CORR + type: STAR2009JETunc3 sys_4: - description: 4 artificial correlated statistical uncertainty + description: 4 artificial correlated statistical + systematics uncertainty treatment: ADD - type: CORR + type: STAR2009JETunc4 sys_5: - description: 5 artificial correlated statistical uncertainty + description: 5 artificial correlated statistical + systematics uncertainty treatment: ADD - type: CORR + type: STAR2009JETunc5 sys_6: - description: 6 artificial correlated statistical uncertainty + description: 6 artificial correlated statistical + systematics uncertainty treatment: ADD - type: CORR + type: STAR2009JETunc6 sys_7: - description: 7 artificial correlated statistical uncertainty + description: 7 artificial correlated statistical + systematics uncertainty treatment: ADD - type: CORR + type: STAR2009JETunc7 sys_8: - description: 8 artificial correlated statistical uncertainty + description: 8 artificial correlated statistical + systematics uncertainty treatment: ADD - type: CORR + type: STAR2009JETunc8 sys_9: - description: 9 artificial correlated statistical uncertainty + description: 9 artificial correlated statistical + systematics uncertainty treatment: ADD - type: CORR + type: STAR2009JETunc9 sys_10: - description: 10 artificial correlated statistical uncertainty + description: 10 artificial correlated statistical + systematics uncertainty treatment: ADD - type: CORR + type: STAR2009JETunc10 sys_11: - description: 11 artificial correlated statistical uncertainty + description: 11 artificial correlated statistical + systematics uncertainty treatment: ADD - type: CORR + type: STAR2009JETunc11 sys_12: - description: 12 artificial correlated statistical uncertainty + description: 12 artificial correlated statistical + systematics uncertainty treatment: ADD - type: CORR + type: STAR2009JETunc12 sys_13: - description: 13 artificial correlated statistical uncertainty + description: 13 artificial correlated statistical + systematics uncertainty treatment: ADD - type: CORR + type: STAR2009JETunc13 sys_14: - description: 14 artificial correlated statistical uncertainty + description: 14 artificial correlated statistical + systematics uncertainty treatment: ADD - type: CORR + type: STAR2009JETunc14 sys_15: - description: 15 artificial correlated statistical uncertainty + description: 15 artificial correlated statistical + systematics uncertainty treatment: ADD - type: CORR + type: STAR2009JETunc15 sys_16: - description: 16 artificial correlated statistical uncertainty + description: 16 artificial correlated statistical + systematics uncertainty treatment: ADD - type: CORR + type: STAR2009JETunc16 sys_17: - description: 17 artificial correlated statistical uncertainty + description: 17 artificial correlated statistical + systematics uncertainty treatment: ADD - type: CORR + type: STAR2009JETunc17 sys_18: - description: 18 artificial correlated statistical uncertainty + description: 18 artificial correlated statistical + systematics uncertainty treatment: ADD - type: CORR + type: STAR2009JETunc18 sys_19: - description: 19 artificial correlated statistical uncertainty + description: 19 artificial correlated statistical + systematics uncertainty treatment: ADD - type: CORR + type: STAR2009JETunc19 sys_20: - description: 20 artificial correlated statistical uncertainty + description: 20 artificial correlated statistical + systematics uncertainty treatment: ADD - type: CORR + type: STAR2009JETunc20 sys_21: - description: 21 artificial correlated statistical uncertainty + description: 21 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc21 + sys_22: + description: 22 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc22 + sys_23: + description: 23 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc23 + sys_24: + description: 24 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc24 + sys_25: + description: 25 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc25 + sys_26: + description: 26 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc26 + sys_27: + description: 27 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc27 + sys_28: + description: 28 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc28 + sys_29: + description: 29 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc29 + sys_30: + description: 30 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc30 + sys_31: + description: 31 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc31 + sys_32: + description: 32 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc32 + sys_33: + description: 33 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc33 + sys_34: + description: 34 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc34 + sys_35: + description: 35 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc35 + sys_36: + description: 36 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc36 + sys_37: + description: 37 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc37 + sys_38: + description: 38 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc38 + sys_39: + description: 39 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc39 + sys_40: + description: 40 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc40 + sys_41: + description: 41 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc41 + sys_42: + description: 42 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc42 + sys_43: + description: 43 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc43 + sys_44: + description: 44 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc44 + sys_45: + description: 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1.6292256152871623e-08 + sys_31: -1.2390334942278296e-08 + sys_32: -1.4885948676438113e-08 + sys_33: 2.2528106917481325e-08 + sys_34: -2.7030581613058837e-08 + sys_35: 2.3742513511423296e-07 + sys_36: -2.1597010198170506e-07 + sys_37: 1.1931390121573002e-07 + sys_38: 4.4533807346141286e-08 + sys_39: 6.407695867467303e-07 + sys_40: -2.0139996183325178e-07 + sys_41: 2.100533102184625e-07 + sys_42: -3.171882294283553e-07 + sys_43: 9.105097274462783e-08 + sys_44: -1.824010064563299e-08 + sys_45: 1.1094546401956935e-07 + sys_46: 2.832006453676485e-08 + sys_47: 6.794129331636266e-07 + sys_48: 9.293649613076237e-08 + sys_49: -6.192954821576939e-08 + sys_50: 5.974620545393152e-07 + sys_51: 1.7108877834351418e-06 + sys_52: -1.6791417730060202e-06 + sys_53: -1.3564390794808346e-06 + sys_54: -2.141353274086469e-06 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/filter.py b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/filter.py deleted file mode 100644 index 101ba76767..0000000000 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/filter.py +++ /dev/null @@ -1,85 +0,0 @@ -import glob - -import pandas as pd -import yaml - - -def read_data(fnames): - df = pd.DataFrame() - for fname in fnames: - with open(fname, "r") as file: - data = yaml.safe_load(file) - - Msub = data["independent_variables"][0]["values"] - Gsub = data["dependent_variables"][0]["values"] - - for i in range(len(Msub)): - - df = pd.concat( - [ - df, - pd.DataFrame( - { - "m_low": [Msub[i]["low"]], - "m_high": [Msub[i]["high"]], - "G": [Gsub[i]["value"]], - "stat": [Gsub[i]["errors"][0]["symerror"]], - "sys": [Gsub[i]["errors"][1]["symerror"]], - } - ), - ], - ignore_index=True, - ) - - return df - - -def write_data(df): - data_central = [] - for i in range(len(df["G"])): - data_central.append(float(df.loc[i, "G"])) - - data_central_yaml = {"data_central": data_central} - with open("data.yaml", "w") as file: - yaml.dump(data_central_yaml, file, sort_keys=False) - - # Write kin file - kin = [] - for i in range(len(df["G"])): - kin_value = { - "m_jj": { - "min": float(df.loc[i, "m_low"]), - "mid": None, - "max": float(df.loc[i, "m_high"]), - }, - "sqrts": {"min": None, "mid": 200, "max": None}, - } - kin.append(kin_value) - - kinematics_yaml = {"bins": kin} - - with open("kinematics.yaml", "w") as file: - yaml.dump(kinematics_yaml, file, sort_keys=False) - - # Write unc file - error = [] - for idx, i in enumerate(range(len(df))): - e = {"stat": float(df.loc[i, "stat"]), "sys": float(df.loc[i, "sys"])} - error.append(e) - - error_definition = { - "stat": {"description": "statistical uncertainty", "treatment": "ADD", "type": "UNCORR"}, - "sys": {"description": "systematic uncertainty", "treatment": "ADD", "type": "UNCORR"}, - } - - uncertainties_yaml = {"definitions": error_definition, "bins": error} - - with open("uncertainties.yaml", "w") as file: - yaml.dump(uncertainties_yaml, file, sort_keys=False) - - -if __name__ == "__main__": - fnames = glob.glob("rawdata/*.yaml") - nnames = sorted([i for i in fnames]) - df = read_data(nnames) - write_data(df) diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/kinematics.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/kinematics.yaml index 5d726a28bc..23089be979 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/kinematics.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/kinematics.yaml @@ -1,41 +1,41 @@ bins: - m_jj: - min: 17.62 - mid: null max: 19.38 + mid: 18.5 + min: 17.62 sqrts: - min: null - mid: 200 max: null + mid: 200.0 + min: null - m_jj: - min: 20.5 - mid: null max: 22.9 + mid: 21.7 + min: 20.5 sqrts: - min: null - mid: 200 max: null + mid: 200.0 + min: null - m_jj: - min: 25.03 - mid: null max: 27.59 + mid: 26.310000000000002 + min: 25.03 sqrts: - min: null - mid: 200 max: null + mid: 200.0 + min: null - m_jj: - min: 30.0 - mid: null max: 33.48 + mid: 31.74 + min: 30.0 sqrts: - min: null - mid: 200 max: null + mid: 200.0 + min: null - m_jj: - min: 37.37 - mid: null max: 40.39 + mid: 38.879999999999995 + min: 37.37 sqrts: - min: null - mid: 200 max: null + mid: 200.0 + min: null diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/metadata.yaml index 75ab1997b3..469110bc80 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/metadata.yaml @@ -5,9 +5,9 @@ nnpdf_metadata: nnpdf31_process: "DIJET" iNSPIRE: - url: "https://inspirehep.net/literature/1949588" + url: "https://inspirehep.net/literature/1674714" hepdata: - url: "https://www.hepdata.net/record/ins1949588" + url: "https://www.hepdata.net/record/ins1674714" version: 1 version: 1 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/rawdata/Figure9_Bottom.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/rawdata/Table.yaml similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/rawdata/Figure9_Bottom.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/rawdata/Table.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/uncertainties.yaml index 60987a1e31..d614af1a44 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/uncertainties.yaml @@ -3,18 +3,522 @@ definitions: description: statistical uncertainty treatment: ADD type: UNCORR - sys: - description: systematic uncertainty + lumi_ue: + description: underlying event and relative luminosity uncertainty treatment: ADD - type: UNCORR + type: STAR2009LUMIUE + pol: + description: polarization uncertainty + treatment: MULT + type: STAR2009POL + sys_0: + description: 0 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc0 + sys_1: + description: 1 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc1 + sys_2: + description: 2 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc2 + sys_3: + description: 3 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc3 + sys_4: + description: 4 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc4 + sys_5: + description: 5 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc5 + sys_6: + description: 6 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc6 + sys_7: + description: 7 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc7 + sys_8: + description: 8 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc8 + sys_9: + description: 9 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc9 + sys_10: + description: 10 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc10 + sys_11: + description: 11 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc11 + sys_12: + description: 12 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc12 + sys_13: + description: 13 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc13 + sys_14: + description: 14 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc14 + sys_15: + description: 15 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc15 + sys_16: + description: 16 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc16 + sys_17: + description: 17 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc17 + sys_18: + description: 18 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc18 + sys_19: + description: 19 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc19 + sys_20: + description: 20 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc20 + sys_21: + description: 21 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc21 + sys_22: + description: 22 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc22 + sys_23: + description: 23 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc23 + sys_24: + description: 24 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc24 + sys_25: + description: 25 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc25 + sys_26: + description: 26 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc26 + sys_27: + description: 27 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc27 + sys_28: + description: 28 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc28 + sys_29: + description: 29 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc29 + sys_30: + description: 30 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc30 + sys_31: + description: 31 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc31 + sys_32: + description: 32 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc32 + sys_33: + description: 33 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc33 + sys_34: + description: 34 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc34 + sys_35: + description: 35 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc35 + sys_36: + description: 36 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc36 + sys_37: + description: 37 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc37 + sys_38: + description: 38 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc38 + sys_39: + description: 39 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc39 + sys_40: + description: 40 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc40 + sys_41: + description: 41 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc41 + sys_42: + description: 42 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc42 + sys_43: + description: 43 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc43 + sys_44: + description: 44 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc44 + sys_45: + description: 45 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc45 + sys_46: + description: 46 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc46 + sys_47: + description: 47 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc47 + sys_48: + description: 48 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc48 + sys_49: + description: 49 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc49 + sys_50: + description: 50 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc50 + sys_51: + description: 51 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc51 + sys_52: + description: 52 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc52 + sys_53: + description: 53 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc53 + sys_54: + description: 54 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc54 bins: - stat: 0.007 - sys: 0.002 + lumi_ue: 0.0005 + pol: 0.0001235 + sys_0: -2.9341441875924853e-09 + sys_1: 5.662769814057847e-09 + sys_2: 3.947516339994088e-08 + sys_3: 3.474259906408537e-08 + sys_4: -4.1987083112144685e-07 + sys_5: 4.6980584967303393e-07 + sys_6: 1.6895587313557183e-05 + sys_7: 2.2729048660249382e-05 + sys_8: 6.306184493591873e-06 + sys_9: 1.2710948031307327e-05 + sys_10: -2.5789963843588195e-06 + sys_11: -2.1708424299713873e-05 + sys_12: 5.276451607974827e-06 + sys_13: 1.9633555980514045e-05 + sys_14: 8.248512495989165e-06 + sys_15: -6.108320795175292e-07 + 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1.8296228631547162e-05 + sys_47: -1.0545480744846846e-05 + sys_48: 6.924840530443168e-06 + sys_49: -6.415829585144976e-06 + sys_50: -3.390306554994056e-05 + sys_51: 2.6078959892613234e-05 + sys_52: -1.0756716695095525e-05 + sys_53: -1.338375509238332e-05 + sys_54: -1.8477958927331985e-06 - stat: 0.007 - sys: 0.0024 + lumi_ue: 0.0005 + pol: -0.0004485 + sys_0: -5.89864323557035e-09 + sys_1: 1.1973393934428427e-08 + sys_2: 7.77965450612318e-08 + sys_3: 7.416871876269945e-08 + sys_4: -7.985574948962801e-07 + sys_5: 9.350155690481822e-07 + sys_6: 3.1855141517541805e-05 + sys_7: 4.391081130552541e-05 + sys_8: 9.864730425254366e-06 + sys_9: 2.7112519417976648e-05 + sys_10: -4.2249542471596606e-06 + sys_11: -4.474742097944607e-05 + sys_12: 6.987177471243068e-06 + sys_13: 4.2628704935199975e-05 + sys_14: 1.9538926909859026e-05 + sys_15: -1.7506689751714958e-06 + sys_16: 3.850469490876804e-06 + sys_17: 2.5134194494492035e-05 + sys_18: -0.00011999000608407455 + sys_19: -0.00013174627021246313 + 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-4.0495428931684195e-05 + sys_51: 2.971385717258841e-05 + sys_52: -1.0565804858797907e-05 + sys_53: -1.9343984302625813e-05 + sys_54: 3.5154212080782464e-07 - stat: 0.01 - sys: 0.0016 + lumi_ue: 0.0005 + pol: 0.001378 + sys_0: -6.415581388921306e-09 + sys_1: 1.409642897031362e-08 + sys_2: 7.746596134549398e-08 + sys_3: 9.33034487652313e-08 + sys_4: -7.235587446500231e-07 + sys_5: 1.0158306104352489e-06 + sys_6: 2.7904732797661167e-05 + sys_7: 3.254099647236957e-05 + sys_8: 6.52357787045941e-06 + sys_9: 1.961341752112639e-05 + sys_10: -2.8030025648975518e-06 + sys_11: -3.52139197246018e-05 + sys_12: -4.298086439902791e-06 + sys_13: 2.3033625298799316e-05 + sys_14: 1.650708022641387e-05 + sys_15: -2.571619408737067e-06 + sys_16: 3.5264127033578895e-06 + sys_17: 3.517019381160326e-05 + sys_18: -5.867542307177835e-05 + sys_19: 2.5032695836614977e-06 + sys_20: -9.16903500741288e-05 + sys_21: -9.062621376864844e-06 + sys_22: -1.1055176164584399e-06 + sys_23: -0.00017459427443785696 + sys_24: 6.197017917920655e-05 + sys_25: 2.352324617959438e-05 + sys_26: -0.00015740595874289703 + sys_27: 1.722699953472693e-06 + sys_28: 1.9964560911026174e-07 + sys_29: -3.863878699104774e-06 + sys_30: 3.910199249854049e-06 + sys_31: -2.3827251325497906e-06 + sys_32: -2.993310426790834e-06 + sys_33: -2.846855830380958e-06 + sys_34: 4.925307867909738e-06 + sys_35: -2.4601182028748656e-05 + sys_36: 2.448783262938782e-05 + sys_37: 2.94318483087237e-06 + sys_38: 1.0902669841416097e-05 + sys_39: 2.815442611641162e-05 + sys_40: 8.716604704809673e-06 + sys_41: 1.3011292809824433e-05 + sys_42: 0.0003835782150805355 + sys_43: -0.00017835749219236195 + sys_44: 0.00020537172042123266 + sys_45: 0.0005415425685795098 + sys_46: 0.0002153769320066205 + sys_47: -0.0007452497927747477 + sys_48: -0.0011326673440649542 + sys_49: 4.533599212664479e-05 + sys_50: -0.00012381849347931312 + sys_51: 0.00013057940388986467 + sys_52: -0.00010720017447701937 + sys_53: -0.00018765877295429063 + sys_54: -1.0501767095327602e-05 - stat: 0.019 - sys: 0.005 + lumi_ue: 0.0005 + pol: 0.0027949999999999997 + sys_0: -5.059630706571177e-08 + sys_1: 1.2790135144982453e-07 + sys_2: 6.01176495734771e-07 + sys_3: 1.1081866608276079e-06 + sys_4: -1.6936993939290043e-05 + sys_5: 7.80302589581492e-06 + sys_6: 0.0002875227664291038 + sys_7: 0.0003289006382011793 + sys_8: 7.074208692754919e-05 + sys_9: 0.0002985247010156405 + sys_10: 9.54622526202337e-07 + sys_11: -0.0049233818617512365 + sys_12: 0.0005955984622793759 + sys_13: -0.00015452172899206533 + sys_14: -0.0002324260055604672 + sys_15: 4.9969335282250655e-05 + sys_16: -1.0895282127002112e-05 + sys_17: -0.00013152223926116887 + sys_18: 0.00011244560993024392 + sys_19: -2.4194619826444506e-05 + sys_20: 6.925038405067329e-05 + sys_21: 4.4443553613451764e-06 + sys_22: 1.460045885992515e-06 + sys_23: 5.267048676923238e-05 + sys_24: -1.2679357566322691e-05 + sys_25: -5.3788376124349545e-06 + sys_26: 2.2556501340293656e-05 + sys_27: 3.6391062112839596e-07 + sys_28: -2.5518540000916356e-07 + sys_29: -1.1807290582931746e-06 + sys_30: 1.9104032943127303e-06 + sys_31: -9.768451641637831e-10 + sys_32: -1.7744018042422284e-06 + sys_33: -1.4659319693688153e-06 + sys_34: 1.8924887984890418e-06 + sys_35: 1.3391480273704412e-05 + sys_36: 3.5375941347592616e-06 + sys_37: 4.211536652405987e-07 + sys_38: 3.4584511451192077e-06 + sys_39: 5.961789956334218e-06 + sys_40: 4.1882620075485344e-06 + sys_41: -3.3173111346442998e-06 + sys_42: -1.029183717903699e-05 + sys_43: 3.4054910474689777e-06 + sys_44: -5.7433544986648665e-06 + sys_45: -6.787062035416489e-06 + sys_46: -5.094436087922082e-06 + sys_47: 7.65867780682076e-06 + sys_48: -6.076332406783621e-06 + sys_49: 8.972547788173023e-07 + sys_50: 6.963291129900146e-07 + sys_51: 5.493945053969731e-06 + sys_52: -9.133716289879922e-06 + sys_53: -1.4473789093860536e-05 + sys_54: -1.744460748470315e-07 - stat: 0.05 - sys: 0.007 + lumi_ue: 0.0005 + pol: 0.00507 + sys_0: -2.4232685952842607e-07 + sys_1: 1.0157362580817375e-06 + sys_2: 1.7156500786764186e-05 + sys_3: 2.8992291251996853e-06 + sys_4: -7.396643323921346e-05 + sys_5: 7.214508938238357e-05 + sys_6: 0.00220477412510644 + sys_7: 0.005723296417354439 + sys_8: -0.0033230839708849975 + sys_9: -0.0003358795297340469 + sys_10: -0.00025007752191702004 + sys_11: 0.0002656367243530907 + sys_12: 0.00019145662440158158 + sys_13: 2.313651272926471e-05 + sys_14: -0.00017125549159043477 + sys_15: 4.845795465222483e-05 + sys_16: -3.3458707368659046e-06 + sys_17: -9.19075958650047e-05 + sys_18: 5.621270359864918e-05 + sys_19: -3.275010645190823e-05 + sys_20: 3.0166182171973963e-05 + sys_21: 2.943580737639226e-06 + sys_22: 2.9854707249000015e-07 + sys_23: 1.1647225335360799e-05 + sys_24: -6.685719184157822e-06 + sys_25: 5.358562353315896e-06 + sys_26: 3.92115742548422e-06 + sys_27: 8.72458875180983e-08 + sys_28: -2.6674204584258594e-07 + sys_29: -5.700004510090731e-07 + sys_30: 1.2879840036544182e-06 + sys_31: 4.0550106966900514e-07 + sys_32: -1.2816768788905185e-06 + sys_33: -1.0198491730245402e-06 + sys_34: 3.2695810626716083e-06 + sys_35: 9.862021203173689e-06 + sys_36: 2.6655886576878888e-06 + sys_37: -1.6941769689844783e-06 + sys_38: 2.2921825836749792e-06 + sys_39: 2.2965850608352704e-06 + sys_40: 3.6296347721058574e-06 + sys_41: -3.589447521323151e-06 + sys_42: -2.208717546309076e-06 + sys_43: 1.9985784149339748e-07 + sys_44: -2.3081597583270086e-06 + sys_45: 1.3791555540965545e-06 + sys_46: -1.855760764584328e-06 + sys_47: 9.165712466557843e-06 + sys_48: -7.047354539374752e-07 + sys_49: 6.106047716564541e-08 + sys_50: 1.1156476773463763e-06 + sys_51: 7.256657009371757e-07 + sys_52: -5.826790798946408e-06 + sys_53: -8.302888789428519e-06 + sys_54: -1.9752758430189458e-07 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/filter.py b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/filter.py deleted file mode 100644 index 101ba76767..0000000000 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/filter.py +++ /dev/null @@ -1,85 +0,0 @@ -import glob - -import pandas as pd -import yaml - - -def read_data(fnames): - df = pd.DataFrame() - for fname in fnames: - with open(fname, "r") as file: - data = yaml.safe_load(file) - - Msub = data["independent_variables"][0]["values"] - Gsub = data["dependent_variables"][0]["values"] - - for i in range(len(Msub)): - - df = pd.concat( - [ - df, - pd.DataFrame( - { - "m_low": [Msub[i]["low"]], - "m_high": [Msub[i]["high"]], - "G": [Gsub[i]["value"]], - "stat": [Gsub[i]["errors"][0]["symerror"]], - "sys": [Gsub[i]["errors"][1]["symerror"]], - } - ), - ], - ignore_index=True, - ) - - return df - - -def write_data(df): - data_central = [] - for i in range(len(df["G"])): - data_central.append(float(df.loc[i, "G"])) - - data_central_yaml = {"data_central": data_central} - with open("data.yaml", "w") as file: - yaml.dump(data_central_yaml, file, sort_keys=False) - - # Write kin file - kin = [] - for i in range(len(df["G"])): - kin_value = { - "m_jj": { - "min": float(df.loc[i, "m_low"]), - "mid": None, - "max": float(df.loc[i, "m_high"]), - }, - "sqrts": {"min": None, "mid": 200, "max": None}, - } - kin.append(kin_value) - - kinematics_yaml = {"bins": kin} - - with open("kinematics.yaml", "w") as file: - yaml.dump(kinematics_yaml, file, sort_keys=False) - - # Write unc file - error = [] - for idx, i in enumerate(range(len(df))): - e = {"stat": float(df.loc[i, "stat"]), "sys": float(df.loc[i, "sys"])} - error.append(e) - - error_definition = { - "stat": {"description": "statistical uncertainty", "treatment": "ADD", "type": "UNCORR"}, - "sys": {"description": "systematic uncertainty", "treatment": "ADD", "type": "UNCORR"}, - } - - uncertainties_yaml = {"definitions": error_definition, "bins": error} - - with open("uncertainties.yaml", "w") as file: - yaml.dump(uncertainties_yaml, file, sort_keys=False) - - -if __name__ == "__main__": - fnames = glob.glob("rawdata/*.yaml") - nnames = sorted([i for i in fnames]) - df = read_data(nnames) - write_data(df) diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/kinematics.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/kinematics.yaml index 17497d6cc1..a895b8bdcd 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/kinematics.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/kinematics.yaml @@ -1,57 +1,57 @@ bins: - m_jj: - min: 17.06 - mid: null max: 19.82 + mid: 18.439999999999998 + min: 17.06 sqrts: - min: null - mid: 200 max: null + mid: 200.0 + min: null - m_jj: - min: 21.12 - mid: null max: 23.1 + mid: 22.11 + min: 21.12 sqrts: - min: null - mid: 200 max: null + mid: 200.0 + min: null - m_jj: - min: 25.41 - mid: null max: 27.73 + mid: 26.57 + min: 25.41 sqrts: - min: null - mid: 200 max: null + mid: 200.0 + min: null - m_jj: - min: 30.66 - mid: null max: 33.76 + mid: 32.21 + min: 30.66 sqrts: - min: null - mid: 200 max: null + mid: 200.0 + min: null - m_jj: - min: 36.95 - mid: null max: 39.75 + mid: 38.35 + min: 36.95 sqrts: - min: null - mid: 200 max: null + mid: 200.0 + min: null - m_jj: - min: 46.36 - mid: null max: 49.66 + mid: 48.01 + min: 46.36 sqrts: - min: null - mid: 200 max: null + mid: 200.0 + min: null - m_jj: - min: 63.58 - mid: null max: 67.88 + mid: 65.72999999999999 + min: 63.58 sqrts: - min: null - mid: 200 max: null + mid: 200.0 + min: null diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/metadata.yaml index 93d593d014..97bdff2589 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/metadata.yaml @@ -5,9 +5,9 @@ nnpdf_metadata: nnpdf31_process: "DIJET" iNSPIRE: - url: "https://inspirehep.net/literature/1949588" + url: "https://inspirehep.net/literature/1674714" hepdata: - url: "https://www.hepdata.net/record/ins1949588" + url: "https://www.hepdata.net/record/ins1674714" version: 1 version: 1 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/rawdata/Figure9_Top.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/rawdata/Figure9_Top.yaml deleted file mode 100644 index f3823ff792..0000000000 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/rawdata/Figure9_Top.yaml +++ /dev/null @@ -1,44 +0,0 @@ -dependent_variables: -- header: {name: 'Dijet $A_{LL}$'} - qualifiers: - - {name: 'Parton Level Dijet Invariant Mass $[\mathrm{GeV}/c^{2}]$', value: East-Barrel - Endcap} - values: - - errors: - - {label: stat, symerror: 0.011} - - {label: sys, symerror: 0.001} - value: -0.0178 - - errors: - - {label: stat, symerror: 0.005} - - {label: sys, symerror: 0.0015} - value: 0.0058 - - errors: - - {label: stat, symerror: 0.004} - - {label: sys, symerror: 0.0016} - value: 0.0048 - - errors: - - {label: stat, symerror: 0.004} - - {label: sys, symerror: 0.0013} - value: 0.0017 - - errors: - - {label: stat, symerror: 0.006} - - {label: sys, symerror: 0.0017} - value: -0.0078 - - errors: - - {label: stat, symerror: 0.008} - - {label: sys, symerror: 0.0027} - value: 0.0099 - - errors: - - {label: stat, symerror: 0.03} - - {label: sys, symerror: 0.007} - value: 0.012 -independent_variables: -- header: {name: 'Parton Level Dijet Invariant Mass $[\mathrm{GeV}/c^{2}]$'} - values: - - {high: 19.82, low: 17.06} - - {high: 23.1, low: 21.12} - - {high: 27.73, low: 25.41} - - {high: 33.76, low: 30.66} - - {high: 39.75, low: 36.95} - - {high: 49.66, low: 46.36} - - {high: 67.88, low: 63.58} diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/rawdata/Table.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/rawdata/Table.yaml new file mode 100644 index 0000000000..2bfa28f8fa --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/rawdata/Table.yaml @@ -0,0 +1,47 @@ +dependent_variables: + - header: { name: "Dijet $A_{LL}$" } + qualifiers: + - { + name: 'Parton Level Dijet Invariant Mass $[\mathrm{GeV}/c^{2}]$', + value: East-Barrel + Endcap, + } + values: + - errors: + - { label: stat, symerror: 0.011 } + - { label: sys, symerror: 0.001 } + value: -0.0178 + - errors: + - { label: stat, symerror: 0.005 } + - { label: sys, symerror: 0.0015 } + value: 0.0058 + - errors: + - { label: stat, symerror: 0.004 } + - { label: sys, symerror: 0.0016 } + value: 0.0048 + - errors: + - { label: stat, symerror: 0.004 } + - { label: sys, symerror: 0.0013 } + value: 0.0017 + - errors: + - { label: stat, symerror: 0.006 } + - { label: sys, symerror: 0.0017 } + value: -0.0078 + - errors: + - { label: stat, symerror: 0.008 } + - { label: sys, symerror: 0.0027 } + value: 0.0099 + - errors: + - { label: stat, symerror: 0.03 } + - { label: sys, symerror: 0.007 } + value: 0.012 +independent_variables: + - header: { name: 'Parton Level Dijet Invariant Mass $[\mathrm{GeV}/c^{2}]$' } + values: + - { high: 19.82, low: 17.06 } + - { high: 23.1, low: 21.12 } + - { high: 27.73, low: 25.41 } + - { high: 33.76, low: 30.66 } + - { high: 39.75, low: 36.95 } + - { high: 49.66, low: 46.36 } + - { high: 67.88, low: 63.58 } diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/uncertainties.yaml index ef5c867b0c..6fd70788e3 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/uncertainties.yaml @@ -3,22 +3,638 @@ definitions: description: statistical uncertainty treatment: ADD type: UNCORR - sys: - description: systematic uncertainty + lumi_ue: + description: underlying event and relative luminosity uncertainty treatment: ADD - type: UNCORR + type: STAR2009LUMIUE + pol: + description: polarization uncertainty + treatment: MULT + type: STAR2009POL + sys_0: + description: 0 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc0 + sys_1: + description: 1 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc1 + sys_2: + description: 2 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc2 + sys_3: + description: 3 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc3 + sys_4: + description: 4 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc4 + sys_5: + description: 5 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc5 + sys_6: + description: 6 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc6 + sys_7: + description: 7 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc7 + sys_8: + description: 8 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc8 + sys_9: + description: 9 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc9 + sys_10: + description: 10 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc10 + sys_11: + description: 11 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc11 + sys_12: + description: 12 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc12 + sys_13: + description: 13 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc13 + sys_14: + description: 14 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc14 + sys_15: + description: 15 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc15 + sys_16: + description: 16 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc16 + sys_17: + description: 17 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc17 + sys_18: + description: 18 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc18 + sys_19: + description: 19 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc19 + sys_20: + description: 20 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc20 + sys_21: + description: 21 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc21 + sys_22: + description: 22 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc22 + sys_23: + description: 23 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc23 + sys_24: + description: 24 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc24 + sys_25: + description: 25 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc25 + sys_26: + description: 26 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc26 + sys_27: + description: 27 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc27 + sys_28: + description: 28 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc28 + sys_29: + description: 29 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc29 + sys_30: + description: 30 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc30 + sys_31: + description: 31 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc31 + sys_32: + description: 32 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc32 + sys_33: + description: 33 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc33 + sys_34: + description: 34 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc34 + sys_35: + description: 35 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc35 + sys_36: + description: 36 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc36 + sys_37: + description: 37 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc37 + sys_38: + description: 38 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc38 + sys_39: + description: 39 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc39 + sys_40: + description: 40 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc40 + sys_41: + description: 41 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc41 + sys_42: + description: 42 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc42 + sys_43: + description: 43 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc43 + sys_44: + description: 44 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc44 + sys_45: + description: 45 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc45 + sys_46: + description: 46 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc46 + sys_47: + description: 47 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc47 + sys_48: + description: 48 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc48 + sys_49: + description: 49 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc49 + sys_50: + description: 50 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc50 + sys_51: + description: 51 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc51 + sys_52: + description: 52 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc52 + sys_53: + description: 53 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc53 + sys_54: + description: 54 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc54 bins: - stat: 0.011 - sys: 0.001 + lumi_ue: 0.0005 + pol: -0.001157 + sys_0: -4.317226197359961e-06 + sys_1: 2.804090271238005e-06 + sys_2: 1.533190350417471e-05 + sys_3: 1.3248894278471846e-05 + sys_4: -3.970792674888402e-05 + sys_5: 4.788682989170766e-05 + sys_6: 7.578860297473904e-05 + sys_7: -5.7394041588018426e-06 + sys_8: -1.56142470492857e-05 + sys_9: 4.311010634645096e-06 + sys_10: 7.33121982630672e-05 + sys_11: -2.8776976935821262e-05 + sys_12: -5.855778266321408e-05 + sys_13: -1.4093447273033849e-05 + sys_14: 4.4380327228231225e-05 + sys_15: -1.3325774225658374e-05 + sys_16: 6.033465417142239e-06 + sys_17: 2.7492494558396243e-05 + sys_18: -7.047541911660221e-06 + sys_19: 1.3581480851298853e-06 + sys_20: -6.476895181058512e-06 + sys_21: -8.663799729471592e-06 + sys_22: 9.482890274222627e-06 + sys_23: 1.1958307342849003e-06 + sys_24: 1.4732693280305999e-05 + sys_25: -3.736661882023755e-05 + sys_26: -1.9830366563764863e-07 + sys_27: -1.553315738442825e-07 + sys_28: -1.8588162038316192e-06 + sys_29: -1.968770444620996e-06 + sys_30: 9.328655465325135e-06 + sys_31: 6.46752420202747e-06 + sys_32: -1.2064441092415521e-05 + sys_33: -1.1880625565876203e-05 + sys_34: 0.00011678148359693366 + sys_35: -1.8705415738101596e-05 + sys_36: -3.917055645981012e-06 + sys_37: -0.0004691926175721868 + sys_38: -0.0008488325877041941 + sys_39: 3.0225098159074235e-05 + sys_40: -0.00010922194438715117 + sys_41: 3.7354292478016275e-05 + sys_42: 1.0403290630320354e-05 + sys_43: 4.197043306795975e-06 + sys_44: 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5.703715661054181e-06 + sys_31: -8.169340256564795e-07 + sys_32: -4.795403532441962e-06 + sys_33: -2.853175884147154e-06 + sys_34: 1.1584240152205662e-05 + sys_35: -2.2569249772080613e-05 + sys_36: -5.706117067153508e-05 + sys_37: -3.5284317461951802e-06 + sys_38: 1.0661345577600817e-05 + sys_39: 1.9953556702085435e-05 + sys_40: 1.993532373862722e-05 + sys_41: 5.6678259172511115e-06 + sys_42: 0.0010392579895385785 + sys_43: 0.0010333464739764925 + sys_44: -0.00030783338468971604 + sys_45: -0.0006386580370345584 + sys_46: -0.00021689735003593285 + sys_47: -8.506596749045021e-06 + sys_48: -0.00012247708511736196 + sys_49: 1.5833244174123838e-05 + sys_50: -2.8128960250032784e-05 + sys_51: 4.6334702261783204e-05 + sys_52: -6.774363893320339e-05 + sys_53: -9.456304860268702e-05 + sys_54: -1.5931049017313595e-06 - stat: 0.008 - sys: 0.0027 + lumi_ue: 0.0005 + pol: 0.0006435000000000001 + sys_0: -6.901268308944533e-08 + sys_1: 2.527111324707297e-07 + sys_2: 3.2856289314680365e-06 + sys_3: 1.0892908444965393e-06 + sys_4: -2.0175082380548047e-05 + sys_5: 8.28383498981574e-06 + sys_6: 0.0001408502469980937 + sys_7: 6.911474208786563e-05 + sys_8: -8.119989145541228e-08 + sys_9: 5.413061720595011e-05 + sys_10: 2.4948254992228395e-05 + sys_11: -0.00014680007157111854 + sys_12: -0.0002013903134546795 + sys_13: 8.771399009193773e-06 + sys_14: 0.00016920758954260982 + sys_15: -4.796543640104816e-05 + sys_16: 2.2776448829736588e-05 + sys_17: 0.0004575123406122964 + sys_18: -0.0019903515525818783 + sys_19: -0.0016802709590049575 + sys_20: 0.0003845451178901134 + sys_21: 5.2858141582602583e-05 + sys_22: 1.1791411945682977e-05 + sys_23: 0.0001258251449153481 + sys_24: -2.519812470752517e-05 + sys_25: 8.930199808043769e-06 + sys_26: 5.95196436722984e-06 + sys_27: 3.13406711084332e-07 + sys_28: -7.519852420414007e-07 + sys_29: -1.8146526032254e-06 + sys_30: 3.9287294872502916e-06 + sys_31: 1.0635185272796338e-06 + sys_32: -3.864095923560414e-06 + sys_33: -2.694686099855434e-06 + sys_34: 8.870830584739429e-06 + sys_35: 4.891346818891008e-05 + sys_36: 1.3270011458155981e-05 + sys_37: -5.232159249672709e-06 + sys_38: 5.894506392895543e-06 + sys_39: 5.8889935865413965e-06 + sys_40: 1.76412557731669e-05 + sys_41: -1.0603731634666803e-05 + sys_42: -1.1183018323177393e-05 + sys_43: 7.206890189749094e-07 + sys_44: -8.84791748818859e-06 + sys_45: -3.610497445740074e-06 + sys_46: -8.659518643602748e-06 + sys_47: 3.24489282994933e-05 + sys_48: -9.308519699482843e-06 + sys_49: 4.79806488041496e-07 + sys_50: 1.6103119364681663e-06 + sys_51: 1.252084850583123e-07 + sys_52: -2.3009925326515995e-05 + sys_53: -3.188310734160565e-05 + sys_54: -1.3725732071673286e-07 - stat: 0.03 - sys: 0.007 + lumi_ue: 0.0005 + pol: 0.0007800000000000001 + sys_0: -7.869315895733471e-06 + sys_1: 2.713017354609144e-06 + sys_2: 5.815729290616714e-05 + sys_3: 1.5378264683085485e-05 + sys_4: -0.00026239571153456175 + sys_5: 0.00017732214220446022 + sys_6: 0.003827902906537021 + sys_7: 0.0019087791495396272 + sys_8: 0.005479558381969708 + sys_9: -0.00020975904305892644 + sys_10: -0.0005857411196858181 + sys_11: 0.00025481059211819335 + sys_12: 0.00027426712303479917 + sys_13: 5.528844400738451e-05 + sys_14: -0.00019342000921775308 + sys_15: 5.989794861160316e-05 + sys_16: 3.6370250085725546e-06 + sys_17: -2.4391573739440564e-05 + sys_18: 3.2973632136779246e-05 + sys_19: -1.2863855987108255e-05 + sys_20: 2.3244065704666267e-06 + sys_21: 1.082310950067716e-05 + sys_22: -4.085331968169395e-06 + sys_23: 2.760811082903175e-06 + sys_24: -8.51032055704677e-06 + sys_25: 1.8290731537061998e-05 + sys_26: 4.962160519692829e-07 + sys_27: -1.0127300090336294e-08 + sys_28: -1.9275627626677515e-07 + sys_29: -2.3885919305788315e-07 + sys_30: 8.767113525614774e-07 + sys_31: 5.16101749416286e-07 + sys_32: -9.087213201847263e-07 + sys_33: -1.0375370255823438e-06 + sys_34: 3.5487170167904455e-06 + sys_35: 1.1006287422880045e-05 + sys_36: 1.532257503518036e-06 + sys_37: -2.970565600998253e-06 + sys_38: 1.2613941376566012e-06 + sys_39: -8.546875793871267e-07 + sys_40: 6.511445449227887e-06 + sys_41: -4.443679311057276e-06 + sys_42: -5.110368015222906e-06 + sys_43: -1.4837415323438934e-06 + sys_44: -1.58947201893724e-06 + sys_45: 2.827404061127901e-06 + sys_46: -1.1777475286104613e-06 + sys_47: 1.006124507569685e-05 + sys_48: 5.307416038106339e-07 + sys_49: -2.1418956485350758e-07 + sys_50: -7.265846869734679e-07 + sys_51: -3.7548722739803504e-06 + sys_52: -6.075513407388898e-06 + sys_53: -7.728853689758109e-06 + sys_54: -3.2270993758520353e-09 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/filter.py b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/filter.py deleted file mode 100644 index 101ba76767..0000000000 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/filter.py +++ /dev/null @@ -1,85 +0,0 @@ -import glob - -import pandas as pd -import yaml - - -def read_data(fnames): - df = pd.DataFrame() - for fname in fnames: - with open(fname, "r") as file: - data = yaml.safe_load(file) - - Msub = data["independent_variables"][0]["values"] - Gsub = data["dependent_variables"][0]["values"] - - for i in range(len(Msub)): - - df = pd.concat( - [ - df, - pd.DataFrame( - { - "m_low": [Msub[i]["low"]], - "m_high": [Msub[i]["high"]], - "G": [Gsub[i]["value"]], - "stat": [Gsub[i]["errors"][0]["symerror"]], - "sys": [Gsub[i]["errors"][1]["symerror"]], - } - ), - ], - ignore_index=True, - ) - - return df - - -def write_data(df): - data_central = [] - for i in range(len(df["G"])): - data_central.append(float(df.loc[i, "G"])) - - data_central_yaml = {"data_central": data_central} - with open("data.yaml", "w") as file: - yaml.dump(data_central_yaml, file, sort_keys=False) - - # Write kin file - kin = [] - for i in range(len(df["G"])): - kin_value = { - "m_jj": { - "min": float(df.loc[i, "m_low"]), - "mid": None, - "max": float(df.loc[i, "m_high"]), - }, - "sqrts": {"min": None, "mid": 200, "max": None}, - } - kin.append(kin_value) - - kinematics_yaml = {"bins": kin} - - with open("kinematics.yaml", "w") as file: - yaml.dump(kinematics_yaml, file, sort_keys=False) - - # Write unc file - error = [] - for idx, i in enumerate(range(len(df))): - e = {"stat": float(df.loc[i, "stat"]), "sys": float(df.loc[i, "sys"])} - error.append(e) - - error_definition = { - "stat": {"description": "statistical uncertainty", "treatment": "ADD", "type": "UNCORR"}, - "sys": {"description": "systematic uncertainty", "treatment": "ADD", "type": "UNCORR"}, - } - - uncertainties_yaml = {"definitions": error_definition, "bins": error} - - with open("uncertainties.yaml", "w") as file: - yaml.dump(uncertainties_yaml, file, sort_keys=False) - - -if __name__ == "__main__": - fnames = glob.glob("rawdata/*.yaml") - nnames = sorted([i for i in fnames]) - df = read_data(nnames) - write_data(df) diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/kinematics.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/kinematics.yaml index 2122d767e6..27677c4568 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/kinematics.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/kinematics.yaml @@ -1,57 +1,57 @@ bins: - m_jj: - min: 17.31 - mid: null max: 19.71 + mid: 18.509999999999998 + min: 17.31 sqrts: - min: null - mid: 200 max: null + mid: 200.0 + min: null - m_jj: - min: 20.62 - mid: null max: 22.94 + mid: 21.78 + min: 20.62 sqrts: - min: null - mid: 200 max: null + mid: 200.0 + min: null - m_jj: - min: 24.83 - mid: null max: 27.21 + mid: 26.02 + min: 24.83 sqrts: - min: null - mid: 200 max: null + mid: 200.0 + min: null - m_jj: - min: 29.42 - mid: null max: 32.16 + mid: 30.79 + min: 29.42 sqrts: - min: null - mid: 200 max: null + mid: 200.0 + min: null - m_jj: - min: 36.62 - mid: null max: 39.28 + mid: 37.95 + min: 36.62 sqrts: - min: null - mid: 200 max: null + mid: 200.0 + min: null - m_jj: - min: 44.88 - mid: null max: 47.98 + mid: 46.43 + min: 44.88 sqrts: - min: null - mid: 200 max: null + mid: 200.0 + min: null - m_jj: - min: 59.6 - mid: null max: 66.04 + mid: 62.82000000000001 + min: 59.6 sqrts: - min: null - mid: 200 max: null + mid: 200.0 + min: null diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/metadata.yaml index 675cf5256d..86feaca0a6 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/metadata.yaml @@ -5,9 +5,9 @@ nnpdf_metadata: nnpdf31_process: "DIJET" iNSPIRE: - url: "https://inspirehep.net/literature/1949588" + url: "https://inspirehep.net/literature/1674714" hepdata: - url: "https://www.hepdata.net/record/ins1949588" + url: "https://www.hepdata.net/record/ins1674714" version: 1 version: 1 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/rawdata/Figure9_Mid.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/rawdata/Table.yaml similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/rawdata/Figure9_Mid.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/rawdata/Table.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/uncertainties.yaml index 43934dead9..ee8ba234fd 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/uncertainties.yaml @@ -3,22 +3,638 @@ definitions: description: statistical uncertainty treatment: ADD type: UNCORR - sys: - description: systematic uncertainty + lumi_ue: + description: underlying event and relative luminosity uncertainty treatment: ADD - type: UNCORR + type: STAR2009LUMIUE + pol: + description: polarization uncertainty + treatment: MULT + type: STAR2009POL + sys_0: + description: 0 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc0 + sys_1: + description: 1 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc1 + sys_2: + description: 2 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc2 + sys_3: + description: 3 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc3 + sys_4: + description: 4 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc4 + sys_5: + description: 5 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc5 + sys_6: + description: 6 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc6 + sys_7: + description: 7 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc7 + sys_8: + description: 8 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc8 + sys_9: + description: 9 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc9 + sys_10: + description: 10 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc10 + sys_11: + description: 11 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc11 + sys_12: + description: 12 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc12 + sys_13: + description: 13 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc13 + sys_14: + description: 14 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc14 + sys_15: + description: 15 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc15 + sys_16: + description: 16 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc16 + sys_17: + description: 17 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc17 + sys_18: + description: 18 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc18 + sys_19: + description: 19 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc19 + sys_20: + description: 20 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc20 + sys_21: + description: 21 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc21 + sys_22: + description: 22 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc22 + sys_23: + description: 23 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc23 + sys_24: + description: 24 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc24 + sys_25: + description: 25 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc25 + sys_26: + description: 26 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc26 + sys_27: + description: 27 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc27 + sys_28: + description: 28 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc28 + sys_29: + description: 29 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc29 + sys_30: + description: 30 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc30 + sys_31: + description: 31 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc31 + sys_32: + description: 32 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc32 + sys_33: + description: 33 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc33 + sys_34: + description: 34 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc34 + sys_35: + description: 35 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc35 + sys_36: + description: 36 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc36 + sys_37: + description: 37 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc37 + sys_38: + description: 38 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc38 + sys_39: + description: 39 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc39 + sys_40: + description: 40 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc40 + sys_41: + description: 41 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc41 + sys_42: + description: 42 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc42 + sys_43: + description: 43 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc43 + sys_44: + description: 44 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc44 + sys_45: + description: 45 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc45 + sys_46: + description: 46 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc46 + sys_47: + description: 47 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc47 + sys_48: + description: 48 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc48 + sys_49: + description: 49 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc49 + sys_50: + description: 50 artificial correlated systematics uncertainty + treatment: ADD + type: 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a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_OS_200GEV/kinematics.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_OS_200GEV/kinematics.yaml new file mode 100644 index 0000000000..58657f6130 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_OS_200GEV/kinematics.yaml @@ -0,0 +1,57 @@ +bins: +- m_jj: + max: null + mid: 17.99 + min: null + sqrts: + max: null + mid: 200.0 + min: null +- m_jj: + max: null + mid: 21.58 + min: null + sqrts: + max: null + mid: 200.0 + min: null +- m_jj: + max: null + mid: 26.29 + min: null + sqrts: + max: null + mid: 200.0 + min: null +- m_jj: + max: null + mid: 31.72 + min: null + sqrts: + max: null + mid: 200.0 + min: null +- m_jj: + max: null + mid: 38.38 + min: null + sqrts: + max: null + mid: 200.0 + min: null +- m_jj: + max: null + mid: 48.79 + min: null + sqrts: + max: null + mid: 200.0 + min: null +- m_jj: + max: null + mid: 67.32 + min: null + sqrts: + max: null + mid: 200.0 + min: null diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_OS_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_OS_200GEV/metadata.yaml new file mode 100644 index 0000000000..82bca00604 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_OS_200GEV/metadata.yaml @@ -0,0 +1,49 @@ +setname: "STAR_2009_2JET_OS_200GEV" + +nnpdf_metadata: + experiment: "STAR" + nnpdf31_process: "DIJET" + +iNSPIRE: + url: "https://inspirehep.net/literature/1493842" +hepdata: + url: "https://www.hepdata.net/record/ins1493842" + version: 1 + +version: 1 +version_comment: "Initial implementation" + +implemented_observables: + - observable: + { + description: "ALL as function of $M_{inv}$, OS", + label: "$A_{LL}$", + units: "", + } + observable_name: ALL + process_type: DIJET_POL + ndata: 7 + tables: [9] + kinematics: + variables: + m_jj: { description: "dijet mass", label: "$m_{jj}$", units: "GeV" } + sqrts: + { + description: "center of mass energy", + label: r"$\sqrt(s)$", + units: "GeV", + } + file: kinematics.yaml + kinematic_coverage: [m_jj, sqrts] + data_central: data.yaml + data_uncertainties: + - uncertainties.yaml + plotting: + dataset_label: "STAR 200 GeV (2009) DIJET $A_{LL}$, OS" + kinematics_override: identity + plot_x: m_jj + x_scale: log + y_label: "$A_{LL}$" + theory: + FK_tables: + - - STAR_2009_2JET_OS_200GEV_ALL diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_OS_200GEV/rawdata/Table.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_OS_200GEV/rawdata/Table.yaml new file mode 100644 index 0000000000..17a08d70f9 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_OS_200GEV/rawdata/Table.yaml @@ -0,0 +1,81 @@ +dependent_variables: +- header: {name: DIJET MASS, units: GEV} + qualifiers: + - {name: JET ALGORITHM, value: Anti-kT R = 0.6} + - {name: PHASE SPACE, value: '|ETA_1,ETA_2| < 0.8'} + - {name: RE, value: P P --> JET JET X} + - {name: SQRT(s), value: 200 GEV} + values: + - errors: + - {label: stat, symerror: 0.0} + - {label: sys, symerror: 0.54} + value: 17.99 + - errors: + - {label: stat, symerror: 0.0} + - {label: sys, symerror: 0.96} + value: 21.58 + - errors: + - {label: stat, symerror: 0.0} + - {label: sys, symerror: 1.32} + value: 26.29 + - errors: + - {label: stat, symerror: 0.0} + - {label: sys, symerror: 1.72} + value: 31.72 + - errors: + - {label: stat, symerror: 0.0} + - {label: sys, symerror: 1.7} + value: 38.38 + - errors: + - {label: stat, symerror: 0.0} + - {label: sys, symerror: 2.07} + value: 48.79 + - errors: + - {label: stat, symerror: 0.0} + - {label: sys, symerror: 3.35} + value: 67.32 +- header: {name: ASYMMETRY} + qualifiers: + - {name: JET ALGORITHM, value: Anti-kT R = 0.6} + - {name: PHASE SPACE, value: Sign(ETA_1) != Sign(ETA_2)} + - {name: RE, value: P P --> JET JET X} + - {name: SQRT(s), value: 200 GEV} + values: + - errors: + - {label: stat, symerror: 0.0039} + - {label: sys, symerror: 0.0005} + value: 0.0059 + - errors: + - {label: stat, symerror: 0.0032} + - {label: sys, symerror: 0.0006} + value: 0.0096 + - errors: + - {label: stat, symerror: 0.0037} + - {label: sys, symerror: 0.0007} + value: 0.0068 + - errors: + - {label: stat, symerror: 0.005} + - {label: sys, symerror: 0.0009} + value: 0.0151 + - errors: + - {label: stat, symerror: 0.0077} + - {label: sys, symerror: 0.0013} + value: 0.0083 + - errors: + - {label: stat, symerror: 0.0109} + - {label: sys, symerror: 0.0022} + value: 0.0092 + - errors: + - {label: stat, symerror: 0.034} + - {label: sys, symerror: 0.0036} + value: -0.0282 +independent_variables: +- header: {name: Bin} + values: + - {value: 8.0} + - {value: 9.0} + - {value: 10.0} + - {value: 11.0} + - {value: 12.0} + - {value: 13.0} + - {value: 14.0} diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_OS_200GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_OS_200GEV/uncertainties.yaml new file mode 100644 index 0000000000..434c52b454 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_OS_200GEV/uncertainties.yaml @@ -0,0 +1,640 @@ +definitions: + stat: + description: statistical uncertainty + treatment: ADD + type: UNCORR + lumi_ue: + description: underlying event and relative luminosity uncertainty + treatment: ADD + type: STAR2009LUMIUE + pol: + description: polarization uncertainty + treatment: MULT + type: STAR2009POL + sys_0: + description: 0 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc0 + sys_1: + description: 1 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc1 + sys_2: + description: 2 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc2 + sys_3: + description: 3 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc3 + sys_4: + description: 4 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc4 + sys_5: + description: 5 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc5 + sys_6: + description: 6 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc6 + sys_7: + description: 7 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc7 + sys_8: + description: 8 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc8 + sys_9: + description: 9 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc9 + sys_10: + description: 10 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc10 + sys_11: + description: 11 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc11 + sys_12: + description: 12 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc12 + sys_13: + description: 13 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc13 + sys_14: + description: 14 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc14 + sys_15: + description: 15 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc15 + sys_16: + description: 16 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc16 + sys_17: + description: 17 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc17 + sys_18: + description: 18 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc18 + sys_19: + description: 19 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc19 + sys_20: + description: 20 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc20 + sys_21: + description: 21 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc21 + sys_22: + description: 22 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc22 + sys_23: + description: 23 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc23 + sys_24: + description: 24 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc24 + sys_25: + description: 25 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc25 + sys_26: + description: 26 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc26 + sys_27: + description: 27 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc27 + sys_28: + description: 28 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc28 + sys_29: + description: 29 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc29 + sys_30: + description: 30 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc30 + sys_31: + description: 31 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc31 + sys_32: + description: 32 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc32 + sys_33: + description: 33 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc33 + sys_34: + description: 34 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc34 + sys_35: + description: 35 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc35 + sys_36: + description: 36 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc36 + sys_37: + description: 37 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc37 + sys_38: + description: 38 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc38 + sys_39: + description: 39 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc39 + sys_40: + description: 40 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc40 + sys_41: + description: 41 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc41 + sys_42: + description: 42 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc42 + sys_43: + description: 43 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc43 + sys_44: + description: 44 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc44 + sys_45: + description: 45 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc45 + sys_46: + description: 46 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc46 + sys_47: + description: 47 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc47 + sys_48: + description: 48 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b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_SS_200GEV/data.yaml new file mode 100644 index 0000000000..0adfd014d1 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_SS_200GEV/data.yaml @@ -0,0 +1,8 @@ +data_central: +- 0.0067 +- 0.0088 +- 0.0162 +- 0.0024 +- 0.013 +- 0.0336 +- 0.0755 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_SS_200GEV/kinematics.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_SS_200GEV/kinematics.yaml new file mode 100644 index 0000000000..6aa1fcc389 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_SS_200GEV/kinematics.yaml @@ -0,0 +1,57 @@ +bins: +- m_jj: + max: null + mid: 17.7 + min: null + sqrts: + max: null + mid: 200.0 + min: null +- m_jj: + max: null + mid: 21.34 + min: null + sqrts: + max: null + mid: 200.0 + min: null +- m_jj: + max: null + mid: 26.02 + min: null + sqrts: + max: null + mid: 200.0 + min: null +- m_jj: + max: null + mid: 31.66 + min: null + sqrts: + max: null + mid: 200.0 + min: null +- m_jj: + max: null + mid: 38.25 + min: null + sqrts: + max: null + mid: 200.0 + min: null +- m_jj: + max: null + mid: 48.28 + min: null + sqrts: + max: null + mid: 200.0 + min: null +- m_jj: + max: null + mid: 66.65 + min: null + sqrts: + max: null + mid: 200.0 + min: null diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_SS_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_SS_200GEV/metadata.yaml new file mode 100644 index 0000000000..661703181b --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_SS_200GEV/metadata.yaml @@ -0,0 +1,49 @@ +setname: "STAR_2009_2JET_SS_200GEV" + +nnpdf_metadata: + experiment: "STAR" + nnpdf31_process: "DIJET" + +iNSPIRE: + url: "https://inspirehep.net/literature/1493842" +hepdata: + url: "https://www.hepdata.net/record/ins1493842" + version: 1 + +version: 1 +version_comment: "Initial implementation" + +implemented_observables: + - observable: + { + description: "ALL as function of $M_{inv}$, SS", + label: "$A_{LL}$", + units: "", + } + observable_name: ALL + process_type: DIJET_POL + ndata: 7 + tables: [7] + kinematics: + variables: + m_jj: { description: "dijet mass", label: "$m_{jj}$", units: "GeV" } + sqrts: + { + description: "center of mass energy", + label: r"$\sqrt(s)$", + units: "GeV", + } + file: kinematics.yaml + kinematic_coverage: [m_jj, sqrts] + data_central: data.yaml + data_uncertainties: + - uncertainties.yaml + plotting: + dataset_label: "STAR 200 GeV (2009) DIJET $A_{LL}$, SS" + kinematics_override: identity + plot_x: m_jj + x_scale: log + y_label: "$A_{LL}$" + theory: + FK_tables: + - - STAR_2009_2JET_SS_200GEV_ALL diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_SS_200GEV/rawdata/Table.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_SS_200GEV/rawdata/Table.yaml new file mode 100644 index 0000000000..00e274aa76 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_SS_200GEV/rawdata/Table.yaml @@ -0,0 +1,81 @@ +dependent_variables: +- header: {name: DIJET MASS, units: GEV} + qualifiers: + - {name: JET ALGORITHM, value: Anti-kT R = 0.6} + - {name: PHASE SPACE, value: '|ETA_1,ETA_2| < 0.8'} + - {name: RE, value: P P --> JET JET X} + - {name: SQRT(s), value: 200 GEV} + values: + - errors: + - {label: stat, symerror: 0.0} + - {label: sys, symerror: 0.56} + value: 17.7 + - errors: + - {label: stat, symerror: 0.0} + - {label: sys, symerror: 1.07} + value: 21.34 + - errors: + - {label: stat, symerror: 0.0} + - {label: sys, symerror: 1.33} + value: 26.02 + - errors: + - {label: stat, symerror: 0.0} + - {label: sys, symerror: 1.39} + value: 31.66 + - errors: + - {label: stat, symerror: 0.0} + - {label: sys, symerror: 1.79} + value: 38.25 + - errors: + - {label: stat, symerror: 0.0} + - {label: sys, symerror: 2.17} + value: 48.28 + - errors: + - {label: stat, symerror: 0.0} + - {label: sys, symerror: 2.56} + value: 66.65 +- header: {name: ASYMMETRY} + qualifiers: + - {name: JET ALGORITHM, value: Anti-kT R = 0.6} + - {name: PHASE SPACE, value: Sign(ETA_1) = Sign(ETA_2)} + - {name: RE, value: P P --> JET JET X} + - {name: SQRT(s), value: 200 GEV} + values: + - errors: + - {label: stat, symerror: 0.0034} + - {label: sys, symerror: 0.0004} + value: 0.0067 + - errors: + - {label: stat, symerror: 0.0032} + - {label: sys, symerror: 0.0005} + value: 0.0088 + - errors: + - {label: stat, symerror: 0.0039} + - {label: sys, symerror: 0.0006} + value: 0.0162 + - errors: + - {label: stat, symerror: 0.0056} + - {label: sys, symerror: 0.001} + value: 0.0024 + - errors: + - {label: stat, symerror: 0.0089} + - {label: sys, symerror: 0.0015} + value: 0.013 + - errors: + - {label: stat, symerror: 0.0133} + - {label: sys, symerror: 0.0024} + value: 0.0336 + - errors: + - {label: stat, symerror: 0.046} + - {label: sys, symerror: 0.0041} + value: 0.0755 +independent_variables: +- header: {name: Bin} + values: + - {value: 1.0} + - {value: 2.0} + - {value: 3.0} + - {value: 4.0} + - {value: 5.0} + - {value: 6.0} + - {value: 7.0} diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_SS_200GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_SS_200GEV/uncertainties.yaml new file mode 100644 index 0000000000..bc1f0b4291 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_SS_200GEV/uncertainties.yaml @@ -0,0 +1,640 @@ +definitions: + stat: + description: statistical uncertainty + treatment: ADD + type: UNCORR + lumi_ue: + description: underlying event and relative luminosity uncertainty + treatment: ADD + type: STAR2009LUMIUE + pol: + description: polarization uncertainty + treatment: MULT + type: STAR2009POL + sys_0: + description: 0 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc0 + sys_1: + description: 1 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc1 + sys_2: + description: 2 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc2 + sys_3: + description: 3 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc3 + sys_4: + description: 4 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc4 + sys_5: + description: 5 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc5 + sys_6: + description: 6 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc6 + sys_7: + description: 7 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc7 + sys_8: + description: 8 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc8 + sys_9: + description: 9 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc9 + sys_10: + description: 10 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc10 + sys_11: + description: 11 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc11 + sys_12: + description: 12 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc12 + sys_13: + description: 13 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc13 + sys_14: + description: 14 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc14 + sys_15: + description: 15 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc15 + sys_16: + description: 16 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc16 + sys_17: + description: 17 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc17 + sys_18: + description: 18 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc18 + sys_19: + description: 19 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc19 + sys_20: + description: 20 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc20 + sys_21: + description: 21 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc21 + sys_22: + description: 22 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc22 + sys_23: + description: 23 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc23 + sys_24: + description: 24 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc24 + sys_25: + description: 25 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc25 + sys_26: + description: 26 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc26 + sys_27: + description: 27 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc27 + sys_28: + description: 28 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc28 + sys_29: + description: 29 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc29 + sys_30: + description: 30 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc30 + sys_31: + description: 31 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc31 + sys_32: + description: 32 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc32 + sys_33: + description: 33 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc33 + sys_34: + description: 34 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc34 + sys_35: + description: 35 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc35 + sys_36: + description: 36 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc36 + sys_37: + description: 37 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc37 + sys_38: + description: 38 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc38 + sys_39: + description: 39 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc39 + sys_40: + description: 40 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc40 + sys_41: + description: 41 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc41 + sys_42: + description: 42 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc42 + sys_43: + description: 43 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc43 + sys_44: + description: 44 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc44 + sys_45: + description: 45 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc45 + sys_46: + description: 46 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc46 + sys_47: + description: 47 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc47 + sys_48: + description: 48 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc48 + sys_49: + description: 49 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc49 + sys_50: + description: 50 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc50 + sys_51: + description: 51 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc51 + sys_52: + description: 52 artificial correlated systematics uncertainty + treatment: ADD + type: STAR2009JETunc52 + sys_53: + description: 53 artificial correlated systematics uncertainty + treatment: ADD + type: 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8.351743182233937e-07 + sys_50: -8.909902905485869e-06 + sys_51: -2.500575195807621e-05 + sys_52: 1.5711433681084028e-05 + sys_53: 1.4611441526549152e-05 + sys_54: 1.8962497882455335e-05 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/metadata.yaml index b082cf20bd..273c010c6f 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/metadata.yaml @@ -5,9 +5,9 @@ nnpdf_metadata: nnpdf31_process: "JETS" iNSPIRE: - url: "https://inspirehep.net/literature/1738738" + url: "https://inspirehep.net/literature/1493842" hepdata: - url: "https://www.hepdata.net/record/ins1738738" + url: "https://www.hepdata.net/record/ins1493842" version: 1 arXiv: url: https://arxiv.org/abs/1906.02740 @@ -16,7 +16,12 @@ version: 1 version_comment: "Initial implementation, correlations from arXiv" implemented_observables: - - observable: { description: "$A_{LL}$ as function of $p_T$", label: "$A_{LL}$", units: "" } + - observable: + { + description: "$A_{LL}$ as function of $p_T$", + label: "$A_{LL}$", + units: "", + } observable_name: ALL process_type: JET_POL ndata: 14 From 6cc4020c8749f102ac3df96ef5fe0d094fc61e5b Mon Sep 17 00:00:00 2001 From: toonhasenack Date: Mon, 29 Apr 2024 11:45:17 +0200 Subject: [PATCH 22/70] change back filter import --- .../new_commondata/STAR_2005_1JET_200GEV/filter.py | 5 ++--- .../new_commondata/STAR_2006_1JET_200GEV/filter.py | 5 ++--- 2 files changed, 4 insertions(+), 6 deletions(-) diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2005_1JET_200GEV/filter.py b/nnpdf_data/nnpdf_data/new_commondata/STAR_2005_1JET_200GEV/filter.py index b31a0748fc..96dbc30394 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2005_1JET_200GEV/filter.py +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2005_1JET_200GEV/filter.py @@ -1,11 +1,10 @@ import glob +import sys import pandas as pd import yaml -import sys -sys.path.append('../../') -from filter_utils.uncertainties import symmetrize_errors as se +from nnpdf_data.filter_utils.uncertainties import symmetrize_errors as se def read_data(fnames): diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2006_1JET_200GEV/filter.py b/nnpdf_data/nnpdf_data/new_commondata/STAR_2006_1JET_200GEV/filter.py index b31a0748fc..96dbc30394 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2006_1JET_200GEV/filter.py +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2006_1JET_200GEV/filter.py @@ -1,11 +1,10 @@ import glob +import sys import pandas as pd import yaml -import sys -sys.path.append('../../') -from filter_utils.uncertainties import symmetrize_errors as se +from nnpdf_data.filter_utils.uncertainties import symmetrize_errors as se def read_data(fnames): From 8687f8a812cbd0403a5a33de3aa7c9f5579c3b1d Mon Sep 17 00:00:00 2001 From: toonhasenack Date: Wed, 1 May 2024 11:22:46 +0200 Subject: [PATCH 23/70] Giacomo's suggestions --- .../star/jet_dijet_2009_200gev.py | 109 +++++++++--------- .../STAR_2009_1JET_200GEV/kinematics.yaml | 44 +++---- .../STAR_2009_1JET_200GEV/metadata.yaml | 2 +- .../STAR_2009_1JET_200GEV/uncertainties.yaml | 96 ++++----------- .../uncertainties.yaml | 18 --- .../uncertainties.yaml | 22 ---- .../uncertainties.yaml | 22 ---- .../uncertainties.yaml | 11 -- .../uncertainties.yaml | 11 -- 9 files changed, 101 insertions(+), 234 deletions(-) diff --git a/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2009_200gev.py b/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2009_200gev.py index 8b98c15ca7..2621d62c62 100644 --- a/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2009_200gev.py +++ b/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2009_200gev.py @@ -80,8 +80,6 @@ def read_1jet_data(): print("ERROR: Unknown table number detected! Check input files.") df = pd.concat([df3, df4], ignore_index=True) - df["pol"] = POL_UNC * df["ALL"] - df["lumi_ue"] = LUMI_UNC for i in range(len(df)): df.loc[i, "stat"] = df.loc[i, "stat_max"] @@ -111,8 +109,6 @@ def read_2jet_data(topology): "ALL": [Gsub[i]["value"]], "stat": [Gsub[i]["errors"][0]["symerror"]], "sys": [Gsub[i]["errors"][1]["symerror"]], - "pol": [POL_UNC * Gsub[i]["value"]], - "lumi_ue": [LUMI_UNC], } ), ], @@ -138,7 +134,6 @@ def read_2jet_data(topology): "stat": [Gsub[i]["errors"][0]["symerror"]], "sys": [Gsub[i]["errors"][1]["symerror"]], "pol": [POL_UNC * Gsub[i]["value"]], - "lumi_ue": [LUMI_UNC], } ), ], @@ -163,7 +158,7 @@ def write_1jet_data(df, art_sys): kin_value = { "pT": {"min": None, "mid": float(df.loc[i, "pT"]), "max": None}, "sqrts": {"min": None, "mid": float(df.loc[i, "sqrts"]), "max": None}, - "eta": { + "eta_abs": { "min": float(df.loc[i, "abs_eta_min"]), "mid": float(df.loc[i, "abs_eta"]), "max": float(df.loc[i, "abs_eta_max"]), @@ -176,21 +171,10 @@ def write_1jet_data(df, art_sys): # Write unc file error = [] - error_definition = { - "lumi_ue": { - "description": "underlying event and relative luminosity uncertainty", - "treatment": "ADD", - "type": f"STAR2009LUMI", - }, - "pol": { - "description": "polarization uncertainty", - "treatment": "MULT", - "type": f"STAR2009POL", - }, - } + error_definition = {} # loop on data points for i, sys_i in enumerate(art_sys): - e = {"lumi_ue": float(df.loc[i, "lumi_ue"]), "pol": float(df.loc[i, "pol"])} + e = {} # loop on art sys for j, val in enumerate(sys_i): e[f"sys_{j}"] = val @@ -243,42 +227,61 @@ def write_2jet_data(df, topology, art_sys): # Write unc file error = [] - error_definition = { - "stat": {"description": "statistical uncertainty", "treatment": "ADD", "type": "UNCORR"}, - "lumi_ue": { - "description": "underlying event and relative luminosity uncertainty", - "treatment": "ADD", - "type": f"STAR2009LUMIUE", - }, - "pol": { - "description": "polarization uncertainty", - "treatment": "MULT", - "type": f"STAR2009POL", - }, - } - # loop on data points - for i, sys_i in enumerate(art_sys): - e = { - "stat": float(df.loc[i, "stat"]), - "lumi_ue": float(df.loc[i, "lumi_ue"]), - "pol": float(df.loc[i, "pol"]), + if topology in ["A", "B", "C"]: + error_definition = { + "stat": {"description": "statistical uncertainty", "treatment": "ADD", "type": "UNCORR"} } - # loop on art sys - for j, val in enumerate(sys_i): - e[f"sys_{j}"] = val - error.append(e) - - if i == 0: - error_definition.update( - { - f"sys_{j}": { - "description": f"{j} artificial correlated systematics uncertainty", - "treatment": "ADD", - "type": f"STAR2009JETunc{j}", + # loop on data points + for i, sys_i in enumerate(art_sys): + e = {"stat": float(df.loc[i, "stat"])} + # loop on art sys + for j, val in enumerate(sys_i): + e[f"sys_{j}"] = val + error.append(e) + + if i == 0: + error_definition.update( + { + f"sys_{j}": { + "description": f"{j} artificial correlated systematics uncertainty", + "treatment": "ADD", + "type": f"STAR2009JETunc{j}", + } + for j in range(len(sys_i)) } - for j in range(len(sys_i)) - } - ) + ) + else: + error_definition = { + "stat": { + "description": "statistical uncertainty", + "treatment": "ADD", + "type": "UNCORR", + }, + "pol": { + "description": "polarization uncertainty", + "treatment": "MULT", + "type": f"STAR2009POL", + }, + } + # loop on data points + for i, sys_i in enumerate(art_sys): + e = {"stat": float(df.loc[i, "stat"]), "pol": float(df.loc[i, "pol"])} + # loop on art sys + for j, val in enumerate(sys_i): + e[f"sys_{j}"] = val + error.append(e) + + if i == 0: + error_definition.update( + { + f"sys_{j}": { + "description": f"{j} artificial correlated systematics uncertainty", + "treatment": "ADD", + "type": f"STAR2009JETunc{j}", + } + for j in range(len(sys_i)) + } + ) uncertainties_yaml = {"definitions": error_definition, "bins": error} with open(STORE_PATH + "uncertainties.yaml", "w", encoding="utf-8") as file: diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/kinematics.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/kinematics.yaml index 547551a6b9..2ccd4e689d 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/kinematics.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/kinematics.yaml @@ -1,5 +1,5 @@ bins: -- eta: +- eta_abs: max: 0.5 mid: 0.25 min: 0.0 @@ -11,7 +11,7 @@ bins: max: null mid: 200.0 min: null -- eta: +- eta_abs: max: 0.5 mid: 0.25 min: 0.0 @@ -23,7 +23,7 @@ bins: max: null mid: 200.0 min: null -- eta: +- eta_abs: max: 0.5 mid: 0.25 min: 0.0 @@ -35,7 +35,7 @@ bins: max: null mid: 200.0 min: null -- eta: +- eta_abs: max: 0.5 mid: 0.25 min: 0.0 @@ -47,7 +47,7 @@ bins: max: null mid: 200.0 min: null -- eta: +- eta_abs: max: 0.5 mid: 0.25 min: 0.0 @@ -59,7 +59,7 @@ bins: max: null mid: 200.0 min: null -- eta: +- eta_abs: max: 0.5 mid: 0.25 min: 0.0 @@ -71,7 +71,7 @@ bins: max: null mid: 200.0 min: null -- eta: +- eta_abs: max: 0.5 mid: 0.25 min: 0.0 @@ -83,7 +83,7 @@ bins: max: null mid: 200.0 min: null -- eta: +- eta_abs: max: 0.5 mid: 0.25 min: 0.0 @@ -95,7 +95,7 @@ bins: max: null mid: 200.0 min: null -- eta: +- eta_abs: max: 0.5 mid: 0.25 min: 0.0 @@ -107,7 +107,7 @@ bins: max: null mid: 200.0 min: null -- eta: +- eta_abs: max: 0.5 mid: 0.25 min: 0.0 @@ -119,7 +119,7 @@ bins: max: null mid: 200.0 min: null -- eta: +- eta_abs: max: 0.5 mid: 0.25 min: 0.0 @@ -131,7 +131,7 @@ bins: max: null mid: 200.0 min: null -- eta: +- eta_abs: max: 1.0 mid: .nan min: 0.5 @@ -143,7 +143,7 @@ bins: max: null mid: 200.0 min: null -- eta: +- eta_abs: max: 1.0 mid: .nan min: 0.5 @@ -155,7 +155,7 @@ bins: max: null mid: 200.0 min: null -- eta: +- eta_abs: max: 1.0 mid: .nan min: 0.5 @@ -167,7 +167,7 @@ bins: max: null mid: 200.0 min: null -- eta: +- eta_abs: max: 1.0 mid: .nan min: 0.5 @@ -179,7 +179,7 @@ bins: max: null mid: 200.0 min: null -- eta: +- eta_abs: max: 1.0 mid: .nan min: 0.5 @@ -191,7 +191,7 @@ bins: max: null mid: 200.0 min: null -- eta: +- eta_abs: max: 1.0 mid: .nan min: 0.5 @@ -203,7 +203,7 @@ bins: max: null mid: 200.0 min: null -- eta: +- eta_abs: max: 1.0 mid: .nan min: 0.5 @@ -215,7 +215,7 @@ bins: max: null mid: 200.0 min: null -- eta: +- eta_abs: max: 1.0 mid: .nan min: 0.5 @@ -227,7 +227,7 @@ bins: max: null mid: 200.0 min: null -- eta: +- eta_abs: max: 1.0 mid: .nan min: 0.5 @@ -239,7 +239,7 @@ bins: max: null mid: 200.0 min: null -- eta: +- eta_abs: max: 1.0 mid: .nan min: 0.5 @@ -251,7 +251,7 @@ bins: max: null mid: 200.0 min: null -- eta: +- eta_abs: max: 1.0 mid: .nan min: 0.5 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/metadata.yaml index 637a7143bf..f5197d9ddd 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/metadata.yaml @@ -34,7 +34,7 @@ implemented_observables: label: '$\sqrt{s}$', units: "$GeV$", } - abs_eta: { description: "pseudorapidity", label: '$\eta$', units: "" } + abs_eta: { description: "pseudorapidity", label: '$|\eta|$', units: "" } file: kinematics.yaml data_central: data.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/uncertainties.yaml index 1b7e453a80..05ff44bb88 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/uncertainties.yaml @@ -1,12 +1,4 @@ definitions: - lumi_ue: - description: underlying event and relative luminosity uncertainty - treatment: ADD - type: STAR2009LUMI - pol: - description: polarization uncertainty - treatment: MULT - type: STAR2009POL sys_0: description: 0 artificial correlated statistical + systematics uncertainty treatment: ADD @@ -228,9 +220,7 @@ definitions: treatment: ADD type: STAR2009JETunc54 bins: -- lumi_ue: 0.0005 - pol: 0.00013000000000000002 - sys_0: -1.6815813095948376e-06 +- sys_0: -1.6815813095948376e-06 sys_1: 3.135895236790491e-06 sys_2: 3.0444062961187053e-06 sys_3: 2.6704105981460463e-06 @@ -285,9 +275,7 @@ bins: sys_52: -2.72822541876334e-05 sys_53: 3.790511732903777e-05 sys_54: -2.204899854745883e-06 -- lumi_ue: 0.0005 - pol: 0.000364 - sys_0: -3.565571410375404e-06 +- sys_0: -3.565571410375404e-06 sys_1: 5.117077226393213e-06 sys_2: 6.682942299895229e-06 sys_3: 5.9002843574510094e-06 @@ -342,9 +330,7 @@ bins: sys_52: -9.75549326891594e-06 sys_53: 2.3269397014720622e-05 sys_54: -2.9519111032082817e-07 -- lumi_ue: 0.0005 - pol: 8.45e-05 - sys_0: -1.61281455065914e-06 +- sys_0: -1.61281455065914e-06 sys_1: 3.030697509306084e-06 sys_2: 3.0110611954230385e-06 sys_3: 4.115416724063551e-06 @@ -399,9 +385,7 @@ bins: sys_52: -8.946834604885945e-06 sys_53: -0.00017651083622737145 sys_54: 1.000558779429967e-05 -- lumi_ue: 0.0005 - pol: 0.00032500000000000004 - sys_0: -1.8407413602049194e-06 +- sys_0: -1.8407413602049194e-06 sys_1: 3.5086294377477786e-06 sys_2: 5.105734557078875e-06 sys_3: 4.622346972429554e-06 @@ -456,9 +440,7 @@ bins: sys_52: 1.4575479199335405e-05 sys_53: 0.00010787871513080272 sys_54: -1.1337620075822083e-06 -- lumi_ue: 0.0005 - pol: 0.000351 - sys_0: -4.52021480347908e-06 +- sys_0: -4.52021480347908e-06 sys_1: 6.6564565049703376e-06 sys_2: 1.0912861487887639e-05 sys_3: 1.2078608380689273e-05 @@ -513,9 +495,7 @@ bins: sys_52: 8.844632910624363e-06 sys_53: 3.1561356848547454e-05 sys_54: 2.2608316533250084e-07 -- lumi_ue: 0.0005 - pol: 0.000741 - sys_0: -8.756422781750881e-06 +- sys_0: -8.756422781750881e-06 sys_1: 1.170440227023131e-05 sys_2: 2.2889580686086998e-05 sys_3: 2.3952928171559695e-05 @@ -570,9 +550,7 @@ bins: sys_52: 2.487064666094441e-05 sys_53: 1.8255215937668907e-05 sys_54: 1.794373103684562e-06 -- lumi_ue: 0.0005 - pol: 0.0007475 - sys_0: -2.1732611873487286e-05 +- sys_0: -2.1732611873487286e-05 sys_1: 2.6253844886658937e-05 sys_2: 4.8205398802713783e-05 sys_3: 5.456978804540457e-05 @@ -627,9 +605,7 @@ bins: sys_52: 3.996705535110993e-05 sys_53: 1.103337030978199e-05 sys_54: 2.79909789128746e-06 -- lumi_ue: 0.0005 - pol: 0.000858 - sys_0: -5.7180392921169035e-05 +- sys_0: -5.7180392921169035e-05 sys_1: 8.263942734600955e-05 sys_2: 0.00012943581545866038 sys_3: 0.00016665874702259553 @@ -684,9 +660,7 @@ bins: sys_52: 2.5017894874311166e-05 sys_53: 1.535075168094847e-06 sys_54: 1.794035988279641e-06 -- lumi_ue: 0.0005 - pol: 0.0013455000000000001 - sys_0: -0.00019424520482539109 +- sys_0: -0.00019424520482539109 sys_1: 0.0003075116114880381 sys_2: 0.00038046984104447455 sys_3: 0.0006171668263760231 @@ -741,9 +715,7 @@ bins: sys_52: -1.4509332283946532e-06 sys_53: -6.6374392731381365e-06 sys_54: -1.0632760317774837e-06 -- lumi_ue: 0.0005 - pol: 0.002119 - sys_0: -0.0006617526466528271 +- sys_0: -0.0006617526466528271 sys_1: 0.0012401151252857446 sys_2: 0.0016160729058729542 sys_3: 0.016310751543155446 @@ -798,9 +770,7 @@ bins: sys_52: -7.5685984890394495e-06 sys_53: -6.810563298345871e-06 sys_54: -6.730488466504003e-06 -- lumi_ue: 0.0005 - pol: 0.002158 - sys_0: -0.002323760161340845 +- sys_0: -0.002323760161340845 sys_1: 0.029963477140346452 sys_2: -0.0011920788362439745 sys_3: -0.0006810916596646526 @@ -855,9 +825,7 @@ bins: sys_52: -2.990909124558309e-06 sys_53: -2.7518909580707517e-06 sys_54: -4.64511843266615e-06 -- lumi_ue: 0.0005 - pol: 0.000117 - sys_0: -1.7528273560955859e-06 +- sys_0: -1.7528273560955859e-06 sys_1: 1.7358653335865935e-06 sys_2: 3.3987748464787367e-06 sys_3: 3.0002444025136713e-06 @@ -912,9 +880,7 @@ bins: sys_52: 3.5277438928208386e-06 sys_53: -3.922693455229976e-06 sys_54: 1.155137891162881e-06 -- lumi_ue: 0.0005 - pol: 0.00026000000000000003 - sys_0: -2.1225227356543143e-06 +- sys_0: -2.1225227356543143e-06 sys_1: 5.755696701429583e-06 sys_2: 5.5463910213605755e-06 sys_3: 4.929651925845142e-06 @@ -969,9 +935,7 @@ bins: sys_52: 4.081671517430523e-06 sys_53: 2.20167678099804e-06 sys_54: 1.4381466598294058e-06 -- lumi_ue: 0.0005 - pol: 0.0003835 - sys_0: -3.5693042347555235e-06 +- sys_0: -3.5693042347555235e-06 sys_1: 5.129374194132518e-06 sys_2: 6.718052006157451e-06 sys_3: 6.012716996989462e-06 @@ -1026,9 +990,7 @@ bins: sys_52: 7.46296932922705e-05 sys_53: 1.0819209568389375e-05 sys_54: 1.6442472345123423e-05 -- lumi_ue: 0.0005 - pol: 0.0001755 - sys_0: -2.081646241989143e-06 +- sys_0: -2.081646241989143e-06 sys_1: 2.136155486137954e-06 sys_2: 6.020019211616544e-06 sys_3: 3.5137255025922627e-06 @@ -1083,9 +1045,7 @@ bins: sys_52: 3.846659296327778e-05 sys_53: -3.0101360026382423e-05 sys_54: 8.707078299613975e-06 -- lumi_ue: 0.0005 - pol: 0.0004485 - sys_0: -5.184126709819154e-06 +- sys_0: -5.184126709819154e-06 sys_1: 4.963078030169351e-06 sys_2: 5.194933560524388e-06 sys_3: 7.285631826240483e-06 @@ -1140,9 +1100,7 @@ bins: sys_52: 1.916292922244805e-05 sys_53: -1.0854053906487877e-05 sys_54: 4.0839301591071e-06 -- lumi_ue: 0.0005 - pol: 0.0005655 - sys_0: -3.7200216807568606e-06 +- sys_0: -3.7200216807568606e-06 sys_1: 7.293744242906698e-06 sys_2: 1.4120482879297658e-05 sys_3: 1.3449251818660538e-05 @@ -1197,9 +1155,7 @@ bins: sys_52: 1.4364761153745503e-05 sys_53: 1.7432978291364534e-06 sys_54: 2.004257241137291e-06 -- lumi_ue: 0.0005 - pol: 0.000975 - sys_0: -1.5617234504439125e-05 +- sys_0: -1.5617234504439125e-05 sys_1: 2.0912566748554055e-05 sys_2: 3.692789551711395e-05 sys_3: 4.1168778294445686e-05 @@ -1254,9 +1210,7 @@ bins: sys_52: 1.5824591228734433e-05 sys_53: 3.991394714317471e-06 sys_54: 1.2466275055350114e-06 -- lumi_ue: 0.0005 - pol: 0.0012675 - sys_0: -4.0508939063109485e-05 +- sys_0: -4.0508939063109485e-05 sys_1: 5.072784330802925e-05 sys_2: 9.662324917837414e-05 sys_3: 0.00014492208232847985 @@ -1311,9 +1265,7 @@ bins: sys_52: 4.241420316436655e-06 sys_53: -1.961214950387269e-06 sys_54: 1.9132508885647127e-06 -- lumi_ue: 0.0005 - pol: 0.0021645 - sys_0: -0.00011955383881854172 +- sys_0: -0.00011955383881854172 sys_1: 0.0002101907323503664 sys_2: 0.00032474930865977676 sys_3: 0.000738050744649477 @@ -1368,9 +1320,7 @@ bins: sys_52: -7.169697857358862e-06 sys_53: -5.811588290816765e-06 sys_54: 1.062755819240843e-06 -- lumi_ue: 0.0005 - pol: 0.0028405 - sys_0: -0.00047076105451365036 +- sys_0: -0.00047076105451365036 sys_1: 0.0014526378560851439 sys_2: 0.02233518479250741 sys_3: -0.001266350427591967 @@ -1425,9 +1375,7 @@ bins: sys_52: -5.37192147995637e-06 sys_53: -3.6939471220217518e-06 sys_54: -1.2740851741168651e-06 -- lumi_ue: 0.0005 - pol: 0.0003575 - sys_0: -0.0437806352349467 +- sys_0: -0.0437806352349467 sys_1: -0.0016494136220161217 sys_2: -0.0002124625432134228 sys_3: -0.00021644949663639752 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/uncertainties.yaml index d614af1a44..ace19c9ccd 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/uncertainties.yaml @@ -3,14 +3,6 @@ definitions: description: statistical uncertainty treatment: ADD type: UNCORR - lumi_ue: - description: underlying event and relative luminosity uncertainty - treatment: ADD - type: STAR2009LUMIUE - pol: - description: polarization uncertainty - treatment: MULT - type: STAR2009POL sys_0: description: 0 artificial correlated systematics uncertainty treatment: ADD @@ -233,8 +225,6 @@ definitions: type: STAR2009JETunc54 bins: - stat: 0.007 - lumi_ue: 0.0005 - pol: 0.0001235 sys_0: -2.9341441875924853e-09 sys_1: 5.662769814057847e-09 sys_2: 3.947516339994088e-08 @@ -291,8 +281,6 @@ bins: sys_53: -1.338375509238332e-05 sys_54: -1.8477958927331985e-06 - stat: 0.007 - lumi_ue: 0.0005 - pol: -0.0004485 sys_0: -5.89864323557035e-09 sys_1: 1.1973393934428427e-08 sys_2: 7.77965450612318e-08 @@ -349,8 +337,6 @@ bins: sys_53: -1.9343984302625813e-05 sys_54: 3.5154212080782464e-07 - stat: 0.01 - lumi_ue: 0.0005 - pol: 0.001378 sys_0: -6.415581388921306e-09 sys_1: 1.409642897031362e-08 sys_2: 7.746596134549398e-08 @@ -407,8 +393,6 @@ bins: sys_53: -0.00018765877295429063 sys_54: -1.0501767095327602e-05 - stat: 0.019 - lumi_ue: 0.0005 - pol: 0.0027949999999999997 sys_0: -5.059630706571177e-08 sys_1: 1.2790135144982453e-07 sys_2: 6.01176495734771e-07 @@ -465,8 +449,6 @@ bins: sys_53: -1.4473789093860536e-05 sys_54: -1.744460748470315e-07 - stat: 0.05 - lumi_ue: 0.0005 - pol: 0.00507 sys_0: -2.4232685952842607e-07 sys_1: 1.0157362580817375e-06 sys_2: 1.7156500786764186e-05 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/uncertainties.yaml index 6fd70788e3..3f7c426fec 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/uncertainties.yaml @@ -3,14 +3,6 @@ definitions: description: statistical uncertainty treatment: ADD type: UNCORR - lumi_ue: - description: underlying event and relative luminosity uncertainty - treatment: ADD - type: STAR2009LUMIUE - pol: - description: polarization uncertainty - treatment: MULT - type: STAR2009POL sys_0: description: 0 artificial correlated systematics uncertainty treatment: ADD @@ -233,8 +225,6 @@ definitions: type: STAR2009JETunc54 bins: - stat: 0.011 - lumi_ue: 0.0005 - pol: -0.001157 sys_0: -4.317226197359961e-06 sys_1: 2.804090271238005e-06 sys_2: 1.533190350417471e-05 @@ -291,8 +281,6 @@ bins: sys_53: 2.9019923821037516e-05 sys_54: 1.2745340133222563e-06 - stat: 0.005 - lumi_ue: 0.0005 - pol: 0.000377 sys_0: -5.884903801804573e-05 sys_1: 5.801735835150301e-05 sys_2: 0.00011332689636974533 @@ -349,8 +337,6 @@ bins: sys_53: 0.00051937351259702 sys_54: -0.00036216568701533277 - stat: 0.004 - lumi_ue: 0.0005 - pol: 0.000312 sys_0: -5.507588305445084e-09 sys_1: 1.0422018848183888e-08 sys_2: 7.492745940520344e-08 @@ -407,8 +393,6 @@ bins: sys_53: -0.0002080613662468662 sys_54: -4.071863554111754e-06 - stat: 0.004 - lumi_ue: 0.0005 - pol: 0.0001105 sys_0: -5.8862909005794415e-09 sys_1: 1.2100437882802023e-08 sys_2: 7.449799394325233e-08 @@ -465,8 +449,6 @@ bins: sys_53: 0.00010281804050324829 sys_54: 1.5989602302143824e-06 - stat: 0.006 - lumi_ue: 0.0005 - pol: -0.000507 sys_0: -1.1948431354375845e-08 sys_1: 3.0725225774569505e-08 sys_2: 1.312113102857246e-07 @@ -523,8 +505,6 @@ bins: sys_53: -9.456304860268702e-05 sys_54: -1.5931049017313595e-06 - stat: 0.008 - lumi_ue: 0.0005 - pol: 0.0006435000000000001 sys_0: -6.901268308944533e-08 sys_1: 2.527111324707297e-07 sys_2: 3.2856289314680365e-06 @@ -581,8 +561,6 @@ bins: sys_53: -3.188310734160565e-05 sys_54: -1.3725732071673286e-07 - stat: 0.03 - lumi_ue: 0.0005 - pol: 0.0007800000000000001 sys_0: -7.869315895733471e-06 sys_1: 2.713017354609144e-06 sys_2: 5.815729290616714e-05 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/uncertainties.yaml index ee8ba234fd..4fefae556b 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/uncertainties.yaml @@ -3,14 +3,6 @@ definitions: description: statistical uncertainty treatment: ADD type: UNCORR - lumi_ue: - description: underlying event and relative luminosity uncertainty - treatment: ADD - type: STAR2009LUMIUE - pol: - description: polarization uncertainty - treatment: MULT - type: STAR2009POL sys_0: description: 0 artificial correlated systematics uncertainty treatment: ADD @@ -233,8 +225,6 @@ definitions: type: STAR2009JETunc54 bins: - stat: 0.005 - lumi_ue: 0.0005 - pol: -0.000221 sys_0: -1.6474452057447053e-05 sys_1: 9.040581896830352e-06 sys_2: 4.939301509717896e-05 @@ -291,8 +281,6 @@ bins: sys_53: 4.8322028300353735e-05 sys_54: -8.91251641089161e-06 - stat: 0.004 - lumi_ue: 0.0005 - pol: 0.0008515 sys_0: -7.579309266019555e-05 sys_1: 8.447972227411008e-05 sys_2: 3.7685066658696415e-05 @@ -349,8 +337,6 @@ bins: sys_53: 0.00028783257955775033 sys_54: 0.0014311795851842514 - stat: 0.004 - lumi_ue: 0.0005 - pol: 0.0001755 sys_0: -1.8762642251501937e-09 sys_1: 3.276722365520518e-09 sys_2: 2.664323373190657e-08 @@ -407,8 +393,6 @@ bins: sys_53: 1.2846016161625068e-05 sys_54: -3.979748473480607e-07 - stat: 0.006 - lumi_ue: 0.0005 - pol: 0.000429 sys_0: -5.230393648390167e-09 sys_1: 9.685571349990864e-09 sys_2: 7.13083002753033e-08 @@ -465,8 +449,6 @@ bins: sys_53: 0.0013090275115244018 sys_54: -0.00018158932078184587 - stat: 0.01 - lumi_ue: 0.0005 - pol: 0.0013585 sys_0: -1.0615455135826602e-08 sys_1: 2.43565277357043e-08 sys_2: 1.3082616706064876e-07 @@ -523,8 +505,6 @@ bins: sys_53: -5.966696302632403e-05 sys_54: 1.3121741007973295e-06 - stat: 0.016 - lumi_ue: 0.0005 - pol: 0.000715 sys_0: -6.674311553948635e-08 sys_1: 2.697782974960404e-07 sys_2: 4.625984158618274e-06 @@ -581,8 +561,6 @@ bins: sys_53: -1.4471039490052424e-05 sys_54: 6.118109563228437e-07 - stat: 0.09 - lumi_ue: 0.0005 - pol: 0.002015 sys_0: -6.382584535818189e-06 sys_1: 1.0096067398392718e-06 sys_2: 3.330969685392803e-05 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_OS_200GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_OS_200GEV/uncertainties.yaml index 434c52b454..02767a2758 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_OS_200GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_OS_200GEV/uncertainties.yaml @@ -3,10 +3,6 @@ definitions: description: statistical uncertainty treatment: ADD type: UNCORR - lumi_ue: - description: underlying event and relative luminosity uncertainty - treatment: ADD - type: STAR2009LUMIUE pol: description: polarization uncertainty treatment: MULT @@ -233,7 +229,6 @@ definitions: type: STAR2009JETunc54 bins: - stat: 0.0039 - lumi_ue: 0.0005 pol: 0.0003835 sys_0: -2.4909807848076024e-09 sys_1: 1.0306276400047151e-08 @@ -291,7 +286,6 @@ bins: sys_53: -3.1956730705631123e-06 sys_54: 8.925434186554094e-07 - stat: 0.0032 - lumi_ue: 0.0005 pol: 0.000624 sys_0: -5.399208818729837e-09 sys_1: 2.106015380160125e-08 @@ -349,7 +343,6 @@ bins: sys_53: 5.398687096072461e-06 sys_54: 1.1006575438375338e-06 - stat: 0.0037 - lumi_ue: 0.0005 pol: 0.000442 sys_0: -1.3873223784397754e-08 sys_1: 4.574933734784567e-08 @@ -407,7 +400,6 @@ bins: sys_53: 6.3501830570232405e-06 sys_54: 1.8230448120602087e-06 - stat: 0.005 - lumi_ue: 0.0005 pol: 0.0009815000000000002 sys_0: -1.224498053657377e-07 sys_1: 1.2446185563927494e-06 @@ -465,7 +457,6 @@ bins: sys_53: 9.979986784457061e-06 sys_54: 2.7259451131805867e-06 - stat: 0.0077 - lumi_ue: 0.0005 pol: 0.0005395 sys_0: -4.464585764699799e-06 sys_1: 7.515486287618491e-06 @@ -523,7 +514,6 @@ bins: sys_53: 6.114896621832628e-06 sys_54: 4.106894880501085e-06 - stat: 0.0109 - lumi_ue: 0.0005 pol: 0.000598 sys_0: -4.8651532448888784e-05 sys_1: 0.00011184863084290111 @@ -581,7 +571,6 @@ bins: sys_53: 3.436424253953748e-05 sys_54: 1.733884802347807e-05 - stat: 0.034 - lumi_ue: 0.0005 pol: -0.001833 sys_0: -0.00047294389784732977 sys_1: 0.000889086372938183 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_SS_200GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_SS_200GEV/uncertainties.yaml index bc1f0b4291..f84280586b 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_SS_200GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_SS_200GEV/uncertainties.yaml @@ -3,10 +3,6 @@ definitions: description: statistical uncertainty treatment: ADD type: UNCORR - lumi_ue: - description: underlying event and relative luminosity uncertainty - treatment: ADD - type: STAR2009LUMIUE pol: description: polarization uncertainty treatment: MULT @@ -233,7 +229,6 @@ definitions: type: STAR2009JETunc54 bins: - stat: 0.0034 - lumi_ue: 0.0005 pol: 0.0004355 sys_0: -1.274586879789524e-09 sys_1: 5.120321055524734e-09 @@ -291,7 +286,6 @@ bins: sys_53: -1.7999739025718109e-06 sys_54: 8.495918057916394e-07 - stat: 0.0032 - lumi_ue: 0.0005 pol: 0.000572 sys_0: -3.6587585471182742e-09 sys_1: 1.2867903197577332e-08 @@ -349,7 +343,6 @@ bins: sys_53: 4.70309896667795e-06 sys_54: 8.843608116711028e-07 - stat: 0.0039 - lumi_ue: 0.0005 pol: 0.001053 sys_0: -2.2418452806231772e-08 sys_1: 8.56576330626395e-08 @@ -407,7 +400,6 @@ bins: sys_53: 5.313311141396147e-06 sys_54: 1.3627906934601516e-06 - stat: 0.0056 - lumi_ue: 0.0005 pol: 0.000156 sys_0: -1.202385957826787e-06 sys_1: 2.444051286185078e-06 @@ -465,7 +457,6 @@ bins: sys_53: 1.1614574371297151e-05 sys_54: 2.9061112984790858e-06 - stat: 0.0089 - lumi_ue: 0.0005 pol: 0.0008449999999999999 sys_0: -6.892063114839857e-06 sys_1: 1.2152085596139124e-05 @@ -523,7 +514,6 @@ bins: sys_53: -0.000176896602349904 sys_54: -6.238930518606783e-05 - stat: 0.0133 - lumi_ue: 0.0005 pol: 0.0021839999999999997 sys_0: -8.139536176397123e-05 sys_1: 0.00015709281529534093 @@ -581,7 +571,6 @@ bins: sys_53: 3.3976525227495266e-05 sys_54: 1.9371823289380078e-05 - stat: 0.046 - lumi_ue: 0.0005 pol: 0.0049075 sys_0: -0.0004911530256875754 sys_1: 0.0010960053747405697 From 7241f99e2840faf6817dfcee164267452572ff62 Mon Sep 17 00:00:00 2001 From: giacomomagni Date: Mon, 6 May 2024 15:10:30 +0200 Subject: [PATCH 24/70] minor fixes on syntax --- .../filter_utils/star/jet_dijet_2009_200gev.py | 18 +++++++++--------- 1 file changed, 9 insertions(+), 9 deletions(-) diff --git a/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2009_200gev.py b/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2009_200gev.py index 2621d62c62..89287134b2 100644 --- a/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2009_200gev.py +++ b/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2009_200gev.py @@ -1,4 +1,4 @@ -"""This script provides the common filer to the jet and dijet STAR 2012 datasets. +"""This script provides the common filer to the jet and dijet STAR 2009 datasets. Files need to be parsed all together as there are correlations provided. """ @@ -36,10 +36,10 @@ def read_1jet_data(): elif "ALL" in fname: df3["ALL"] = dfi["$A_{LL}$"] - df3["stat_min"] = dfi["stat +"] - df3["stat_max"] = dfi["stat -"] - df3["sys_min"] = dfi["sys +"] - df3["sys_max"] = dfi["sys -"] + df3["stat_min"] = dfi["stat -"] + df3["stat_max"] = dfi["stat +"] + df3["sys_min"] = dfi["sys -"] + df3["sys_max"] = dfi["sys +"] df3["abs_eta_min"] = 0.0 df3["abs_eta_max"] = 0.5 @@ -53,10 +53,10 @@ def read_1jet_data(): if "ALL" in fname: df4["ALL"] = dfi["$A_{LL}$"] - df4["stat_min"] = dfi["stat +"] - df4["stat_max"] = dfi["stat -"] - df4["sys_min"] = dfi["sys +"] - df4["sys_max"] = dfi["sys -"] + df3["stat_min"] = dfi["stat -"] + df3["stat_max"] = dfi["stat +"] + df3["sys_min"] = dfi["sys -"] + df3["sys_max"] = dfi["sys +"] df4["abs_eta_min"] = 0.5 df4["abs_eta_max"] = 1.0 From 65a2728e780745c046541cc693fded7f8a9b7511 Mon Sep 17 00:00:00 2001 From: giacomomagni Date: Mon, 6 May 2024 18:02:40 +0200 Subject: [PATCH 25/70] fix kinematic label --- .../star/jet_dijet_2009_200gev.py | 2 +- .../STAR_2009_1JET_200GEV/kinematics.yaml | 44 +++++++++---------- 2 files changed, 23 insertions(+), 23 deletions(-) diff --git a/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2009_200gev.py b/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2009_200gev.py index 89287134b2..80737e8f85 100644 --- a/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2009_200gev.py +++ b/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2009_200gev.py @@ -158,7 +158,7 @@ def write_1jet_data(df, art_sys): kin_value = { "pT": {"min": None, "mid": float(df.loc[i, "pT"]), "max": None}, "sqrts": {"min": None, "mid": float(df.loc[i, "sqrts"]), "max": None}, - "eta_abs": { + "abs_eta": { "min": float(df.loc[i, "abs_eta_min"]), "mid": float(df.loc[i, "abs_eta"]), "max": float(df.loc[i, "abs_eta_max"]), diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/kinematics.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/kinematics.yaml index 2ccd4e689d..1fbf402f69 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/kinematics.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/kinematics.yaml @@ -1,5 +1,5 @@ bins: -- eta_abs: +- abs_eta: max: 0.5 mid: 0.25 min: 0.0 @@ -11,7 +11,7 @@ bins: max: null mid: 200.0 min: null -- eta_abs: +- abs_eta: max: 0.5 mid: 0.25 min: 0.0 @@ -23,7 +23,7 @@ bins: max: null mid: 200.0 min: null -- eta_abs: +- abs_eta: max: 0.5 mid: 0.25 min: 0.0 @@ -35,7 +35,7 @@ bins: max: null mid: 200.0 min: null -- eta_abs: +- abs_eta: max: 0.5 mid: 0.25 min: 0.0 @@ -47,7 +47,7 @@ bins: max: null mid: 200.0 min: null -- eta_abs: +- abs_eta: max: 0.5 mid: 0.25 min: 0.0 @@ -59,7 +59,7 @@ bins: max: null mid: 200.0 min: null -- eta_abs: +- abs_eta: max: 0.5 mid: 0.25 min: 0.0 @@ -71,7 +71,7 @@ bins: max: null mid: 200.0 min: null -- eta_abs: +- abs_eta: max: 0.5 mid: 0.25 min: 0.0 @@ -83,7 +83,7 @@ bins: max: null mid: 200.0 min: null -- eta_abs: +- abs_eta: max: 0.5 mid: 0.25 min: 0.0 @@ -95,7 +95,7 @@ bins: max: null mid: 200.0 min: null -- eta_abs: +- abs_eta: max: 0.5 mid: 0.25 min: 0.0 @@ -107,7 +107,7 @@ bins: max: null mid: 200.0 min: null -- eta_abs: +- abs_eta: max: 0.5 mid: 0.25 min: 0.0 @@ -119,7 +119,7 @@ bins: max: null mid: 200.0 min: null -- eta_abs: +- abs_eta: max: 0.5 mid: 0.25 min: 0.0 @@ -131,7 +131,7 @@ bins: max: null mid: 200.0 min: null -- eta_abs: +- abs_eta: max: 1.0 mid: .nan min: 0.5 @@ -143,7 +143,7 @@ bins: max: null mid: 200.0 min: null -- eta_abs: +- abs_eta: max: 1.0 mid: .nan min: 0.5 @@ -155,7 +155,7 @@ bins: max: null mid: 200.0 min: null -- eta_abs: +- abs_eta: max: 1.0 mid: .nan min: 0.5 @@ -167,7 +167,7 @@ bins: max: null mid: 200.0 min: null -- eta_abs: +- abs_eta: max: 1.0 mid: .nan min: 0.5 @@ -179,7 +179,7 @@ bins: max: null mid: 200.0 min: null -- eta_abs: +- abs_eta: max: 1.0 mid: .nan min: 0.5 @@ -191,7 +191,7 @@ bins: max: null mid: 200.0 min: null -- eta_abs: +- abs_eta: max: 1.0 mid: .nan min: 0.5 @@ -203,7 +203,7 @@ bins: max: null mid: 200.0 min: null -- eta_abs: +- abs_eta: max: 1.0 mid: .nan min: 0.5 @@ -215,7 +215,7 @@ bins: max: null mid: 200.0 min: null -- eta_abs: +- abs_eta: max: 1.0 mid: .nan min: 0.5 @@ -227,7 +227,7 @@ bins: max: null mid: 200.0 min: null -- eta_abs: +- abs_eta: max: 1.0 mid: .nan min: 0.5 @@ -239,7 +239,7 @@ bins: max: null mid: 200.0 min: null -- eta_abs: +- abs_eta: max: 1.0 mid: .nan min: 0.5 @@ -251,7 +251,7 @@ bins: max: null mid: 200.0 min: null -- eta_abs: +- abs_eta: max: 1.0 mid: .nan min: 0.5 From 6b15c86a1f4e4c892a565a59138c3b8147e75792 Mon Sep 17 00:00:00 2001 From: toonhasenack Date: Tue, 7 May 2024 18:24:04 +0200 Subject: [PATCH 26/70] fixed STAR2015 polarised error --- .../star/jet_dijet_2015_200gev.py | 34 +- .../STAR_2015_1JET_200GEV/uncertainties.yaml | 1620 ++++++++--------- .../uncertainties.yaml | 504 ++--- .../uncertainties.yaml | 502 ++--- 4 files changed, 1322 insertions(+), 1338 deletions(-) diff --git a/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2015_200gev.py b/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2015_200gev.py index 24bd837143..2f3ca569da 100644 --- a/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2015_200gev.py +++ b/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2015_200gev.py @@ -1,27 +1,20 @@ """This script provides the common filer to the jet and dijet STAR 2015 datasets. -Files need to be parsed all together as there are correlations provided. +Files need to be parsed all together as there are correlations provided. """ + import pathlib import numpy as np import pandas as pd import yaml -from nnpdf_data.filter_utils.correlations import ( - compute_covmat, - upper_triangular_to_symmetric, -) +from nnpdf_data.filter_utils.correlations import compute_covmat, upper_triangular_to_symmetric # values from the paper SQRTS = 200 YEAR = 2015 # mapping between topologies, tables and abs_eta values -TOPOPLOGY_LIST = { - "CC": ("bottom", 0, 0.5), - "CF": ("top", 0.5, 1.0), - "OS": "bottom", - "SS": "top", -} +TOPOPLOGY_LIST = {"CC": ("bottom", 0, 0.5), "CF": ("top", 0.5, 1.0), "OS": "bottom", "SS": "top"} # mapping between correlations blocks and tables MAP_CORR_TABLE = { @@ -48,9 +41,7 @@ def read_1jet_data(topology): data_table = pathlib.Path(RAWDATA_PATH / f"Table1{table_label}.csv") with open(data_table, "r", encoding="utf-8") as file: - parton_jet_data = pd.read_csv( - file, delimiter=",", skiprows=lambda x: (x <= 6 or x >= 20) - ) + parton_jet_data = pd.read_csv(file, delimiter=",", skiprows=lambda x: (x <= 6 or x >= 20)) with open(data_table, "r", encoding="utf-8") as file: all_data = pd.read_csv(file, delimiter=",", skiprows=21) @@ -68,7 +59,7 @@ def read_1jet_data(topology): df["stat"] = all_data["Stat +"] df["syst"] = all_data["Syst +"] df["lumi"] = all_data["Lumi +"] - df["pol"] = [float(a[:-1]) for a in all_data["Pol +"]] * df["ALL"] + df["pol"] = [float(a[:-1]) for a in all_data["Pol +"]] * df["ALL"] / 100 print(f"1JET {topology} data loaded. Npoint: ", len(df)) return df @@ -78,9 +69,7 @@ def read_2jet_data(topology): table_label = TOPOPLOGY_LIST[topology] data_table = RAWDATA_PATH / f"Table2{table_label}.csv" with open(data_table, "r", encoding="utf-8") as file: - mjj_data = pd.read_csv( - file, delimiter=",", skiprows=lambda x: (x <= 6 or x >= 16) - ) + mjj_data = pd.read_csv(file, delimiter=",", skiprows=lambda x: (x <= 6 or x >= 16)) with open(data_table, "r", encoding="utf-8") as file: all_data = pd.read_csv(file, delimiter=",", skiprows=27) @@ -116,8 +105,7 @@ def read_correlations(ndata_dict): try: idx = MAP_CORR_TABLE[(a, b)] with open( - RAWDATA_PATH / f"Table{idx}SupplementalMaterial.csv", - encoding="utf-8", + RAWDATA_PATH / f"Table{idx}SupplementalMaterial.csv", encoding="utf-8" ) as file: corr_df = pd.read_csv(file, delimiter=",", skiprows=7) @@ -234,11 +222,7 @@ def write_2jet_data(df, topology, art_sys): # Write unc file error = [] error_definition = { - "stat": { - "description": "statistical uncertainty", - "treatment": "ADD", - "type": "UNCORR", - }, + "stat": {"description": "statistical uncertainty", "treatment": "ADD", "type": "UNCORR"}, "lumi": { "description": "luminosity uncertainty", "treatment": "ADD", diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/uncertainties.yaml index 1f69454720..2a4d71159e 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/uncertainties.yaml @@ -152,839 +152,839 @@ definitions: treatment: ADD type: STAR2015JETunc35 bins: -- sys_0: -1.2124945963636329e-05 - sys_1: 3.99763242964474e-05 - sys_2: -2.073300487801316e-05 - sys_3: 7.834205546114172e-05 - sys_4: 3.1966508959996434e-05 - sys_5: -0.00016212580597664398 - sys_6: -3.329223918283098e-05 - sys_7: 0.0003907426485886462 - sys_8: -7.57733494001071e-05 - sys_9: -0.0012673253983827423 - sys_10: -6.583425325388493e-06 - sys_11: -0.0009992509466134449 - sys_12: -2.5990693050432402e-05 - sys_13: 9.004274285127836e-05 - sys_14: 0.00029905774861508277 - sys_15: -7.291388700896354e-05 - sys_16: -4.981686266952964e-06 - sys_17: -1.1402064553276121e-06 - sys_18: -0.0007621712345388461 - sys_19: 0.00035365632303836357 - sys_20: -0.0005674020577193097 - sys_21: -0.00015127498178572223 - sys_22: -4.645538440838408e-05 - sys_23: -0.0004750829986177542 - sys_24: -2.724483686647165e-06 - sys_25: -0.00015374802290947704 - sys_26: -2.4886388914460886e-05 - sys_27: -1.290655211071111e-05 - sys_28: -3.1585659631538674e-06 - sys_29: 1.5775767380939687e-05 - sys_30: 1.7213875527544255e-05 - sys_31: -1.395843375973772e-05 - sys_32: -1.786999568403126e-05 - sys_33: -3.0106496090811998e-05 - sys_34: -3.940821208479835e-05 - sys_35: -9.25488815805122e-07 +- sys_0: -1.2124945963638899e-05 + sys_1: 3.9976324296444724e-05 + sys_2: -2.0733004878014164e-05 + sys_3: 7.834205546115549e-05 + sys_4: 3.196650896000173e-05 + sys_5: -0.00016212580597664444 + sys_6: -3.329223918283013e-05 + sys_7: 0.00039074264858864955 + sys_8: -7.577334940010563e-05 + sys_9: -0.0012673253983827547 + sys_10: -6.5834253253902296e-06 + sys_11: -0.0009992509466134494 + sys_12: -2.599069305043419e-05 + sys_13: 9.004274285127735e-05 + sys_14: 0.0002990577486150853 + sys_15: -7.291388700896279e-05 + sys_16: -4.981686266952649e-06 + sys_17: -1.1402064553258713e-06 + sys_18: -0.0007621712345388191 + sys_19: 0.0003536563230383579 + sys_20: -0.0005674020577193189 + sys_21: -0.00015127498178577192 + sys_22: -4.6455384408380834e-05 + sys_23: -0.0004750829986177653 + sys_24: -2.7244836866484633e-06 + sys_25: -0.00015374802290948824 + sys_26: -2.4886388914476245e-05 + sys_27: -1.2906552110711854e-05 + sys_28: -3.1585659631543493e-06 + sys_29: 1.577576738094043e-05 + sys_30: 1.7213875527545438e-05 + sys_31: -1.3958433759737807e-05 + sys_32: -1.786999568403209e-05 + sys_33: -3.010649609081415e-05 + sys_34: -3.9408212084800554e-05 + sys_35: -9.254888158050854e-07 lumi: 0.0007 - pol: 0.00122 -- sys_0: -7.696816897816436e-06 - sys_1: 3.158329891762911e-05 - sys_2: -1.4276093639918046e-05 - sys_3: 6.169333966668052e-05 - sys_4: 2.1035544732149187e-05 - sys_5: -0.0001296267097279665 - sys_6: -2.469319063415189e-05 - sys_7: 0.0003323603878512561 - sys_8: -6.151316638347651e-05 - sys_9: -0.0011682933016762716 - sys_10: -1.6173817620833752e-06 - sys_11: -0.001002980672779371 - sys_12: -3.726356415949347e-05 - sys_13: 0.00015814714793294262 - sys_14: 0.0005157890356567223 - sys_15: -0.00011105294949067897 - sys_16: 2.431542171680724e-06 - sys_17: -3.259536612973891e-05 - sys_18: 0.0012116821445728556 - sys_19: -0.00012872984442436638 - sys_20: 4.6075647077754845e-05 - sys_21: 1.1874650017780699e-05 - sys_22: -6.966355590922665e-06 - sys_23: -0.0001553490815108954 - sys_24: 1.2262272658708402e-06 - sys_25: -6.50460128889597e-05 - sys_26: -9.716264579150592e-06 - sys_27: -5.408068697263476e-06 - sys_28: -1.528857585750034e-07 - sys_29: 8.889278652906262e-06 - sys_30: 9.238658643099643e-06 - 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pol: 0.0036599999999999996 -- sys_0: -8.928271882845198e-06 - sys_1: 3.2189485897211125e-05 - sys_2: -1.8072701944326597e-05 - sys_3: 6.114437754903917e-05 - sys_4: 2.905458190652082e-05 - sys_5: -0.0001231059473849797 - sys_6: -2.9432600909104633e-05 - sys_7: 0.00028115469540829197 - sys_8: -6.003952446277604e-05 - sys_9: -0.0008371018429280262 - sys_10: -6.000692453921972e-06 - sys_11: -0.0006084636977295246 - sys_12: -4.407044437745515e-06 - sys_13: 3.1165303330130325e-05 - sys_14: 0.0001264666140737965 - sys_15: -4.396380418811727e-05 - sys_16: -4.935869608986907e-06 - sys_17: -1.0752946669885328e-06 - sys_18: -0.0002135639309143538 - sys_19: 1.1497573337094799e-05 - sys_20: -1.946263805629447e-05 - sys_21: -8.55232797230304e-06 - sys_22: 5.308018139207472e-05 - sys_23: 0.00046731229352457406 - sys_24: 2.5972867462133868e-06 - sys_25: 0.0008426116190859175 - sys_26: 0.0001753080716717489 - sys_27: 9.492732198398632e-06 - sys_28: 1.3211574672996724e-05 - sys_29: 1.2007781967987451e-05 - 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pol: 0.14127599999999998 + pol: 0.0014127599999999999 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_OS_200GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_OS_200GEV/uncertainties.yaml index 5906e64bab..af678d51f5 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_OS_200GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_OS_200GEV/uncertainties.yaml @@ -156,276 +156,276 @@ definitions: treatment: ADD type: STAR2015JETunc35 bins: -- sys_0: -1.1061320396018662e-06 - sys_1: 2.1718755370553993e-06 - sys_2: -2.5830445253971692e-06 - sys_3: 3.6296783741788805e-06 - sys_4: 3.5884643423664896e-06 - sys_5: -6.340663553404027e-06 - sys_6: -2.932279047662183e-06 - sys_7: 9.301109570577263e-06 - sys_8: -5.512984728106772e-06 - sys_9: -2.0168914484542983e-05 - sys_10: -1.460838365633757e-06 - sys_11: -1.169925377265643e-05 - sys_12: 5.298324927138824e-06 - sys_13: -1.3450370231347285e-05 - sys_14: 4.62112884404096e-06 - 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sys_32: -3.378806930895894e-07 - sys_33: 2.2001974670195147e-06 - sys_34: -7.33634436311964e-07 - sys_35: -5.440401898597821e-06 +- sys_0: -0.000388010599675008 + sys_1: 0.0008640577953892642 + sys_2: -0.0001822661645697009 + sys_3: 0.0004948026664088063 + sys_4: -1.1974979766117766e-05 + sys_5: -4.236222645377295e-05 + sys_6: 2.4144845967006375e-05 + sys_7: -4.01755166736122e-05 + sys_8: -1.4822330889113779e-05 + sys_9: 2.1646542285667626e-05 + sys_10: -0.0031093657822061278 + sys_11: 1.1480090486317943e-06 + sys_12: -1.6568127898619448e-05 + sys_13: 7.117750166471685e-06 + sys_14: 5.79700518677154e-06 + sys_15: 1.5795616706962763e-05 + sys_16: -0.00019544597017715957 + sys_17: -2.698740213896772e-06 + sys_18: 3.918585153982622e-06 + sys_19: 3.74275098090469e-06 + sys_20: 9.250134750067683e-06 + sys_21: -4.4099092014109344e-05 + sys_22: -1.8878824597274617e-06 + sys_23: -8.699164389319797e-07 + sys_24: 2.420494314996309e-05 + sys_25: -3.715661520176191e-06 + sys_26: 1.749179619738466e-05 + sys_27: 3.5347304839725723e-07 + sys_28: 1.349183196534462e-07 + sys_29: -7.779631996595798e-08 + sys_30: 6.633292161656212e-07 + sys_31: 1.0549760343094488e-06 + sys_32: -3.3788069308952495e-07 + sys_33: 2.2001974670194707e-06 + sys_34: -7.336344363120756e-07 + sys_35: -5.4404018985978565e-06 stat: 0.0418 lumi: 0.0007 pol: 0.13908 From 8218129f8d519951949feb125c24597446012265 Mon Sep 17 00:00:00 2001 From: giacomomagni Date: Wed, 8 May 2024 09:38:57 +0200 Subject: [PATCH 27/70] apply same fix also to dijet --- .../star/jet_dijet_2015_200gev.py | 31 +- .../STAR_2015_1JET_200GEV/uncertainties.yaml | 1576 ++++++++--------- .../uncertainties.yaml | 518 +++--- .../uncertainties.yaml | 516 +++--- 4 files changed, 1329 insertions(+), 1312 deletions(-) diff --git a/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2015_200gev.py b/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2015_200gev.py index 2f3ca569da..54eff99e2b 100644 --- a/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2015_200gev.py +++ b/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2015_200gev.py @@ -8,13 +8,21 @@ import pandas as pd import yaml -from nnpdf_data.filter_utils.correlations import compute_covmat, upper_triangular_to_symmetric +from nnpdf_data.filter_utils.correlations import ( + compute_covmat, + upper_triangular_to_symmetric, +) # values from the paper SQRTS = 200 YEAR = 2015 # mapping between topologies, tables and abs_eta values -TOPOPLOGY_LIST = {"CC": ("bottom", 0, 0.5), "CF": ("top", 0.5, 1.0), "OS": "bottom", "SS": "top"} +TOPOPLOGY_LIST = { + "CC": ("bottom", 0, 0.5), + "CF": ("top", 0.5, 1.0), + "OS": "bottom", + "SS": "top", +} # mapping between correlations blocks and tables MAP_CORR_TABLE = { @@ -41,7 +49,9 @@ def read_1jet_data(topology): data_table = pathlib.Path(RAWDATA_PATH / f"Table1{table_label}.csv") with open(data_table, "r", encoding="utf-8") as file: - parton_jet_data = pd.read_csv(file, delimiter=",", skiprows=lambda x: (x <= 6 or x >= 20)) + parton_jet_data = pd.read_csv( + file, delimiter=",", skiprows=lambda x: (x <= 6 or x >= 20) + ) with open(data_table, "r", encoding="utf-8") as file: all_data = pd.read_csv(file, delimiter=",", skiprows=21) @@ -69,7 +79,9 @@ def read_2jet_data(topology): table_label = TOPOPLOGY_LIST[topology] data_table = RAWDATA_PATH / f"Table2{table_label}.csv" with open(data_table, "r", encoding="utf-8") as file: - mjj_data = pd.read_csv(file, delimiter=",", skiprows=lambda x: (x <= 6 or x >= 16)) + mjj_data = pd.read_csv( + file, delimiter=",", skiprows=lambda x: (x <= 6 or x >= 16) + ) with open(data_table, "r", encoding="utf-8") as file: all_data = pd.read_csv(file, delimiter=",", skiprows=27) @@ -82,7 +94,7 @@ def read_2jet_data(topology): df["stat"] = all_data["Stat +"] df["syst"] = all_data["Syst +"] df["lumi"] = all_data["Lumi +"] - df["pol"] = [float(a[:-1]) for a in all_data["Pol +"]] * df["ALL"] + df["pol"] = [float(a[:-1]) for a in all_data["Pol +"]] * df["ALL"] / 100 print(f"2JET {topology} data loaded. Npoint: ", len(df)) return df @@ -105,7 +117,8 @@ def read_correlations(ndata_dict): try: idx = MAP_CORR_TABLE[(a, b)] with open( - RAWDATA_PATH / f"Table{idx}SupplementalMaterial.csv", encoding="utf-8" + RAWDATA_PATH / f"Table{idx}SupplementalMaterial.csv", + encoding="utf-8", ) as file: corr_df = pd.read_csv(file, delimiter=",", skiprows=7) @@ -222,7 +235,11 @@ def write_2jet_data(df, topology, art_sys): # Write unc file error = [] error_definition = { - "stat": {"description": "statistical uncertainty", "treatment": "ADD", "type": "UNCORR"}, + "stat": { + "description": "statistical uncertainty", + "treatment": "ADD", + "type": "UNCORR", + }, "lumi": { "description": "luminosity uncertainty", "treatment": "ADD", diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/uncertainties.yaml index 2a4d71159e..60b5034dc8 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/uncertainties.yaml @@ -152,839 +152,839 @@ definitions: treatment: ADD type: STAR2015JETunc35 bins: -- sys_0: -1.2124945963638899e-05 - sys_1: 3.9976324296444724e-05 - sys_2: -2.0733004878014164e-05 - sys_3: 7.834205546115549e-05 - sys_4: 3.196650896000173e-05 - sys_5: -0.00016212580597664444 - sys_6: -3.329223918283013e-05 - sys_7: 0.00039074264858864955 - sys_8: -7.577334940010563e-05 - sys_9: -0.0012673253983827547 - sys_10: -6.5834253253902296e-06 - sys_11: -0.0009992509466134494 - sys_12: -2.599069305043419e-05 - sys_13: 9.004274285127735e-05 - sys_14: 0.0002990577486150853 - sys_15: -7.291388700896279e-05 - sys_16: -4.981686266952649e-06 - sys_17: -1.1402064553258713e-06 - sys_18: -0.0007621712345388191 - sys_19: 0.0003536563230383579 - sys_20: -0.0005674020577193189 - sys_21: -0.00015127498178577192 - sys_22: -4.6455384408380834e-05 - 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-7.779631996597293e-08 + sys_30: 6.633292161656245e-07 + sys_31: 1.054976034309479e-06 + sys_32: -3.378806930895894e-07 + sys_33: 2.2001974670195147e-06 + sys_34: -7.33634436311964e-07 + sys_35: -5.440401898597821e-06 stat: 0.0418 lumi: 0.0007 - pol: 0.13908 + pol: 0.0013908000000000002 From 637e7d818c63cb4ec79612f199d60ec7469fe940 Mon Sep 17 00:00:00 2001 From: toonhasenack Date: Tue, 14 May 2024 15:50:04 +0200 Subject: [PATCH 28/70] STAR_2012 correct correlations --- .../STAR_2012_1JET_510GEV/uncertainties.yaml | 1670 ++++++++--------- .../uncertainties.yaml | 1228 ++++++------ .../uncertainties.yaml | 1334 ++++++------- .../uncertainties.yaml | 1224 ++++++------ .../uncertainties.yaml | 1344 ++++++------- 5 files changed, 3400 insertions(+), 3400 deletions(-) diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/uncertainties.yaml index c882bbfc92..c739bb1293 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/uncertainties.yaml @@ -10,1037 +10,1037 @@ definitions: sys_0: description: 0 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc0 + type: STAR2012JETunc0 sys_1: description: 1 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc1 + type: STAR2012JETunc1 sys_2: description: 2 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc2 + type: STAR2012JETunc2 sys_3: description: 3 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc3 + type: STAR2012JETunc3 sys_4: description: 4 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc4 + type: STAR2012JETunc4 sys_5: description: 5 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc5 + type: STAR2012JETunc5 sys_6: description: 6 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc6 + type: STAR2012JETunc6 sys_7: description: 7 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc7 + type: STAR2012JETunc7 sys_8: description: 8 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc8 + type: STAR2012JETunc8 sys_9: description: 9 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc9 + type: STAR2012JETunc9 sys_10: description: 10 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc10 + type: STAR2012JETunc10 sys_11: description: 11 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc11 + type: STAR2012JETunc11 sys_12: description: 12 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc12 + type: STAR2012JETunc12 sys_13: description: 13 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc13 + type: STAR2012JETunc13 sys_14: description: 14 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc14 + type: STAR2012JETunc14 sys_15: description: 15 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc15 + type: STAR2012JETunc15 sys_16: description: 16 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc16 + type: STAR2012JETunc16 sys_17: description: 17 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc17 + type: STAR2012JETunc17 sys_18: description: 18 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc18 + type: STAR2012JETunc18 sys_19: description: 19 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc19 + type: STAR2012JETunc19 sys_20: description: 20 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc20 + type: STAR2012JETunc20 sys_21: description: 21 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc21 + type: STAR2012JETunc21 sys_22: description: 22 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc22 + type: STAR2012JETunc22 sys_23: description: 23 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc23 + type: STAR2012JETunc23 sys_24: description: 24 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc24 + type: STAR2012JETunc24 sys_25: description: 25 artificial correlated statistical + systematics uncertainty treatment: ADD - type: 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systematics uncertainty treatment: ADD - type: STAR2013JETunc32 + type: STAR2012JETunc32 sys_33: description: 33 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc33 + type: STAR2012JETunc33 sys_34: description: 34 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc34 + type: STAR2012JETunc34 sys_35: description: 35 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc35 + type: STAR2012JETunc35 sys_36: description: 36 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc36 + type: STAR2012JETunc36 sys_37: description: 37 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc37 + type: STAR2012JETunc37 sys_38: description: 38 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc38 + type: STAR2012JETunc38 sys_39: description: 39 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc39 + type: STAR2012JETunc39 sys_40: description: 40 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc40 + type: STAR2012JETunc40 sys_41: description: 41 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc41 + type: STAR2012JETunc41 sys_42: description: 42 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc42 + type: STAR2012JETunc42 sys_43: description: 43 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc43 + type: STAR2012JETunc43 sys_44: description: 44 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc44 + type: STAR2012JETunc44 sys_45: description: 45 artificial correlated statistical + systematics uncertainty treatment: ADD - type: 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a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_A_510GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_A_510GEV/uncertainties.yaml @@ -14,815 +14,815 @@ definitions: sys_0: description: 0 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc0 + type: STAR2012JETunc0 sys_1: description: 1 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc1 + type: STAR2012JETunc1 sys_2: description: 2 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc2 + type: STAR2012JETunc2 sys_3: description: 3 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc3 + type: STAR2012JETunc3 sys_4: description: 4 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc4 + type: STAR2012JETunc4 sys_5: description: 5 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc5 + type: STAR2012JETunc5 sys_6: description: 6 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc6 + type: STAR2012JETunc6 sys_7: description: 7 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc7 + type: STAR2012JETunc7 sys_8: description: 8 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc8 + type: STAR2012JETunc8 sys_9: description: 9 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc9 + type: STAR2012JETunc9 sys_10: description: 10 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc10 + type: STAR2012JETunc10 sys_11: description: 11 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc11 + type: STAR2012JETunc11 sys_12: description: 12 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc12 + type: STAR2012JETunc12 sys_13: description: 13 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc13 + type: STAR2012JETunc13 sys_14: description: 14 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc14 + type: STAR2012JETunc14 sys_15: description: 15 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc15 + type: STAR2012JETunc15 sys_16: description: 16 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc16 + type: STAR2012JETunc16 sys_17: description: 17 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc17 + type: STAR2012JETunc17 sys_18: description: 18 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc18 + type: STAR2012JETunc18 sys_19: description: 19 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc19 + type: STAR2012JETunc19 sys_20: description: 20 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc20 + type: STAR2012JETunc20 sys_21: description: 21 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc21 + type: STAR2012JETunc21 sys_22: description: 22 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc22 + type: STAR2012JETunc22 sys_23: description: 23 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc23 + type: STAR2012JETunc23 sys_24: description: 24 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc24 + type: STAR2012JETunc24 sys_25: description: 25 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc25 + type: STAR2012JETunc25 sys_26: description: 26 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc26 + type: STAR2012JETunc26 sys_27: description: 27 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc27 + type: STAR2012JETunc27 sys_28: description: 28 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc28 + type: STAR2012JETunc28 sys_29: description: 29 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc29 + type: STAR2012JETunc29 sys_30: description: 30 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc30 + type: STAR2012JETunc30 sys_31: description: 31 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc31 + type: STAR2012JETunc31 sys_32: description: 32 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc32 + type: STAR2012JETunc32 sys_33: description: 33 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc33 + type: STAR2012JETunc33 sys_34: description: 34 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc34 + type: STAR2012JETunc34 sys_35: description: 35 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc35 + type: STAR2012JETunc35 sys_36: description: 36 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc36 + type: STAR2012JETunc36 sys_37: description: 37 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc37 + type: STAR2012JETunc37 sys_38: description: 38 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc38 + type: STAR2012JETunc38 sys_39: description: 39 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc39 + type: STAR2012JETunc39 sys_40: description: 40 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc40 + type: STAR2012JETunc40 sys_41: description: 41 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc41 + type: STAR2012JETunc41 sys_42: description: 42 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc42 + type: STAR2012JETunc42 sys_43: description: 43 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc43 + type: STAR2012JETunc43 sys_44: description: 44 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc44 + type: STAR2012JETunc44 sys_45: description: 45 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc45 + type: STAR2012JETunc45 sys_46: description: 46 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc46 + type: STAR2012JETunc46 sys_47: description: 47 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc47 + type: STAR2012JETunc47 sys_48: description: 48 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc48 + type: STAR2012JETunc48 sys_49: description: 49 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc49 + type: STAR2012JETunc49 sys_50: description: 50 artificial correlated systematics 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treatment: ADD - type: STAR2013JETunc3 + type: STAR2012JETunc3 sys_4: description: 4 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc4 + type: STAR2012JETunc4 sys_5: description: 5 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc5 + type: STAR2012JETunc5 sys_6: description: 6 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc6 + type: STAR2012JETunc6 sys_7: description: 7 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc7 + type: STAR2012JETunc7 sys_8: description: 8 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc8 + type: STAR2012JETunc8 sys_9: description: 9 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc9 + type: STAR2012JETunc9 sys_10: description: 10 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc10 + type: STAR2012JETunc10 sys_11: description: 11 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc11 + type: STAR2012JETunc11 sys_12: description: 12 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc12 + type: STAR2012JETunc12 sys_13: description: 13 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc13 + type: STAR2012JETunc13 sys_14: description: 14 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc14 + type: STAR2012JETunc14 sys_15: description: 15 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc15 + type: STAR2012JETunc15 sys_16: description: 16 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc16 + type: STAR2012JETunc16 sys_17: description: 17 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc17 + type: STAR2012JETunc17 sys_18: description: 18 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc18 + type: STAR2012JETunc18 sys_19: description: 19 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc19 + type: STAR2012JETunc19 sys_20: description: 20 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc20 + type: STAR2012JETunc20 sys_21: description: 21 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc21 + type: STAR2012JETunc21 sys_22: description: 22 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc22 + type: STAR2012JETunc22 sys_23: description: 23 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc23 + type: STAR2012JETunc23 sys_24: description: 24 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc24 + type: STAR2012JETunc24 sys_25: description: 25 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc25 + type: STAR2012JETunc25 sys_26: description: 26 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc26 + type: STAR2012JETunc26 sys_27: description: 27 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc27 + type: STAR2012JETunc27 sys_28: description: 28 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc28 + type: STAR2012JETunc28 sys_29: description: 29 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc29 + type: STAR2012JETunc29 sys_30: description: 30 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc30 + type: STAR2012JETunc30 sys_31: description: 31 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc31 + type: STAR2012JETunc31 sys_32: description: 32 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc32 + type: STAR2012JETunc32 sys_33: description: 33 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc33 + type: STAR2012JETunc33 sys_34: description: 34 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc34 + type: STAR2012JETunc34 sys_35: description: 35 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc35 + type: STAR2012JETunc35 sys_36: description: 36 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc36 + type: STAR2012JETunc36 sys_37: description: 37 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc37 + type: STAR2012JETunc37 sys_38: description: 38 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc38 + type: STAR2012JETunc38 sys_39: description: 39 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc39 + type: STAR2012JETunc39 sys_40: description: 40 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc40 + type: STAR2012JETunc40 sys_41: description: 41 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc41 + type: STAR2012JETunc41 sys_42: description: 42 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc42 + type: STAR2012JETunc42 sys_43: description: 43 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc43 + type: STAR2012JETunc43 sys_44: description: 44 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc44 + type: STAR2012JETunc44 sys_45: description: 45 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc45 + type: STAR2012JETunc45 sys_46: description: 46 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc46 + type: STAR2012JETunc46 sys_47: description: 47 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc47 + type: 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sys_3: description: 3 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc3 + type: STAR2012JETunc3 sys_4: description: 4 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc4 + type: STAR2012JETunc4 sys_5: description: 5 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc5 + type: STAR2012JETunc5 sys_6: description: 6 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc6 + type: STAR2012JETunc6 sys_7: description: 7 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc7 + type: STAR2012JETunc7 sys_8: description: 8 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc8 + type: STAR2012JETunc8 sys_9: description: 9 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc9 + type: STAR2012JETunc9 sys_10: description: 10 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc10 + type: STAR2012JETunc10 sys_11: description: 11 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc11 + type: STAR2012JETunc11 sys_12: description: 12 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc12 + type: STAR2012JETunc12 sys_13: description: 13 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc13 + type: STAR2012JETunc13 sys_14: description: 14 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc14 + type: STAR2012JETunc14 sys_15: description: 15 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc15 + type: STAR2012JETunc15 sys_16: description: 16 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc16 + type: STAR2012JETunc16 sys_17: description: 17 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc17 + type: STAR2012JETunc17 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5.937089612155706e-07 + sys_40: 6.162087831629744e-07 + sys_41: 9.206009972349796e-08 + sys_42: 4.8342680643373803e-08 + sys_43: -9.355065654867285e-09 + sys_44: 6.393413859155355e-08 + sys_45: -4.6977023058533314e-08 + sys_46: -1.4995361978283547e-08 + sys_47: -3.041193870623935e-07 + sys_48: 8.54692434612174e-08 + sys_49: -1.8316145562561607e-08 + sys_50: 6.202278518462283e-08 + sys_51: -1.649431626782716e-08 + sys_52: 1.1828217804672864e-08 + sys_53: -4.714010101532377e-09 + sys_54: -9.52101868262452e-09 + sys_55: -7.908290426298496e-09 From 72e496982baaf420e4be8ce954bffd9008345318 Mon Sep 17 00:00:00 2001 From: giacomomagni Date: Tue, 14 May 2024 16:05:57 +0200 Subject: [PATCH 29/70] correct wrong year label --- .../star/jet_dijet_2012_510gev.py | 4 +- .../STAR_2012_1JET_510GEV/uncertainties.yaml | 112 +++++++++--------- .../uncertainties.yaml | 112 +++++++++--------- .../uncertainties.yaml | 112 +++++++++--------- .../uncertainties.yaml | 112 +++++++++--------- .../uncertainties.yaml | 112 +++++++++--------- 6 files changed, 282 insertions(+), 282 deletions(-) diff --git a/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2012_510gev.py b/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2012_510gev.py index c932252b5b..a5e6c95dd2 100644 --- a/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2012_510gev.py +++ b/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2012_510gev.py @@ -175,7 +175,7 @@ def write_1jet_data(df, art_sys): f"sys_{j}": { "description": f"{j} artificial correlated statistical + systematics uncertainty", "treatment": "ADD", - "type": f"STAR2013JETunc{j}", + "type": f"STAR{YEAR}JETunc{j}", } for j in range(len(sys_i)) } @@ -246,7 +246,7 @@ def write_2jet_data(df, topology, art_sys): f"sys_{j}": { "description": f"{j} artificial correlated systematics uncertainty", "treatment": "ADD", - "type": f"STAR2013JETunc{j}", + "type": f"STAR{YEAR}JETunc{j}", } for j in range(len(sys_i)) } diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/uncertainties.yaml index c882bbfc92..e533032f69 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/uncertainties.yaml @@ -10,227 +10,227 @@ definitions: sys_0: description: 0 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc0 + type: STAR2012JETunc0 sys_1: description: 1 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc1 + type: STAR2012JETunc1 sys_2: description: 2 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc2 + type: STAR2012JETunc2 sys_3: description: 3 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc3 + type: STAR2012JETunc3 sys_4: description: 4 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc4 + type: STAR2012JETunc4 sys_5: description: 5 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc5 + type: STAR2012JETunc5 sys_6: description: 6 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc6 + type: STAR2012JETunc6 sys_7: description: 7 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc7 + type: STAR2012JETunc7 sys_8: description: 8 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc8 + type: STAR2012JETunc8 sys_9: description: 9 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc9 + type: STAR2012JETunc9 sys_10: description: 10 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc10 + type: STAR2012JETunc10 sys_11: description: 11 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc11 + type: STAR2012JETunc11 sys_12: description: 12 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc12 + type: STAR2012JETunc12 sys_13: description: 13 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc13 + type: STAR2012JETunc13 sys_14: description: 14 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc14 + type: STAR2012JETunc14 sys_15: description: 15 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc15 + type: STAR2012JETunc15 sys_16: description: 16 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc16 + type: STAR2012JETunc16 sys_17: description: 17 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc17 + type: STAR2012JETunc17 sys_18: description: 18 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc18 + type: STAR2012JETunc18 sys_19: description: 19 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc19 + type: STAR2012JETunc19 sys_20: description: 20 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc20 + type: STAR2012JETunc20 sys_21: description: 21 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc21 + type: STAR2012JETunc21 sys_22: description: 22 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc22 + type: STAR2012JETunc22 sys_23: description: 23 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc23 + type: STAR2012JETunc23 sys_24: description: 24 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc24 + type: STAR2012JETunc24 sys_25: description: 25 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc25 + type: STAR2012JETunc25 sys_26: description: 26 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc26 + type: STAR2012JETunc26 sys_27: description: 27 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc27 + type: STAR2012JETunc27 sys_28: description: 28 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc28 + type: STAR2012JETunc28 sys_29: description: 29 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc29 + type: STAR2012JETunc29 sys_30: description: 30 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc30 + type: STAR2012JETunc30 sys_31: description: 31 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc31 + type: STAR2012JETunc31 sys_32: description: 32 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc32 + type: STAR2012JETunc32 sys_33: description: 33 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc33 + type: STAR2012JETunc33 sys_34: description: 34 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc34 + type: STAR2012JETunc34 sys_35: description: 35 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc35 + type: STAR2012JETunc35 sys_36: description: 36 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc36 + type: STAR2012JETunc36 sys_37: description: 37 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc37 + type: STAR2012JETunc37 sys_38: description: 38 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc38 + type: STAR2012JETunc38 sys_39: description: 39 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc39 + type: STAR2012JETunc39 sys_40: description: 40 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc40 + type: STAR2012JETunc40 sys_41: description: 41 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc41 + type: STAR2012JETunc41 sys_42: description: 42 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc42 + type: STAR2012JETunc42 sys_43: description: 43 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc43 + type: STAR2012JETunc43 sys_44: description: 44 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc44 + type: STAR2012JETunc44 sys_45: description: 45 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc45 + type: STAR2012JETunc45 sys_46: description: 46 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc46 + type: STAR2012JETunc46 sys_47: description: 47 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc47 + type: STAR2012JETunc47 sys_48: description: 48 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc48 + type: STAR2012JETunc48 sys_49: description: 49 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc49 + type: STAR2012JETunc49 sys_50: description: 50 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc50 + type: STAR2012JETunc50 sys_51: description: 51 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc51 + type: STAR2012JETunc51 sys_52: description: 52 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc52 + type: STAR2012JETunc52 sys_53: description: 53 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc53 + type: STAR2012JETunc53 sys_54: description: 54 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc54 + type: STAR2012JETunc54 sys_55: description: 55 artificial correlated statistical + systematics uncertainty treatment: ADD - type: STAR2013JETunc55 + type: STAR2012JETunc55 bins: - lumi_ue: 0.000364 pol: 1.1285999999999999e-06 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_A_510GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_A_510GEV/uncertainties.yaml index f64d5a79c9..2f625a214c 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_A_510GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_A_510GEV/uncertainties.yaml @@ -14,227 +14,227 @@ definitions: sys_0: description: 0 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc0 + type: STAR2012JETunc0 sys_1: description: 1 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc1 + type: STAR2012JETunc1 sys_2: description: 2 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc2 + type: STAR2012JETunc2 sys_3: description: 3 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc3 + type: STAR2012JETunc3 sys_4: description: 4 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc4 + type: STAR2012JETunc4 sys_5: description: 5 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc5 + type: STAR2012JETunc5 sys_6: description: 6 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc6 + type: STAR2012JETunc6 sys_7: description: 7 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc7 + type: STAR2012JETunc7 sys_8: description: 8 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc8 + type: STAR2012JETunc8 sys_9: description: 9 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc9 + type: STAR2012JETunc9 sys_10: description: 10 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc10 + type: STAR2012JETunc10 sys_11: description: 11 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc11 + type: STAR2012JETunc11 sys_12: description: 12 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc12 + type: STAR2012JETunc12 sys_13: description: 13 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc13 + type: STAR2012JETunc13 sys_14: description: 14 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc14 + type: STAR2012JETunc14 sys_15: description: 15 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc15 + type: STAR2012JETunc15 sys_16: description: 16 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc16 + type: STAR2012JETunc16 sys_17: description: 17 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc17 + type: STAR2012JETunc17 sys_18: description: 18 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc18 + type: STAR2012JETunc18 sys_19: description: 19 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc19 + type: STAR2012JETunc19 sys_20: description: 20 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc20 + type: STAR2012JETunc20 sys_21: description: 21 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc21 + type: STAR2012JETunc21 sys_22: description: 22 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc22 + type: STAR2012JETunc22 sys_23: description: 23 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc23 + type: STAR2012JETunc23 sys_24: description: 24 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc24 + type: STAR2012JETunc24 sys_25: description: 25 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc25 + type: STAR2012JETunc25 sys_26: description: 26 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc26 + type: STAR2012JETunc26 sys_27: description: 27 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc27 + type: STAR2012JETunc27 sys_28: description: 28 artificial 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type: STAR2013JETunc35 + type: STAR2012JETunc35 sys_36: description: 36 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc36 + type: STAR2012JETunc36 sys_37: description: 37 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc37 + type: STAR2012JETunc37 sys_38: description: 38 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc38 + type: STAR2012JETunc38 sys_39: description: 39 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc39 + type: STAR2012JETunc39 sys_40: description: 40 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc40 + type: STAR2012JETunc40 sys_41: description: 41 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc41 + type: STAR2012JETunc41 sys_42: description: 42 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc42 + type: STAR2012JETunc42 sys_43: description: 43 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc43 + type: STAR2012JETunc43 sys_44: description: 44 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc44 + type: STAR2012JETunc44 sys_45: description: 45 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc45 + type: STAR2012JETunc45 sys_46: description: 46 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc46 + type: STAR2012JETunc46 sys_47: description: 47 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc47 + type: STAR2012JETunc47 sys_48: description: 48 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc48 + type: STAR2012JETunc48 sys_49: description: 49 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc49 + type: STAR2012JETunc49 sys_50: description: 50 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc50 + type: STAR2012JETunc50 sys_51: description: 51 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc51 + type: STAR2012JETunc51 sys_52: description: 52 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc52 + type: STAR2012JETunc52 sys_53: description: 53 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc53 + type: STAR2012JETunc53 sys_54: description: 54 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc54 + type: STAR2012JETunc54 sys_55: description: 55 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc55 + type: STAR2012JETunc55 bins: - stat: 0.0066 lumi_ue: 0.00025 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_B_510GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_B_510GEV/uncertainties.yaml index a33894ad64..d40de5b28b 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_B_510GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_B_510GEV/uncertainties.yaml @@ -14,227 +14,227 @@ definitions: sys_0: description: 0 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc0 + type: STAR2012JETunc0 sys_1: description: 1 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc1 + type: STAR2012JETunc1 sys_2: description: 2 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc2 + type: STAR2012JETunc2 sys_3: description: 3 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc3 + type: STAR2012JETunc3 sys_4: description: 4 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc4 + type: STAR2012JETunc4 sys_5: description: 5 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc5 + type: STAR2012JETunc5 sys_6: description: 6 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc6 + type: STAR2012JETunc6 sys_7: description: 7 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc7 + type: STAR2012JETunc7 sys_8: description: 8 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc8 + type: STAR2012JETunc8 sys_9: description: 9 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc9 + type: STAR2012JETunc9 sys_10: description: 10 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc10 + type: STAR2012JETunc10 sys_11: description: 11 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc11 + type: STAR2012JETunc11 sys_12: description: 12 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc12 + type: STAR2012JETunc12 sys_13: description: 13 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc13 + type: STAR2012JETunc13 sys_14: description: 14 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc14 + type: STAR2012JETunc14 sys_15: description: 15 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc15 + type: STAR2012JETunc15 sys_16: description: 16 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc16 + type: STAR2012JETunc16 sys_17: description: 17 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc17 + type: STAR2012JETunc17 sys_18: description: 18 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc18 + type: STAR2012JETunc18 sys_19: description: 19 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc19 + type: STAR2012JETunc19 sys_20: description: 20 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc20 + type: STAR2012JETunc20 sys_21: description: 21 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc21 + type: STAR2012JETunc21 sys_22: description: 22 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc22 + type: STAR2012JETunc22 sys_23: description: 23 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc23 + type: STAR2012JETunc23 sys_24: description: 24 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc24 + type: STAR2012JETunc24 sys_25: description: 25 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc25 + type: STAR2012JETunc25 sys_26: description: 26 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc26 + type: STAR2012JETunc26 sys_27: description: 27 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc27 + type: STAR2012JETunc27 sys_28: description: 28 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc28 + type: STAR2012JETunc28 sys_29: description: 29 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc29 + type: STAR2012JETunc29 sys_30: description: 30 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc30 + type: STAR2012JETunc30 sys_31: description: 31 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc31 + type: STAR2012JETunc31 sys_32: description: 32 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc32 + type: STAR2012JETunc32 sys_33: description: 33 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc33 + type: STAR2012JETunc33 sys_34: description: 34 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc34 + type: STAR2012JETunc34 sys_35: description: 35 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc35 + type: STAR2012JETunc35 sys_36: description: 36 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc36 + type: STAR2012JETunc36 sys_37: description: 37 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc37 + type: STAR2012JETunc37 sys_38: description: 38 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc38 + type: STAR2012JETunc38 sys_39: description: 39 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc39 + type: STAR2012JETunc39 sys_40: description: 40 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc40 + type: STAR2012JETunc40 sys_41: description: 41 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc41 + type: STAR2012JETunc41 sys_42: description: 42 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc42 + type: STAR2012JETunc42 sys_43: description: 43 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc43 + type: STAR2012JETunc43 sys_44: description: 44 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc44 + type: STAR2012JETunc44 sys_45: description: 45 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc45 + type: STAR2012JETunc45 sys_46: description: 46 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc46 + type: STAR2012JETunc46 sys_47: description: 47 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc47 + type: STAR2012JETunc47 sys_48: description: 48 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc48 + type: STAR2012JETunc48 sys_49: description: 49 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc49 + type: STAR2012JETunc49 sys_50: description: 50 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc50 + type: STAR2012JETunc50 sys_51: description: 51 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc51 + type: STAR2012JETunc51 sys_52: description: 52 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc52 + type: STAR2012JETunc52 sys_53: description: 53 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc53 + type: STAR2012JETunc53 sys_54: description: 54 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc54 + type: STAR2012JETunc54 sys_55: description: 55 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc55 + type: STAR2012JETunc55 bins: - stat: 0.0053 lumi_ue: 0.0004 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_C_510GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_C_510GEV/uncertainties.yaml index 16fe89f45b..0e9803b6f5 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_C_510GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_C_510GEV/uncertainties.yaml @@ -14,227 +14,227 @@ definitions: sys_0: description: 0 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc0 + type: STAR2012JETunc0 sys_1: description: 1 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc1 + type: STAR2012JETunc1 sys_2: description: 2 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc2 + type: STAR2012JETunc2 sys_3: description: 3 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc3 + type: STAR2012JETunc3 sys_4: description: 4 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc4 + type: STAR2012JETunc4 sys_5: description: 5 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc5 + type: STAR2012JETunc5 sys_6: description: 6 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc6 + type: STAR2012JETunc6 sys_7: description: 7 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc7 + type: STAR2012JETunc7 sys_8: description: 8 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc8 + type: STAR2012JETunc8 sys_9: description: 9 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc9 + type: STAR2012JETunc9 sys_10: description: 10 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc10 + type: STAR2012JETunc10 sys_11: description: 11 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc11 + type: STAR2012JETunc11 sys_12: description: 12 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc12 + type: STAR2012JETunc12 sys_13: description: 13 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc13 + type: STAR2012JETunc13 sys_14: description: 14 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc14 + type: STAR2012JETunc14 sys_15: description: 15 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc15 + type: STAR2012JETunc15 sys_16: description: 16 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc16 + type: STAR2012JETunc16 sys_17: description: 17 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc17 + type: STAR2012JETunc17 sys_18: description: 18 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc18 + type: STAR2012JETunc18 sys_19: description: 19 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc19 + type: STAR2012JETunc19 sys_20: description: 20 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc20 + type: STAR2012JETunc20 sys_21: description: 21 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc21 + type: STAR2012JETunc21 sys_22: description: 22 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc22 + type: STAR2012JETunc22 sys_23: description: 23 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc23 + type: STAR2012JETunc23 sys_24: description: 24 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc24 + type: STAR2012JETunc24 sys_25: description: 25 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc25 + type: STAR2012JETunc25 sys_26: description: 26 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc26 + type: STAR2012JETunc26 sys_27: description: 27 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc27 + type: STAR2012JETunc27 sys_28: description: 28 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc28 + type: STAR2012JETunc28 sys_29: description: 29 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc29 + type: STAR2012JETunc29 sys_30: description: 30 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc30 + type: STAR2012JETunc30 sys_31: description: 31 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc31 + type: STAR2012JETunc31 sys_32: description: 32 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc32 + type: STAR2012JETunc32 sys_33: description: 33 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc33 + type: STAR2012JETunc33 sys_34: description: 34 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc34 + type: STAR2012JETunc34 sys_35: description: 35 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc35 + type: STAR2012JETunc35 sys_36: description: 36 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc36 + type: STAR2012JETunc36 sys_37: description: 37 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc37 + type: STAR2012JETunc37 sys_38: description: 38 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc38 + type: STAR2012JETunc38 sys_39: description: 39 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc39 + type: STAR2012JETunc39 sys_40: description: 40 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc40 + type: STAR2012JETunc40 sys_41: description: 41 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc41 + type: STAR2012JETunc41 sys_42: description: 42 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc42 + type: STAR2012JETunc42 sys_43: description: 43 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc43 + type: STAR2012JETunc43 sys_44: description: 44 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc44 + type: STAR2012JETunc44 sys_45: description: 45 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc45 + type: STAR2012JETunc45 sys_46: description: 46 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc46 + type: STAR2012JETunc46 sys_47: description: 47 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc47 + type: STAR2012JETunc47 sys_48: description: 48 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc48 + type: STAR2012JETunc48 sys_49: description: 49 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc49 + type: STAR2012JETunc49 sys_50: description: 50 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc50 + type: STAR2012JETunc50 sys_51: description: 51 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc51 + type: STAR2012JETunc51 sys_52: description: 52 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc52 + type: STAR2012JETunc52 sys_53: description: 53 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc53 + type: STAR2012JETunc53 sys_54: description: 54 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc54 + type: STAR2012JETunc54 sys_55: description: 55 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc55 + type: STAR2012JETunc55 bins: - stat: 0.0085 lumi_ue: 0.00026 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_D_510GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_D_510GEV/uncertainties.yaml index 38e92da673..7af2a2253a 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_D_510GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_D_510GEV/uncertainties.yaml @@ -14,227 +14,227 @@ definitions: sys_0: description: 0 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc0 + type: STAR2012JETunc0 sys_1: description: 1 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc1 + type: STAR2012JETunc1 sys_2: description: 2 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc2 + type: STAR2012JETunc2 sys_3: description: 3 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc3 + type: STAR2012JETunc3 sys_4: description: 4 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc4 + type: STAR2012JETunc4 sys_5: description: 5 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc5 + type: STAR2012JETunc5 sys_6: description: 6 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc6 + type: STAR2012JETunc6 sys_7: description: 7 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc7 + type: STAR2012JETunc7 sys_8: description: 8 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc8 + type: STAR2012JETunc8 sys_9: description: 9 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc9 + type: STAR2012JETunc9 sys_10: description: 10 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc10 + type: STAR2012JETunc10 sys_11: description: 11 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc11 + type: STAR2012JETunc11 sys_12: description: 12 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc12 + type: STAR2012JETunc12 sys_13: description: 13 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc13 + type: STAR2012JETunc13 sys_14: description: 14 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc14 + type: STAR2012JETunc14 sys_15: description: 15 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc15 + type: STAR2012JETunc15 sys_16: description: 16 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc16 + type: STAR2012JETunc16 sys_17: description: 17 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc17 + type: STAR2012JETunc17 sys_18: description: 18 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc18 + type: STAR2012JETunc18 sys_19: description: 19 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc19 + type: STAR2012JETunc19 sys_20: description: 20 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc20 + type: STAR2012JETunc20 sys_21: description: 21 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc21 + type: STAR2012JETunc21 sys_22: description: 22 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc22 + type: STAR2012JETunc22 sys_23: description: 23 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc23 + type: STAR2012JETunc23 sys_24: description: 24 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc24 + type: STAR2012JETunc24 sys_25: description: 25 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc25 + type: STAR2012JETunc25 sys_26: description: 26 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc26 + type: STAR2012JETunc26 sys_27: description: 27 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc27 + type: STAR2012JETunc27 sys_28: description: 28 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc28 + type: STAR2012JETunc28 sys_29: description: 29 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc29 + type: STAR2012JETunc29 sys_30: description: 30 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc30 + type: STAR2012JETunc30 sys_31: description: 31 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc31 + type: STAR2012JETunc31 sys_32: description: 32 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc32 + type: STAR2012JETunc32 sys_33: description: 33 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc33 + type: STAR2012JETunc33 sys_34: description: 34 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc34 + type: STAR2012JETunc34 sys_35: description: 35 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc35 + type: STAR2012JETunc35 sys_36: description: 36 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc36 + type: STAR2012JETunc36 sys_37: description: 37 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc37 + type: STAR2012JETunc37 sys_38: description: 38 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc38 + type: STAR2012JETunc38 sys_39: description: 39 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc39 + type: STAR2012JETunc39 sys_40: description: 40 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc40 + type: STAR2012JETunc40 sys_41: description: 41 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc41 + type: STAR2012JETunc41 sys_42: description: 42 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc42 + type: STAR2012JETunc42 sys_43: description: 43 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc43 + type: STAR2012JETunc43 sys_44: description: 44 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc44 + type: STAR2012JETunc44 sys_45: description: 45 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc45 + type: STAR2012JETunc45 sys_46: description: 46 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc46 + type: STAR2012JETunc46 sys_47: description: 47 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc47 + type: STAR2012JETunc47 sys_48: description: 48 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc48 + type: STAR2012JETunc48 sys_49: description: 49 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc49 + type: STAR2012JETunc49 sys_50: description: 50 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc50 + type: STAR2012JETunc50 sys_51: description: 51 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc51 + type: STAR2012JETunc51 sys_52: description: 52 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc52 + type: STAR2012JETunc52 sys_53: description: 53 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc53 + type: STAR2012JETunc53 sys_54: description: 54 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc54 + type: STAR2012JETunc54 sys_55: description: 55 artificial correlated systematics uncertainty treatment: ADD - type: STAR2013JETunc55 + type: STAR2012JETunc55 bins: - stat: 0.0161 lumi_ue: 0.00131 From 1b9a9cf9d41a882387256ce970f8039c83f9d190 Mon Sep 17 00:00:00 2001 From: giacomomagni Date: Tue, 14 May 2024 16:17:20 +0200 Subject: [PATCH 30/70] fix metadata --- .../new_commondata/STAR_2012_1JET_510GEV/metadata.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/metadata.yaml index 273c010c6f..4095a4de8c 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/metadata.yaml @@ -5,9 +5,9 @@ nnpdf_metadata: nnpdf31_process: "JETS" iNSPIRE: - url: "https://inspirehep.net/literature/1493842" + url: "https://inspirehep.net/literature/1738738" hepdata: - url: "https://www.hepdata.net/record/ins1493842" + url: "https://www.hepdata.net/record/ins1738738" version: 1 arXiv: url: https://arxiv.org/abs/1906.02740 From de2a0650f8ddf25df3f23bf6f16eba420261dbaf Mon Sep 17 00:00:00 2001 From: giacomomagni Date: Wed, 15 May 2024 13:35:05 +0200 Subject: [PATCH 31/70] init restore older filters --- .../nnpdf_data/new_commondata/ATLAS_1JET_13TEV_DIF/filter.py | 2 +- .../nnpdf_data/new_commondata/ATLAS_2JET_13TEV_DIF/filter.py | 2 +- .../new_commondata/ATLAS_TTBAR_13TEV_LJ_DIF/filter.py | 2 +- .../nnpdf_data/new_commondata/ATLAS_TTBAR_8TEV_LJ_DIF/filter.py | 2 +- .../nnpdf_data/new_commondata/CMS_TTBAR_8TEV_2L_DIF/filter.py | 2 +- .../new_commondata/H1_1JET_319GEV_290PB-1_DIF/filter.py | 2 +- .../new_commondata/H1_2JET_319GEV_290PB-1_DIF/filter.py | 2 +- .../new_commondata/ZEUS_1JET_300GEV_38P6PB-1_DIF/filter.py | 2 +- .../new_commondata/ZEUS_1JET_319GEV_82PB-1_DIF/filter.py | 2 +- .../new_commondata/ZEUS_2JET_319GEV_374PB-1_DIF/filter.py | 2 +- 10 files changed, 10 insertions(+), 10 deletions(-) diff --git a/nnpdf_data/nnpdf_data/new_commondata/ATLAS_1JET_13TEV_DIF/filter.py b/nnpdf_data/nnpdf_data/new_commondata/ATLAS_1JET_13TEV_DIF/filter.py index b3442e89bd..ff222f5fea 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/ATLAS_1JET_13TEV_DIF/filter.py +++ b/nnpdf_data/nnpdf_data/new_commondata/ATLAS_1JET_13TEV_DIF/filter.py @@ -1,6 +1,6 @@ import yaml -from nnpdf_data.filter_utils.uncertainties import symmetrize_errors as se +from nnpdf_data.new_commondata.ATLAS_TTBAR_13TEV_HADR_DIF.utils import symmetrize_errors as se def processData(): diff --git a/nnpdf_data/nnpdf_data/new_commondata/ATLAS_2JET_13TEV_DIF/filter.py b/nnpdf_data/nnpdf_data/new_commondata/ATLAS_2JET_13TEV_DIF/filter.py index 47dee7baba..0655765b51 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/ATLAS_2JET_13TEV_DIF/filter.py +++ b/nnpdf_data/nnpdf_data/new_commondata/ATLAS_2JET_13TEV_DIF/filter.py @@ -1,6 +1,6 @@ import yaml -from nnpdf_data.filter_utils.uncertainties import symmetrize_errors as se +from nnpdf_data.new_commondata.ATLAS_TTBAR_13TEV_HADR_DIF.utils import symmetrize_errors as se def processData(): diff --git a/nnpdf_data/nnpdf_data/new_commondata/ATLAS_TTBAR_13TEV_LJ_DIF/filter.py b/nnpdf_data/nnpdf_data/new_commondata/ATLAS_TTBAR_13TEV_LJ_DIF/filter.py index 6798d7ae1b..37b78e0988 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/ATLAS_TTBAR_13TEV_LJ_DIF/filter.py +++ b/nnpdf_data/nnpdf_data/new_commondata/ATLAS_TTBAR_13TEV_LJ_DIF/filter.py @@ -2,7 +2,7 @@ from nnpdf_data.new_commondata.ATLAS_TTBAR_13TEV_HADR_DIF.utils import covmat_to_artunc as cta from nnpdf_data.new_commondata.ATLAS_TTBAR_13TEV_HADR_DIF.utils import percentage_to_absolute as pta -from nnpdf_data.filter_utils.uncertainties import symmetrize_errors as se +from nnpdf_data.new_commondata.ATLAS_TTBAR_13TEV_HADR_DIF.utils import symmetrize_errors as se def processData(): diff --git a/nnpdf_data/nnpdf_data/new_commondata/ATLAS_TTBAR_8TEV_LJ_DIF/filter.py b/nnpdf_data/nnpdf_data/new_commondata/ATLAS_TTBAR_8TEV_LJ_DIF/filter.py index 85063e274e..b114623b64 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/ATLAS_TTBAR_8TEV_LJ_DIF/filter.py +++ b/nnpdf_data/nnpdf_data/new_commondata/ATLAS_TTBAR_8TEV_LJ_DIF/filter.py @@ -5,7 +5,7 @@ import yaml from nnpdf_data.new_commondata.ATLAS_TTBAR_13TEV_HADR_DIF.utils import percentage_to_absolute as pta -from nnpdf_data.filter_utils.uncertainties import symmetrize_errors as se +from nnpdf_data.new_commondata.ATLAS_TTBAR_13TEV_HADR_DIF.utils import symmetrize_errors as se def processData(): diff --git a/nnpdf_data/nnpdf_data/new_commondata/CMS_TTBAR_8TEV_2L_DIF/filter.py b/nnpdf_data/nnpdf_data/new_commondata/CMS_TTBAR_8TEV_2L_DIF/filter.py index 5e8c5db0bb..8643d38b07 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/CMS_TTBAR_8TEV_2L_DIF/filter.py +++ b/nnpdf_data/nnpdf_data/new_commondata/CMS_TTBAR_8TEV_2L_DIF/filter.py @@ -4,7 +4,7 @@ from nnpdf_data.new_commondata.ATLAS_TTBAR_13TEV_HADR_DIF.utils import covmat_to_artunc as cta from nnpdf_data.new_commondata.ATLAS_TTBAR_13TEV_HADR_DIF.utils import percentage_to_absolute as pta from nnpdf_data.new_commondata.ATLAS_TTBAR_13TEV_HADR_DIF.utils import symmetrize_errors as se -from nnpdf_data.filter_utils.uncertainties import symmetrize_errors as se +from nnpdf_data.new_commondata.ATLAS_TTBAR_13TEV_HADR_DIF.utils import symmetrize_errors as se def processData(): diff --git a/nnpdf_data/nnpdf_data/new_commondata/H1_1JET_319GEV_290PB-1_DIF/filter.py b/nnpdf_data/nnpdf_data/new_commondata/H1_1JET_319GEV_290PB-1_DIF/filter.py index 19325631d1..7f19469816 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/H1_1JET_319GEV_290PB-1_DIF/filter.py +++ b/nnpdf_data/nnpdf_data/new_commondata/H1_1JET_319GEV_290PB-1_DIF/filter.py @@ -4,7 +4,7 @@ import yaml from nnpdf_data.new_commondata.ATLAS_TTBAR_13TEV_HADR_DIF.utils import percentage_to_absolute as pta -from nnpdf_data.filter_utils.uncertainties import symmetrize_errors as se +from nnpdf_data.new_commondata.ATLAS_TTBAR_13TEV_HADR_DIF.utils import symmetrize_errors as se def processData(): diff --git a/nnpdf_data/nnpdf_data/new_commondata/H1_2JET_319GEV_290PB-1_DIF/filter.py b/nnpdf_data/nnpdf_data/new_commondata/H1_2JET_319GEV_290PB-1_DIF/filter.py index a3923e6b9f..ecf4dff877 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/H1_2JET_319GEV_290PB-1_DIF/filter.py +++ b/nnpdf_data/nnpdf_data/new_commondata/H1_2JET_319GEV_290PB-1_DIF/filter.py @@ -4,7 +4,7 @@ import yaml from nnpdf_data.new_commondata.ATLAS_TTBAR_13TEV_HADR_DIF.utils import percentage_to_absolute as pta -from nnpdf_data.filter_utils.uncertainties import symmetrize_errors as se +from nnpdf_data.new_commondata.ATLAS_TTBAR_13TEV_HADR_DIF.utils import symmetrize_errors as se def processData(): diff --git a/nnpdf_data/nnpdf_data/new_commondata/ZEUS_1JET_300GEV_38P6PB-1_DIF/filter.py b/nnpdf_data/nnpdf_data/new_commondata/ZEUS_1JET_300GEV_38P6PB-1_DIF/filter.py index b86614b230..e6c5b3fa0b 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/ZEUS_1JET_300GEV_38P6PB-1_DIF/filter.py +++ b/nnpdf_data/nnpdf_data/new_commondata/ZEUS_1JET_300GEV_38P6PB-1_DIF/filter.py @@ -1,6 +1,6 @@ import yaml -from nnpdf_data.filter_utils.uncertainties import symmetrize_errors as se +from nnpdf_data.new_commondata.ATLAS_TTBAR_13TEV_HADR_DIF.utils import symmetrize_errors as se def processData(): diff --git a/nnpdf_data/nnpdf_data/new_commondata/ZEUS_1JET_319GEV_82PB-1_DIF/filter.py b/nnpdf_data/nnpdf_data/new_commondata/ZEUS_1JET_319GEV_82PB-1_DIF/filter.py index f992b7a8e6..1804a8e969 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/ZEUS_1JET_319GEV_82PB-1_DIF/filter.py +++ b/nnpdf_data/nnpdf_data/new_commondata/ZEUS_1JET_319GEV_82PB-1_DIF/filter.py @@ -1,6 +1,6 @@ import yaml -from nnpdf_data.filter_utils.uncertainties import symmetrize_errors as se +from nnpdf_data.new_commondata.ATLAS_TTBAR_13TEV_HADR_DIF.utils import symmetrize_errors as se def processData(): diff --git a/nnpdf_data/nnpdf_data/new_commondata/ZEUS_2JET_319GEV_374PB-1_DIF/filter.py b/nnpdf_data/nnpdf_data/new_commondata/ZEUS_2JET_319GEV_374PB-1_DIF/filter.py index dd930278b2..ce56dd4dab 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/ZEUS_2JET_319GEV_374PB-1_DIF/filter.py +++ b/nnpdf_data/nnpdf_data/new_commondata/ZEUS_2JET_319GEV_374PB-1_DIF/filter.py @@ -1,6 +1,6 @@ import yaml -from nnpdf_data.filter_utils.uncertainties import symmetrize_errors as se +from nnpdf_data.new_commondata.ATLAS_TTBAR_13TEV_HADR_DIF.utils import symmetrize_errors as se def processData(): From b262ebbcba0688ead6cb188c97f50cd3e7bb344f Mon Sep 17 00:00:00 2001 From: giacomomagni Date: Wed, 15 May 2024 13:39:02 +0200 Subject: [PATCH 32/70] resotre previous atlas utils --- .../star/jet_dijet_2009_200gev.py | 2 +- .../ATLAS_TTBAR_13TEV_HADR_DIF/utils.py | 23 +++++++++++++++++++ .../CMS_TTBAR_8TEV_2L_DIF/filter.py | 2 +- 3 files changed, 25 insertions(+), 2 deletions(-) diff --git a/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2009_200gev.py b/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2009_200gev.py index 80737e8f85..a22f88ab01 100644 --- a/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2009_200gev.py +++ b/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2009_200gev.py @@ -260,7 +260,7 @@ def write_2jet_data(df, topology, art_sys): "pol": { "description": "polarization uncertainty", "treatment": "MULT", - "type": f"STAR2009POL", + "type": "STAR2009POL", }, } # loop on data points diff --git a/nnpdf_data/nnpdf_data/new_commondata/ATLAS_TTBAR_13TEV_HADR_DIF/utils.py b/nnpdf_data/nnpdf_data/new_commondata/ATLAS_TTBAR_13TEV_HADR_DIF/utils.py index 756b13f18c..def2a4f689 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/ATLAS_TTBAR_13TEV_HADR_DIF/utils.py +++ b/nnpdf_data/nnpdf_data/new_commondata/ATLAS_TTBAR_13TEV_HADR_DIF/utils.py @@ -19,6 +19,29 @@ import numpy as np from numpy.linalg import eig + +def symmetrize_errors(delta_plus, delta_minus): + r"""Compute the symmterized uncertainty and the shift in data point. + Parameters + ---------- + delta_plus : float + The top/plus uncertainty with sign + delta_minus : float + The bottom/minus uncertainty with sign + Returns + ------- + se_delta : float + The value to be added to the data point + se_sigma : float + The symmetrized uncertainty to be used in commondata + """ + semi_diff = (delta_plus + delta_minus) / 2 + average = (delta_plus - delta_minus) / 2 + se_delta = semi_diff + se_sigma = sqrt(average * average + 2 * semi_diff * semi_diff) + return se_delta, se_sigma + + def percentage_to_absolute(percentage, value): r"""Compute the absolute value of uncertainty from percentage. diff --git a/nnpdf_data/nnpdf_data/new_commondata/CMS_TTBAR_8TEV_2L_DIF/filter.py b/nnpdf_data/nnpdf_data/new_commondata/CMS_TTBAR_8TEV_2L_DIF/filter.py index 8643d38b07..0cd577753c 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/CMS_TTBAR_8TEV_2L_DIF/filter.py +++ b/nnpdf_data/nnpdf_data/new_commondata/CMS_TTBAR_8TEV_2L_DIF/filter.py @@ -4,7 +4,7 @@ from nnpdf_data.new_commondata.ATLAS_TTBAR_13TEV_HADR_DIF.utils import covmat_to_artunc as cta from nnpdf_data.new_commondata.ATLAS_TTBAR_13TEV_HADR_DIF.utils import percentage_to_absolute as pta from nnpdf_data.new_commondata.ATLAS_TTBAR_13TEV_HADR_DIF.utils import symmetrize_errors as se -from nnpdf_data.new_commondata.ATLAS_TTBAR_13TEV_HADR_DIF.utils import symmetrize_errors as se +from nnpdf_data.new_commondata.ATLAS_TTBAR_13TEV_HADR_DIF.utils import trimat_to_fullmat as ttf def processData(): From 77ca9bbc20107f8c0d565b6fbec3f94ca4151a9c Mon Sep 17 00:00:00 2001 From: giacomomagni Date: Wed, 15 May 2024 13:39:50 +0200 Subject: [PATCH 33/70] resotre previous atlas utils --- .../new_commondata/ATLAS_TTBAR_13TEV_HADR_DIF/utils.py | 3 +++ 1 file changed, 3 insertions(+) diff --git a/nnpdf_data/nnpdf_data/new_commondata/ATLAS_TTBAR_13TEV_HADR_DIF/utils.py b/nnpdf_data/nnpdf_data/new_commondata/ATLAS_TTBAR_13TEV_HADR_DIF/utils.py index def2a4f689..dac59de537 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/ATLAS_TTBAR_13TEV_HADR_DIF/utils.py +++ b/nnpdf_data/nnpdf_data/new_commondata/ATLAS_TTBAR_13TEV_HADR_DIF/utils.py @@ -22,18 +22,21 @@ def symmetrize_errors(delta_plus, delta_minus): r"""Compute the symmterized uncertainty and the shift in data point. + Parameters ---------- delta_plus : float The top/plus uncertainty with sign delta_minus : float The bottom/minus uncertainty with sign + Returns ------- se_delta : float The value to be added to the data point se_sigma : float The symmetrized uncertainty to be used in commondata + """ semi_diff = (delta_plus + delta_minus) / 2 average = (delta_plus - delta_minus) / 2 From 0ab33c1cfb34d41bc8de6b80ca6d676228b9bea3 Mon Sep 17 00:00:00 2001 From: giacomomagni Date: Wed, 15 May 2024 13:43:27 +0200 Subject: [PATCH 34/70] more cleaning --- .../nnpdf_data/filter_utils/manipulate.py | 21 ------------------- 1 file changed, 21 deletions(-) delete mode 100644 nnpdf_data/nnpdf_data/filter_utils/manipulate.py diff --git a/nnpdf_data/nnpdf_data/filter_utils/manipulate.py b/nnpdf_data/nnpdf_data/filter_utils/manipulate.py deleted file mode 100644 index 4fd31eae71..0000000000 --- a/nnpdf_data/nnpdf_data/filter_utils/manipulate.py +++ /dev/null @@ -1,21 +0,0 @@ - -def concatenate_dicts(multidict: list[dict]) -> dict: - """Given a list of dictionaries combined the values. - - Parameters - ---------- - multidict: list[dict] - list of dictionaries with the same keys - - Returns - ------- - dict: - dictionary whose keys are combined - """ - new_dict = {} - for key in multidict[0].keys(): - new_dict[key] = [] - for element in multidict: - new_dict[key] += element[key] - - return new_dict \ No newline at end of file From ede56cf07131f69f0e5dddd8d58482c9e1184139 Mon Sep 17 00:00:00 2001 From: giacomomagni Date: Thu, 16 May 2024 14:37:50 +0200 Subject: [PATCH 35/70] Adding pol unc to 2013 data --- .../star/jet_dijet_2013_510gev.py | 39 ++++++++--- .../STAR_2013_1JET_510GEV/uncertainties.yaml | 46 +++++++++---- .../uncertainties.yaml | 64 ++++++++++------- .../uncertainties.yaml | 69 ++++++++++++------- .../uncertainties.yaml | 64 ++++++++++------- .../uncertainties.yaml | 64 ++++++++++------- .../STAR_WMWP_510GEV/rawdata/TableI.csv | 13 ++++ 7 files changed, 237 insertions(+), 122 deletions(-) create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_WMWP_510GEV/rawdata/TableI.csv diff --git a/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2013_510gev.py b/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2013_510gev.py index 638bcfe7e3..18375c10a7 100644 --- a/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2013_510gev.py +++ b/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2013_510gev.py @@ -15,10 +15,12 @@ # values from the paper https://arxiv.org/pdf/2110.11020.pdf SQRTS = 510 ETA_ABS = 0.9 +POL_UNC = 0.064 +YEAR = 2013 TOPOPLOGY_LIST = ["1JET", "A", "B", "C", "D"] HERE = pathlib.Path(__file__).parents[2] -RAWDATA_PATH = HERE / "new_commondata/STAR_2013_1JET_510GEV/rawdata/" +RAWDATA_PATH = HERE / f"new_commondata/STAR_{YEAR}_1JET_510GEV/rawdata/" def read_1jet_data(): @@ -46,6 +48,7 @@ def read_1jet_data(): df["ALL"] = all_data[r"Inclusive Jet $A_{LL}$"] df["stat"] = all_data[r"stat +"] df["syst"] = all_data[r"syst +"] + df["pol"] = POL_UNC * df["ALL"] print("1JET data loaded. Npoint: ", len(df)) return df @@ -72,6 +75,7 @@ def read_2jet_data(topology): df["ALL"] = all_data[r"Dijet $A_{LL}$, topology " + topology] df["stat"] = all_data[r"stat +"] df["syst"] = all_data[r"syst +"] + df["pol"] = POL_UNC * df["ALL"] print(f"2JET {topology} data loaded. Npoint: ", len(df)) return df @@ -121,7 +125,7 @@ def read_correlations(ndata_dict): def write_1jet_data(df, art_sys): - STORE_PATH = HERE / "new_commondata/STAR_2013_1JET_510GEV/" + STORE_PATH = HERE / f"new_commondata/STAR_{YEAR}_1JET_510GEV/" # Write central data data_central_yaml = {"data_central": list(df["ALL"])} @@ -151,10 +155,18 @@ def write_1jet_data(df, art_sys): # Write unc file error = [] - error_definition = {} + error_definition = { + "pol": { + "description": "beam polarization uncertainty", + "treatment": "MULT", + "type": f"STAR{YEAR}POL", + }, + } # loop on data points for i, sys_i in enumerate(art_sys): - e = {} + e = { + "pol": float(df.loc[i, "pol"]) + } # loop on art sys for j, val in enumerate(sys_i): e[f"sys_{j}"] = val @@ -165,7 +177,7 @@ def write_1jet_data(df, art_sys): f"sys_{j}": { "description": f"{j} artificial correlated statistical + systematics uncertainty", "treatment": "ADD", - "type": f"STAR2013JETunc{j}", + "type": f"STAR{YEAR}JETunc{j}", } for j in range(len(sys_i)) } @@ -178,7 +190,7 @@ def write_1jet_data(df, art_sys): def write_2jet_data(df, topology, art_sys): - STORE_PATH = HERE / f"new_commondata/STAR_2013_2JET_{topology}_510GEV/" + STORE_PATH = HERE / f"new_commondata/STAR_{YEAR}_2JET_{topology}_510GEV/" # Write central data data_central_yaml = {"data_central": list(df["ALL"])} with open(STORE_PATH / "data.yaml", "w", encoding="utf-8") as file: @@ -207,15 +219,22 @@ def write_2jet_data(df, topology, art_sys): "description": "statistical uncertainty", "treatment": "ADD", "type": "UNCORR", - } + }, + "pol": { + "description": "beam polarization uncertainty", + "treatment": "MULT", + "type": f"STAR{YEAR}POL", + }, } # loop on data points for i, sys_i in enumerate(art_sys): - e = {} + e = { + "stat": float(df.loc[i, "stat"]), + "pol": float(df.loc[i, "pol"]), + } # loop on art sys for j, val in enumerate(sys_i): e[f"sys_{j}"] = val - e["stat"] = float(df.loc[i, "stat"]) error.append(e) if i == 0: @@ -224,7 +243,7 @@ def write_2jet_data(df, topology, art_sys): f"sys_{j}": { "description": f"{j} artificial correlated systematics uncertainty", "treatment": "ADD", - "type": f"STAR2013JETunc{j}", + "type": f"STAR{YEAR}JETunc{j}", } for j in range(len(sys_i)) } diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/uncertainties.yaml index 66f5ccb38f..b9a701233d 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/uncertainties.yaml @@ -1,4 +1,8 @@ definitions: + pol: + description: beam polarization uncertainty + treatment: MULT + type: STAR2013POL sys_0: description: 0 artificial correlated statistical + systematics uncertainty treatment: ADD @@ -252,7 +256,8 @@ definitions: treatment: ADD type: STAR2013JETunc62 bins: -- sys_0: -8.959677092850805e-10 +- pol: 0.00040064 + sys_0: -8.959677092850805e-10 sys_1: 9.832716726753248e-09 sys_2: 6.730954169673362e-08 sys_3: -5.428657179727165e-07 @@ -315,7 +320,8 @@ bins: sys_60: -1.5836833053327163e-07 sys_61: 1.695949026719929e-08 sys_62: 4.068655178934001e-08 -- sys_0: -1.202440186311471e-09 +- pol: 0.00016512 + sys_0: -1.202440186311471e-09 sys_1: 1.2813446483400317e-08 sys_2: 8.81050970897512e-08 sys_3: -7.651365162959538e-07 @@ -378,7 +384,8 @@ bins: sys_60: -5.563404474063423e-07 sys_61: 1.5882781871113175e-07 sys_62: 1.476017840728621e-07 -- sys_0: -2.029626906402448e-09 +- pol: 0.00017728 + sys_0: -2.029626906402448e-09 sys_1: 1.7836760297927526e-08 sys_2: 1.0627274752256677e-07 sys_3: -6.054955069288028e-07 @@ -441,7 +448,8 @@ bins: sys_60: -2.0567211467696776e-06 sys_61: 8.583540740030501e-07 sys_62: 1.5503622047436774e-07 -- sys_0: -2.317611030883938e-09 +- pol: -4.8e-05 + sys_0: -2.317611030883938e-09 sys_1: 2.0103077754186072e-08 sys_2: 1.221490288409029e-07 sys_3: -7.422699405430424e-07 @@ -504,7 +512,8 @@ bins: sys_60: -1.967785012922417e-06 sys_61: 1.7222827306715096e-06 sys_62: -9.247304481271197e-07 -- sys_0: -5.794556391557737e-09 +- pol: -5.44e-05 + sys_0: -5.794556391557737e-09 sys_1: 4.184211349903503e-08 sys_2: 2.6618567237308233e-07 sys_3: -5.449466410914053e-06 @@ -567,7 +576,8 @@ bins: sys_60: -7.061283646972085e-07 sys_61: 2.2522518080254573e-06 sys_62: -1.0715258476286533e-06 -- sys_0: -1.3031478055734842e-06 +- pol: 0.00028416000000000004 + sys_0: -1.3031478055734842e-06 sys_1: 2.5765217725622465e-06 sys_2: 4.098773110280467e-06 sys_3: -8.01560224988077e-06 @@ -630,7 +640,8 @@ bins: sys_60: 8.270492503029772e-06 sys_61: 1.0653144764978103e-05 sys_62: -3.301748478993185e-06 -- sys_0: -1.3645531518127146e-06 +- pol: 0.00019711999999999998 + sys_0: -1.3645531518127146e-06 sys_1: 4.007352188193593e-06 sys_2: 7.118280416455643e-06 sys_3: -1.4958116315466263e-05 @@ -693,7 +704,8 @@ bins: sys_60: 1.8126001515459303e-05 sys_61: 8.110592685806155e-06 sys_62: -2.9470442625980592e-06 -- sys_0: -4.410061141775246e-06 +- pol: 0.00036608 + sys_0: -4.410061141775246e-06 sys_1: 8.827712539715316e-06 sys_2: 1.5915934216203423e-05 sys_3: -2.789440215473183e-05 @@ -756,7 +768,8 @@ bins: sys_60: 1.998243534936237e-05 sys_61: 1.9118831698037573e-06 sys_62: -3.1450946824362763e-06 -- sys_0: -9.131724744467474e-06 +- pol: 0.00064512 + sys_0: -9.131724744467474e-06 sys_1: 1.863235365253899e-05 sys_2: 3.3956019925427964e-05 sys_3: -6.41123490746426e-05 @@ -819,7 +832,8 @@ bins: sys_60: 1.2981714818282402e-05 sys_61: -2.652476147993337e-06 sys_62: -2.631173820600041e-06 -- sys_0: -2.435929877389478e-05 +- pol: 0.0006611200000000001 + sys_0: -2.435929877389478e-05 sys_1: 4.385340201952634e-05 sys_2: 8.054820474610805e-05 sys_3: -0.00016574335050612704 @@ -882,7 +896,8 @@ bins: sys_60: 5.8275712061147025e-06 sys_61: -3.855018491750307e-06 sys_62: -1.9427906611187093e-06 -- sys_0: -6.0544102812491e-05 +- pol: 0.0007993599999999999 + sys_0: -6.0544102812491e-05 sys_1: 0.00010598849026939544 sys_2: 0.00021379958305045062 sys_3: -0.003165879692769455 @@ -945,7 +960,8 @@ bins: sys_60: 1.6964110742333556e-06 sys_61: -3.2070331988170936e-06 sys_62: -1.2278020423447078e-06 -- sys_0: -0.0001577103692828836 +- pol: 0.0011673599999999999 + sys_0: -0.0001577103692828836 sys_1: 0.00029912242658556974 sys_2: 0.004808687956200867 sys_3: 0.0001884540779062149 @@ -1008,7 +1024,8 @@ bins: sys_60: 1.2190753075267697e-07 sys_61: -1.970881120092344e-06 sys_62: -5.924851514078511e-07 -- sys_0: -0.00045504371463879224 +- pol: 0.0014112 + sys_0: -0.00045504371463879224 sys_1: 0.007914936126560801 sys_2: -0.00022897842682166285 sys_3: 5.616507642207872e-05 @@ -1071,7 +1088,8 @@ bins: sys_60: -1.827586030334612e-07 sys_61: -8.847799754759238e-07 sys_62: -1.3186838446226118e-07 -- sys_0: -0.014037407329102298 +- pol: 0.00289728 + sys_0: -0.014037407329102298 sys_1: -0.0002905887232621964 sys_2: -6.535182661833837e-05 sys_3: 1.610446295864737e-05 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_A_510GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_A_510GEV/uncertainties.yaml index 5446b65e5e..0999d0879c 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_A_510GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_A_510GEV/uncertainties.yaml @@ -3,6 +3,10 @@ definitions: description: statistical uncertainty treatment: ADD type: UNCORR + pol: + description: beam polarization uncertainty + treatment: MULT + type: STAR2013POL sys_0: description: 0 artificial correlated systematics uncertainty treatment: ADD @@ -256,7 +260,9 @@ definitions: treatment: ADD type: STAR2013JETunc62 bins: -- sys_0: -1.8442665253564098e-08 +- stat: 0.00619 + pol: -0.00035072 + sys_0: -1.8442665253564098e-08 sys_1: 9.128062228545417e-08 sys_2: 3.0998812240715233e-07 sys_3: -8.292100410110618e-07 @@ -319,8 +325,9 @@ bins: sys_60: -3.1371552148566684e-05 sys_61: 1.2764542310865707e-05 sys_62: 4.157211360391717e-05 - stat: 0.00619 -- sys_0: -7.838875974830611e-08 +- stat: 0.00289 + pol: -7.04e-06 + sys_0: -7.838875974830611e-08 sys_1: 4.029804267681053e-07 sys_2: 1.4263812561994197e-06 sys_3: -3.8939531387546136e-06 @@ -383,8 +390,9 @@ bins: sys_60: -6.39056384823132e-07 sys_61: 2.510398468627605e-05 sys_62: -4.076207527766995e-05 - stat: 0.00289 -- sys_0: -2.8468150405070355e-08 +- stat: 0.00248 + pol: 0.0001056 + sys_0: -2.8468150405070355e-08 sys_1: 1.302892686669323e-07 sys_2: 4.2550586928508e-07 sys_3: -1.1352092280154899e-06 @@ -447,8 +455,9 @@ bins: sys_60: -1.659356688181353e-05 sys_61: -0.00011343535700925786 sys_62: 4.121418069420012e-05 - stat: 0.00248 -- sys_0: -4.6544610935439495e-08 +- stat: 0.00226 + pol: 8.256e-05 + sys_0: -4.6544610935439495e-08 sys_1: 2.3007219919492261e-07 sys_2: 7.952844513686009e-07 sys_3: -2.2010895231917295e-06 @@ -511,8 +520,9 @@ bins: sys_60: 0.00039882217593925715 sys_61: 7.783095322331932e-05 sys_62: 0.00021475672701815719 - stat: 0.00226 -- sys_0: -4.534138982447269e-08 +- stat: 0.00246 + pol: 0.00015872 + sys_0: -4.534138982447269e-08 sys_1: 2.2504896724296193e-07 sys_2: 7.917709026102204e-07 sys_3: -2.2773394791142846e-06 @@ -575,8 +585,9 @@ bins: sys_60: -0.00010081190334738222 sys_61: 5.942138370061235e-05 sys_62: 7.73366041438697e-05 - stat: 0.00246 -- sys_0: -4.500893914289471e-08 +- stat: 0.00311 + pol: 0.00037184 + sys_0: -4.500893914289471e-08 sys_1: 2.1858653897192284e-07 sys_2: 7.79153722769766e-07 sys_3: -3.8999508530680035e-06 @@ -639,8 +650,9 @@ bins: sys_60: -5.370716945167318e-05 sys_61: 4.2645383150428345e-05 sys_62: 3.0384184455649006e-05 - stat: 0.00311 -- sys_0: -5.7977978168794394e-08 +- stat: 0.00349 + pol: 0.00042624000000000004 + sys_0: -5.7977978168794394e-08 sys_1: 2.9729274345840024e-07 sys_2: 2.7849696168819077e-06 sys_3: -9.113767053801187e-06 @@ -703,8 +715,9 @@ bins: sys_60: -4.1975207047052955e-05 sys_61: 3.7530717355276765e-05 sys_62: 1.6831769406156224e-05 - stat: 0.00349 -- sys_0: -1.2307329310568736e-07 +- stat: 0.00472 + pol: 0.0007296000000000001 + sys_0: -1.2307329310568736e-07 sys_1: 1.8453058533627218e-06 sys_2: 8.128992279649453e-06 sys_3: -2.1360791660817124e-05 @@ -767,8 +780,9 @@ bins: sys_60: -1.543716474827684e-05 sys_61: 2.6851614975002303e-05 sys_62: 9.245856630486994e-06 - stat: 0.00472 -- sys_0: -2.012664434190439e-06 +- stat: 0.00659 + pol: 0.0011686399999999999 + sys_0: -2.012664434190439e-06 sys_1: 9.343738640456632e-06 sys_2: 2.656361359743435e-05 sys_3: -5.669800383147065e-05 @@ -831,8 +845,9 @@ bins: sys_60: -2.3889542914618593e-06 sys_61: 2.1225721477033618e-05 sys_62: 4.497841620233109e-06 - stat: 0.00659 -- sys_0: -1.1399876370921493e-05 +- stat: 0.01045 + pol: 0.00155584 + sys_0: -1.1399876370921493e-05 sys_1: 3.460208095882234e-05 sys_2: 8.128788330846539e-05 sys_3: -0.00012802581663518082 @@ -895,8 +910,9 @@ bins: sys_60: 3.63351039641335e-06 sys_61: 1.6236332789635498e-05 sys_62: 1.8094252933826653e-06 - stat: 0.01045 -- sys_0: -4.3391282027328335e-05 +- stat: 0.01633 + pol: 0.00232832 + sys_0: -4.3391282027328335e-05 sys_1: 0.00010733055374682666 sys_2: 0.00017349825516788553 sys_3: -0.0001483893206035633 @@ -959,8 +975,9 @@ bins: sys_60: 3.991462542170518e-06 sys_61: 1.1661958762446107e-05 sys_62: 1.6078432326039527e-06 - stat: 0.01633 -- sys_0: -0.0001582145343682221 +- stat: 0.02919 + pol: -0.0005049599999999999 + sys_0: -0.0001582145343682221 sys_1: 0.00023785644592245637 sys_2: 0.00018923810995146129 sys_3: -5.50796661204648e-05 @@ -1023,4 +1040,3 @@ bins: sys_60: 3.361462239576226e-06 sys_61: 7.42558601635741e-06 sys_62: 3.7190762696376226e-07 - stat: 0.02919 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_B_510GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_B_510GEV/uncertainties.yaml index 48671100f1..34be003f02 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_B_510GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_B_510GEV/uncertainties.yaml @@ -3,6 +3,10 @@ definitions: description: statistical uncertainty treatment: ADD type: UNCORR + pol: + description: beam polarization uncertainty + treatment: MULT + type: STAR2013POL sys_0: description: 0 artificial correlated systematics uncertainty treatment: ADD @@ -256,7 +260,9 @@ definitions: treatment: ADD type: STAR2013JETunc62 bins: -- sys_0: -3.468382363342568e-08 +- stat: 0.00533 + pol: 0.00024384 + sys_0: -3.468382363342568e-08 sys_1: 1.8121652909760799e-07 sys_2: 5.838496850963883e-07 sys_3: -1.278202755886677e-06 @@ -319,8 +325,9 @@ bins: sys_60: 4.047197054438378e-06 sys_61: 8.481225791663006e-06 sys_62: -2.2672083449213552e-05 - stat: 0.00533 -- sys_0: -9.090601444875332e-08 +- stat: 0.00213 + pol: 0.00019136 + sys_0: -9.090601444875332e-08 sys_1: 4.616157558012612e-07 sys_2: 1.473310204477202e-06 sys_3: -3.253544050445888e-06 @@ -383,8 +390,9 @@ bins: sys_60: -1.6689217101056417e-05 sys_61: -5.8887611946663265e-05 sys_62: 8.398314077938356e-05 - stat: 0.00213 -- sys_0: -8.530127204466283e-08 +- stat: 0.00173 + pol: -7.424000000000001e-05 + sys_0: -8.530127204466283e-08 sys_1: 4.29673266336131e-07 sys_2: 1.3304320577341956e-06 sys_3: -2.7424510030197946e-06 @@ -447,8 +455,9 @@ bins: sys_60: -1.0020824681028037e-05 sys_61: -3.614271020475976e-05 sys_62: 5.762533776139228e-05 - stat: 0.00173 -- sys_0: -1.1152205784023518e-07 +- stat: 0.00152 + pol: 0.00021504 + sys_0: -1.1152205784023518e-07 sys_1: 5.632982151226721e-07 sys_2: 1.7794589363130775e-06 sys_3: -3.901763354366608e-06 @@ -511,8 +520,9 @@ bins: sys_60: 6.696545217098689e-06 sys_61: -2.8427700023791145e-06 sys_62: -3.796889291143406e-05 - stat: 0.00152 -- sys_0: -1.1169536414096341e-07 +- stat: 0.00161 + pol: -3.84e-05 + sys_0: -1.1169536414096341e-07 sys_1: 5.629576028352181e-07 sys_2: 1.7886807965226788e-06 sys_3: -4.024141864189415e-06 @@ -575,8 +585,9 @@ bins: sys_60: 1.6886666669489538e-05 sys_61: -2.9083101908458806e-05 sys_62: -5.1363235548141263e-05 - stat: 0.00161 -- sys_0: -9.692271653941357e-08 +- stat: 0.00202 + pol: 9.855999999999999e-05 + sys_0: -9.692271653941357e-08 sys_1: 4.942929134532881e-07 sys_2: 1.6295369068757726e-06 sys_3: -5.38828173879068e-06 @@ -639,8 +650,9 @@ bins: sys_60: 6.0403851036709675e-05 sys_61: -0.0004464097568771295 sys_62: -0.0001278038928716919 - stat: 0.00202 -- sys_0: -1.1313231922673203e-07 +- stat: 0.00224 + pol: 0.0003968 + sys_0: -1.1313231922673203e-07 sys_1: 5.8776988624716e-07 sys_2: 3.6125771096691164e-06 sys_3: -1.1695883196356316e-05 @@ -703,8 +715,9 @@ bins: sys_60: -0.0003005852160424321 sys_61: 4.500395191151925e-05 sys_62: 4.6771652136488883e-05 - stat: 0.00224 -- sys_0: -1.765422887477046e-07 +- stat: 0.00297 + pol: 0.0005536 + sys_0: -1.765422887477046e-07 sys_1: 2.0551743805244367e-06 sys_2: 9.859150544691759e-06 sys_3: -2.5671912462627133e-05 @@ -767,8 +780,9 @@ bins: sys_60: -4.6494768247657085e-05 sys_61: 1.7096152684547416e-05 sys_62: 1.4871429582216254e-05 - stat: 0.00297 -- sys_0: -1.9304449086169784e-06 +- stat: 0.00406 + pol: 0.0005158399999999999 + sys_0: -1.9304449086169784e-06 sys_1: 1.0378470446209637e-05 sys_2: 3.1029803365074237e-05 sys_3: -6.549894697607971e-05 @@ -831,8 +845,9 @@ bins: sys_60: -1.7406162669139273e-05 sys_61: 1.327650826989918e-05 sys_62: 5.130470650393264e-06 - stat: 0.00406 -- sys_0: -1.2536445300773651e-05 +- stat: 0.00629 + pol: 0.00155392 + sys_0: -1.2536445300773651e-05 sys_1: 3.848548585424122e-05 sys_2: 8.518413112749595e-05 sys_3: -0.00013699497249401523 @@ -895,8 +910,9 @@ bins: sys_60: -5.1849677459285485e-06 sys_61: 9.499507298832599e-06 sys_62: 1.4754204121214294e-06 - stat: 0.00629 -- sys_0: -4.61630218202905e-05 +- stat: 0.00953 + pol: 0.0006803200000000001 + sys_0: -4.61630218202905e-05 sys_1: 0.00010734443625050014 sys_2: 0.0001717408755548584 sys_3: -0.00016221815284844744 @@ -959,8 +975,9 @@ bins: sys_60: -1.2876064761393513e-06 sys_61: 7.369730805066236e-06 sys_62: 1.6605655103780758e-06 - stat: 0.00953 -- sys_0: -0.0001384089360340667 +- stat: 0.01613 + pol: 0.00079872 + sys_0: -0.0001384089360340667 sys_1: 0.0002089501775235047 sys_2: 0.00017467888563264523 sys_3: -6.663960913198401e-05 @@ -1023,8 +1040,9 @@ bins: sys_60: 8.71874637829264e-07 sys_61: 5.524110967588213e-06 sys_62: -1.4181091930554394e-07 - stat: 0.01613 -- sys_0: -0.0005375590456296148 +- stat: 0.02978 + pol: 0.00322368 + sys_0: -0.0005375590456296148 sys_1: 0.0004247513096179986 sys_2: 0.00015231468989848919 sys_3: -9.557874948782496e-06 @@ -1087,4 +1105,3 @@ bins: sys_60: 1.1695134347538039e-06 sys_61: 2.658103853806848e-06 sys_62: -2.443905738359106e-06 - stat: 0.02978 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_C_510GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_C_510GEV/uncertainties.yaml index 5cad5c37f1..97100b4c63 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_C_510GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_C_510GEV/uncertainties.yaml @@ -3,6 +3,10 @@ definitions: description: statistical uncertainty treatment: ADD type: UNCORR + pol: + description: beam polarization uncertainty + treatment: MULT + type: STAR2013POL sys_0: description: 0 artificial correlated systematics uncertainty treatment: ADD @@ -256,7 +260,9 @@ definitions: treatment: ADD type: STAR2013JETunc62 bins: -- sys_0: -4.100959127774964e-07 +- stat: 0.00785 + pol: -0.0007392 + sys_0: -4.100959127774964e-07 sys_1: 1.222332698478793e-06 sys_2: 2.05687127807516e-06 sys_3: -2.77725532587735e-06 @@ -319,8 +325,9 @@ bins: sys_60: -1.0230387776613736e-06 sys_61: -3.751085452978378e-06 sys_62: 7.299765596649971e-06 - stat: 0.00785 -- sys_0: -1.8501931900701732e-06 +- stat: 0.00367 + pol: 4.8e-05 + sys_0: -1.8501931900701732e-06 sys_1: 5.816479741016232e-06 sys_2: 1.117343944426216e-05 sys_3: -1.943884003271612e-05 @@ -383,8 +390,9 @@ bins: sys_60: 2.731883101018434e-06 sys_61: 3.3264670285405464e-06 sys_62: -5.3538188824715525e-06 - stat: 0.00367 -- sys_0: -7.06985540704637e-07 +- stat: 0.00317 + pol: -0.00018752 + sys_0: -7.06985540704637e-07 sys_1: 2.047809323259492e-06 sys_2: 3.206126094091834e-06 sys_3: -3.778024757558471e-06 @@ -447,8 +455,9 @@ bins: sys_60: -3.418545784311553e-05 sys_61: -0.00010871292664295478 sys_62: 0.00022180010222988035 - stat: 0.00317 -- sys_0: -1.1394923825192585e-06 +- stat: 0.00291 + pol: 1.1520000000000002e-05 + sys_0: -1.1394923825192585e-06 sys_1: 3.3584175291326274e-06 sys_2: 5.517441427429289e-06 sys_3: -7.297753969531229e-06 @@ -511,8 +520,9 @@ bins: sys_60: -3.37279365826982e-06 sys_61: -1.4817865796535135e-05 sys_62: 2.8882203891701888e-05 - stat: 0.00291 -- sys_0: -1.0055431921622787e-06 +- stat: 0.00317 + pol: 0.00041920000000000005 + sys_0: -1.0055431921622787e-06 sys_1: 2.9559665736729617e-06 sys_2: 4.835313364366917e-06 sys_3: -6.410561126285684e-06 @@ -575,8 +585,9 @@ bins: sys_60: -6.186834091481266e-06 sys_61: -1.227527713162412e-05 sys_62: 2.2732328432324687e-05 - stat: 0.00317 -- sys_0: -7.982530653253943e-07 +- stat: 0.004 + pol: 0.00062016 + sys_0: -7.982530653253943e-07 sys_1: 2.3526122878835294e-06 sys_2: 3.903999488363647e-06 sys_3: -6.7250939136590844e-06 @@ -639,8 +650,9 @@ bins: sys_60: -8.397690773759385e-06 sys_61: -8.543634712615092e-06 sys_62: 1.3946435744793562e-05 - stat: 0.004 -- sys_0: -7.629582335717668e-07 +- stat: 0.00448 + pol: 0.00052288 + sys_0: -7.629582335717668e-07 sys_1: 2.2930528290573246e-06 sys_2: 5.4168186296954345e-06 sys_3: -1.1521822404605969e-05 @@ -703,8 +715,9 @@ bins: sys_60: -1.1344199970790662e-05 sys_61: -6.176472510453034e-06 sys_62: 1.1343586365878917e-05 - stat: 0.00448 -- sys_0: -7.196379769948711e-07 +- stat: 0.00603 + pol: 0.00084288 + sys_0: -7.196379769948711e-07 sys_1: 3.841066107188445e-06 sys_2: 1.055275654751577e-05 sys_3: -2.3505677078248793e-05 @@ -767,8 +780,9 @@ bins: sys_60: -9.657525107045734e-06 sys_61: -2.473546456533126e-06 sys_62: 9.664290940358064e-06 - stat: 0.00603 -- sys_0: -3.056381573146764e-06 +- stat: 0.00833 + pol: 0.00119424 + sys_0: -3.056381573146764e-06 sys_1: 1.2227822520879637e-05 sys_2: 3.067532258845744e-05 sys_3: -6.182161856473645e-05 @@ -831,8 +845,9 @@ bins: sys_60: -5.5805023499457726e-06 sys_61: -7.696888764256736e-07 sys_62: 8.032471762559063e-06 - stat: 0.00833 -- sys_0: -1.3933736532744972e-05 +- stat: 0.01292 + pol: 0.00109568 + sys_0: -1.3933736532744972e-05 sys_1: 4.263267579515523e-05 sys_2: 9.349430373992513e-05 sys_3: -0.00014947342696182536 @@ -895,8 +910,9 @@ bins: sys_60: -2.5687936172409604e-06 sys_61: -7.375829581369488e-07 sys_62: 6.7171731111360795e-06 - stat: 0.01292 -- sys_0: -5.2224816543540025e-05 +- stat: 0.01964 + pol: 0.00086848 + sys_0: -5.2224816543540025e-05 sys_1: 0.00011437109584364653 sys_2: 0.00017185485398267633 sys_3: -0.00015990244471292175 @@ -959,8 +975,9 @@ bins: sys_60: -1.4005437598397512e-06 sys_61: -3.8814180019798167e-07 sys_62: 5.229117363656164e-06 - stat: 0.01964 -- sys_0: -0.0001821538669113795 +- stat: 0.03322 + pol: -0.000368 + sys_0: -0.0001821538669113795 sys_1: 0.0002428086358083653 sys_2: 0.00019902420286007486 sys_3: -8.13456580794403e-05 @@ -1023,4 +1040,3 @@ bins: sys_60: -6.366318509114538e-07 sys_61: -5.462137045590656e-07 sys_62: 3.685235162290462e-06 - stat: 0.03322 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_D_510GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_D_510GEV/uncertainties.yaml index d42156ea47..0266f9664b 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_D_510GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_D_510GEV/uncertainties.yaml @@ -3,6 +3,10 @@ definitions: description: statistical uncertainty treatment: ADD type: UNCORR + pol: + description: beam polarization uncertainty + treatment: MULT + type: STAR2013POL sys_0: description: 0 artificial correlated systematics uncertainty treatment: ADD @@ -256,7 +260,9 @@ definitions: treatment: ADD type: STAR2013JETunc62 bins: -- sys_0: -8.246189673601546e-07 +- stat: 0.00466 + pol: 0.00067072 + sys_0: -8.246189673601546e-07 sys_1: 2.7810751638783183e-06 sys_2: 5.956720831913832e-06 sys_3: -1.0838703833264454e-05 @@ -319,8 +325,9 @@ bins: sys_60: -3.0660881959271824e-06 sys_61: -3.6611611954781142e-06 sys_62: 1.0567798499199847e-05 - stat: 0.00466 -- sys_0: -4.997327691153951e-07 +- stat: 0.00302 + pol: 0.00018944 + sys_0: -4.997327691153951e-07 sys_1: 1.6284178687517042e-06 sys_2: 3.2440683053073596e-06 sys_3: -5.150821434796478e-06 @@ -383,8 +390,9 @@ bins: sys_60: 0.00010975604708626198 sys_61: 0.00013061098342344492 sys_62: -0.00035837619026315103 - stat: 0.00302 -- sys_0: -1.2322595716463065e-06 +- stat: 0.00235 + pol: 0.00019648 + sys_0: -1.2322595716463065e-06 sys_1: 4.141704840515627e-06 sys_2: 8.792691224674361e-06 sys_3: -1.5727344202989926e-05 @@ -447,8 +455,9 @@ bins: sys_60: 4.1388149825313535e-06 sys_61: 4.3081557252252836e-06 sys_62: -1.06050585369882e-05 - stat: 0.00235 -- sys_0: -1.0343763729771366e-06 +- stat: 0.00229 + pol: -4.6080000000000006e-05 + sys_0: -1.0343763729771366e-06 sys_1: 3.447940072340132e-06 sys_2: 7.205331797379565e-06 sys_3: -1.2592714587816732e-05 @@ -511,8 +520,9 @@ bins: sys_60: 1.8895635002081768e-06 sys_61: 6.068278459572265e-06 sys_62: -1.4121347509033479e-05 - stat: 0.00229 -- sys_0: -7.546643274499027e-07 +- stat: 0.00278 + pol: 0.00010816000000000001 + sys_0: -7.546643274499027e-07 sys_1: 2.5077908840206717e-06 sys_2: 5.232506125093797e-06 sys_3: -9.242299083827163e-06 @@ -575,8 +585,9 @@ bins: sys_60: -1.5149318940855e-06 sys_61: 6.264837756251943e-06 sys_62: -1.3227487664635489e-05 - stat: 0.00278 -- sys_0: -6.659628598028416e-07 +- stat: 0.003 + pol: 0.00032063999999999997 + sys_0: -6.659628598028416e-07 sys_1: 2.23116447955261e-06 sys_2: 5.5323214912652514e-06 sys_3: -1.171632503570118e-05 @@ -639,8 +650,9 @@ bins: sys_60: -6.85368884955029e-06 sys_61: 6.0148326976299154e-06 sys_62: -1.2085082539939634e-05 - stat: 0.003 -- sys_0: -5.326099380504057e-07 +- stat: 0.00382 + pol: 0.00028352 + sys_0: -5.326099380504057e-07 sys_1: 1.8430676926367074e-06 sys_2: 7.2716645021494255e-06 sys_3: -1.793980136868793e-05 @@ -703,8 +715,9 @@ bins: sys_60: -1.0294570952677303e-05 sys_61: 5.63901733156666e-06 sys_62: -7.81171189563106e-06 - stat: 0.00382 -- sys_0: -5.300674818349766e-07 +- stat: 0.005 + pol: 0.00056768 + sys_0: -5.300674818349766e-07 sys_1: 5.062211933315961e-06 sys_2: 1.4574894428516086e-05 sys_3: -3.456023453906574e-05 @@ -767,8 +780,9 @@ bins: sys_60: -1.0876528433439222e-05 sys_61: 5.7453234723213655e-06 sys_62: -3.899561231030796e-06 - stat: 0.005 -- sys_0: -3.5594850793009027e-06 +- stat: 0.00747 + pol: 0.0006303999999999999 + sys_0: -3.5594850793009027e-06 sys_1: 1.4357113530376482e-05 sys_2: 3.7395184608793296e-05 sys_3: -7.043219866239244e-05 @@ -831,8 +845,9 @@ bins: sys_60: -6.610002999156971e-06 sys_61: 5.333829130167809e-06 sys_62: -8.320501431985912e-07 - stat: 0.00747 -- sys_0: -1.5228455235119592e-05 +- stat: 0.01095 + pol: 0.00022464000000000002 + sys_0: -1.5228455235119592e-05 sys_1: 4.3147530546065046e-05 sys_2: 8.529090376974244e-05 sys_3: -0.00011654142142914013 @@ -895,8 +910,9 @@ bins: sys_60: -3.1398338596874393e-06 sys_61: 4.865736315018438e-06 sys_62: 2.5193919058972847e-07 - stat: 0.01095 -- sys_0: -5.221725858549406e-05 +- stat: 0.01797 + pol: 0.00201024 + sys_0: -5.221725858549406e-05 sys_1: 0.00011109036301678784 sys_2: 0.0001374635404968144 sys_3: -9.590510836923642e-05 @@ -959,8 +975,9 @@ bins: sys_60: -5.466021191329975e-07 sys_61: 3.588963334491905e-06 sys_62: 1.7969917942623896e-07 - stat: 0.01797 -- sys_0: -0.00022560839549655114 +- stat: 0.03187 + pol: 0.00071296 + sys_0: -0.00022560839549655114 sys_1: 0.00026503748033196044 sys_2: 0.00017282686211184703 sys_3: -5.236376776160493e-05 @@ -1023,4 +1040,3 @@ bins: sys_60: 8.255717064022164e-08 sys_61: 1.196554075827759e-06 sys_62: 5.0634969611676316e-08 - stat: 0.03187 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_WMWP_510GEV/rawdata/TableI.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_WMWP_510GEV/rawdata/TableI.csv new file mode 100644 index 0000000000..eae495e12d --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_WMWP_510GEV/rawdata/TableI.csv @@ -0,0 +1,13 @@ +process, etae, W-, W-, W-, W-, W-, W-, W+, W+, W+, W+, W+, W+ +W-, -1.27, 1.0, 0.006, 0.009, 0.010, 0.019, 0.007, -0.229, -0.006, -0.021, -0.021, -0.021, -0.001 +W-, -0.74, 0, 1, 0.024, 0.023, 0.041, 0.008, -0.013, 0.003, -0.022, -0.050, -0.027, -0.005 +W-, -0.27, 0, 0, 1, 0.019, 0.037, 0.005, -0.014, -0.017, -0.041, -0.049, -0.055, -0.003 +W-, 0.27, 0, 0, 0, 1, 0.031, 0.001, -0.011, -0.009, -0.029, -0.040, -0.039, -0.009 +W-, 0.74, 0, 0, 0, 0, 1, 0.014, -0.017, -0.018, -0.054, -0.075, -0.062, -0.012 +W-, 1.27, 0, 0, 0, 0, 0, 1, -0.002, -0.004, -0.008, -0.015, -0.014, -0.238 +W+, -1.24, 0, 0, 0, 0, 0, 0, 1, 0.018, 0.035, 0.034, 0.040, 0.021 +W+, -0.72, 0, 0, 0, 0, 0, 0, 0, 1, 0.150, 0.146, 0.209, 0.010 +W+, -0.24, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0.190, 0.232, 0.026 +W+, 0.24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0.244, 0.030 +W+, 0.72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0.029 +W+, 1.24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1 \ No newline at end of file From 030f63e90e2b336e00d3e351e881194537e4529b Mon Sep 17 00:00:00 2001 From: giacomomagni Date: Thu, 16 May 2024 15:00:28 +0200 Subject: [PATCH 36/70] various fixes in 2009 1 JET data --- .../star/jet_dijet_2009_200gev.py | 155 +- .../star/jet_dijet_2013_510gev.py | 4 +- .../STAR_2009_1JET_200GEV/kinematics.yaml | 22 +- .../STAR_2009_1JET_200GEV/uncertainties.yaml | 2442 +++++++++-------- .../uncertainties.yaml | 559 ++-- .../uncertainties.yaml | 779 +++--- .../uncertainties.yaml | 773 +++--- .../uncertainties.yaml | 772 +++--- .../uncertainties.yaml | 768 +++--- 9 files changed, 3156 insertions(+), 3118 deletions(-) diff --git a/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2009_200gev.py b/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2009_200gev.py index a22f88ab01..f4ddf73b2c 100644 --- a/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2009_200gev.py +++ b/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2009_200gev.py @@ -13,6 +13,7 @@ TOPOPLOGY_LIST = ["I", "SS", "OS", "A", "B", "C"] POL_UNC = 0.065 LUMI_UNC = 0.0005 +YEAR = 2009 HERE = pathlib.Path(__file__).parents[2] @@ -21,11 +22,11 @@ def read_1jet_data(): df4 = pd.DataFrame() fnames = [ - "../../new_commondata/STAR_2009_1JET_200GEV/rawdata/Table_3_ALL.csv", - "../../new_commondata/STAR_2009_1JET_200GEV/rawdata/Table_3_pT.csv", - "../../new_commondata/STAR_2009_1JET_200GEV/rawdata/Table_4_ALL.csv", - "../../new_commondata/STAR_2009_1JET_200GEV/rawdata/Table_4_pT.csv", - "../../new_commondata/STAR_2009_1JET_200GEV/rawdata/Table_5.csv", + f"../../new_commondata/STAR_{YEAR}_1JET_200GEV/rawdata/Table_3_ALL.csv", + f"../../new_commondata/STAR_{YEAR}_1JET_200GEV/rawdata/Table_3_pT.csv", + f"../../new_commondata/STAR_{YEAR}_1JET_200GEV/rawdata/Table_4_ALL.csv", + f"../../new_commondata/STAR_{YEAR}_1JET_200GEV/rawdata/Table_4_pT.csv", + f"../../new_commondata/STAR_{YEAR}_1JET_200GEV/rawdata/Table_5.csv", ] for fname in fnames: @@ -43,8 +44,6 @@ def read_1jet_data(): df3["abs_eta_min"] = 0.0 df3["abs_eta_max"] = 0.5 - df3["abs_eta"] = (df3["abs_eta_min"] + df3["abs_eta_max"]) / 2 - df3["sqrts"] = 200 elif "4" in fname: dfi = pd.read_csv(fname) @@ -53,14 +52,13 @@ def read_1jet_data(): if "ALL" in fname: df4["ALL"] = dfi["$A_{LL}$"] - df3["stat_min"] = dfi["stat -"] - df3["stat_max"] = dfi["stat +"] - df3["sys_min"] = dfi["sys -"] - df3["sys_max"] = dfi["sys +"] + df4["stat_min"] = dfi["stat -"] + df4["stat_max"] = dfi["stat +"] + df4["sys_min"] = dfi["sys -"] + df4["sys_max"] = dfi["sys +"] df4["abs_eta_min"] = 0.5 - df4["abs_eta_max"] = 1.0 - df4["sqrts"] = 200 + df4["abs_eta_max"] = 1.0 elif "5" in fname: dfc_col = pd.read_csv(fname) @@ -81,16 +79,20 @@ def read_1jet_data(): df = pd.concat([df3, df4], ignore_index=True) - for i in range(len(df)): - df.loc[i, "stat"] = df.loc[i, "stat_max"] - df.loc[i, "sys"] = df.loc[i, "sys_max"] + df["stat"] = df["stat_max"] + df["sys"] = df["sys_max"] + df["pol"] = POL_UNC * df["ALL"] + df["sqrts"] = 200 + df["abs_eta"] = (df["abs_eta_min"] + df["abs_eta_max"]) / 2 return df, dfc def read_2jet_data(topology): - fname = f"../../new_commondata/STAR_2009_2JET_{topology}_200GEV/rawdata/Table.yaml" + fname = ( + f"../../new_commondata/STAR_{YEAR}_2JET_{topology}_200GEV/rawdata/Table.yaml" + ) df = pd.DataFrame() - with open(fname, "r") as file: + with open(fname, "r", encoding="utf-8") as file: data = yaml.safe_load(file) if topology in ["A", "B", "C"]: @@ -98,7 +100,6 @@ def read_2jet_data(topology): Gsub = data["dependent_variables"][0]["values"] for i in range(len(Msub)): - df = pd.concat( [ df, @@ -109,21 +110,18 @@ def read_2jet_data(topology): "ALL": [Gsub[i]["value"]], "stat": [Gsub[i]["errors"][0]["symerror"]], "sys": [Gsub[i]["errors"][1]["symerror"]], + "pol": [POL_UNC * Gsub[i]["value"]], } ), ], ignore_index=True, ) - df["m"] = (df["m_low"] + df["m_high"]) / 2 - df["sqrts"] = 200 - else: Msub = data["dependent_variables"][0]["values"] Gsub = data["dependent_variables"][1]["values"] for i in range(len(Msub)): - df = pd.concat( [ df, @@ -139,13 +137,13 @@ def read_2jet_data(topology): ], ignore_index=True, ) - df["sqrts"] = 200 + df["sqrts"] = 200 return df def write_1jet_data(df, art_sys): - STORE_PATH = "../../new_commondata/STAR_2009_1JET_200GEV/" + STORE_PATH = f"../../new_commondata/STAR_{YEAR}_1JET_200GEV/" # Write central data data_central_yaml = {"data_central": list(df["ALL"])} @@ -171,10 +169,16 @@ def write_1jet_data(df, art_sys): # Write unc file error = [] - error_definition = {} + error_definition = { + "pol": { + "description": "beam polarization uncertainty", + "treatment": "MULT", + "type": f"STAR{YEAR}POL", + } + } # loop on data points for i, sys_i in enumerate(art_sys): - e = {} + e = {"pol": float(df.loc[i, "pol"])} # loop on art sys for j, val in enumerate(sys_i): e[f"sys_{j}"] = val @@ -185,7 +189,7 @@ def write_1jet_data(df, art_sys): f"sys_{j}": { "description": f"{j} artificial correlated statistical + systematics uncertainty", "treatment": "ADD", - "type": f"STAR2009JETunc{j}", + "type": f"STAR{YEAR}JETunc{j}", } for j in range(len(sys_i)) } @@ -197,7 +201,7 @@ def write_1jet_data(df, art_sys): def write_2jet_data(df, topology, art_sys): - STORE_PATH = f"../../new_commondata/STAR_2009_2JET_{topology}_200GEV/" + STORE_PATH = f"../../new_commondata/STAR_{YEAR}_2JET_{topology}_200GEV/" # Write central data data_central_yaml = {"data_central": list(df["ALL"])} with open(STORE_PATH + "data.yaml", "w", encoding="utf-8") as file: @@ -227,61 +231,37 @@ def write_2jet_data(df, topology, art_sys): # Write unc file error = [] - if topology in ["A", "B", "C"]: - error_definition = { - "stat": {"description": "statistical uncertainty", "treatment": "ADD", "type": "UNCORR"} - } - # loop on data points - for i, sys_i in enumerate(art_sys): - e = {"stat": float(df.loc[i, "stat"])} - # loop on art sys - for j, val in enumerate(sys_i): - e[f"sys_{j}"] = val - error.append(e) - - if i == 0: - error_definition.update( - { - f"sys_{j}": { - "description": f"{j} artificial correlated systematics uncertainty", - "treatment": "ADD", - "type": f"STAR2009JETunc{j}", - } - for j in range(len(sys_i)) - } - ) - else: - error_definition = { - "stat": { - "description": "statistical uncertainty", - "treatment": "ADD", - "type": "UNCORR", - }, - "pol": { - "description": "polarization uncertainty", - "treatment": "MULT", - "type": "STAR2009POL", - }, - } - # loop on data points - for i, sys_i in enumerate(art_sys): - e = {"stat": float(df.loc[i, "stat"]), "pol": float(df.loc[i, "pol"])} - # loop on art sys - for j, val in enumerate(sys_i): - e[f"sys_{j}"] = val - error.append(e) - - if i == 0: - error_definition.update( - { - f"sys_{j}": { - "description": f"{j} artificial correlated systematics uncertainty", - "treatment": "ADD", - "type": f"STAR2009JETunc{j}", - } - for j in range(len(sys_i)) + error_definition = { + "stat": { + "description": "statistical uncertainty", + "treatment": "ADD", + "type": "UNCORR", + }, + "pol": { + "description": "beam polarization uncertainty", + "treatment": "MULT", + "type": f"STAR{YEAR}POL", + }, + } + # loop on data points + for i, sys_i in enumerate(art_sys): + e = {"stat": float(df.loc[i, "stat"]), "pol": float(df.loc[i, "pol"])} + # loop on art sys + for j, val in enumerate(sys_i): + e[f"sys_{j}"] = val + error.append(e) + + if i == 0: + error_definition.update( + { + f"sys_{j}": { + "description": f"{j} artificial correlated systematics uncertainty", + "treatment": "ADD", + "type": f"STAR{YEAR}JETunc{j}", } - ) + for j in range(len(sys_i)) + } + ) uncertainties_yaml = {"definitions": error_definition, "bins": error} with open(STORE_PATH + "uncertainties.yaml", "w", encoding="utf-8") as file: @@ -290,7 +270,7 @@ def write_2jet_data(df, topology, art_sys): if __name__ == "__main__": # load all the data - df, dfc = read_1jet_data() + df, _ = read_1jet_data() dfs = {"I": df} for topo in TOPOPLOGY_LIST[1:]: dfs[topo] = read_2jet_data(topo) @@ -298,12 +278,15 @@ def write_2jet_data(df, topology, art_sys): # load correlations ndata_dict = {a: len(b) for a, b in dfs.items()} correlation_df = pd.read_csv( - "../../new_commondata/STAR_2009_1JET_200GEV/rawdata/correlation.csv", index_col=0 + f"../../new_commondata/STAR_{YEAR}_1JET_200GEV/rawdata/correlation.csv", + index_col=0, ) # from the paper we understand that stat dijet is not correlated # I-I (stat + sys) | I-D (stat + sys) # D-I (stat + sys) | D-D (sys) - correlated_unc = np.sqrt(dfs["I"]["sys"] ** 2 + dfs["I"]["stat"] ** 2).values.tolist() + correlated_unc = np.sqrt( + dfs["I"]["sys"] ** 2 + dfs["I"]["stat"] ** 2 + ).values.tolist() for a in TOPOPLOGY_LIST[1:]: correlated_unc.extend(dfs[a]["sys"].values) ndata_points = np.sum((*ndata_dict.values(),)) diff --git a/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2013_510gev.py b/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2013_510gev.py index 18375c10a7..0c78c18086 100644 --- a/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2013_510gev.py +++ b/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2013_510gev.py @@ -164,9 +164,7 @@ def write_1jet_data(df, art_sys): } # loop on data points for i, sys_i in enumerate(art_sys): - e = { - "pol": float(df.loc[i, "pol"]) - } + e = {"pol": float(df.loc[i, "pol"])} # loop on art sys for j, val in enumerate(sys_i): e[f"sys_{j}"] = val diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/kinematics.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/kinematics.yaml index 1fbf402f69..aa80d7522d 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/kinematics.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/kinematics.yaml @@ -133,7 +133,7 @@ bins: min: null - abs_eta: max: 1.0 - mid: .nan + mid: 0.75 min: 0.5 pT: max: null @@ -145,7 +145,7 @@ bins: min: null - abs_eta: max: 1.0 - mid: .nan + mid: 0.75 min: 0.5 pT: max: null @@ -157,7 +157,7 @@ bins: min: null - abs_eta: max: 1.0 - mid: .nan + mid: 0.75 min: 0.5 pT: max: null @@ -169,7 +169,7 @@ bins: min: null - abs_eta: max: 1.0 - mid: .nan + mid: 0.75 min: 0.5 pT: max: null @@ -181,7 +181,7 @@ bins: min: null - abs_eta: max: 1.0 - mid: .nan + mid: 0.75 min: 0.5 pT: max: null @@ -193,7 +193,7 @@ bins: min: null - abs_eta: max: 1.0 - mid: .nan + mid: 0.75 min: 0.5 pT: max: null @@ -205,7 +205,7 @@ bins: min: null - abs_eta: max: 1.0 - mid: .nan + mid: 0.75 min: 0.5 pT: max: null @@ -217,7 +217,7 @@ bins: min: null - abs_eta: max: 1.0 - mid: .nan + mid: 0.75 min: 0.5 pT: max: null @@ -229,7 +229,7 @@ bins: min: null - abs_eta: max: 1.0 - mid: .nan + mid: 0.75 min: 0.5 pT: max: null @@ -241,7 +241,7 @@ bins: min: null - abs_eta: max: 1.0 - mid: .nan + mid: 0.75 min: 0.5 pT: max: null @@ -253,7 +253,7 @@ bins: min: null - abs_eta: max: 1.0 - mid: .nan + mid: 0.75 min: 0.5 pT: max: null diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/uncertainties.yaml index 05ff44bb88..3011139c8b 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/uncertainties.yaml @@ -1,4 +1,8 @@ definitions: + pol: + description: beam polarization uncertainty + treatment: MULT + type: STAR2009POL sys_0: description: 0 artificial correlated statistical + systematics uncertainty treatment: ADD @@ -220,1213 +224,1235 @@ definitions: treatment: ADD type: STAR2009JETunc54 bins: -- sys_0: 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-1.6791417730059264e-06 + sys_53: -1.3564390794808867e-06 + sys_54: -2.14135327408643e-06 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/uncertainties.yaml index ace19c9ccd..316794bffb 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/uncertainties.yaml @@ -3,6 +3,10 @@ definitions: description: statistical uncertainty treatment: ADD type: UNCORR + pol: + description: beam polarization uncertainty + treatment: MULT + type: STAR2009POL sys_0: description: 0 artificial correlated systematics uncertainty treatment: ADD @@ -225,282 +229,287 @@ definitions: type: STAR2009JETunc54 bins: - stat: 0.007 - sys_0: -2.9341441875924853e-09 - sys_1: 5.662769814057847e-09 - sys_2: 3.947516339994088e-08 - sys_3: 3.474259906408537e-08 - sys_4: -4.1987083112144685e-07 - sys_5: 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-5.8267907989462905e-06 + sys_53: -8.302888789428512e-06 + sys_54: -1.975275843016325e-07 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/uncertainties.yaml index 3f7c426fec..ec6c430437 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/uncertainties.yaml @@ -3,6 +3,10 @@ definitions: description: statistical uncertainty treatment: ADD type: UNCORR + pol: + description: beam polarization uncertainty + treatment: MULT + type: STAR2009POL sys_0: description: 0 artificial correlated systematics uncertainty treatment: ADD @@ -225,394 +229,401 @@ definitions: type: STAR2009JETunc54 bins: - stat: 0.011 - sys_0: -4.317226197359961e-06 - sys_1: 2.804090271238005e-06 - sys_2: 1.533190350417471e-05 - sys_3: 1.3248894278471846e-05 - sys_4: -3.970792674888402e-05 - sys_5: 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1.5894720189337258e-06 + sys_45: 2.827404061128979e-06 + sys_46: -1.1777475286095222e-06 + sys_47: 1.0061245075697067e-05 + sys_48: 5.307416038113322e-07 + sys_49: -2.1418956485365814e-07 + sys_50: -7.265846869735079e-07 + sys_51: -3.754872273980297e-06 + sys_52: -6.075513407388858e-06 + sys_53: -7.728853689758051e-06 + sys_54: -3.22709937560555e-09 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/uncertainties.yaml index 4fefae556b..4963e10c6c 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/uncertainties.yaml @@ -3,6 +3,10 @@ definitions: description: statistical uncertainty treatment: ADD type: UNCORR + pol: + description: beam polarization uncertainty + treatment: MULT + type: STAR2009POL sys_0: description: 0 artificial correlated systematics uncertainty treatment: 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b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_SS_200GEV/uncertainties.yaml @@ -4,7 +4,7 @@ definitions: treatment: ADD type: UNCORR pol: - description: polarization uncertainty + description: beam polarization uncertainty treatment: MULT type: STAR2009POL sys_0: @@ -230,400 +230,400 @@ definitions: bins: - stat: 0.0034 pol: 0.0004355 - sys_0: -1.274586879789524e-09 - sys_1: 5.120321055524734e-09 - sys_2: 6.386890279104146e-09 - sys_3: 1.6368391716771655e-08 - sys_4: -1.8765961851970036e-08 - sys_5: 5.2409634204267686e-08 - sys_6: 1.2667280621968831e-07 - sys_7: 1.0533077232802617e-07 - sys_8: -5.909593501639714e-08 - sys_9: -5.3705550597596395e-09 - sys_10: 1.878455105192114e-07 - sys_11: -6.805393160207615e-07 - sys_12: -2.1151478452123076e-07 - sys_13: -2.4291859665454397e-07 - sys_14: 3.4061535035915066e-07 - sys_15: -3.509073850662398e-07 - sys_16: -3.2485767379750544e-07 - sys_17: 1.281411980645475e-06 - sys_18: -3.6722707093442684e-06 - sys_19: 1.2322367810306649e-06 - 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sys_29: 2.8999198047488913e-07 + sys_30: -2.253258053254972e-07 + sys_31: 3.9601568719208075e-07 + sys_32: 1.5337045487717176e-07 + sys_33: -2.7504011631279344e-07 + sys_34: 1.2918837314709957e-06 + sys_35: -3.7971203852028345e-06 + sys_36: 5.698508820109633e-06 + sys_37: -3.018818384445657e-06 + sys_38: -9.12783504782493e-07 + sys_39: -1.0765605829953466e-05 + sys_40: 6.167187763725935e-06 + sys_41: -2.2195801791596086e-06 + sys_42: 4.406622240495831e-06 + sys_43: 1.982458690890039e-06 + sys_44: -2.4338295905271175e-07 + sys_45: -9.5816551240627e-07 + sys_46: -4.652151630609244e-07 + sys_47: -7.582886239261119e-06 + sys_48: -7.357573161494456e-07 + sys_49: 8.351743182244022e-07 + sys_50: -8.909902905486228e-06 + sys_51: -2.5005751958077052e-05 + sys_52: 1.5711433681083293e-05 + sys_53: 1.4611441526549908e-05 + sys_54: 1.8962497882454983e-05 From 0840309c55a9374df090d6351c78cf2d762d6fbe Mon Sep 17 00:00:00 2001 From: giacomomagni Date: Thu, 16 May 2024 15:11:33 +0200 Subject: [PATCH 37/70] make notation more uniform --- .../star/jet_dijet_2012_510gev.py | 4 +- .../star/jet_dijet_2015_200gev.py | 4 +- .../STAR_2012_1JET_510GEV/uncertainties.yaml | 1560 ++++++++--------- .../uncertainties.yaml | 1118 ++++++------ .../uncertainties.yaml | 1224 ++++++------- .../uncertainties.yaml | 1114 ++++++------ .../uncertainties.yaml | 1234 ++++++------- .../STAR_2015_1JET_200GEV/uncertainties.yaml | 2 +- .../uncertainties.yaml | 2 +- .../uncertainties.yaml | 2 +- .../STAR_WMWP_510GEV/rawdata/TableI.csv | 13 - 11 files changed, 3132 insertions(+), 3145 deletions(-) delete mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_WMWP_510GEV/rawdata/TableI.csv diff --git a/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2012_510gev.py b/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2012_510gev.py index a5e6c95dd2..dbf8810e09 100644 --- a/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2012_510gev.py +++ b/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2012_510gev.py @@ -154,7 +154,7 @@ def write_1jet_data(df, art_sys): "type": f"STAR{YEAR}LUMIUE", }, "pol": { - "description": "polarization uncertainty", + "description": "beam polarization uncertainty", "treatment": "MULT", "type": f"STAR{YEAR}POL", }, @@ -223,7 +223,7 @@ def write_2jet_data(df, topology, art_sys): "type": f"STAR{YEAR}LUMIUE", }, "pol": { - "description": "polarization uncertainty", + "description": "beam polarization uncertainty", "treatment": "MULT", "type": f"STAR{YEAR}POL", }, diff --git a/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2015_200gev.py b/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2015_200gev.py index 54eff99e2b..1ab48279a6 100644 --- a/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2015_200gev.py +++ b/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2015_200gev.py @@ -177,7 +177,7 @@ def write_1jet_data(df, art_sys): "type": f"STAR{YEAR}LUMI", }, "pol": { - "description": "polarization uncertainty", + "description": "beam polarization uncertainty", "treatment": "MULT", "type": f"STAR{YEAR}POL", }, @@ -246,7 +246,7 @@ def write_2jet_data(df, topology, art_sys): "type": f"STAR{YEAR}LUMI", }, "pol": { - "description": "polarization uncertainty", + "description": "beam polarization uncertainty", "treatment": "MULT", "type": f"STAR{YEAR}POL", }, diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/uncertainties.yaml index c739bb1293..980bcb0d3e 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/uncertainties.yaml @@ -4,7 +4,7 @@ definitions: treatment: ADD type: STAR2012LUMIUE pol: - description: polarization uncertainty + description: beam polarization uncertainty treatment: MULT type: STAR2012POL sys_0: @@ -234,813 +234,813 @@ definitions: bins: - lumi_ue: 0.000364 pol: 1.1285999999999999e-06 - sys_0: -8.307118087449861e-06 - sys_1: 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3.873154541500846e-10 + sys_53: 1.1239378569623433e-09 + sys_54: 1.3794245316759332e-09 + sys_55: 1.2540320616809989e-09 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_A_510GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_A_510GEV/uncertainties.yaml index b3d2a0bed4..5b579de570 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_A_510GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_A_510GEV/uncertainties.yaml @@ -8,7 +8,7 @@ definitions: treatment: ADD type: STAR2012LUMIUE pol: - description: polarization uncertainty + description: beam polarization uncertainty treatment: MULT type: STAR2012POL sys_0: @@ -239,590 +239,590 @@ bins: - stat: 0.0066 lumi_ue: 0.00025 pol: -0.0008448 - sys_0: -2.805509704053403e-07 - sys_1: -9.080946026723136e-07 - sys_2: -1.407599060571745e-06 - sys_3: -2.58940752425597e-07 - sys_4: -1.0691808461563776e-06 - sys_5: -4.536010215287258e-07 - sys_6: 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5.057035821136519e-09 + sys_53: -4.73378897547653e-09 + sys_54: -7.625033692997295e-09 + sys_55: -5.714486455339293e-09 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_B_510GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_B_510GEV/uncertainties.yaml index 73ada91996..dcc2c25a2d 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_B_510GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_B_510GEV/uncertainties.yaml @@ -8,7 +8,7 @@ definitions: treatment: ADD type: STAR2012LUMIUE pol: - description: polarization uncertainty + description: beam polarization uncertainty treatment: MULT type: STAR2012POL sys_0: @@ -239,649 +239,649 @@ bins: - stat: 0.0053 lumi_ue: 0.0004 pol: -0.0001518 - sys_0: -4.902699695448591e-07 - sys_1: -9.667668405608408e-07 - sys_2: -1.5946010176743313e-06 - sys_3: -3.0465509550549473e-07 - sys_4: -1.2640171400177132e-06 - sys_5: -6.928951928115747e-07 - sys_6: 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a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_D_510GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_D_510GEV/uncertainties.yaml @@ -8,7 +8,7 @@ definitions: treatment: ADD type: STAR2012LUMIUE pol: - description: polarization uncertainty + description: beam polarization uncertainty treatment: MULT type: STAR2012POL sys_0: @@ -239,649 +239,649 @@ bins: - stat: 0.0161 lumi_ue: 0.00131 pol: 0.00035640000000000004 - sys_0: -2.3154113365218819e-07 - sys_1: -3.7267138112821394e-07 - sys_2: -4.938278337538548e-07 - sys_3: -1.9105505580524943e-08 - sys_4: -3.71179059434131e-07 - sys_5: -2.661581999735158e-07 - sys_6: -4.0325055626736195e-07 - sys_7: 1.0504709968466284e-07 - sys_8: 4.0292269124092077e-07 - sys_9: -5.036540997113695e-07 - sys_10: 3.231699427928327e-07 - sys_11: 1.85288862173259e-07 - sys_12: -4.9996980553325e-07 - sys_13: 7.823987848697804e-07 - sys_14: 1.6657487304900722e-07 - sys_15: -1.0413202313613613e-06 - sys_16: 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sys_31: 5.319591825335949e-07 - sys_32: -5.3722987988595e-07 - sys_33: -1.118083000905433e-06 - sys_34: 1.4774644867346329e-07 - sys_35: -8.871044790525259e-07 - sys_36: 9.143889491935902e-09 - sys_37: 6.866520829349101e-07 - sys_38: 1.151286548066188e-08 - sys_39: 5.937089612155706e-07 - sys_40: 6.162087831629744e-07 - sys_41: 9.206009972349796e-08 - sys_42: 4.8342680643373803e-08 - sys_43: -9.355065654867285e-09 - sys_44: 6.393413859155355e-08 - sys_45: -4.6977023058533314e-08 - sys_46: -1.4995361978283547e-08 - sys_47: -3.041193870623935e-07 - sys_48: 8.54692434612174e-08 - sys_49: -1.8316145562561607e-08 - sys_50: 6.202278518462283e-08 - sys_51: -1.649431626782716e-08 - sys_52: 1.1828217804672864e-08 - sys_53: -4.714010101532377e-09 - sys_54: -9.52101868262452e-09 - sys_55: -7.908290426298496e-09 + sys_0: -0.0002353037952245309 + sys_1: -0.00036830730606138024 + sys_2: 9.291108786405641e-05 + sys_3: -0.00026115335142695966 + sys_4: 0.00021075523705060408 + sys_5: -9.676006479568943e-05 + sys_6: 0.00036373591523841453 + sys_7: 0.0026145815906941944 + sys_8: 0.0007305503029863315 + sys_9: -2.912491603867989e-05 + sys_10: -2.9078723566267203e-06 + sys_11: -9.61933362187506e-06 + sys_12: -8.094677789110515e-05 + sys_13: 6.489923988253502e-05 + sys_14: -5.440215890909567e-05 + sys_15: 1.2468583215232634e-05 + sys_16: -1.6536855235626036e-06 + sys_17: -1.4293319393960597e-05 + sys_18: 8.828802204183915e-06 + sys_19: 3.4938933554401847e-06 + sys_20: 1.7404826469641243e-06 + sys_21: -3.3525223975719524e-05 + sys_22: 6.07187336964375e-07 + sys_23: -6.498961405769061e-07 + sys_24: 8.704036262423727e-07 + sys_25: -9.914578391753282e-07 + sys_26: 5.404568769037833e-06 + sys_27: -4.1561505443783717e-07 + sys_28: -5.84640243140985e-06 + sys_29: 7.798725876953713e-07 + sys_30: -3.940788446788026e-07 + sys_31: 5.319591825335496e-07 + sys_32: -5.372298798859224e-07 + sys_33: -1.118083000905457e-06 + sys_34: 1.4774644867348388e-07 + sys_35: -8.871044790525757e-07 + sys_36: 9.143889491996847e-09 + sys_37: 6.866520829348929e-07 + sys_38: 1.1512865480641473e-08 + sys_39: 5.937089612155762e-07 + sys_40: 6.162087831629411e-07 + sys_41: 9.20600997234738e-08 + sys_42: 4.834268064336428e-08 + sys_43: -9.35506565487487e-09 + sys_44: 6.393413859152546e-08 + sys_45: -4.697702305855357e-08 + sys_46: -1.499536197825626e-08 + sys_47: 3.0411938706239006e-07 + sys_48: 8.546924346123226e-08 + sys_49: -1.8316145562551433e-08 + sys_50: 6.202278518461742e-08 + sys_51: -1.649431626780826e-08 + sys_52: 1.1828217804666922e-08 + sys_53: -4.714010101544476e-09 + sys_54: -9.521018682603238e-09 + sys_55: -7.908290426262239e-09 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/uncertainties.yaml index 60b5034dc8..912fac3252 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/uncertainties.yaml @@ -4,7 +4,7 @@ definitions: treatment: ADD type: STAR2015LUMI pol: - description: polarization uncertainty + description: beam polarization uncertainty treatment: MULT type: STAR2015POL sys_0: diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_OS_200GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_OS_200GEV/uncertainties.yaml index 81e755f78e..27059f57b1 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_OS_200GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_OS_200GEV/uncertainties.yaml @@ -8,7 +8,7 @@ definitions: treatment: ADD type: STAR2015LUMI pol: - description: polarization uncertainty + description: beam polarization uncertainty treatment: MULT type: STAR2015POL sys_0: diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_SS_200GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_SS_200GEV/uncertainties.yaml index edb145df81..3f48767aa6 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_SS_200GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_SS_200GEV/uncertainties.yaml @@ -8,7 +8,7 @@ definitions: treatment: ADD type: STAR2015LUMI pol: - description: polarization uncertainty + description: beam polarization uncertainty treatment: MULT type: STAR2015POL sys_0: diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_WMWP_510GEV/rawdata/TableI.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_WMWP_510GEV/rawdata/TableI.csv deleted file mode 100644 index eae495e12d..0000000000 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_WMWP_510GEV/rawdata/TableI.csv +++ /dev/null @@ -1,13 +0,0 @@ -process, etae, W-, W-, W-, W-, W-, W-, W+, W+, W+, W+, W+, W+ -W-, -1.27, 1.0, 0.006, 0.009, 0.010, 0.019, 0.007, -0.229, -0.006, -0.021, -0.021, -0.021, -0.001 -W-, -0.74, 0, 1, 0.024, 0.023, 0.041, 0.008, -0.013, 0.003, -0.022, -0.050, -0.027, -0.005 -W-, -0.27, 0, 0, 1, 0.019, 0.037, 0.005, -0.014, -0.017, -0.041, -0.049, -0.055, -0.003 -W-, 0.27, 0, 0, 0, 1, 0.031, 0.001, -0.011, -0.009, -0.029, -0.040, -0.039, -0.009 -W-, 0.74, 0, 0, 0, 0, 1, 0.014, -0.017, -0.018, -0.054, -0.075, -0.062, -0.012 -W-, 1.27, 0, 0, 0, 0, 0, 1, -0.002, -0.004, -0.008, -0.015, -0.014, -0.238 -W+, -1.24, 0, 0, 0, 0, 0, 0, 1, 0.018, 0.035, 0.034, 0.040, 0.021 -W+, -0.72, 0, 0, 0, 0, 0, 0, 0, 1, 0.150, 0.146, 0.209, 0.010 -W+, -0.24, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0.190, 0.232, 0.026 -W+, 0.24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0.244, 0.030 -W+, 0.72, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0.029 -W+, 1.24, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1 \ No newline at end of file From 63b17604b2ceaf55ea23dd6a5f2332ea63363b2f Mon Sep 17 00:00:00 2001 From: giacomomagni Date: Thu, 16 May 2024 15:25:11 +0200 Subject: [PATCH 38/70] Add beam pol error to phenix --- .../PHENIX_1JET_200GEV/filter.py | 10 ++++-- .../PHENIX_1JET_200GEV/kinematics.yaml | 32 +++++++++---------- .../PHENIX_1JET_200GEV/uncertainties.yaml | 12 +++++++ 3 files changed, 36 insertions(+), 18 deletions(-) diff --git a/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/filter.py b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/filter.py index 4542947712..354ca7c419 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/filter.py +++ b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/filter.py @@ -3,6 +3,7 @@ import pandas as pd import yaml +POL_UNC = 0.094 def read_data(fnames): df = pd.DataFrame() @@ -35,6 +36,7 @@ def read_data(fnames): ignore_index=True, ) + df["pol"] = POL_UNC * abs(df["ALL"]) return df @@ -73,11 +75,15 @@ def write_data(df): # Write unc file error = [] for i in range(len(df)): - e = {"stat": float(df.loc[i, "stat"])} + e = { + "stat": float(df.loc[i, "stat"]), + "pol": float(df.loc[i, "pol"]) + } error.append(e) error_definition = { - "stat": {"description": "statistical uncertainty", "treatment": "ADD", "type": "UNCORR"} + "stat": {"description": "statistical uncertainty", "treatment": "ADD", "type": "UNCORR"}, + "pol": {"description": "beam polarization uncertainty", "treatment": "MULT", "type": "PHENIXPOL"} } uncertainties_yaml = {"definitions": error_definition, "bins": error} diff --git a/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/kinematics.yaml b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/kinematics.yaml index 45e1315eb4..0d4a0e41b3 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/kinematics.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/kinematics.yaml @@ -8,9 +8,9 @@ bins: mid: 200.0 max: null eta: - min: null + min: -0.35 mid: 0.0 - max: null + max: 0.35 - pT: min: 3.0 mid: 3.4 @@ -20,9 +20,9 @@ bins: mid: 200.0 max: null eta: - min: null + min: -0.35 mid: 0.0 - max: null + max: 0.35 - pT: min: 4.0 mid: 4.4 @@ -32,9 +32,9 @@ bins: mid: 200.0 max: null eta: - min: null + min: -0.35 mid: 0.0 - max: null + max: 0.35 - pT: min: 5.0 mid: 5.4 @@ -44,9 +44,9 @@ bins: mid: 200.0 max: null eta: - min: null + min: -0.35 mid: 0.0 - max: null + max: 0.35 - pT: min: 6.0 mid: 6.4 @@ -56,9 +56,9 @@ bins: mid: 200.0 max: null eta: - min: null + min: -0.35 mid: 0.0 - max: null + max: 0.35 - pT: min: 7.0 mid: 7.4 @@ -68,9 +68,9 @@ bins: mid: 200.0 max: null eta: - min: null + min: -0.35 mid: 0.0 - max: null + max: 0.35 - pT: min: 8.0 mid: 8.8 @@ -80,9 +80,9 @@ bins: mid: 200.0 max: null eta: - min: null + min: -0.35 mid: 0.0 - max: null + max: 0.35 - pT: min: 10.0 mid: 10.8 @@ -92,6 +92,6 @@ bins: mid: 200.0 max: null eta: - min: null + min: -0.35 mid: 0.0 - max: null + max: 0.35 diff --git a/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/uncertainties.yaml index 6b799cce3d..75b9112af7 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/uncertainties.yaml @@ -3,12 +3,24 @@ definitions: description: statistical uncertainty treatment: ADD type: UNCORR + pol: + description: beam polarization uncertainty + treatment: MULT + type: PHENIXPOL bins: - stat: 7.7e-05 + pol: 6.58e-05 - stat: 0.00082 + pol: 0.00036659999999999997 - stat: 0.00052 + pol: 0.0001316 - stat: 0.0003 + pol: 4.7000000000000004e-05 - stat: 0.0052 + pol: 0.0005451999999999999 - stat: 0.0045 + pol: 0.00031959999999999996 - stat: 0.012 + pol: 0.0007238 - stat: 0.051 + pol: 0.0017014 From 4f5460e084db5738d65a08ac9819922d7e97a6f1 Mon Sep 17 00:00:00 2001 From: giacomomagni Date: Thu, 16 May 2024 15:30:00 +0200 Subject: [PATCH 39/70] remove minus sign from pol unc --- .../filter_utils/star/jet_dijet_2009_200gev.py | 6 +++--- .../filter_utils/star/jet_dijet_2012_510gev.py | 4 ++-- .../filter_utils/star/jet_dijet_2013_510gev.py | 4 ++-- .../filter_utils/star/jet_dijet_2015_200gev.py | 4 ++-- .../STAR_2009_2JET_A_200GEV/uncertainties.yaml | 2 +- .../STAR_2009_2JET_B_200GEV/uncertainties.yaml | 4 ++-- .../STAR_2009_2JET_C_200GEV/uncertainties.yaml | 2 +- .../STAR_2009_2JET_OS_200GEV/uncertainties.yaml | 2 +- .../STAR_2012_1JET_510GEV/uncertainties.yaml | 4 ++-- .../STAR_2012_2JET_A_510GEV/uncertainties.yaml | 8 ++++---- .../STAR_2012_2JET_B_510GEV/uncertainties.yaml | 12 ++++++------ .../STAR_2012_2JET_C_510GEV/uncertainties.yaml | 6 +++--- .../STAR_2012_2JET_D_510GEV/uncertainties.yaml | 8 ++++---- .../STAR_2013_1JET_510GEV/uncertainties.yaml | 4 ++-- .../STAR_2013_2JET_A_510GEV/uncertainties.yaml | 6 +++--- .../STAR_2013_2JET_B_510GEV/uncertainties.yaml | 4 ++-- .../STAR_2013_2JET_C_510GEV/uncertainties.yaml | 6 +++--- .../STAR_2013_2JET_D_510GEV/uncertainties.yaml | 2 +- .../STAR_2015_1JET_200GEV/uncertainties.yaml | 2 +- 19 files changed, 45 insertions(+), 45 deletions(-) diff --git a/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2009_200gev.py b/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2009_200gev.py index f4ddf73b2c..83435af0a2 100644 --- a/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2009_200gev.py +++ b/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2009_200gev.py @@ -81,7 +81,7 @@ def read_1jet_data(): df["stat"] = df["stat_max"] df["sys"] = df["sys_max"] - df["pol"] = POL_UNC * df["ALL"] + df["pol"] = POL_UNC * abs(df["ALL"]) df["sqrts"] = 200 df["abs_eta"] = (df["abs_eta_min"] + df["abs_eta_max"]) / 2 return df, dfc @@ -110,7 +110,6 @@ def read_2jet_data(topology): "ALL": [Gsub[i]["value"]], "stat": [Gsub[i]["errors"][0]["symerror"]], "sys": [Gsub[i]["errors"][1]["symerror"]], - "pol": [POL_UNC * Gsub[i]["value"]], } ), ], @@ -131,12 +130,13 @@ def read_2jet_data(topology): "ALL": [Gsub[i]["value"]], "stat": [Gsub[i]["errors"][0]["symerror"]], "sys": [Gsub[i]["errors"][1]["symerror"]], - "pol": [POL_UNC * Gsub[i]["value"]], } ), ], ignore_index=True, ) + + df["pol"] = POL_UNC * abs(df["ALL"]) df["sqrts"] = 200 return df diff --git a/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2012_510gev.py b/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2012_510gev.py index dbf8810e09..f9ed502523 100644 --- a/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2012_510gev.py +++ b/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2012_510gev.py @@ -41,7 +41,7 @@ def read_1jet_data(): df["ALL"] = all_data["Inclusive Jet $A_{LL}$"] df["stat"] = all_data["stat +"] df["syst"] = all_data["sys +"] - df["pol"] = POL_UNC * df["ALL"] + df["pol"] = POL_UNC * abs(df["ALL"]) df["lumi_ue"] = all_data["UE/RL sys +"] print("1JET data loaded. Npoint: ", len(df)) @@ -62,7 +62,7 @@ def read_2jet_data(topology): df["ALL"] = all_data[r"DiJet $A_{LL}$"] df["stat"] = all_data[r"stat +"] df["syst"] = all_data[r"sys +"] - df["pol"] = POL_UNC * df["ALL"] + df["pol"] = POL_UNC * abs(df["ALL"]) df["lumi_ue"] = all_data["UE/RL sys +"] print(f"2JET {topology} data loaded. Npoint: ", len(df)) return df diff --git a/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2013_510gev.py b/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2013_510gev.py index 0c78c18086..0aa6270daa 100644 --- a/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2013_510gev.py +++ b/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2013_510gev.py @@ -48,7 +48,7 @@ def read_1jet_data(): df["ALL"] = all_data[r"Inclusive Jet $A_{LL}$"] df["stat"] = all_data[r"stat +"] df["syst"] = all_data[r"syst +"] - df["pol"] = POL_UNC * df["ALL"] + df["pol"] = POL_UNC * abs(df["ALL"]) print("1JET data loaded. Npoint: ", len(df)) return df @@ -75,7 +75,7 @@ def read_2jet_data(topology): df["ALL"] = all_data[r"Dijet $A_{LL}$, topology " + topology] df["stat"] = all_data[r"stat +"] df["syst"] = all_data[r"syst +"] - df["pol"] = POL_UNC * df["ALL"] + df["pol"] = POL_UNC * abs(df["ALL"]) print(f"2JET {topology} data loaded. Npoint: ", len(df)) return df diff --git a/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2015_200gev.py b/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2015_200gev.py index 1ab48279a6..45b922e2b6 100644 --- a/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2015_200gev.py +++ b/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2015_200gev.py @@ -69,7 +69,7 @@ def read_1jet_data(topology): df["stat"] = all_data["Stat +"] df["syst"] = all_data["Syst +"] df["lumi"] = all_data["Lumi +"] - df["pol"] = [float(a[:-1]) for a in all_data["Pol +"]] * df["ALL"] / 100 + df["pol"] = [float(a[:-1]) for a in all_data["Pol +"]] * abs(df["ALL"]) / 100 print(f"1JET {topology} data loaded. Npoint: ", len(df)) return df @@ -94,7 +94,7 @@ def read_2jet_data(topology): df["stat"] = all_data["Stat +"] df["syst"] = all_data["Syst +"] df["lumi"] = all_data["Lumi +"] - df["pol"] = [float(a[:-1]) for a in all_data["Pol +"]] * df["ALL"] / 100 + df["pol"] = [float(a[:-1]) for a in all_data["Pol +"]] * abs(df["ALL"]) / 100 print(f"2JET {topology} data loaded. Npoint: ", len(df)) return df diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/uncertainties.yaml index 316794bffb..3014e4ff94 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/uncertainties.yaml @@ -286,7 +286,7 @@ bins: sys_53: -1.3383755092384615e-05 sys_54: -1.8477958927326992e-06 - stat: 0.007 - pol: -0.0004485 + pol: 0.0004485 sys_0: -5.898643235004763e-09 sys_1: 1.1973393935558007e-08 sys_2: 7.779654506237548e-08 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/uncertainties.yaml index ec6c430437..3a9c19699f 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/uncertainties.yaml @@ -229,7 +229,7 @@ definitions: type: STAR2009JETunc54 bins: - stat: 0.011 - pol: -0.001157 + pol: 0.001157 sys_0: -4.317226197359973e-06 sys_1: 2.804090271237943e-06 sys_2: 1.533190350417484e-05 @@ -457,7 +457,7 @@ bins: sys_53: 0.00010281804050324985 sys_54: 1.5989602302115842e-06 - stat: 0.006 - pol: -0.000507 + pol: 0.000507 sys_0: -1.1948431354382126e-08 sys_1: 3.0725225774528344e-08 sys_2: 1.3121131028579732e-07 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/uncertainties.yaml index 4963e10c6c..ce7cc0bb85 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/uncertainties.yaml @@ -229,7 +229,7 @@ definitions: type: STAR2009JETunc54 bins: - stat: 0.005 - pol: -0.000221 + pol: 0.000221 sys_0: -1.6474452057447097e-05 sys_1: 9.040581896830213e-06 sys_2: 4.939301509717909e-05 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_OS_200GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_OS_200GEV/uncertainties.yaml index effff006bf..c24405504c 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_OS_200GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_OS_200GEV/uncertainties.yaml @@ -571,7 +571,7 @@ bins: sys_53: 3.436424253953864e-05 sys_54: 1.7338848023477177e-05 - stat: 0.034 - pol: -0.001833 + pol: 0.001833 sys_0: -0.0004729438978473299 sys_1: 0.0008890863729381828 sys_2: 0.0004354023436035268 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/uncertainties.yaml index 980bcb0d3e..e8b010c7e7 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/uncertainties.yaml @@ -291,7 +291,7 @@ bins: sys_54: 6.642412401033884e-08 sys_55: 2.989440268976087e-08 - lumi_ue: 0.000326 - pol: -0.0001419 + pol: 0.0001419 sys_0: -2.0921351534260138e-05 sys_1: -5.210515573264161e-05 sys_2: -7.883883196479737e-05 @@ -871,7 +871,7 @@ bins: sys_54: 1.2768133354700673e-08 sys_55: 6.398558309347824e-09 - lumi_ue: 0.000229 - pol: -0.00032472 + pol: 0.00032472 sys_0: -0.0002343943549651195 sys_1: -0.0006912852647517847 sys_2: -0.0010950945884863734 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_A_510GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_A_510GEV/uncertainties.yaml index 5b579de570..162612712a 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_A_510GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_A_510GEV/uncertainties.yaml @@ -238,7 +238,7 @@ definitions: bins: - stat: 0.0066 lumi_ue: 0.00025 - pol: -0.0008448 + pol: 0.0008448 sys_0: -2.805509704053412e-07 sys_1: -9.08094602672307e-07 sys_2: -1.4075990605717301e-06 @@ -415,7 +415,7 @@ bins: sys_55: -1.2004462998292904e-08 - stat: 0.0052 lumi_ue: 0.00056 - pol: -7.92e-05 + pol: 7.92e-05 sys_0: -1.5516363965195575e-06 sys_1: -3.819541974484555e-06 sys_2: -6.110267105737368e-06 @@ -533,7 +533,7 @@ bins: sys_55: -1.0343821375710476e-07 - stat: 0.0064 lumi_ue: 0.00046 - pol: -8.58e-05 + pol: 8.58e-05 sys_0: -3.2252909912886183e-06 sys_1: -9.621586241801297e-06 sys_2: -1.2612132861387332e-05 @@ -769,7 +769,7 @@ bins: sys_55: -2.7481844478537882e-08 - stat: 0.0264 lumi_ue: 0.00031 - pol: -0.0014388 + pol: 0.0014388 sys_0: -0.00037960228302466 sys_1: -0.0008299122305492342 sys_2: -6.834069276424717e-05 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_B_510GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_B_510GEV/uncertainties.yaml index dcc2c25a2d..4237b0b490 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_B_510GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_B_510GEV/uncertainties.yaml @@ -238,7 +238,7 @@ definitions: bins: - stat: 0.0053 lumi_ue: 0.0004 - pol: -0.0001518 + pol: 0.0001518 sys_0: -4.902699695448577e-07 sys_1: -9.667668405608368e-07 sys_2: -1.5946010176743127e-06 @@ -474,7 +474,7 @@ bins: sys_55: 5.923882523477875e-07 - stat: 0.004 lumi_ue: 0.00035 - pol: -0.0004158 + pol: 0.0004158 sys_0: -3.225178777597023e-06 sys_1: -7.971143948508409e-06 sys_2: -1.2162407448165686e-05 @@ -651,7 +651,7 @@ bins: sys_55: 4.980004554119997e-08 - stat: 0.0065 lumi_ue: 0.00031 - pol: -0.0001452 + pol: 0.0001452 sys_0: -2.175773795117016e-05 sys_1: -6.100899570616473e-05 sys_2: -3.820341607560011e-05 @@ -710,7 +710,7 @@ bins: sys_55: 1.5964316831141426e-08 - stat: 0.0096 lumi_ue: 0.00028 - pol: -6.6e-05 + pol: 6.6e-05 sys_0: -5.6415492963582885e-05 sys_1: -0.00013037144102324703 sys_2: -2.5123448784175437e-05 @@ -769,7 +769,7 @@ bins: sys_55: -4.543637845044443e-09 - stat: 0.0143 lumi_ue: 0.00026 - pol: -0.001056 + pol: 0.001056 sys_0: -0.0001898264278735877 sys_1: -0.00032773442170312787 sys_2: 2.108926777342305e-05 @@ -828,7 +828,7 @@ bins: sys_55: 9.969069014003858e-10 - stat: 0.0242 lumi_ue: 0.00026 - pol: -0.001353 + pol: 0.001353 sys_0: -0.0005209612086173433 sys_1: -0.0005471459737548793 sys_2: 0.00017883143939242103 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_C_510GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_C_510GEV/uncertainties.yaml index 121a0a284f..a776bb33c5 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_C_510GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_C_510GEV/uncertainties.yaml @@ -297,7 +297,7 @@ bins: sys_55: 5.72639189997753e-05 - stat: 0.0066 lumi_ue: 0.00063 - pol: -3.96e-05 + pol: 3.96e-05 sys_0: -3.1058702383039053e-06 sys_1: -8.047346121200812e-06 sys_2: -1.2619998147756938e-05 @@ -356,7 +356,7 @@ bins: sys_55: 1.604692861430179e-08 - stat: 0.0062 lumi_ue: 0.00074 - pol: -0.0002838 + pol: 0.0002838 sys_0: -1.5296553532175391e-06 sys_1: -3.699624474442674e-06 sys_2: -5.990225452511461e-06 @@ -592,7 +592,7 @@ bins: sys_55: -1.7909097782400058e-08 - stat: 0.0098 lumi_ue: 0.00053 - pol: -0.000297 + pol: 0.000297 sys_0: -9.535866036672388e-06 sys_1: -2.9383079086345657e-05 sys_2: -3.1764714114833526e-05 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_D_510GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_D_510GEV/uncertainties.yaml index 5e73b78d7b..ff72eb9892 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_D_510GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_D_510GEV/uncertainties.yaml @@ -415,7 +415,7 @@ bins: sys_55: -8.067733278269338e-07 - stat: 0.0059 lumi_ue: 0.00052 - pol: -0.0002046 + pol: 0.0002046 sys_0: -7.983724791301123e-07 sys_1: -2.164374986572867e-06 sys_2: -3.488418996290781e-06 @@ -474,7 +474,7 @@ bins: sys_55: -4.1807390266790274e-07 - stat: 0.006 lumi_ue: 0.00054 - pol: -0.0001188 + pol: 0.0001188 sys_0: -1.536345762050751e-06 sys_1: -3.6865985845742023e-06 sys_2: -5.725658777249105e-06 @@ -533,7 +533,7 @@ bins: sys_55: -2.3167073502523317e-07 - stat: 0.007 lumi_ue: 0.00044 - pol: -0.000264 + pol: 0.000264 sys_0: -2.00200738328954e-06 sys_1: -5.577888629561237e-06 sys_2: -8.234306983075932e-06 @@ -828,7 +828,7 @@ bins: sys_55: -1.748120217185071e-08 - stat: 0.0461 lumi_ue: 0.00029 - pol: -0.000363 + pol: 0.000363 sys_0: -0.0002353037952245309 sys_1: -0.00036830730606138024 sys_2: 9.291108786405641e-05 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/uncertainties.yaml index b9a701233d..b75f70c586 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/uncertainties.yaml @@ -448,7 +448,7 @@ bins: sys_60: -2.0567211467696776e-06 sys_61: 8.583540740030501e-07 sys_62: 1.5503622047436774e-07 -- pol: -4.8e-05 +- pol: 4.8e-05 sys_0: -2.317611030883938e-09 sys_1: 2.0103077754186072e-08 sys_2: 1.221490288409029e-07 @@ -512,7 +512,7 @@ bins: sys_60: -1.967785012922417e-06 sys_61: 1.7222827306715096e-06 sys_62: -9.247304481271197e-07 -- pol: -5.44e-05 +- pol: 5.44e-05 sys_0: -5.794556391557737e-09 sys_1: 4.184211349903503e-08 sys_2: 2.6618567237308233e-07 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_A_510GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_A_510GEV/uncertainties.yaml index 0999d0879c..56115a4a24 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_A_510GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_A_510GEV/uncertainties.yaml @@ -261,7 +261,7 @@ definitions: type: STAR2013JETunc62 bins: - stat: 0.00619 - pol: -0.00035072 + pol: 0.00035072 sys_0: -1.8442665253564098e-08 sys_1: 9.128062228545417e-08 sys_2: 3.0998812240715233e-07 @@ -326,7 +326,7 @@ bins: sys_61: 1.2764542310865707e-05 sys_62: 4.157211360391717e-05 - stat: 0.00289 - pol: -7.04e-06 + pol: 7.04e-06 sys_0: -7.838875974830611e-08 sys_1: 4.029804267681053e-07 sys_2: 1.4263812561994197e-06 @@ -976,7 +976,7 @@ bins: sys_61: 1.1661958762446107e-05 sys_62: 1.6078432326039527e-06 - stat: 0.02919 - pol: -0.0005049599999999999 + pol: 0.0005049599999999999 sys_0: -0.0001582145343682221 sys_1: 0.00023785644592245637 sys_2: 0.00018923810995146129 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_B_510GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_B_510GEV/uncertainties.yaml index 34be003f02..dfa684d8e9 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_B_510GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_B_510GEV/uncertainties.yaml @@ -391,7 +391,7 @@ bins: sys_61: -5.8887611946663265e-05 sys_62: 8.398314077938356e-05 - stat: 0.00173 - pol: -7.424000000000001e-05 + pol: 7.424000000000001e-05 sys_0: -8.530127204466283e-08 sys_1: 4.29673266336131e-07 sys_2: 1.3304320577341956e-06 @@ -521,7 +521,7 @@ bins: sys_61: -2.8427700023791145e-06 sys_62: -3.796889291143406e-05 - stat: 0.00161 - pol: -3.84e-05 + pol: 3.84e-05 sys_0: -1.1169536414096341e-07 sys_1: 5.629576028352181e-07 sys_2: 1.7886807965226788e-06 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_C_510GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_C_510GEV/uncertainties.yaml index 97100b4c63..0d9d0e60ec 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_C_510GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_C_510GEV/uncertainties.yaml @@ -261,7 +261,7 @@ definitions: type: STAR2013JETunc62 bins: - stat: 0.00785 - pol: -0.0007392 + pol: 0.0007392 sys_0: -4.100959127774964e-07 sys_1: 1.222332698478793e-06 sys_2: 2.05687127807516e-06 @@ -391,7 +391,7 @@ bins: sys_61: 3.3264670285405464e-06 sys_62: -5.3538188824715525e-06 - stat: 0.00317 - pol: -0.00018752 + pol: 0.00018752 sys_0: -7.06985540704637e-07 sys_1: 2.047809323259492e-06 sys_2: 3.206126094091834e-06 @@ -976,7 +976,7 @@ bins: sys_61: -3.8814180019798167e-07 sys_62: 5.229117363656164e-06 - stat: 0.03322 - pol: -0.000368 + pol: 0.000368 sys_0: -0.0001821538669113795 sys_1: 0.0002428086358083653 sys_2: 0.00019902420286007486 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_D_510GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_D_510GEV/uncertainties.yaml index 0266f9664b..4aad0bb3f6 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_D_510GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_D_510GEV/uncertainties.yaml @@ -456,7 +456,7 @@ bins: sys_61: 4.3081557252252836e-06 sys_62: -1.06050585369882e-05 - stat: 0.00229 - pol: -4.6080000000000006e-05 + pol: 4.6080000000000006e-05 sys_0: -1.0343763729771366e-06 sys_1: 3.447940072340132e-06 sys_2: 7.205331797379565e-06 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/uncertainties.yaml index 912fac3252..0815fda9fb 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/uncertainties.yaml @@ -607,7 +607,7 @@ bins: sys_34: -3.1959478982973937e-07 sys_35: -8.284104652471781e-07 lumi: 0.0007 - pol: -1.2810000000000001e-05 + pol: 1.2810000000000001e-05 - sys_0: -6.372141793123253e-06 sys_1: 1.0618676135602555e-05 sys_2: -1.4184286764078104e-05 From a565ab89ad7edca58cdfc7730046a9c32b560f80 Mon Sep 17 00:00:00 2001 From: giacomomagni Date: Thu, 16 May 2024 15:41:00 +0200 Subject: [PATCH 40/70] adding pol unc to 2005 and 2006 data --- .../new_commondata/PHENIX_1JET_200GEV/filter.py | 2 +- .../PHENIX_1JET_200GEV/uncertainties.yaml | 2 +- .../new_commondata/STAR_2005_1JET_200GEV/filter.py | 9 ++++++++- .../STAR_2005_1JET_200GEV/uncertainties.yaml | 14 ++++++++++++++ .../new_commondata/STAR_2006_1JET_200GEV/filter.py | 9 ++++++++- .../STAR_2006_1JET_200GEV/uncertainties.yaml | 13 +++++++++++++ 6 files changed, 45 insertions(+), 4 deletions(-) diff --git a/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/filter.py b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/filter.py index 354ca7c419..0fcc8f88c4 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/filter.py +++ b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/filter.py @@ -83,7 +83,7 @@ def write_data(df): error_definition = { "stat": {"description": "statistical uncertainty", "treatment": "ADD", "type": "UNCORR"}, - "pol": {"description": "beam polarization uncertainty", "treatment": "MULT", "type": "PHENIXPOL"} + "pol": {"description": "beam polarization uncertainty", "treatment": "MULT", "type": "RHIC2005POL"} } uncertainties_yaml = {"definitions": error_definition, "bins": error} diff --git a/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/uncertainties.yaml index 75b9112af7..576a619515 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/uncertainties.yaml @@ -6,7 +6,7 @@ definitions: pol: description: beam polarization uncertainty treatment: MULT - type: PHENIXPOL + type: RHIC2005POL bins: - stat: 7.7e-05 pol: 6.58e-05 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2005_1JET_200GEV/filter.py b/nnpdf_data/nnpdf_data/new_commondata/STAR_2005_1JET_200GEV/filter.py index 96dbc30394..38673c4cd0 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2005_1JET_200GEV/filter.py +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2005_1JET_200GEV/filter.py @@ -6,6 +6,7 @@ from nnpdf_data.filter_utils.uncertainties import symmetrize_errors as se +POL_UNC = 0.094 def read_data(fnames): df = pd.DataFrame() @@ -53,6 +54,7 @@ def read_data(fnames): df.loc[i, "sys"] = unc df.loc[i, "ALL"] += shift + df["pol"] = POL_UNC * abs(df["ALL"]) return df @@ -91,12 +93,17 @@ def write_data(df): # Write unc file error = [] for i in range(len(df)): - e = {"stat": float(df.loc[i, "stat"]), "sys": float(df.loc[i, "sys"])} + e = { + "stat": float(df.loc[i, "stat"]), + "sys": float(df.loc[i, "sys"]), + "pol": float(df.loc[i, "pol"]) + } error.append(e) error_definition = { "stat": {"description": "statistical uncertainty", "treatment": "ADD", "type": "UNCORR"}, "sys": {"description": "systematic uncertainty", "treatment": "ADD", "type": "UNCORR"}, + "pol": {"description": "beam polarization uncertainty", "treatment": "MULT", "type": "RHIC2005POL"} } uncertainties_yaml = {"definitions": error_definition, "bins": error} diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2005_1JET_200GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2005_1JET_200GEV/uncertainties.yaml index 8c448e3378..f5afbd72a1 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2005_1JET_200GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2005_1JET_200GEV/uncertainties.yaml @@ -7,24 +7,38 @@ definitions: description: systematic uncertainty treatment: ADD type: UNCORR + pol: + description: beam polarization uncertainty + treatment: MULT + type: RHIC2005POL bins: - stat: 0.005900000000000001 sys: 0.0024 + pol: 0.0004982 - stat: 0.0054 sys: 0.0018513508581573619 + pol: 0.0002585 - stat: 0.0057 sys: 0.0018055470085267787 + pol: 0.0002162 - stat: 0.0067 sys: 0.002597595041572108 + pol: 0.0013771 - stat: 0.0087 sys: 0.0022422087324778664 + pol: 0.0005875 - stat: 0.0127 sys: 0.002310844001658269 + pol: 0.00029140000000000004 - stat: 0.020300000000000002 sys: 0.002660826939130014 + pol: 0.0013348000000000001 - stat: 0.035 sys: 0.0029 + pol: 0.0049068 - stat: 0.06709999999999999 sys: 0.0040999999999999995 + pol: 0.0053486 - stat: 0.138 sys: 0.004908156476723211 + pol: 0.013817999999999999 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2006_1JET_200GEV/filter.py b/nnpdf_data/nnpdf_data/new_commondata/STAR_2006_1JET_200GEV/filter.py index 96dbc30394..d305bbb45c 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2006_1JET_200GEV/filter.py +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2006_1JET_200GEV/filter.py @@ -6,6 +6,7 @@ from nnpdf_data.filter_utils.uncertainties import symmetrize_errors as se +POL_UNC = 0.083 def read_data(fnames): df = pd.DataFrame() @@ -53,6 +54,7 @@ def read_data(fnames): df.loc[i, "sys"] = unc df.loc[i, "ALL"] += shift + df["pol"] = POL_UNC * abs(df["ALL"]) return df @@ -91,12 +93,17 @@ def write_data(df): # Write unc file error = [] for i in range(len(df)): - e = {"stat": float(df.loc[i, "stat"]), "sys": float(df.loc[i, "sys"])} + e = { + "stat": float(df.loc[i, "stat"]), + "sys": float(df.loc[i, "sys"]), + "pol": float(df.loc[i, "pol"]), + } error.append(e) error_definition = { "stat": {"description": "statistical uncertainty", "treatment": "ADD", "type": "UNCORR"}, "sys": {"description": "systematic uncertainty", "treatment": "ADD", "type": "UNCORR"}, + "pol": {"description": "beam polarization uncertainty", "treatment": "MULT", "type": "STAR2006POL"} } uncertainties_yaml = {"definitions": error_definition, "bins": error} diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2006_1JET_200GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2006_1JET_200GEV/uncertainties.yaml index ad0bdfe9d1..5d183cf01f 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2006_1JET_200GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2006_1JET_200GEV/uncertainties.yaml @@ -7,22 +7,35 @@ definitions: description: systematic uncertainty treatment: ADD type: UNCORR + pol: + description: beam polarization uncertainty + treatment: MULT + type: STAR2006POL bins: - stat: 0.0053 sys: 0.00331058907144937 + pol: 0.0002739 - stat: 0.0043 sys: 0.002011839953873071 + pol: 0.00030295 - stat: 0.0040999999999999995 sys: 0.002011839953873071 + pol: 0.00085075 - stat: 0.0045000000000000005 sys: 0.001366565036871645 + pol: 0.00011205000000000001 - stat: 0.0058 sys: 0.0011521718621802911 + pol: 0.00076775 - stat: 0.0088 sys: 0.0015898113095584648 + pol: 0.00215385 - stat: 0.0154 sys: 0.0033537292675468 + pol: 0.00222855 - stat: 0.031 sys: 0.004576843890717707 + pol: 0.00197125 - stat: 0.0706 sys: 0.005853204250664759 + pol: 0.0011537 From fd9c6ed43ef08747c095342639700a4808455b7c Mon Sep 17 00:00:00 2001 From: toonhasenack Date: Thu, 16 May 2024 17:42:12 +0200 Subject: [PATCH 41/70] uncorrelate PHENIX from STAR_2005 --- .../new_commondata/PHENIX_1JET_200GEV/data.yaml | 16 ++++++++-------- .../new_commondata/PHENIX_1JET_200GEV/filter.py | 12 +++++++----- .../PHENIX_1JET_200GEV/uncertainties.yaml | 2 +- 3 files changed, 16 insertions(+), 14 deletions(-) diff --git a/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/data.yaml b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/data.yaml index a91ae42005..f690926b67 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/data.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/data.yaml @@ -1,9 +1,9 @@ data_central: - - -0.0007 - - 0.0039 - - -0.0014 - - -0.0005 - - 0.0058 - - 0.0034 - - 0.0077 - - -0.0181 +- -0.0007 +- 0.0039 +- -0.0014 +- -0.0005 +- 0.0058 +- 0.0034 +- 0.0077 +- -0.0181 diff --git a/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/filter.py b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/filter.py index 0fcc8f88c4..ee7b608009 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/filter.py +++ b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/filter.py @@ -5,6 +5,7 @@ POL_UNC = 0.094 + def read_data(fnames): df = pd.DataFrame() for fname in fnames: @@ -75,15 +76,16 @@ def write_data(df): # Write unc file error = [] for i in range(len(df)): - e = { - "stat": float(df.loc[i, "stat"]), - "pol": float(df.loc[i, "pol"]) - } + e = {"stat": float(df.loc[i, "stat"]), "pol": float(df.loc[i, "pol"])} error.append(e) error_definition = { "stat": {"description": "statistical uncertainty", "treatment": "ADD", "type": "UNCORR"}, - "pol": {"description": "beam polarization uncertainty", "treatment": "MULT", "type": "RHIC2005POL"} + "pol": { + "description": "beam polarization uncertainty", + "treatment": "MULT", + "type": "PHENIXPOL", + }, } uncertainties_yaml = {"definitions": error_definition, "bins": error} diff --git a/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/uncertainties.yaml index 576a619515..75b9112af7 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/uncertainties.yaml @@ -6,7 +6,7 @@ definitions: pol: description: beam polarization uncertainty treatment: MULT - type: RHIC2005POL + type: PHENIXPOL bins: - stat: 7.7e-05 pol: 6.58e-05 From f696309e4cd0ae719aee4828bbdf61a5b1936620 Mon Sep 17 00:00:00 2001 From: giacomomagni Date: Fri, 17 May 2024 12:47:26 +0200 Subject: [PATCH 42/70] revert correlations in phenix and star 2005 --- .../nnpdf_data/new_commondata/PHENIX_1JET_200GEV/filter.py | 2 +- .../new_commondata/PHENIX_1JET_200GEV/uncertainties.yaml | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/filter.py b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/filter.py index ee7b608009..60170e44dd 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/filter.py +++ b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/filter.py @@ -84,7 +84,7 @@ def write_data(df): "pol": { "description": "beam polarization uncertainty", "treatment": "MULT", - "type": "PHENIXPOL", + "type": "RHIC2005POL", }, } diff --git a/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/uncertainties.yaml index 75b9112af7..576a619515 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/uncertainties.yaml @@ -6,7 +6,7 @@ definitions: pol: description: beam polarization uncertainty treatment: MULT - type: PHENIXPOL + type: RHIC2005POL bins: - stat: 7.7e-05 pol: 6.58e-05 From 879fd2653cbf20c353d507a3c81b60c5b124098c Mon Sep 17 00:00:00 2001 From: giacomomagni Date: Fri, 17 May 2024 12:49:00 +0200 Subject: [PATCH 43/70] init collapsing 2012 dijets --- .../star/jet_dijet_2012_510gev.py | 8 +- .../data_A.yaml} | 0 .../data_B.yaml} | 0 .../data_C.yaml} | 0 .../data_D.yaml} | 0 .../kinematics_A.yaml} | 0 .../kinematics_B.yaml} | 0 .../kinematics_C.yaml} | 0 .../kinematics_D.yaml} | 0 .../STAR_2012_2JET_510GEV/metadata.yaml | 111 ++++++++++++++++++ .../uncertainties_A.yaml} | 0 .../uncertainties_B.yaml} | 0 .../uncertainties_C.yaml} | 0 .../uncertainties_D.yaml} | 0 .../STAR_2012_2JET_A_510GEV/metadata.yaml | 41 ------- .../STAR_2012_2JET_B_510GEV/metadata.yaml | 41 ------- .../STAR_2012_2JET_C_510GEV/metadata.yaml | 41 ------- .../STAR_2012_2JET_D_510GEV/metadata.yaml | 41 ------- 18 files changed, 115 insertions(+), 168 deletions(-) rename nnpdf_data/nnpdf_data/new_commondata/{STAR_2012_2JET_A_510GEV/data.yaml => STAR_2012_2JET_510GEV/data_A.yaml} (100%) rename nnpdf_data/nnpdf_data/new_commondata/{STAR_2012_2JET_B_510GEV/data.yaml => STAR_2012_2JET_510GEV/data_B.yaml} (100%) rename nnpdf_data/nnpdf_data/new_commondata/{STAR_2012_2JET_C_510GEV/data.yaml => STAR_2012_2JET_510GEV/data_C.yaml} (100%) rename nnpdf_data/nnpdf_data/new_commondata/{STAR_2012_2JET_D_510GEV/data.yaml => STAR_2012_2JET_510GEV/data_D.yaml} (100%) rename nnpdf_data/nnpdf_data/new_commondata/{STAR_2012_2JET_A_510GEV/kinematics.yaml => STAR_2012_2JET_510GEV/kinematics_A.yaml} (100%) rename nnpdf_data/nnpdf_data/new_commondata/{STAR_2012_2JET_B_510GEV/kinematics.yaml => STAR_2012_2JET_510GEV/kinematics_B.yaml} (100%) rename nnpdf_data/nnpdf_data/new_commondata/{STAR_2012_2JET_C_510GEV/kinematics.yaml => STAR_2012_2JET_510GEV/kinematics_C.yaml} (100%) rename nnpdf_data/nnpdf_data/new_commondata/{STAR_2012_2JET_D_510GEV/kinematics.yaml => STAR_2012_2JET_510GEV/kinematics_D.yaml} (100%) create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/metadata.yaml rename nnpdf_data/nnpdf_data/new_commondata/{STAR_2012_2JET_A_510GEV/uncertainties.yaml => STAR_2012_2JET_510GEV/uncertainties_A.yaml} (100%) rename nnpdf_data/nnpdf_data/new_commondata/{STAR_2012_2JET_B_510GEV/uncertainties.yaml => STAR_2012_2JET_510GEV/uncertainties_B.yaml} (100%) rename nnpdf_data/nnpdf_data/new_commondata/{STAR_2012_2JET_C_510GEV/uncertainties.yaml => STAR_2012_2JET_510GEV/uncertainties_C.yaml} (100%) rename nnpdf_data/nnpdf_data/new_commondata/{STAR_2012_2JET_D_510GEV/uncertainties.yaml => STAR_2012_2JET_510GEV/uncertainties_D.yaml} (100%) delete mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_A_510GEV/metadata.yaml delete mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_B_510GEV/metadata.yaml delete mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_C_510GEV/metadata.yaml delete mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_D_510GEV/metadata.yaml diff --git a/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2012_510gev.py b/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2012_510gev.py index f9ed502523..dfbd04d786 100644 --- a/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2012_510gev.py +++ b/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2012_510gev.py @@ -187,10 +187,10 @@ def write_1jet_data(df, art_sys): def write_2jet_data(df, topology, art_sys): - STORE_PATH = HERE / f"new_commondata/STAR_{YEAR}_2JET_{topology}_{SQRTS}GEV/" + STORE_PATH = HERE / f"new_commondata/STAR_{YEAR}_2JET_{SQRTS}GEV/" # Write central data data_central_yaml = {"data_central": list(df["ALL"])} - with open(STORE_PATH / "data.yaml", "w", encoding="utf-8") as file: + with open(STORE_PATH / f"data_{topology}.yaml", "w", encoding="utf-8") as file: yaml.dump(data_central_yaml, file) # Write kin file @@ -206,7 +206,7 @@ def write_2jet_data(df, topology, art_sys): } kin.append(kin_value) kinematics_yaml = {"bins": kin} - with open(STORE_PATH / "kinematics.yaml", "w", encoding="utf-8") as file: + with open(STORE_PATH / f"kinematics_{topology}.yaml", "w", encoding="utf-8") as file: yaml.dump(kinematics_yaml, file) # Write unc file @@ -253,7 +253,7 @@ def write_2jet_data(df, topology, art_sys): ) uncertainties_yaml = {"definitions": error_definition, "bins": error} - with open(STORE_PATH / "uncertainties.yaml", "w", encoding="utf-8") as file: + with open(STORE_PATH / f"uncertainties_{topology}.yaml", "w", encoding="utf-8") as file: yaml.dump(uncertainties_yaml, file, sort_keys=False) diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_A_510GEV/data.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/data_A.yaml similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_A_510GEV/data.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/data_A.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_B_510GEV/data.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/data_B.yaml similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_B_510GEV/data.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/data_B.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_C_510GEV/data.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/data_C.yaml similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_C_510GEV/data.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/data_C.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_D_510GEV/data.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/data_D.yaml similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_D_510GEV/data.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/data_D.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_A_510GEV/kinematics.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/kinematics_A.yaml similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_A_510GEV/kinematics.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/kinematics_A.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_B_510GEV/kinematics.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/kinematics_B.yaml similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_B_510GEV/kinematics.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/kinematics_B.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_C_510GEV/kinematics.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/kinematics_C.yaml similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_C_510GEV/kinematics.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/kinematics_C.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_D_510GEV/kinematics.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/kinematics_D.yaml similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_D_510GEV/kinematics.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/kinematics_D.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/metadata.yaml new file mode 100644 index 0000000000..6be52d89cd --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/metadata.yaml @@ -0,0 +1,111 @@ +setname: "STAR_2012_2JET_510GEV" + +nnpdf_metadata: + experiment: "STAR" + nnpdf31_process: "JETS" + +arXiv: + url: "https://arxiv.org/abs/1906.02740" +iNSPIRE: + url: "https://inspirehep.net/literature/1738738" +hepdata: + url: "https://www.hepdata.net/record/ins1738738" + version: 1 + + +version: 1 +version_comment: "Initial implementation, correlations from arXiv" + +implemented_observables: + - observable: { description: "ALL as function of $M_{inv}$, topology A", label: "$A_{LL}$", units: "" } + observable_name: ALL + process_type: DIJET_POL + ndata: 10 + tables: [14] + kinematics: + variables: + m_jj: {description: "dijet mass", label: "$m_{jj}$", units: "GeV"} + sqrts: {description: "center of mass energy", label: r"$\sqrt(s)$", units: "GeV"} + file: kinematics_A.yaml + kinematic_coverage: [m_jj, sqrts] + data_central: data_A.yaml + data_uncertainties: + - uncertainties_A.yaml + plotting: + dataset_label: "STAR 510 GeV (2012) DIJET $A_{LL}$, topology A" + kinematics_override: identity + plot_x: m_jj + x_scale: log + y_label: "$A_{LL}$" + theory: + FK_tables: + - - STAR_2012_2JET_510GEV_A_ALL + - observable: { description: "ALL as function of $M_{inv}$, topology B", label: "$A_{LL}$", units: "" } + observable_name: ALL + process_type: DIJET_POL + ndata: 11 + tables: [14] + kinematics: + variables: + m_jj: {description: "dijet mass", label: "$m_{jj}$", units: "GeV"} + sqrts: {description: "center of mass energy", label: r"$\sqrt(s)$", units: "GeV"} + file: kinematics_B.yaml + kinematic_coverage: [m_jj, sqrts] + data_central: data_B.yaml + data_uncertainties: + - uncertainties_C.yaml + plotting: + dataset_label: "STAR 510 GeV (2012) DIJET $A_{LL}$, topology B" + kinematics_override: identity + plot_x: m_jj + x_scale: log + y_label: "$A_{LL}$" + theory: + FK_tables: + - - STAR_2012_2JET_510GEV_B_ALL + - observable: { description: "ALL as function of $M_{inv}$, topology C", label: "$A_{LL}$", units: "" } + observable_name: ALL + process_type: DIJET_POL + ndata: 10 + tables: [14] + kinematics: + variables: + m_jj: {description: "dijet mass", label: "$m_{jj}$", units: "GeV"} + sqrts: {description: "center of mass energy", label: r"$\sqrt(s)$", units: "GeV"} + file: kinematics_C.yaml + kinematic_coverage: [m_jj, sqrts] + data_central: data_C.yaml + data_uncertainties: + - uncertainties_C.yaml + plotting: + dataset_label: "STAR 510 GeV (2012) DIJET $A_{LL}$, topology C" + kinematics_override: identity + plot_x: m_jj + x_scale: log + y_label: "$A_{LL}$" + theory: + FK_tables: + - - STAR_2012_2JET_510GEV_C_ALL + - observable: { description: "ALL as function of $M_{inv}$, topology D", label: "$A_{LL}$", units: "" } + observable_name: ALL + process_type: DIJET_POL + ndata: 11 + tables: [14] + kinematics: + variables: + m_jj: {description: "dijet mass", label: "$m_{jj}$", units: "GeV"} + sqrts: {description: "center of mass energy", label: r"$\sqrt(s)$", units: "GeV"} + file: kinematics_D.yaml + kinematic_coverage: [m_jj, sqrts] + data_central: data_D.yaml + data_uncertainties: + - uncertainties_D.yaml + plotting: + dataset_label: "STAR 510 GeV (2012) DIJET $A_{LL}$, topology D" + kinematics_override: identity + plot_x: m_jj + x_scale: log + y_label: "$A_{LL}$" + theory: + FK_tables: + - - STAR_2012_2JET_510GEV_D_ALL \ No newline at end of file diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_A_510GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/uncertainties_A.yaml similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_A_510GEV/uncertainties.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/uncertainties_A.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_B_510GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/uncertainties_B.yaml similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_B_510GEV/uncertainties.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/uncertainties_B.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_C_510GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/uncertainties_C.yaml similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_C_510GEV/uncertainties.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/uncertainties_C.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_D_510GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/uncertainties_D.yaml similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_D_510GEV/uncertainties.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/uncertainties_D.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_A_510GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_A_510GEV/metadata.yaml deleted file mode 100644 index 636cc9c53b..0000000000 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_A_510GEV/metadata.yaml +++ /dev/null @@ -1,41 +0,0 @@ -setname: "STAR_2012_2JET_A_510GEV" - -nnpdf_metadata: - experiment: "STAR" - nnpdf31_process: "JETS" - -iNSPIRE: - url: "https://inspirehep.net/literature/1738738" -hepdata: - url: "https://www.hepdata.net/record/ins1738738" - version: 1 -arXiv: - url: https://arxiv.org/abs/1906.02740 - -version: 1 -version_comment: "Initial implementation, correlations from arXiv" - -implemented_observables: - - observable: { description: "ALL as function of $M_{inv}$, topology A", label: "$A_{LL}$", units: "" } - observable_name: ALL - process_type: DIJET_POL - ndata: 10 - tables: [14] - kinematics: - variables: - m_jj: {description: "dijet mass", label: "$m_{jj}$", units: "GeV"} - sqrts: {description: "center of mass energy", label: r"$\sqrt(s)$", units: "GeV"} - file: kinematics.yaml - kinematic_coverage: [m_jj, sqrts] - data_central: data.yaml - data_uncertainties: - - uncertainties.yaml - plotting: - dataset_label: "STAR 510 GeV (2012) DIJET $A_{LL}$, topology A" - kinematics_override: identity - plot_x: m_jj - x_scale: log - y_label: "$A_{LL}$" - theory: - FK_tables: - - - STAR_2012_2JJET_A_510GEV_ALL diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_B_510GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_B_510GEV/metadata.yaml deleted file mode 100644 index 6e31c91b59..0000000000 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_B_510GEV/metadata.yaml +++ /dev/null @@ -1,41 +0,0 @@ -setname: "STAR_2012_2JET_B_510GEV" - -nnpdf_metadata: - experiment: "STAR" - nnpdf31_process: "JETS" - -iNSPIRE: - url: "https://inspirehep.net/literature/1738738" -hepdata: - url: "https://www.hepdata.net/record/ins1738738" - version: 1 -arXiv: - url: https://arxiv.org/abs/1906.02740 - -version: 1 -version_comment: "Initial implementation, correlations from arXiv" - -implemented_observables: - - observable: { description: "ALL as function of $M_{inv}$, topology B", label: "$A_{LL}$", units: "" } - observable_name: ALL - process_type: DIJET_POL - ndata: 11 - tables: [14] - kinematics: - variables: - m_jj: {description: "dijet mass", label: "$m_{jj}$", units: "GeV"} - sqrts: {description: "center of mass energy", label: r"$\sqrt(s)$", units: "GeV"} - file: kinematics.yaml - kinematic_coverage: [m_jj, sqrts] - data_central: data.yaml - data_uncertainties: - - uncertainties.yaml - plotting: - dataset_label: "STAR 510 GeV (2012) DIJET $A_{LL}$, topology B" - kinematics_override: identity - plot_x: m_jj - x_scale: log - y_label: "$A_{LL}$" - theory: - FK_tables: - - - STAR_2012_2JJET_B_510GEV_ALL diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_C_510GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_C_510GEV/metadata.yaml deleted file mode 100644 index 5a33d1227c..0000000000 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_C_510GEV/metadata.yaml +++ /dev/null @@ -1,41 +0,0 @@ -setname: "STAR_2012_2JET_C_510GEV" - -nnpdf_metadata: - experiment: "STAR" - nnpdf31_process: "JETS" - -iNSPIRE: - url: "https://inspirehep.net/literature/1738738" -hepdata: - url: "https://www.hepdata.net/record/ins1738738" - version: 1 -arXiv: - url: https://arxiv.org/abs/1906.02740 - -version: 1 -version_comment: "Initial implementation, correlations from arXiv" - -implemented_observables: - - observable: { description: "ALL as function of $M_{inv}$, topology C", label: "$A_{LL}$", units: "" } - observable_name: ALL - process_type: DIJET_POL - ndata: 10 - tables: [14] - kinematics: - variables: - m_jj: {description: "dijet mass", label: "$m_{jj}$", units: "GeV"} - sqrts: {description: "center of mass energy", label: r"$\sqrt(s)$", units: "GeV"} - file: kinematics.yaml - kinematic_coverage: [m_jj, sqrts] - data_central: data.yaml - data_uncertainties: - - uncertainties.yaml - plotting: - dataset_label: "STAR 510 GeV (2012) DIJET $A_{LL}$, topology C" - kinematics_override: identity - plot_x: m_jj - x_scale: log - y_label: "$A_{LL}$" - theory: - FK_tables: - - - STAR_2012_2JJET_C_510GEV_ALL diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_D_510GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_D_510GEV/metadata.yaml deleted file mode 100644 index 2234430df2..0000000000 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_D_510GEV/metadata.yaml +++ /dev/null @@ -1,41 +0,0 @@ -setname: "STAR_2012_2JET_D_510GEV" - -nnpdf_metadata: - experiment: "STAR" - nnpdf31_process: "JETS" - -iNSPIRE: - url: "https://inspirehep.net/literature/1738738" -hepdata: - url: "https://www.hepdata.net/record/ins1738738" - version: 1 -arXiv: - url: https://arxiv.org/abs/1906.02740 - -version: 1 -version_comment: "Initial implementation, correlations from arXiv" - -implemented_observables: - - observable: { description: "ALL as function of $M_{inv}$, topology D", label: "$A_{LL}$", units: "" } - observable_name: ALL - process_type: DIJET_POL - ndata: 11 - tables: [14] - kinematics: - variables: - m_jj: {description: "dijet mass", label: "$m_{jj}$", units: "GeV"} - sqrts: {description: "center of mass energy", label: r"$\sqrt(s)$", units: "GeV"} - file: kinematics.yaml - kinematic_coverage: [m_jj, sqrts] - data_central: data.yaml - data_uncertainties: - - uncertainties.yaml - plotting: - dataset_label: "STAR 510 GeV (2012) DIJET $A_{LL}$, topology D" - kinematics_override: identity - plot_x: m_jj - x_scale: log - y_label: "$A_{LL}$" - theory: - FK_tables: - - - STAR_2012_2JJET_D_510GEV_ALL From 1e39f34118574822597f9646a350c2aca23daf05 Mon Sep 17 00:00:00 2001 From: giacomomagni Date: Fri, 17 May 2024 12:57:59 +0200 Subject: [PATCH 44/70] init collapsing 2013 dijets --- .../star/jet_dijet_2013_510gev.py | 8 +- .../STAR_2013_1JET_510GEV/metadata.yaml | 2 + .../data_A.yaml} | 0 .../data_B.yaml} | 0 .../data_C.yaml} | 0 .../data_D.yaml} | 0 .../kinematics_A.yaml} | 0 .../kinematics_B.yaml} | 0 .../kinematics_C.yaml} | 0 .../kinematics_D.yaml} | 0 .../STAR_2013_2JET_510GEV/metadata.yaml | 110 ++++++++++++++++++ .../uncertainties_A.yaml} | 0 .../uncertainties_B.yaml} | 0 .../uncertainties_C.yaml} | 0 .../uncertainties_D.yaml} | 0 .../STAR_2013_2JET_A_510GEV/metadata.yaml | 39 ------- .../STAR_2013_2JET_B_510GEV/metadata.yaml | 39 ------- .../STAR_2013_2JET_C_510GEV/metadata.yaml | 39 ------- .../STAR_2013_2JET_D_510GEV/metadata.yaml | 39 ------- 19 files changed, 116 insertions(+), 160 deletions(-) rename nnpdf_data/nnpdf_data/new_commondata/{STAR_2013_2JET_A_510GEV/data.yaml => STAR_2013_2JET_510GEV/data_A.yaml} (100%) rename nnpdf_data/nnpdf_data/new_commondata/{STAR_2013_2JET_B_510GEV/data.yaml => STAR_2013_2JET_510GEV/data_B.yaml} (100%) rename nnpdf_data/nnpdf_data/new_commondata/{STAR_2013_2JET_C_510GEV/data.yaml => STAR_2013_2JET_510GEV/data_C.yaml} (100%) rename nnpdf_data/nnpdf_data/new_commondata/{STAR_2013_2JET_D_510GEV/data.yaml => STAR_2013_2JET_510GEV/data_D.yaml} (100%) rename nnpdf_data/nnpdf_data/new_commondata/{STAR_2013_2JET_A_510GEV/kinematics.yaml => STAR_2013_2JET_510GEV/kinematics_A.yaml} (100%) rename nnpdf_data/nnpdf_data/new_commondata/{STAR_2013_2JET_B_510GEV/kinematics.yaml => STAR_2013_2JET_510GEV/kinematics_B.yaml} (100%) rename nnpdf_data/nnpdf_data/new_commondata/{STAR_2013_2JET_C_510GEV/kinematics.yaml => STAR_2013_2JET_510GEV/kinematics_C.yaml} (100%) rename nnpdf_data/nnpdf_data/new_commondata/{STAR_2013_2JET_D_510GEV/kinematics.yaml => STAR_2013_2JET_510GEV/kinematics_D.yaml} (100%) create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/metadata.yaml rename nnpdf_data/nnpdf_data/new_commondata/{STAR_2013_2JET_A_510GEV/uncertainties.yaml => STAR_2013_2JET_510GEV/uncertainties_A.yaml} (100%) rename nnpdf_data/nnpdf_data/new_commondata/{STAR_2013_2JET_B_510GEV/uncertainties.yaml => STAR_2013_2JET_510GEV/uncertainties_B.yaml} (100%) rename nnpdf_data/nnpdf_data/new_commondata/{STAR_2013_2JET_C_510GEV/uncertainties.yaml => STAR_2013_2JET_510GEV/uncertainties_C.yaml} (100%) rename nnpdf_data/nnpdf_data/new_commondata/{STAR_2013_2JET_D_510GEV/uncertainties.yaml => STAR_2013_2JET_510GEV/uncertainties_D.yaml} (100%) delete mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_A_510GEV/metadata.yaml delete mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_B_510GEV/metadata.yaml delete mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_C_510GEV/metadata.yaml delete mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_D_510GEV/metadata.yaml diff --git a/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2013_510gev.py b/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2013_510gev.py index 0aa6270daa..569cc899dc 100644 --- a/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2013_510gev.py +++ b/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2013_510gev.py @@ -188,10 +188,10 @@ def write_1jet_data(df, art_sys): def write_2jet_data(df, topology, art_sys): - STORE_PATH = HERE / f"new_commondata/STAR_{YEAR}_2JET_{topology}_510GEV/" + STORE_PATH = HERE / f"new_commondata/STAR_{YEAR}_2JET_510GEV/" # Write central data data_central_yaml = {"data_central": list(df["ALL"])} - with open(STORE_PATH / "data.yaml", "w", encoding="utf-8") as file: + with open(STORE_PATH / f"data_{topology}.yaml", "w", encoding="utf-8") as file: yaml.dump(data_central_yaml, file) # Write kin file @@ -207,7 +207,7 @@ def write_2jet_data(df, topology, art_sys): } kin.append(kin_value) kinematics_yaml = {"bins": kin} - with open(STORE_PATH / "kinematics.yaml", "w", encoding="utf-8") as file: + with open(STORE_PATH / f"kinematics_{topology}.yaml", "w", encoding="utf-8") as file: yaml.dump(kinematics_yaml, file) # Write unc file @@ -248,7 +248,7 @@ def write_2jet_data(df, topology, art_sys): ) uncertainties_yaml = {"definitions": error_definition, "bins": error} - with open(STORE_PATH / "uncertainties.yaml", "w", encoding="utf-8") as file: + with open(STORE_PATH / f"uncertainties_{topology}.yaml", "w", encoding="utf-8") as file: yaml.dump(uncertainties_yaml, file, sort_keys=False) diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/metadata.yaml index 0713622d3e..086d96bbdb 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/metadata.yaml @@ -4,6 +4,8 @@ nnpdf_metadata: experiment: "STAR" nnpdf31_process: "JETS" +arXiv: + url: https://arxiv.org/abs/2110.11020 iNSPIRE: url: "https://inspirehep.net/literature/1949588" hepdata: diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_A_510GEV/data.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/data_A.yaml similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_A_510GEV/data.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/data_A.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_B_510GEV/data.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/data_B.yaml similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_B_510GEV/data.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/data_B.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_C_510GEV/data.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/data_C.yaml similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_C_510GEV/data.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/data_C.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_D_510GEV/data.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/data_D.yaml similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_D_510GEV/data.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/data_D.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_A_510GEV/kinematics.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/kinematics_A.yaml similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_A_510GEV/kinematics.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/kinematics_A.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_B_510GEV/kinematics.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/kinematics_B.yaml similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_B_510GEV/kinematics.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/kinematics_B.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_C_510GEV/kinematics.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/kinematics_C.yaml similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_C_510GEV/kinematics.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/kinematics_C.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_D_510GEV/kinematics.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/kinematics_D.yaml similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_D_510GEV/kinematics.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/kinematics_D.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/metadata.yaml new file mode 100644 index 0000000000..4c0fdecac7 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/metadata.yaml @@ -0,0 +1,110 @@ +setname: "STAR_2013_2JET_510GEV" + +nnpdf_metadata: + experiment: "STAR" + nnpdf31_process: "DIJET" + +arXiv: + url: https://arxiv.org/abs/2110.11020 +iNSPIRE: + url: "https://inspirehep.net/literature/1949588" +hepdata: + url: "https://www.hepdata.net/record/ins1949588" + version: 1 + +version: 1 +version_comment: "Initial implementation" + +implemented_observables: + - observable: { description: "ALL as function of $M_{inv}$, topology A", label: "$A_{LL}$", units: "" } + observable_name: ALL + process_type: DIJET_POL + ndata: 12 + tables: [5] + kinematics: + variables: + m_jj: {description: "dijet mass", label: "$m_{jj}$", units: "GeV"} + sqrts: {description: "center of mass energy", label: r"$\sqrt(s)$", units: "GeV"} + file: kinematics_A.yaml + kinematic_coverage: [m_jj, sqrts] + data_central: data_A.yaml + data_uncertainties: + - uncertainties_A.yaml + plotting: + dataset_label: "STAR 510 GeV (2013) DIJET $A_{LL}$, topology A" + kinematics_override: identity + plot_x: m_jj + x_scale: log + y_label: "$A_{LL}$" + theory: + FK_tables: + - - STAR_2013_2JET_A_510GEV_ALL + - observable: { description: "ALL as function of $M_{inv}$, topology B", label: "$A_{LL}$", units: "" } + observable_name: ALL + process_type: DIJET_POL + ndata: 13 + tables: [5] + kinematics: + variables: + m_jj: {description: "dijet mass", label: "$m_{jj}$", units: "GeV"} + sqrts: {description: "center of mass energy", label: r"$\sqrt(s)$", units: "GeV"} + file: kinematics_B.yaml + kinematic_coverage: [m_jj, sqrts] + data_central: data_B.yaml + data_uncertainties: + - uncertainties_B.yaml + plotting: + dataset_label: "STAR 510 GeV (2013) DIJET $A_{LL}$, topology B" + kinematics_override: identity + plot_x: m_jj + x_scale: log + y_label: "$A_{LL}$" + theory: + FK_tables: + - - STAR_2013_2JET_B_510GEV_ALL + - observable: { description: "ALL as function of $M_{inv}$, topology C", label: "$A_{LL}$", units: "" } + observable_name: ALL + process_type: DIJET_POL + ndata: 12 + tables: [5] + kinematics: + variables: + m_jj: {description: "dijet mass", label: "$m_{jj}$", units: "GeV"} + sqrts: {description: "center of mass energy", label: r"$\sqrt(s)$", units: "GeV"} + file: kinematics_C.yaml + kinematic_coverage: [m_jj, sqrts] + data_central: data_C.yaml + data_uncertainties: + - uncertainties_C.yaml + plotting: + dataset_label: "STAR 510 GeV (2013) DIJET $A_{LL}$, topology C" + kinematics_override: identity + plot_x: m_jj + x_scale: log + y_label: "$A_{LL}$" + theory: + FK_tables: + - - STAR_2013_2JET_C_510GEV_ALL + - observable: { description: "ALL as function of $M_{inv}$, topology D", label: "$A_{LL}$", units: "" } + observable_name: ALL + process_type: DIJET_POL + ndata: 12 + tables: [5] + kinematics: + variables: + m_jj: {description: "dijet mass", label: "$m_{jj}$", units: "GeV"} + sqrts: {description: "center of mass energy", label: r"$\sqrt(s)$", units: "GeV"} + file: kinematics_D.yaml + kinematic_coverage: [m_jj, sqrts] + data_central: data_D.yaml + data_uncertainties: + - uncertainties_D.yaml + plotting: + dataset_label: "STAR 510 GeV (2013) DIJET $A_{LL}$, topology D" + kinematics_override: identity + plot_x: m_jj + x_scale: log + y_label: "$A_{LL}$" + theory: + FK_tables: + - - STAR_2013_2JET_D_510GEV_ALL \ No newline at end of file diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_A_510GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/uncertainties_A.yaml similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_A_510GEV/uncertainties.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/uncertainties_A.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_B_510GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/uncertainties_B.yaml similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_B_510GEV/uncertainties.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/uncertainties_B.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_C_510GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/uncertainties_C.yaml similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_C_510GEV/uncertainties.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/uncertainties_C.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_D_510GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/uncertainties_D.yaml similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_D_510GEV/uncertainties.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/uncertainties_D.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_A_510GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_A_510GEV/metadata.yaml deleted file mode 100644 index add2f35e89..0000000000 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_A_510GEV/metadata.yaml +++ /dev/null @@ -1,39 +0,0 @@ -setname: "STAR_2013_2JET_A_510GEV" - -nnpdf_metadata: - experiment: "STAR" - nnpdf31_process: "DIJET" - -iNSPIRE: - url: "https://inspirehep.net/literature/1949588" -hepdata: - url: "https://www.hepdata.net/record/ins1949588" - version: 1 - -version: 1 -version_comment: "Initial implementation" - -implemented_observables: - - observable: { description: "ALL as function of $M_{inv}$, topology A", label: "$A_{LL}$", units: "" } - observable_name: ALL - process_type: DIJET_POL - ndata: 12 - tables: [5] - kinematics: - variables: - m_jj: {description: "dijet mass", label: "$m_{jj}$", units: "GeV"} - sqrts: {description: "center of mass energy", label: r"$\sqrt(s)$", units: "GeV"} - file: kinematics.yaml - kinematic_coverage: [m_jj, sqrts] - data_central: data.yaml - data_uncertainties: - - uncertainties.yaml - plotting: - dataset_label: "STAR 510 GeV (2013) DIJET $A_{LL}$, topology A" - kinematics_override: identity - plot_x: m_jj - x_scale: log - y_label: "$A_{LL}$" - theory: - FK_tables: - - - STAR_2013_2JJET_A_510GEV_ALL diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_B_510GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_B_510GEV/metadata.yaml deleted file mode 100644 index 01e3001a36..0000000000 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_B_510GEV/metadata.yaml +++ /dev/null @@ -1,39 +0,0 @@ -setname: "STAR_2013_2JET_B_510GEV" - -nnpdf_metadata: - experiment: "STAR" - nnpdf31_process: "DIJET" - -iNSPIRE: - url: "https://inspirehep.net/literature/1949588" -hepdata: - url: "https://www.hepdata.net/record/ins1949588" - version: 1 - -version: 1 -version_comment: "Initial implementation" - -implemented_observables: - - observable: { description: "ALL as function of $M_{inv}$, topology B", label: "$A_{LL}$", units: "" } - observable_name: ALL - process_type: DIJET_POL - ndata: 13 - tables: [5] - kinematics: - variables: - m_jj: {description: "dijet mass", label: "$m_{jj}$", units: "GeV"} - sqrts: {description: "center of mass energy", label: r"$\sqrt(s)$", units: "GeV"} - file: kinematics.yaml - kinematic_coverage: [m_jj, sqrts] - data_central: data.yaml - data_uncertainties: - - uncertainties.yaml - plotting: - dataset_label: "STAR 510 GeV (2013) DIJET $A_{LL}$, topology B" - kinematics_override: identity - plot_x: m_jj - x_scale: log - y_label: "$A_{LL}$" - theory: - FK_tables: - - - STAR_2013_2JJET_B_510GEV_ALL diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_C_510GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_C_510GEV/metadata.yaml deleted file mode 100644 index 6f04416535..0000000000 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_C_510GEV/metadata.yaml +++ /dev/null @@ -1,39 +0,0 @@ -setname: "STAR_2013_2JET_C_510GEV" - -nnpdf_metadata: - experiment: "STAR" - nnpdf31_process: "DIJET" - -iNSPIRE: - url: "https://inspirehep.net/literature/1949588" -hepdata: - url: "https://www.hepdata.net/record/ins1949588" - version: 1 - -version: 1 -version_comment: "Initial implementation" - -implemented_observables: - - observable: { description: "ALL as function of $M_{inv}$, topology C", label: "$A_{LL}$", units: "" } - observable_name: ALL - process_type: DIJET_POL - ndata: 12 - tables: [5] - kinematics: - variables: - m_jj: {description: "dijet mass", label: "$m_{jj}$", units: "GeV"} - sqrts: {description: "center of mass energy", label: r"$\sqrt(s)$", units: "GeV"} - file: kinematics.yaml - kinematic_coverage: [m_jj, sqrts] - data_central: data.yaml - data_uncertainties: - - uncertainties.yaml - plotting: - dataset_label: "STAR 510 GeV (2013) DIJET $A_{LL}$, topology C" - kinematics_override: identity - plot_x: m_jj - x_scale: log - y_label: "$A_{LL}$" - theory: - FK_tables: - - - STAR_2013_2JJET_C_510GEV_ALL diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_D_510GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_D_510GEV/metadata.yaml deleted file mode 100644 index 143c30b1f3..0000000000 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_D_510GEV/metadata.yaml +++ /dev/null @@ -1,39 +0,0 @@ -setname: "STAR_2013_2JET_D_510GEV" - -nnpdf_metadata: - experiment: "STAR" - nnpdf31_process: "DIJET" - -iNSPIRE: - url: "https://inspirehep.net/literature/1949588" -hepdata: - url: "https://www.hepdata.net/record/ins1949588" - version: 1 - -version: 1 -version_comment: "Initial implementation" - -implemented_observables: - - observable: { description: "ALL as function of $M_{inv}$, topology D", label: "$A_{LL}$", units: "" } - observable_name: ALL - process_type: DIJET_POL - ndata: 12 - tables: [5] - kinematics: - variables: - m_jj: {description: "dijet mass", label: "$m_{jj}$", units: "GeV"} - sqrts: {description: "center of mass energy", label: r"$\sqrt(s)$", units: "GeV"} - file: kinematics.yaml - kinematic_coverage: [m_jj, sqrts] - data_central: data.yaml - data_uncertainties: - - uncertainties.yaml - plotting: - dataset_label: "STAR 510 GeV (2013) DIJET $A_{LL}$, topology D" - kinematics_override: identity - plot_x: m_jj - x_scale: log - y_label: "$A_{LL}$" - theory: - FK_tables: - - - STAR_2013_2JJET_D_510GEV_ALL From 46ecd2ea94f9def9ec8f5455adbc169f53dc50cb Mon Sep 17 00:00:00 2001 From: giacomomagni Date: Fri, 17 May 2024 13:05:42 +0200 Subject: [PATCH 45/70] init collapsing 2015 dijets --- .../star/jet_dijet_2015_200gev.py | 8 +-- .../STAR_2015_1JET_200GEV/metadata.yaml | 2 + .../data_OS.yaml} | 0 .../data_SS.yaml} | 0 .../kinematics_OS.yaml} | 0 .../kinematics_SS.yaml} | 0 .../metadata.yaml | 64 +++++++++++++++++++ .../uncertainties_OS.yaml} | 0 .../uncertainties_SS.yaml} | 0 .../STAR_2015_2JET_OS_200GEV/metadata.yaml | 39 ----------- .../STAR_2015_2JET_SS_200GEV/metadata.yaml | 39 ----------- 11 files changed, 70 insertions(+), 82 deletions(-) rename nnpdf_data/nnpdf_data/new_commondata/{STAR_2015_2JET_OS_200GEV/data.yaml => STAR_2015_2JET_MIDRAP_200GEV/data_OS.yaml} (100%) rename nnpdf_data/nnpdf_data/new_commondata/{STAR_2015_2JET_SS_200GEV/data.yaml => STAR_2015_2JET_MIDRAP_200GEV/data_SS.yaml} (100%) rename nnpdf_data/nnpdf_data/new_commondata/{STAR_2015_2JET_OS_200GEV/kinematics.yaml => STAR_2015_2JET_MIDRAP_200GEV/kinematics_OS.yaml} (100%) rename nnpdf_data/nnpdf_data/new_commondata/{STAR_2015_2JET_SS_200GEV/kinematics.yaml => STAR_2015_2JET_MIDRAP_200GEV/kinematics_SS.yaml} (100%) create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/metadata.yaml rename nnpdf_data/nnpdf_data/new_commondata/{STAR_2015_2JET_OS_200GEV/uncertainties.yaml => STAR_2015_2JET_MIDRAP_200GEV/uncertainties_OS.yaml} (100%) rename nnpdf_data/nnpdf_data/new_commondata/{STAR_2015_2JET_SS_200GEV/uncertainties.yaml => STAR_2015_2JET_MIDRAP_200GEV/uncertainties_SS.yaml} (100%) delete mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_OS_200GEV/metadata.yaml delete mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_SS_200GEV/metadata.yaml diff --git a/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2015_200gev.py b/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2015_200gev.py index 45b922e2b6..9e6cbd6697 100644 --- a/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2015_200gev.py +++ b/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2015_200gev.py @@ -210,10 +210,10 @@ def write_1jet_data(df, art_sys): def write_2jet_data(df, topology, art_sys): - STORE_PATH = HERE / f"new_commondata/STAR_{YEAR}_2JET_{topology}_{SQRTS}GEV/" + STORE_PATH = HERE / f"new_commondata/STAR_{YEAR}_2JET_MIDRAP_{SQRTS}GEV/" # Write central data data_central_yaml = {"data_central": list(df["ALL"])} - with open(STORE_PATH / "data.yaml", "w", encoding="utf-8") as file: + with open(STORE_PATH / f"data_{topology}.yaml", "w", encoding="utf-8") as file: yaml.dump(data_central_yaml, file) # Write kin file @@ -229,7 +229,7 @@ def write_2jet_data(df, topology, art_sys): } kin.append(kin_value) kinematics_yaml = {"bins": kin} - with open(STORE_PATH / "kinematics.yaml", "w", encoding="utf-8") as file: + with open(STORE_PATH / f"kinematics_{topology}.yaml", "w", encoding="utf-8") as file: yaml.dump(kinematics_yaml, file) # Write unc file @@ -275,7 +275,7 @@ def write_2jet_data(df, topology, art_sys): ) uncertainties_yaml = {"definitions": error_definition, "bins": error} - with open(STORE_PATH / "uncertainties.yaml", "w", encoding="utf-8") as file: + with open(STORE_PATH / f"uncertainties_{topology}.yaml", "w", encoding="utf-8") as file: yaml.dump(uncertainties_yaml, file, sort_keys=False) diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/metadata.yaml index ec3fc04699..999d3d8d87 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/metadata.yaml @@ -4,6 +4,8 @@ nnpdf_metadata: experiment: "STAR" nnpdf31_process: "JETS" +arXiv: + url: https://arxiv.org/abs/2103.05571 iNSPIRE: url: "https://inspirehep.net/literature/1850855" hepdata: diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_OS_200GEV/data.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/data_OS.yaml similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_OS_200GEV/data.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/data_OS.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_SS_200GEV/data.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/data_SS.yaml similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_SS_200GEV/data.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/data_SS.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_OS_200GEV/kinematics.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/kinematics_OS.yaml similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_OS_200GEV/kinematics.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/kinematics_OS.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_SS_200GEV/kinematics.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/kinematics_SS.yaml similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_SS_200GEV/kinematics.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/kinematics_SS.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/metadata.yaml new file mode 100644 index 0000000000..be6ec6eff5 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/metadata.yaml @@ -0,0 +1,64 @@ +setname: "STAR_2015_2JET_MIDRAP_200GEV" + +nnpdf_metadata: + experiment: "STAR" + nnpdf31_process: "DIJET" + +arXiv: + url: https://arxiv.org/abs/2103.05571 +iNSPIRE: + url: "https://inspirehep.net/literature/1850855" +hepdata: + url: "https://www.hepdata.net/record/ins1850855" + version: 1 + +version: 1 +version_comment: "Initial implementation" + +implemented_observables: + - observable: { description: "ALL as function of $M_{inv}$, opposite sign $\eta$ topology", label: "$A_{LL}$", units: "" } + observable_name: ALL + process_type: DIJET_POL + ndata: 7 + tables: [2] + kinematics: + variables: + m_jj: {description: "dijet mass", label: "$m_{jj}$", units: "GeV"} + sqrts: {description: "center of mass energy", label: r"$\sqrt(s)$", units: "GeV"} + file: kinematics_OS.yaml + kinematic_coverage: [m_jj, sqrts] + data_central: data_OS.yaml + data_uncertainties: + - uncertainties_OS.yaml + plotting: + dataset_label: r"STAR 200 GeV (2015) DIJET $A_{LL}$, opposite sign $\eta$ topology" + kinematics_override: identity + plot_x: m_jj + x_scale: log + y_label: "$A_{LL}$" + theory: + FK_tables: + - - STAR_2015_2JET_MIDRAP_OS_510GEV_ALL + - observable: { description: "ALL as function of $M_{inv}$, same sign $\eta$ topology", label: "$A_{LL}$", units: "" } + observable_name: ALL + process_type: DIJET_POL + ndata: 7 + tables: [2] + kinematics: + variables: + m_jj: {description: "dijet mass", label: "$m_{jj}$", units: "GeV"} + sqrts: {description: "center of mass energy", label: r"$\sqrt(s)$", units: "GeV"} + file: kinematics_SS.yaml + kinematic_coverage: [m_jj, sqrts] + data_central: data_SS.yaml + data_uncertainties: + - uncertainties_SS.yaml + plotting: + dataset_label: r"STAR 200 GeV (2015) DIJET $A_{LL}$, same sign $\eta$ topology" + kinematics_override: identity + plot_x: m_jj + x_scale: log + y_label: "$A_{LL}$" + theory: + FK_tables: + - - STAR_2015_2JET_MIDRAP_SS_510GEV_ALL \ No newline at end of file diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_OS_200GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/uncertainties_OS.yaml similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_OS_200GEV/uncertainties.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/uncertainties_OS.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_SS_200GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/uncertainties_SS.yaml similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_SS_200GEV/uncertainties.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/uncertainties_SS.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_OS_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_OS_200GEV/metadata.yaml deleted file mode 100644 index c93fd4edc9..0000000000 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_OS_200GEV/metadata.yaml +++ /dev/null @@ -1,39 +0,0 @@ -setname: "STAR_2015_2JET_OS_200GEV" - -nnpdf_metadata: - experiment: "STAR" - nnpdf31_process: "DIJET" - -iNSPIRE: - url: "https://inspirehep.net/literature/1850855" -hepdata: - url: "https://www.hepdata.net/record/ins1850855" - version: 1 - -version: 1 -version_comment: "Initial implementation" - -implemented_observables: - - observable: { description: "ALL as function of $M_{inv}$, opposite sign $\eta$ topology", label: "$A_{LL}$", units: "" } - observable_name: ALL - process_type: DIJET_POL - ndata: 7 - tables: [2] - kinematics: - variables: - m_jj: {description: "dijet mass", label: "$m_{jj}$", units: "GeV"} - sqrts: {description: "center of mass energy", label: r"$\sqrt(s)$", units: "GeV"} - file: kinematics.yaml - kinematic_coverage: [m_jj, sqrts] - data_central: data.yaml - data_uncertainties: - - uncertainties.yaml - plotting: - dataset_label: r"STAR 200 GeV (2015) DIJET $A_{LL}$, opposite sign $\eta$ topology" - kinematics_override: identity - plot_x: m_jj - x_scale: log - y_label: "$A_{LL}$" - theory: - FK_tables: - - - STAR_2015_2JJET_OS_510GEV_ALL diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_SS_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_SS_200GEV/metadata.yaml deleted file mode 100644 index 2f79c16f39..0000000000 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_SS_200GEV/metadata.yaml +++ /dev/null @@ -1,39 +0,0 @@ -setname: "STAR_2015_2JET_SS_200GEV" - -nnpdf_metadata: - experiment: "STAR" - nnpdf31_process: "DIJET" - -iNSPIRE: - url: "https://inspirehep.net/literature/1850855" -hepdata: - url: "https://www.hepdata.net/record/ins1850855" - version: 1 - -version: 1 -version_comment: "Initial implementation" - -implemented_observables: - - observable: { description: "ALL as function of $M_{inv}$, same sign $\eta$ topology", label: "$A_{LL}$", units: "" } - observable_name: ALL - process_type: DIJET_POL - ndata: 7 - tables: [2] - kinematics: - variables: - m_jj: {description: "dijet mass", label: "$m_{jj}$", units: "GeV"} - sqrts: {description: "center of mass energy", label: r"$\sqrt(s)$", units: "GeV"} - file: kinematics.yaml - kinematic_coverage: [m_jj, sqrts] - data_central: data.yaml - data_uncertainties: - - uncertainties.yaml - plotting: - dataset_label: r"STAR 200 GeV (2015) DIJET $A_{LL}$, same sign $\eta$ topology" - kinematics_override: identity - plot_x: m_jj - x_scale: log - y_label: "$A_{LL}$" - theory: - FK_tables: - - - STAR_2015_2JJET_SS_510GEV_ALL From e5ed5285c69e8b8485ea5914099df9c8aadb4445 Mon Sep 17 00:00:00 2001 From: giacomomagni Date: Fri, 17 May 2024 13:11:11 +0200 Subject: [PATCH 46/70] addind missing refs --- .../nnpdf_data/new_commondata/PHENIX_1JET_200GEV/metadata.yaml | 2 ++ .../new_commondata/STAR_2005_1JET_200GEV/metadata.yaml | 2 ++ .../new_commondata/STAR_2006_1JET_200GEV/metadata.yaml | 2 ++ 3 files changed, 6 insertions(+) diff --git a/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/metadata.yaml index d608a07978..6f4fdec05e 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/metadata.yaml @@ -4,6 +4,8 @@ nnpdf_metadata: experiment: "PHENIX" nnpdf31_process: "JETS" +arXiv: + url: https://arxiv.org/abs/1009.4921 iNSPIRE: url: "https://inspirehep.net/literature/870912" hepdata: diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2005_1JET_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2005_1JET_200GEV/metadata.yaml index aa7892ff86..f0a2a5d56f 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2005_1JET_200GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2005_1JET_200GEV/metadata.yaml @@ -4,6 +4,8 @@ nnpdf_metadata: experiment: "STAR" nnpdf31_process: "JETS" +arXiv: + url: https://arxiv.org/abs/1205.2735 iNSPIRE: url: "https://inspirehep.net/literature/1114529" hepdata: diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2006_1JET_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2006_1JET_200GEV/metadata.yaml index b8dfe98236..fd33472a5b 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2006_1JET_200GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2006_1JET_200GEV/metadata.yaml @@ -4,6 +4,8 @@ nnpdf_metadata: experiment: "STAR" nnpdf31_process: "JETS" +arXiv: + url: https://arxiv.org/abs/1205.2735 iNSPIRE: url: "https://inspirehep.net/literature/1114529" hepdata: From 31ab9c2f2067313accf40a64d8ffd665cf11050f Mon Sep 17 00:00:00 2001 From: giacomomagni Date: Fri, 17 May 2024 13:47:20 +0200 Subject: [PATCH 47/70] some fixes --- .../STAR_2012_2JET_510GEV/metadata.yaml | 10 +++++----- .../STAR_2013_2JET_510GEV/metadata.yaml | 16 ++++++++-------- .../STAR_2015_2JET_MIDRAP_200GEV/metadata.yaml | 8 ++++---- 3 files changed, 17 insertions(+), 17 deletions(-) diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/metadata.yaml index 6be52d89cd..cc64232cd0 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/metadata.yaml @@ -18,7 +18,7 @@ version_comment: "Initial implementation, correlations from arXiv" implemented_observables: - observable: { description: "ALL as function of $M_{inv}$, topology A", label: "$A_{LL}$", units: "" } - observable_name: ALL + observable_name: A-ALL process_type: DIJET_POL ndata: 10 tables: [14] @@ -41,7 +41,7 @@ implemented_observables: FK_tables: - - STAR_2012_2JET_510GEV_A_ALL - observable: { description: "ALL as function of $M_{inv}$, topology B", label: "$A_{LL}$", units: "" } - observable_name: ALL + observable_name: B-ALL process_type: DIJET_POL ndata: 11 tables: [14] @@ -53,7 +53,7 @@ implemented_observables: kinematic_coverage: [m_jj, sqrts] data_central: data_B.yaml data_uncertainties: - - uncertainties_C.yaml + - uncertainties_B.yaml plotting: dataset_label: "STAR 510 GeV (2012) DIJET $A_{LL}$, topology B" kinematics_override: identity @@ -64,7 +64,7 @@ implemented_observables: FK_tables: - - STAR_2012_2JET_510GEV_B_ALL - observable: { description: "ALL as function of $M_{inv}$, topology C", label: "$A_{LL}$", units: "" } - observable_name: ALL + observable_name: C-ALL process_type: DIJET_POL ndata: 10 tables: [14] @@ -87,7 +87,7 @@ implemented_observables: FK_tables: - - STAR_2012_2JET_510GEV_C_ALL - observable: { description: "ALL as function of $M_{inv}$, topology D", label: "$A_{LL}$", units: "" } - observable_name: ALL + observable_name: D-ALL process_type: DIJET_POL ndata: 11 tables: [14] diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/metadata.yaml index 4c0fdecac7..e9c6a3be9d 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/metadata.yaml @@ -17,7 +17,7 @@ version_comment: "Initial implementation" implemented_observables: - observable: { description: "ALL as function of $M_{inv}$, topology A", label: "$A_{LL}$", units: "" } - observable_name: ALL + observable_name: A-ALL process_type: DIJET_POL ndata: 12 tables: [5] @@ -38,9 +38,9 @@ implemented_observables: y_label: "$A_{LL}$" theory: FK_tables: - - - STAR_2013_2JET_A_510GEV_ALL + - - STAR_2013_2JET_510GEV_A_ALL - observable: { description: "ALL as function of $M_{inv}$, topology B", label: "$A_{LL}$", units: "" } - observable_name: ALL + observable_name: B-ALL process_type: DIJET_POL ndata: 13 tables: [5] @@ -61,9 +61,9 @@ implemented_observables: y_label: "$A_{LL}$" theory: FK_tables: - - - STAR_2013_2JET_B_510GEV_ALL + - - STAR_2013_2JET_510GEV_B_ALL - observable: { description: "ALL as function of $M_{inv}$, topology C", label: "$A_{LL}$", units: "" } - observable_name: ALL + observable_name: C-ALL process_type: DIJET_POL ndata: 12 tables: [5] @@ -84,9 +84,9 @@ implemented_observables: y_label: "$A_{LL}$" theory: FK_tables: - - - STAR_2013_2JET_C_510GEV_ALL + - - STAR_2013_2JET_510GEV_C_ALL - observable: { description: "ALL as function of $M_{inv}$, topology D", label: "$A_{LL}$", units: "" } - observable_name: ALL + observable_name: D-ALL process_type: DIJET_POL ndata: 12 tables: [5] @@ -107,4 +107,4 @@ implemented_observables: y_label: "$A_{LL}$" theory: FK_tables: - - - STAR_2013_2JET_D_510GEV_ALL \ No newline at end of file + - - STAR_2013_2JET_510GEV_D_ALL \ No newline at end of file diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/metadata.yaml index be6ec6eff5..fdd4d15b76 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/metadata.yaml @@ -17,7 +17,7 @@ version_comment: "Initial implementation" implemented_observables: - observable: { description: "ALL as function of $M_{inv}$, opposite sign $\eta$ topology", label: "$A_{LL}$", units: "" } - observable_name: ALL + observable_name: OS-ALL process_type: DIJET_POL ndata: 7 tables: [2] @@ -38,9 +38,9 @@ implemented_observables: y_label: "$A_{LL}$" theory: FK_tables: - - - STAR_2015_2JET_MIDRAP_OS_510GEV_ALL + - - STAR_2015_2JET_MIDRAP_510GEV_OS_ALL - observable: { description: "ALL as function of $M_{inv}$, same sign $\eta$ topology", label: "$A_{LL}$", units: "" } - observable_name: ALL + observable_name: SS-ALL process_type: DIJET_POL ndata: 7 tables: [2] @@ -61,4 +61,4 @@ implemented_observables: y_label: "$A_{LL}$" theory: FK_tables: - - - STAR_2015_2JET_MIDRAP_SS_510GEV_ALL \ No newline at end of file + - - STAR_2015_2JET_MIDRAP_510GEV_SS_ALL \ No newline at end of file From 9347f457de030b53e1ca8d3066f34518bfb35ee5 Mon Sep 17 00:00:00 2001 From: giacomomagni Date: Fri, 17 May 2024 14:02:44 +0200 Subject: [PATCH 48/70] Adding lumi shift to 2013 data --- .../star/jet_dijet_2013_510gev.py | 19 ++++++++++++++++++- .../STAR_2013_1JET_510GEV/uncertainties.yaml | 18 ++++++++++++++++++ .../uncertainties_A.yaml | 16 ++++++++++++++++ .../uncertainties_B.yaml | 17 +++++++++++++++++ .../uncertainties_C.yaml | 16 ++++++++++++++++ .../uncertainties_D.yaml | 16 ++++++++++++++++ 6 files changed, 101 insertions(+), 1 deletion(-) diff --git a/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2013_510gev.py b/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2013_510gev.py index 569cc899dc..06ca98d32b 100644 --- a/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2013_510gev.py +++ b/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2013_510gev.py @@ -16,6 +16,7 @@ SQRTS = 510 ETA_ABS = 0.9 POL_UNC = 0.064 +LUMI_UNC = 0.00047 YEAR = 2013 TOPOPLOGY_LIST = ["1JET", "A", "B", "C", "D"] @@ -49,6 +50,7 @@ def read_1jet_data(): df["stat"] = all_data[r"stat +"] df["syst"] = all_data[r"syst +"] df["pol"] = POL_UNC * abs(df["ALL"]) + df["lumi"] = LUMI_UNC print("1JET data loaded. Npoint: ", len(df)) return df @@ -76,6 +78,7 @@ def read_2jet_data(topology): df["stat"] = all_data[r"stat +"] df["syst"] = all_data[r"syst +"] df["pol"] = POL_UNC * abs(df["ALL"]) + df["lumi"] = LUMI_UNC print(f"2JET {topology} data loaded. Npoint: ", len(df)) return df @@ -161,10 +164,18 @@ def write_1jet_data(df, art_sys): "treatment": "MULT", "type": f"STAR{YEAR}POL", }, + "lumi": { + "description": "luminosity uncertainty", + "treatment": "ADD", + "type": f"STAR{YEAR}LUMI", + }, } # loop on data points for i, sys_i in enumerate(art_sys): - e = {"pol": float(df.loc[i, "pol"])} + e = { + "pol": float(df.loc[i, "pol"]), + "lumi": float(df.loc[i, "lumi"]) + } # loop on art sys for j, val in enumerate(sys_i): e[f"sys_{j}"] = val @@ -223,12 +234,18 @@ def write_2jet_data(df, topology, art_sys): "treatment": "MULT", "type": f"STAR{YEAR}POL", }, + "lumi": { + "description": "luminosity uncertainty", + "treatment": "ADD", + "type": f"STAR{YEAR}LUMI", + }, } # loop on data points for i, sys_i in enumerate(art_sys): e = { "stat": float(df.loc[i, "stat"]), "pol": float(df.loc[i, "pol"]), + "lumi": float(df.loc[i, "lumi"]), } # loop on art sys for j, val in enumerate(sys_i): diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/uncertainties.yaml index b75f70c586..d53f02de56 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/uncertainties.yaml @@ -3,6 +3,10 @@ definitions: description: beam polarization uncertainty treatment: MULT type: STAR2013POL + lumi: + description: luminosity uncertainty + treatment: ADD + type: STAR2013LUMI sys_0: description: 0 artificial correlated statistical + systematics uncertainty treatment: ADD @@ -257,6 +261,7 @@ definitions: type: STAR2013JETunc62 bins: - pol: 0.00040064 + lumi: 0.00047 sys_0: -8.959677092850805e-10 sys_1: 9.832716726753248e-09 sys_2: 6.730954169673362e-08 @@ -321,6 +326,7 @@ bins: sys_61: 1.695949026719929e-08 sys_62: 4.068655178934001e-08 - pol: 0.00016512 + lumi: 0.00047 sys_0: -1.202440186311471e-09 sys_1: 1.2813446483400317e-08 sys_2: 8.81050970897512e-08 @@ -385,6 +391,7 @@ bins: sys_61: 1.5882781871113175e-07 sys_62: 1.476017840728621e-07 - pol: 0.00017728 + lumi: 0.00047 sys_0: -2.029626906402448e-09 sys_1: 1.7836760297927526e-08 sys_2: 1.0627274752256677e-07 @@ -449,6 +456,7 @@ bins: sys_61: 8.583540740030501e-07 sys_62: 1.5503622047436774e-07 - pol: 4.8e-05 + lumi: 0.00047 sys_0: -2.317611030883938e-09 sys_1: 2.0103077754186072e-08 sys_2: 1.221490288409029e-07 @@ -513,6 +521,7 @@ bins: sys_61: 1.7222827306715096e-06 sys_62: -9.247304481271197e-07 - pol: 5.44e-05 + lumi: 0.00047 sys_0: -5.794556391557737e-09 sys_1: 4.184211349903503e-08 sys_2: 2.6618567237308233e-07 @@ -577,6 +586,7 @@ bins: sys_61: 2.2522518080254573e-06 sys_62: -1.0715258476286533e-06 - pol: 0.00028416000000000004 + lumi: 0.00047 sys_0: -1.3031478055734842e-06 sys_1: 2.5765217725622465e-06 sys_2: 4.098773110280467e-06 @@ -641,6 +651,7 @@ bins: sys_61: 1.0653144764978103e-05 sys_62: -3.301748478993185e-06 - pol: 0.00019711999999999998 + lumi: 0.00047 sys_0: -1.3645531518127146e-06 sys_1: 4.007352188193593e-06 sys_2: 7.118280416455643e-06 @@ -705,6 +716,7 @@ bins: sys_61: 8.110592685806155e-06 sys_62: -2.9470442625980592e-06 - pol: 0.00036608 + lumi: 0.00047 sys_0: -4.410061141775246e-06 sys_1: 8.827712539715316e-06 sys_2: 1.5915934216203423e-05 @@ -769,6 +781,7 @@ bins: sys_61: 1.9118831698037573e-06 sys_62: -3.1450946824362763e-06 - pol: 0.00064512 + lumi: 0.00047 sys_0: -9.131724744467474e-06 sys_1: 1.863235365253899e-05 sys_2: 3.3956019925427964e-05 @@ -833,6 +846,7 @@ bins: sys_61: -2.652476147993337e-06 sys_62: -2.631173820600041e-06 - pol: 0.0006611200000000001 + lumi: 0.00047 sys_0: -2.435929877389478e-05 sys_1: 4.385340201952634e-05 sys_2: 8.054820474610805e-05 @@ -897,6 +911,7 @@ bins: sys_61: -3.855018491750307e-06 sys_62: -1.9427906611187093e-06 - pol: 0.0007993599999999999 + lumi: 0.00047 sys_0: -6.0544102812491e-05 sys_1: 0.00010598849026939544 sys_2: 0.00021379958305045062 @@ -961,6 +976,7 @@ bins: sys_61: -3.2070331988170936e-06 sys_62: -1.2278020423447078e-06 - pol: 0.0011673599999999999 + lumi: 0.00047 sys_0: -0.0001577103692828836 sys_1: 0.00029912242658556974 sys_2: 0.004808687956200867 @@ -1025,6 +1041,7 @@ bins: sys_61: -1.970881120092344e-06 sys_62: -5.924851514078511e-07 - pol: 0.0014112 + lumi: 0.00047 sys_0: -0.00045504371463879224 sys_1: 0.007914936126560801 sys_2: -0.00022897842682166285 @@ -1089,6 +1106,7 @@ bins: sys_61: -8.847799754759238e-07 sys_62: -1.3186838446226118e-07 - pol: 0.00289728 + lumi: 0.00047 sys_0: -0.014037407329102298 sys_1: -0.0002905887232621964 sys_2: -6.535182661833837e-05 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/uncertainties_A.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/uncertainties_A.yaml index 56115a4a24..b04992730f 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/uncertainties_A.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/uncertainties_A.yaml @@ -7,6 +7,10 @@ definitions: description: beam polarization uncertainty treatment: MULT type: STAR2013POL + lumi: + description: luminosity uncertainty + treatment: ADD + type: STAR2013LUMI sys_0: description: 0 artificial correlated systematics uncertainty treatment: ADD @@ -262,6 +266,7 @@ definitions: bins: - stat: 0.00619 pol: 0.00035072 + lumi: 0.00047 sys_0: -1.8442665253564098e-08 sys_1: 9.128062228545417e-08 sys_2: 3.0998812240715233e-07 @@ -327,6 +332,7 @@ bins: sys_62: 4.157211360391717e-05 - stat: 0.00289 pol: 7.04e-06 + lumi: 0.00047 sys_0: -7.838875974830611e-08 sys_1: 4.029804267681053e-07 sys_2: 1.4263812561994197e-06 @@ -392,6 +398,7 @@ bins: sys_62: -4.076207527766995e-05 - stat: 0.00248 pol: 0.0001056 + lumi: 0.00047 sys_0: -2.8468150405070355e-08 sys_1: 1.302892686669323e-07 sys_2: 4.2550586928508e-07 @@ -457,6 +464,7 @@ bins: sys_62: 4.121418069420012e-05 - stat: 0.00226 pol: 8.256e-05 + lumi: 0.00047 sys_0: -4.6544610935439495e-08 sys_1: 2.3007219919492261e-07 sys_2: 7.952844513686009e-07 @@ -522,6 +530,7 @@ bins: sys_62: 0.00021475672701815719 - stat: 0.00246 pol: 0.00015872 + lumi: 0.00047 sys_0: -4.534138982447269e-08 sys_1: 2.2504896724296193e-07 sys_2: 7.917709026102204e-07 @@ -587,6 +596,7 @@ bins: sys_62: 7.73366041438697e-05 - stat: 0.00311 pol: 0.00037184 + lumi: 0.00047 sys_0: -4.500893914289471e-08 sys_1: 2.1858653897192284e-07 sys_2: 7.79153722769766e-07 @@ -652,6 +662,7 @@ bins: sys_62: 3.0384184455649006e-05 - stat: 0.00349 pol: 0.00042624000000000004 + lumi: 0.00047 sys_0: -5.7977978168794394e-08 sys_1: 2.9729274345840024e-07 sys_2: 2.7849696168819077e-06 @@ -717,6 +728,7 @@ bins: sys_62: 1.6831769406156224e-05 - stat: 0.00472 pol: 0.0007296000000000001 + lumi: 0.00047 sys_0: -1.2307329310568736e-07 sys_1: 1.8453058533627218e-06 sys_2: 8.128992279649453e-06 @@ -782,6 +794,7 @@ bins: sys_62: 9.245856630486994e-06 - stat: 0.00659 pol: 0.0011686399999999999 + lumi: 0.00047 sys_0: -2.012664434190439e-06 sys_1: 9.343738640456632e-06 sys_2: 2.656361359743435e-05 @@ -847,6 +860,7 @@ bins: sys_62: 4.497841620233109e-06 - stat: 0.01045 pol: 0.00155584 + lumi: 0.00047 sys_0: -1.1399876370921493e-05 sys_1: 3.460208095882234e-05 sys_2: 8.128788330846539e-05 @@ -912,6 +926,7 @@ bins: sys_62: 1.8094252933826653e-06 - stat: 0.01633 pol: 0.00232832 + lumi: 0.00047 sys_0: -4.3391282027328335e-05 sys_1: 0.00010733055374682666 sys_2: 0.00017349825516788553 @@ -977,6 +992,7 @@ bins: sys_62: 1.6078432326039527e-06 - stat: 0.02919 pol: 0.0005049599999999999 + lumi: 0.00047 sys_0: -0.0001582145343682221 sys_1: 0.00023785644592245637 sys_2: 0.00018923810995146129 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/uncertainties_B.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/uncertainties_B.yaml index dfa684d8e9..57f0656990 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/uncertainties_B.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/uncertainties_B.yaml @@ -7,6 +7,10 @@ definitions: description: beam polarization uncertainty treatment: MULT type: STAR2013POL + lumi: + description: luminosity uncertainty + treatment: ADD + type: STAR2013LUMI sys_0: description: 0 artificial correlated systematics uncertainty treatment: ADD @@ -262,6 +266,7 @@ definitions: bins: - stat: 0.00533 pol: 0.00024384 + lumi: 0.00047 sys_0: -3.468382363342568e-08 sys_1: 1.8121652909760799e-07 sys_2: 5.838496850963883e-07 @@ -327,6 +332,7 @@ bins: sys_62: -2.2672083449213552e-05 - stat: 0.00213 pol: 0.00019136 + lumi: 0.00047 sys_0: -9.090601444875332e-08 sys_1: 4.616157558012612e-07 sys_2: 1.473310204477202e-06 @@ -392,6 +398,7 @@ bins: sys_62: 8.398314077938356e-05 - stat: 0.00173 pol: 7.424000000000001e-05 + lumi: 0.00047 sys_0: -8.530127204466283e-08 sys_1: 4.29673266336131e-07 sys_2: 1.3304320577341956e-06 @@ -457,6 +464,7 @@ bins: sys_62: 5.762533776139228e-05 - stat: 0.00152 pol: 0.00021504 + lumi: 0.00047 sys_0: -1.1152205784023518e-07 sys_1: 5.632982151226721e-07 sys_2: 1.7794589363130775e-06 @@ -522,6 +530,7 @@ bins: sys_62: -3.796889291143406e-05 - stat: 0.00161 pol: 3.84e-05 + lumi: 0.00047 sys_0: -1.1169536414096341e-07 sys_1: 5.629576028352181e-07 sys_2: 1.7886807965226788e-06 @@ -587,6 +596,7 @@ bins: sys_62: -5.1363235548141263e-05 - stat: 0.00202 pol: 9.855999999999999e-05 + lumi: 0.00047 sys_0: -9.692271653941357e-08 sys_1: 4.942929134532881e-07 sys_2: 1.6295369068757726e-06 @@ -652,6 +662,7 @@ bins: sys_62: -0.0001278038928716919 - stat: 0.00224 pol: 0.0003968 + lumi: 0.00047 sys_0: -1.1313231922673203e-07 sys_1: 5.8776988624716e-07 sys_2: 3.6125771096691164e-06 @@ -717,6 +728,7 @@ bins: sys_62: 4.6771652136488883e-05 - stat: 0.00297 pol: 0.0005536 + lumi: 0.00047 sys_0: -1.765422887477046e-07 sys_1: 2.0551743805244367e-06 sys_2: 9.859150544691759e-06 @@ -782,6 +794,7 @@ bins: sys_62: 1.4871429582216254e-05 - stat: 0.00406 pol: 0.0005158399999999999 + lumi: 0.00047 sys_0: -1.9304449086169784e-06 sys_1: 1.0378470446209637e-05 sys_2: 3.1029803365074237e-05 @@ -847,6 +860,7 @@ bins: sys_62: 5.130470650393264e-06 - stat: 0.00629 pol: 0.00155392 + lumi: 0.00047 sys_0: -1.2536445300773651e-05 sys_1: 3.848548585424122e-05 sys_2: 8.518413112749595e-05 @@ -912,6 +926,7 @@ bins: sys_62: 1.4754204121214294e-06 - stat: 0.00953 pol: 0.0006803200000000001 + lumi: 0.00047 sys_0: -4.61630218202905e-05 sys_1: 0.00010734443625050014 sys_2: 0.0001717408755548584 @@ -977,6 +992,7 @@ bins: sys_62: 1.6605655103780758e-06 - stat: 0.01613 pol: 0.00079872 + lumi: 0.00047 sys_0: -0.0001384089360340667 sys_1: 0.0002089501775235047 sys_2: 0.00017467888563264523 @@ -1042,6 +1058,7 @@ bins: sys_62: -1.4181091930554394e-07 - stat: 0.02978 pol: 0.00322368 + lumi: 0.00047 sys_0: -0.0005375590456296148 sys_1: 0.0004247513096179986 sys_2: 0.00015231468989848919 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/uncertainties_C.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/uncertainties_C.yaml index 0d9d0e60ec..d1ad34dfca 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/uncertainties_C.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/uncertainties_C.yaml @@ -7,6 +7,10 @@ definitions: description: beam polarization uncertainty treatment: MULT type: STAR2013POL + lumi: + description: luminosity uncertainty + treatment: ADD + type: STAR2013LUMI sys_0: description: 0 artificial correlated systematics uncertainty treatment: ADD @@ -262,6 +266,7 @@ definitions: bins: - stat: 0.00785 pol: 0.0007392 + lumi: 0.00047 sys_0: -4.100959127774964e-07 sys_1: 1.222332698478793e-06 sys_2: 2.05687127807516e-06 @@ -327,6 +332,7 @@ bins: sys_62: 7.299765596649971e-06 - stat: 0.00367 pol: 4.8e-05 + lumi: 0.00047 sys_0: -1.8501931900701732e-06 sys_1: 5.816479741016232e-06 sys_2: 1.117343944426216e-05 @@ -392,6 +398,7 @@ bins: sys_62: -5.3538188824715525e-06 - stat: 0.00317 pol: 0.00018752 + lumi: 0.00047 sys_0: -7.06985540704637e-07 sys_1: 2.047809323259492e-06 sys_2: 3.206126094091834e-06 @@ -457,6 +464,7 @@ bins: sys_62: 0.00022180010222988035 - stat: 0.00291 pol: 1.1520000000000002e-05 + lumi: 0.00047 sys_0: -1.1394923825192585e-06 sys_1: 3.3584175291326274e-06 sys_2: 5.517441427429289e-06 @@ -522,6 +530,7 @@ bins: sys_62: 2.8882203891701888e-05 - stat: 0.00317 pol: 0.00041920000000000005 + lumi: 0.00047 sys_0: -1.0055431921622787e-06 sys_1: 2.9559665736729617e-06 sys_2: 4.835313364366917e-06 @@ -587,6 +596,7 @@ bins: sys_62: 2.2732328432324687e-05 - stat: 0.004 pol: 0.00062016 + lumi: 0.00047 sys_0: -7.982530653253943e-07 sys_1: 2.3526122878835294e-06 sys_2: 3.903999488363647e-06 @@ -652,6 +662,7 @@ bins: sys_62: 1.3946435744793562e-05 - stat: 0.00448 pol: 0.00052288 + lumi: 0.00047 sys_0: -7.629582335717668e-07 sys_1: 2.2930528290573246e-06 sys_2: 5.4168186296954345e-06 @@ -717,6 +728,7 @@ bins: sys_62: 1.1343586365878917e-05 - stat: 0.00603 pol: 0.00084288 + lumi: 0.00047 sys_0: -7.196379769948711e-07 sys_1: 3.841066107188445e-06 sys_2: 1.055275654751577e-05 @@ -782,6 +794,7 @@ bins: sys_62: 9.664290940358064e-06 - stat: 0.00833 pol: 0.00119424 + lumi: 0.00047 sys_0: -3.056381573146764e-06 sys_1: 1.2227822520879637e-05 sys_2: 3.067532258845744e-05 @@ -847,6 +860,7 @@ bins: sys_62: 8.032471762559063e-06 - stat: 0.01292 pol: 0.00109568 + lumi: 0.00047 sys_0: -1.3933736532744972e-05 sys_1: 4.263267579515523e-05 sys_2: 9.349430373992513e-05 @@ -912,6 +926,7 @@ bins: sys_62: 6.7171731111360795e-06 - stat: 0.01964 pol: 0.00086848 + lumi: 0.00047 sys_0: -5.2224816543540025e-05 sys_1: 0.00011437109584364653 sys_2: 0.00017185485398267633 @@ -977,6 +992,7 @@ bins: sys_62: 5.229117363656164e-06 - stat: 0.03322 pol: 0.000368 + lumi: 0.00047 sys_0: -0.0001821538669113795 sys_1: 0.0002428086358083653 sys_2: 0.00019902420286007486 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/uncertainties_D.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/uncertainties_D.yaml index 4aad0bb3f6..a56376bc19 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/uncertainties_D.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/uncertainties_D.yaml @@ -7,6 +7,10 @@ definitions: description: beam polarization uncertainty treatment: MULT type: STAR2013POL + lumi: + description: luminosity uncertainty + treatment: ADD + type: STAR2013LUMI sys_0: description: 0 artificial correlated systematics uncertainty treatment: ADD @@ -262,6 +266,7 @@ definitions: bins: - stat: 0.00466 pol: 0.00067072 + lumi: 0.00047 sys_0: -8.246189673601546e-07 sys_1: 2.7810751638783183e-06 sys_2: 5.956720831913832e-06 @@ -327,6 +332,7 @@ bins: sys_62: 1.0567798499199847e-05 - stat: 0.00302 pol: 0.00018944 + lumi: 0.00047 sys_0: -4.997327691153951e-07 sys_1: 1.6284178687517042e-06 sys_2: 3.2440683053073596e-06 @@ -392,6 +398,7 @@ bins: sys_62: -0.00035837619026315103 - stat: 0.00235 pol: 0.00019648 + lumi: 0.00047 sys_0: -1.2322595716463065e-06 sys_1: 4.141704840515627e-06 sys_2: 8.792691224674361e-06 @@ -457,6 +464,7 @@ bins: sys_62: -1.06050585369882e-05 - stat: 0.00229 pol: 4.6080000000000006e-05 + lumi: 0.00047 sys_0: -1.0343763729771366e-06 sys_1: 3.447940072340132e-06 sys_2: 7.205331797379565e-06 @@ -522,6 +530,7 @@ bins: sys_62: -1.4121347509033479e-05 - stat: 0.00278 pol: 0.00010816000000000001 + lumi: 0.00047 sys_0: -7.546643274499027e-07 sys_1: 2.5077908840206717e-06 sys_2: 5.232506125093797e-06 @@ -587,6 +596,7 @@ bins: sys_62: -1.3227487664635489e-05 - stat: 0.003 pol: 0.00032063999999999997 + lumi: 0.00047 sys_0: -6.659628598028416e-07 sys_1: 2.23116447955261e-06 sys_2: 5.5323214912652514e-06 @@ -652,6 +662,7 @@ bins: sys_62: -1.2085082539939634e-05 - stat: 0.00382 pol: 0.00028352 + lumi: 0.00047 sys_0: -5.326099380504057e-07 sys_1: 1.8430676926367074e-06 sys_2: 7.2716645021494255e-06 @@ -717,6 +728,7 @@ bins: sys_62: -7.81171189563106e-06 - stat: 0.005 pol: 0.00056768 + lumi: 0.00047 sys_0: -5.300674818349766e-07 sys_1: 5.062211933315961e-06 sys_2: 1.4574894428516086e-05 @@ -782,6 +794,7 @@ bins: sys_62: -3.899561231030796e-06 - stat: 0.00747 pol: 0.0006303999999999999 + lumi: 0.00047 sys_0: -3.5594850793009027e-06 sys_1: 1.4357113530376482e-05 sys_2: 3.7395184608793296e-05 @@ -847,6 +860,7 @@ bins: sys_62: -8.320501431985912e-07 - stat: 0.01095 pol: 0.00022464000000000002 + lumi: 0.00047 sys_0: -1.5228455235119592e-05 sys_1: 4.3147530546065046e-05 sys_2: 8.529090376974244e-05 @@ -912,6 +926,7 @@ bins: sys_62: 2.5193919058972847e-07 - stat: 0.01797 pol: 0.00201024 + lumi: 0.00047 sys_0: -5.221725858549406e-05 sys_1: 0.00011109036301678784 sys_2: 0.0001374635404968144 @@ -977,6 +992,7 @@ bins: sys_62: 1.7969917942623896e-07 - stat: 0.03187 pol: 0.00071296 + lumi: 0.00047 sys_0: -0.00022560839549655114 sys_1: 0.00026503748033196044 sys_2: 0.00017282686211184703 From fe6afde0707b75a4c85c65ea961cee5bcdc72ef9 Mon Sep 17 00:00:00 2001 From: giacomomagni Date: Fri, 17 May 2024 14:30:26 +0200 Subject: [PATCH 49/70] collapse 2009 dijets --- .../star/jet_dijet_2009_200gev.py | 28 +++-- .../STAR_2009_1JET_200GEV/metadata.yaml | 2 + .../data_A.yaml} | 0 .../data_B.yaml} | 0 .../data_C.yaml} | 0 .../kinematics_A.yaml} | 0 .../kinematics_B.yaml} | 0 .../kinematics_C.yaml} | 0 .../STAR_2009_2JET_200GEV/metadata.yaml | 117 ++++++++++++++++++ .../rawdata/Table_A.yaml} | 0 .../rawdata/Table_B.yaml} | 0 .../rawdata/Table_C.yaml} | 0 .../uncertainties_A.yaml} | 0 .../uncertainties_B.yaml} | 0 .../uncertainties_C.yaml} | 0 .../STAR_2009_2JET_A_200GEV/metadata.yaml | 49 -------- .../STAR_2009_2JET_B_200GEV/metadata.yaml | 49 -------- .../STAR_2009_2JET_C_200GEV/metadata.yaml | 49 -------- .../data_OS.yaml} | 0 .../data_SS.yaml} | 0 .../kinematics_OS.yaml} | 0 .../kinematics_SS.yaml} | 0 .../metadata.yaml | 84 +++++++++++++ .../rawdata/Table_OS.yaml} | 0 .../rawdata/Table_SS.yaml} | 0 .../uncertainties_OS.yaml} | 0 .../uncertainties_SS.yaml} | 0 .../STAR_2009_2JET_OS_200GEV/metadata.yaml | 49 -------- .../STAR_2009_2JET_SS_200GEV/metadata.yaml | 49 -------- 29 files changed, 224 insertions(+), 252 deletions(-) rename nnpdf_data/nnpdf_data/new_commondata/{STAR_2009_2JET_A_200GEV/data.yaml => STAR_2009_2JET_200GEV/data_A.yaml} (100%) rename nnpdf_data/nnpdf_data/new_commondata/{STAR_2009_2JET_B_200GEV/data.yaml => STAR_2009_2JET_200GEV/data_B.yaml} (100%) rename nnpdf_data/nnpdf_data/new_commondata/{STAR_2009_2JET_C_200GEV/data.yaml => STAR_2009_2JET_200GEV/data_C.yaml} (100%) rename nnpdf_data/nnpdf_data/new_commondata/{STAR_2009_2JET_A_200GEV/kinematics.yaml => STAR_2009_2JET_200GEV/kinematics_A.yaml} (100%) rename nnpdf_data/nnpdf_data/new_commondata/{STAR_2009_2JET_B_200GEV/kinematics.yaml => STAR_2009_2JET_200GEV/kinematics_B.yaml} (100%) rename nnpdf_data/nnpdf_data/new_commondata/{STAR_2009_2JET_C_200GEV/kinematics.yaml => STAR_2009_2JET_200GEV/kinematics_C.yaml} (100%) create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/metadata.yaml rename nnpdf_data/nnpdf_data/new_commondata/{STAR_2009_2JET_A_200GEV/rawdata/Table.yaml => STAR_2009_2JET_200GEV/rawdata/Table_A.yaml} (100%) rename nnpdf_data/nnpdf_data/new_commondata/{STAR_2009_2JET_B_200GEV/rawdata/Table.yaml => STAR_2009_2JET_200GEV/rawdata/Table_B.yaml} (100%) rename nnpdf_data/nnpdf_data/new_commondata/{STAR_2009_2JET_C_200GEV/rawdata/Table.yaml => STAR_2009_2JET_200GEV/rawdata/Table_C.yaml} (100%) rename nnpdf_data/nnpdf_data/new_commondata/{STAR_2009_2JET_A_200GEV/uncertainties.yaml => STAR_2009_2JET_200GEV/uncertainties_A.yaml} (100%) rename nnpdf_data/nnpdf_data/new_commondata/{STAR_2009_2JET_B_200GEV/uncertainties.yaml => STAR_2009_2JET_200GEV/uncertainties_B.yaml} (100%) rename nnpdf_data/nnpdf_data/new_commondata/{STAR_2009_2JET_C_200GEV/uncertainties.yaml => STAR_2009_2JET_200GEV/uncertainties_C.yaml} (100%) delete mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/metadata.yaml delete mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/metadata.yaml delete mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/metadata.yaml rename nnpdf_data/nnpdf_data/new_commondata/{STAR_2009_2JET_OS_200GEV/data.yaml => STAR_2009_2JET_MIDRAP_200GEV/data_OS.yaml} (100%) rename nnpdf_data/nnpdf_data/new_commondata/{STAR_2009_2JET_SS_200GEV/data.yaml => STAR_2009_2JET_MIDRAP_200GEV/data_SS.yaml} (100%) rename nnpdf_data/nnpdf_data/new_commondata/{STAR_2009_2JET_OS_200GEV/kinematics.yaml => STAR_2009_2JET_MIDRAP_200GEV/kinematics_OS.yaml} (100%) rename nnpdf_data/nnpdf_data/new_commondata/{STAR_2009_2JET_SS_200GEV/kinematics.yaml => STAR_2009_2JET_MIDRAP_200GEV/kinematics_SS.yaml} (100%) create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/metadata.yaml rename nnpdf_data/nnpdf_data/new_commondata/{STAR_2009_2JET_OS_200GEV/rawdata/Table.yaml => STAR_2009_2JET_MIDRAP_200GEV/rawdata/Table_OS.yaml} (100%) rename nnpdf_data/nnpdf_data/new_commondata/{STAR_2009_2JET_SS_200GEV/rawdata/Table.yaml => STAR_2009_2JET_MIDRAP_200GEV/rawdata/Table_SS.yaml} (100%) rename nnpdf_data/nnpdf_data/new_commondata/{STAR_2009_2JET_OS_200GEV/uncertainties.yaml => STAR_2009_2JET_MIDRAP_200GEV/uncertainties_OS.yaml} (100%) rename nnpdf_data/nnpdf_data/new_commondata/{STAR_2009_2JET_SS_200GEV/uncertainties.yaml => STAR_2009_2JET_MIDRAP_200GEV/uncertainties_SS.yaml} (100%) delete mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_OS_200GEV/metadata.yaml delete mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_SS_200GEV/metadata.yaml diff --git a/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2009_200gev.py b/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2009_200gev.py index 83435af0a2..8e0758a020 100644 --- a/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2009_200gev.py +++ b/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2009_200gev.py @@ -88,9 +88,15 @@ def read_1jet_data(): def read_2jet_data(topology): - fname = ( - f"../../new_commondata/STAR_{YEAR}_2JET_{topology}_200GEV/rawdata/Table.yaml" - ) + + if "S" in topology: + fname = ( + f"../../new_commondata/STAR_{YEAR}_2JET_MIDRAP_200GEV/rawdata/Table_{topology}.yaml" + ) + else: + fname = ( + f"../../new_commondata/STAR_{YEAR}_2JET_200GEV/rawdata/Table_{topology}.yaml" + ) df = pd.DataFrame() with open(fname, "r", encoding="utf-8") as file: data = yaml.safe_load(file) @@ -201,10 +207,18 @@ def write_1jet_data(df, art_sys): def write_2jet_data(df, topology, art_sys): - STORE_PATH = f"../../new_commondata/STAR_{YEAR}_2JET_{topology}_200GEV/" + STORE_PATH = f"../../new_commondata/STAR_{YEAR}_2JET_200GEV/" + if "S" in topo: + STORE_PATH = ( + f"../../new_commondata/STAR_{YEAR}_2JET_MIDRAP_200GEV/" + ) + else: + STORE_PATH = ( + f"../../new_commondata/STAR_{YEAR}_2JET_200GEV/" + ) # Write central data data_central_yaml = {"data_central": list(df["ALL"])} - with open(STORE_PATH + "data.yaml", "w", encoding="utf-8") as file: + with open(STORE_PATH + f"data_{topology}.yaml", "w", encoding="utf-8") as file: yaml.dump(data_central_yaml, file) # Write kin file @@ -226,7 +240,7 @@ def write_2jet_data(df, topology, art_sys): } kin.append(kin_value) kinematics_yaml = {"bins": kin} - with open(STORE_PATH + "kinematics.yaml", "w", encoding="utf-8") as file: + with open(STORE_PATH + f"kinematics_{topology}.yaml", "w", encoding="utf-8") as file: yaml.dump(kinematics_yaml, file) # Write unc file @@ -264,7 +278,7 @@ def write_2jet_data(df, topology, art_sys): ) uncertainties_yaml = {"definitions": error_definition, "bins": error} - with open(STORE_PATH + "uncertainties.yaml", "w", encoding="utf-8") as file: + with open(STORE_PATH + f"uncertainties_{topology}.yaml", "w", encoding="utf-8") as file: yaml.dump(uncertainties_yaml, file, sort_keys=False) diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/metadata.yaml index f5197d9ddd..af8244f0c2 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/metadata.yaml @@ -4,6 +4,8 @@ nnpdf_metadata: experiment: "STAR" nnpdf31_process: "JETS" +arXiv: + url: https://arxiv.org/abs/1405.5134 iNSPIRE: url: "https://inspirehep.net/literature/1297229" hepdata: diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/data.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/data_A.yaml similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/data.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/data_A.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/data.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/data_B.yaml similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/data.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/data_B.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/data.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/data_C.yaml similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/data.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/data_C.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/kinematics.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/kinematics_A.yaml similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/kinematics.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/kinematics_A.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/kinematics.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/kinematics_B.yaml similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/kinematics.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/kinematics_B.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/kinematics.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/kinematics_C.yaml similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/kinematics.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/kinematics_C.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/metadata.yaml new file mode 100644 index 0000000000..74a50745a1 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/metadata.yaml @@ -0,0 +1,117 @@ +setname: "STAR_2009_2JET_200GEV" + +nnpdf_metadata: + experiment: "STAR" + nnpdf31_process: "DIJET" + +arXiv: + url: https://arxiv.org/abs/1805.09742 +iNSPIRE: + url: "https://inspirehep.net/literature/1674714" +hepdata: + url: "https://www.hepdata.net/record/ins1674714" + version: 1 + +version: 1 +version_comment: "Initial implementation" + +implemented_observables: + - observable: + { + description: "ALL as function of $M_{inv}$, topology A", + label: "$A_{LL}$", + units: "", + } + observable_name: A-ALL + process_type: DIJET_POL + ndata: 5 + tables: [9] + kinematics: + variables: + m_jj: { description: "dijet mass", label: "$m_{jj}$", units: "GeV" } + sqrts: + { + description: "center of mass energy", + label: r"$\sqrt(s)$", + units: "GeV", + } + file: kinematics_A.yaml + kinematic_coverage: [m_jj, sqrts] + data_central: data_A.yaml + data_uncertainties: + - uncertainties_A.yaml + plotting: + dataset_label: "STAR 200 GeV (2009) DIJET $A_{LL}$, topology A" + kinematics_override: identity + plot_x: m_jj + x_scale: log + y_label: "$A_{LL}$" + theory: + FK_tables: + - - STAR_2009_2JET_200GEV_A_ALL + - observable: + { + description: "ALL as function of $M_{inv}$, topology B", + label: "$A_{LL}$", + units: "", + } + observable_name: B-ALL + process_type: DIJET_POL + ndata: 7 + tables: [9] + kinematics: + variables: + m_jj: { description: "dijet mass", label: "$m_{jj}$", units: "GeV" } + sqrts: + { + description: "center of mass energy", + label: r"$\sqrt(s)$", + units: "GeV", + } + file: kinematics_B.yaml + kinematic_coverage: [m_jj, sqrts] + data_central: data_B.yaml + data_uncertainties: + - uncertainties_B.yaml + plotting: + dataset_label: "STAR 200 GeV (2009) DIJET $A_{LL}$, topology B" + kinematics_override: identity + plot_x: m_jj + x_scale: log + y_label: "$A_{LL}$" + theory: + FK_tables: + - - STAR_2009_2JET_200GEV_B_ALL + - observable: + { + description: "ALL as function of $M_{inv}$, topology C", + label: "$A_{LL}$", + units: "", + } + observable_name: C-ALL + process_type: DIJET_POL + ndata: 7 + tables: [9] + kinematics: + variables: + m_jj: { description: "dijet mass", label: "$m_{jj}$", units: "GeV" } + sqrts: + { + description: "center of mass energy", + label: r"$\sqrt(s)$", + units: "GeV", + } + file: kinematics_C.yaml + kinematic_coverage: [m_jj, sqrts] + data_central: data_C.yaml + data_uncertainties: + - uncertainties_C.yaml + plotting: + dataset_label: "STAR 200 GeV (2009) DIJET $A_{LL}$, topology C" + kinematics_override: identity + plot_x: m_jj + x_scale: log + y_label: "$A_{LL}$" + theory: + FK_tables: + - - STAR_2009_2JET_200GEV_C_ALL \ No newline at end of file diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/rawdata/Table.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/rawdata/Table_A.yaml similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/rawdata/Table.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/rawdata/Table_A.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/rawdata/Table.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/rawdata/Table_B.yaml similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/rawdata/Table.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/rawdata/Table_B.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/rawdata/Table.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/rawdata/Table_C.yaml similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/rawdata/Table.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/rawdata/Table_C.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/uncertainties_A.yaml similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/uncertainties.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/uncertainties_A.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/uncertainties_B.yaml similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/uncertainties.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/uncertainties_B.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/uncertainties_C.yaml similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/uncertainties.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/uncertainties_C.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/metadata.yaml deleted file mode 100644 index 469110bc80..0000000000 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_A_200GEV/metadata.yaml +++ /dev/null @@ -1,49 +0,0 @@ -setname: "STAR_2009_2JET_A_200GEV" - -nnpdf_metadata: - experiment: "STAR" - nnpdf31_process: "DIJET" - -iNSPIRE: - url: "https://inspirehep.net/literature/1674714" -hepdata: - url: "https://www.hepdata.net/record/ins1674714" - version: 1 - -version: 1 -version_comment: "Initial implementation" - -implemented_observables: - - observable: - { - description: "ALL as function of $M_{inv}$, topology A", - label: "$A_{LL}$", - units: "", - } - observable_name: ALL - process_type: DIJET_POL - ndata: 5 - tables: [9] - kinematics: - variables: - m_jj: { description: "dijet mass", label: "$m_{jj}$", units: "GeV" } - sqrts: - { - description: "center of mass energy", - label: r"$\sqrt(s)$", - units: "GeV", - } - file: kinematics.yaml - kinematic_coverage: [m_jj, sqrts] - data_central: data.yaml - data_uncertainties: - - uncertainties.yaml - plotting: - dataset_label: "STAR 200 GeV (2009) DIJET $A_{LL}$, topology A" - kinematics_override: identity - plot_x: m_jj - x_scale: log - y_label: "$A_{LL}$" - theory: - FK_tables: - - - STAR_2009_2JET_A_200GEV_ALL diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/metadata.yaml deleted file mode 100644 index 97bdff2589..0000000000 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_B_200GEV/metadata.yaml +++ /dev/null @@ -1,49 +0,0 @@ -setname: "STAR_2009_2JET_B_200GEV" - -nnpdf_metadata: - experiment: "STAR" - nnpdf31_process: "DIJET" - -iNSPIRE: - url: "https://inspirehep.net/literature/1674714" -hepdata: - url: "https://www.hepdata.net/record/ins1674714" - version: 1 - -version: 1 -version_comment: "Initial implementation" - -implemented_observables: - - observable: - { - description: "ALL as function of $M_{inv}$, topology B", - label: "$A_{LL}$", - units: "", - } - observable_name: ALL - process_type: DIJET_POL - ndata: 7 - tables: [9] - kinematics: - variables: - m_jj: { description: "dijet mass", label: "$m_{jj}$", units: "GeV" } - sqrts: - { - description: "center of mass energy", - label: r"$\sqrt(s)$", - units: "GeV", - } - file: kinematics.yaml - kinematic_coverage: [m_jj, sqrts] - data_central: data.yaml - data_uncertainties: - - uncertainties.yaml - plotting: - dataset_label: "STAR 200 GeV (2009) DIJET $A_{LL}$, topology B" - kinematics_override: identity - plot_x: m_jj - x_scale: log - y_label: "$A_{LL}$" - theory: - FK_tables: - - - STAR_2009_2JET_B_200GEV_ALL diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/metadata.yaml deleted file mode 100644 index 86feaca0a6..0000000000 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_C_200GEV/metadata.yaml +++ /dev/null @@ -1,49 +0,0 @@ -setname: "STAR_2009_2JET_C_200GEV" - -nnpdf_metadata: - experiment: "STAR" - nnpdf31_process: "DIJET" - -iNSPIRE: - url: "https://inspirehep.net/literature/1674714" -hepdata: - url: "https://www.hepdata.net/record/ins1674714" - version: 1 - -version: 1 -version_comment: "Initial implementation" - -implemented_observables: - - observable: - { - description: "ALL as function of $M_{inv}$, topology C", - label: "$A_{LL}$", - units: "", - } - observable_name: ALL - process_type: DIJET_POL - ndata: 7 - tables: [9] - kinematics: - variables: - m_jj: { description: "dijet mass", label: "$m_{jj}$", units: "GeV" } - sqrts: - { - description: "center of mass energy", - label: r"$\sqrt(s)$", - units: "GeV", - } - file: kinematics.yaml - kinematic_coverage: [m_jj, sqrts] - data_central: data.yaml - data_uncertainties: - - uncertainties.yaml - plotting: - dataset_label: "STAR 200 GeV (2009) DIJET $A_{LL}$, topology C" - kinematics_override: identity - plot_x: m_jj - x_scale: log - y_label: "$A_{LL}$" - theory: - FK_tables: - - - STAR_2009_2JET_C_200GEV_ALL diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_OS_200GEV/data.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/data_OS.yaml similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_OS_200GEV/data.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/data_OS.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_SS_200GEV/data.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/data_SS.yaml similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_SS_200GEV/data.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/data_SS.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_OS_200GEV/kinematics.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/kinematics_OS.yaml similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_OS_200GEV/kinematics.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/kinematics_OS.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_SS_200GEV/kinematics.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/kinematics_SS.yaml similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_SS_200GEV/kinematics.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/kinematics_SS.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/metadata.yaml new file mode 100644 index 0000000000..2393f73207 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/metadata.yaml @@ -0,0 +1,84 @@ +setname: "STAR_2009_2JET_MIDRAP_200GEV" + +nnpdf_metadata: + experiment: "STAR" + nnpdf31_process: "DIJET" + +arXiv: + url: https://arxiv.org/pdf/1610.06616 +iNSPIRE: + url: "https://inspirehep.net/literature/1493842" +hepdata: + url: "https://www.hepdata.net/record/ins1493842" + version: 1 + +version: 1 +version_comment: "Initial implementation" + +implemented_observables: + - observable: + { + description: "ALL as function of $M_{inv}$, OS", + label: "$A_{LL}$", + units: "", + } + observable_name: OS-ALL + process_type: DIJET_POL + ndata: 7 + tables: [9] + kinematics: + variables: + m_jj: { description: "dijet mass", label: "$m_{jj}$", units: "GeV" } + sqrts: + { + description: "center of mass energy", + label: r"$\sqrt(s)$", + units: "GeV", + } + file: kinematics_OS.yaml + kinematic_coverage: [m_jj, sqrts] + data_central: data_OS.yaml + data_uncertainties: + - uncertainties_OS.yaml + plotting: + dataset_label: "STAR 200 GeV (2009) DIJET $A_{LL}$, OS" + kinematics_override: identity + plot_x: m_jj + x_scale: log + y_label: "$A_{LL}$" + theory: + FK_tables: + - - STAR_2009_2JET_MIDRAP_200GEV_OS_ALL + - observable: + { + description: "ALL as function of $M_{inv}$, SS", + label: "$A_{LL}$", + units: "", + } + observable_name: SS-ALL + process_type: DIJET_POL + ndata: 7 + tables: [7] + kinematics: + variables: + m_jj: { description: "dijet mass", label: "$m_{jj}$", units: "GeV" } + sqrts: + { + description: "center of mass energy", + label: r"$\sqrt(s)$", + units: "GeV", + } + file: kinematics_SS.yaml + kinematic_coverage: [m_jj, sqrts] + data_central: data_SS.yaml + data_uncertainties: + - uncertainties_SS.yaml + plotting: + dataset_label: "STAR 200 GeV (2009) DIJET $A_{LL}$, SS" + kinematics_override: identity + plot_x: m_jj + x_scale: log + y_label: "$A_{LL}$" + theory: + FK_tables: + - - STAR_2009_2JET_MIDRAP_200GEV_SS_ALL diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_OS_200GEV/rawdata/Table.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/rawdata/Table_OS.yaml similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_OS_200GEV/rawdata/Table.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/rawdata/Table_OS.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_SS_200GEV/rawdata/Table.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/rawdata/Table_SS.yaml similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_SS_200GEV/rawdata/Table.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/rawdata/Table_SS.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_OS_200GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/uncertainties_OS.yaml similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_OS_200GEV/uncertainties.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/uncertainties_OS.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_SS_200GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/uncertainties_SS.yaml similarity index 100% rename from nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_SS_200GEV/uncertainties.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/uncertainties_SS.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_OS_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_OS_200GEV/metadata.yaml deleted file mode 100644 index 82bca00604..0000000000 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_OS_200GEV/metadata.yaml +++ /dev/null @@ -1,49 +0,0 @@ -setname: "STAR_2009_2JET_OS_200GEV" - -nnpdf_metadata: - experiment: "STAR" - nnpdf31_process: "DIJET" - -iNSPIRE: - url: "https://inspirehep.net/literature/1493842" -hepdata: - url: "https://www.hepdata.net/record/ins1493842" - version: 1 - -version: 1 -version_comment: "Initial implementation" - -implemented_observables: - - observable: - { - description: "ALL as function of $M_{inv}$, OS", - label: "$A_{LL}$", - units: "", - } - observable_name: ALL - process_type: DIJET_POL - ndata: 7 - tables: [9] - kinematics: - variables: - m_jj: { description: "dijet mass", label: "$m_{jj}$", units: "GeV" } - sqrts: - { - description: "center of mass energy", - label: r"$\sqrt(s)$", - units: "GeV", - } - file: kinematics.yaml - kinematic_coverage: [m_jj, sqrts] - data_central: data.yaml - data_uncertainties: - - uncertainties.yaml - plotting: - dataset_label: "STAR 200 GeV (2009) DIJET $A_{LL}$, OS" - kinematics_override: identity - plot_x: m_jj - x_scale: log - y_label: "$A_{LL}$" - theory: - FK_tables: - - - STAR_2009_2JET_OS_200GEV_ALL diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_SS_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_SS_200GEV/metadata.yaml deleted file mode 100644 index 661703181b..0000000000 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_SS_200GEV/metadata.yaml +++ /dev/null @@ -1,49 +0,0 @@ -setname: "STAR_2009_2JET_SS_200GEV" - -nnpdf_metadata: - experiment: "STAR" - nnpdf31_process: "DIJET" - -iNSPIRE: - url: "https://inspirehep.net/literature/1493842" -hepdata: - url: "https://www.hepdata.net/record/ins1493842" - version: 1 - -version: 1 -version_comment: "Initial implementation" - -implemented_observables: - - observable: - { - description: "ALL as function of $M_{inv}$, SS", - label: "$A_{LL}$", - units: "", - } - observable_name: ALL - process_type: DIJET_POL - ndata: 7 - tables: [7] - kinematics: - variables: - m_jj: { description: "dijet mass", label: "$m_{jj}$", units: "GeV" } - sqrts: - { - description: "center of mass energy", - label: r"$\sqrt(s)$", - units: "GeV", - } - file: kinematics.yaml - kinematic_coverage: [m_jj, sqrts] - data_central: data.yaml - data_uncertainties: - - uncertainties.yaml - plotting: - dataset_label: "STAR 200 GeV (2009) DIJET $A_{LL}$, SS" - kinematics_override: identity - plot_x: m_jj - x_scale: log - y_label: "$A_{LL}$" - theory: - FK_tables: - - - STAR_2009_2JET_SS_200GEV_ALL From 023a95faa120924a4d0e7783ddcdc250a6093325 Mon Sep 17 00:00:00 2001 From: giacomomagni Date: Fri, 17 May 2024 14:43:06 +0200 Subject: [PATCH 50/70] fix lumi unc and stat in 2009 dijets --- .../star/jet_dijet_2009_200gev.py | 74 +- .../STAR_2009_1JET_200GEV/uncertainties.yaml | 2446 +++++++++-------- .../uncertainties_A.yaml | 688 ++--- .../uncertainties_B.yaml | 916 +++--- .../uncertainties_C.yaml | 916 +++--- .../uncertainties_OS.yaml | 916 +++--- .../uncertainties_SS.yaml | 916 +++--- 7 files changed, 3451 insertions(+), 3421 deletions(-) diff --git a/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2009_200gev.py b/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2009_200gev.py index 8e0758a020..cfdc7bf334 100644 --- a/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2009_200gev.py +++ b/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2009_200gev.py @@ -58,7 +58,7 @@ def read_1jet_data(): df4["sys_max"] = dfi["sys +"] df4["abs_eta_min"] = 0.5 - df4["abs_eta_max"] = 1.0 + df4["abs_eta_max"] = 1.0 elif "5" in fname: dfc_col = pd.read_csv(fname) @@ -82,21 +82,17 @@ def read_1jet_data(): df["stat"] = df["stat_max"] df["sys"] = df["sys_max"] df["pol"] = POL_UNC * abs(df["ALL"]) + df["lumi"] = LUMI_UNC df["sqrts"] = 200 df["abs_eta"] = (df["abs_eta_min"] + df["abs_eta_max"]) / 2 return df, dfc def read_2jet_data(topology): - if "S" in topology: - fname = ( - f"../../new_commondata/STAR_{YEAR}_2JET_MIDRAP_200GEV/rawdata/Table_{topology}.yaml" - ) + fname = f"../../new_commondata/STAR_{YEAR}_2JET_MIDRAP_200GEV/rawdata/Table_{topology}.yaml" else: - fname = ( - f"../../new_commondata/STAR_{YEAR}_2JET_200GEV/rawdata/Table_{topology}.yaml" - ) + fname = f"../../new_commondata/STAR_{YEAR}_2JET_200GEV/rawdata/Table_{topology}.yaml" df = pd.DataFrame() with open(fname, "r", encoding="utf-8") as file: data = yaml.safe_load(file) @@ -143,8 +139,8 @@ def read_2jet_data(topology): ) df["pol"] = POL_UNC * abs(df["ALL"]) + df["lumi"] = LUMI_UNC df["sqrts"] = 200 - return df @@ -180,11 +176,16 @@ def write_1jet_data(df, art_sys): "description": "beam polarization uncertainty", "treatment": "MULT", "type": f"STAR{YEAR}POL", - } + }, + "lumi": { + "description": "luminosity uncertainty", + "treatment": "ADD", + "type": f"STAR{YEAR}LUMI", + }, } # loop on data points for i, sys_i in enumerate(art_sys): - e = {"pol": float(df.loc[i, "pol"])} + e = {"pol": float(df.loc[i, "pol"]), "lumi": float(df.loc[i, "lumi"])} # loop on art sys for j, val in enumerate(sys_i): e[f"sys_{j}"] = val @@ -208,14 +209,10 @@ def write_1jet_data(df, art_sys): def write_2jet_data(df, topology, art_sys): STORE_PATH = f"../../new_commondata/STAR_{YEAR}_2JET_200GEV/" - if "S" in topo: - STORE_PATH = ( - f"../../new_commondata/STAR_{YEAR}_2JET_MIDRAP_200GEV/" - ) + if "S" in topology: + STORE_PATH = f"../../new_commondata/STAR_{YEAR}_2JET_MIDRAP_200GEV/" else: - STORE_PATH = ( - f"../../new_commondata/STAR_{YEAR}_2JET_200GEV/" - ) + STORE_PATH = f"../../new_commondata/STAR_{YEAR}_2JET_200GEV/" # Write central data data_central_yaml = {"data_central": list(df["ALL"])} with open(STORE_PATH + f"data_{topology}.yaml", "w", encoding="utf-8") as file: @@ -240,26 +237,31 @@ def write_2jet_data(df, topology, art_sys): } kin.append(kin_value) kinematics_yaml = {"bins": kin} - with open(STORE_PATH + f"kinematics_{topology}.yaml", "w", encoding="utf-8") as file: + with open( + STORE_PATH + f"kinematics_{topology}.yaml", "w", encoding="utf-8" + ) as file: yaml.dump(kinematics_yaml, file) # Write unc file error = [] error_definition = { - "stat": { - "description": "statistical uncertainty", - "treatment": "ADD", - "type": "UNCORR", - }, "pol": { "description": "beam polarization uncertainty", "treatment": "MULT", "type": f"STAR{YEAR}POL", }, + "lumi": { + "description": "luminosity uncertainty", + "treatment": "ADD", + "type": f"STAR{YEAR}LUMI", + }, } # loop on data points for i, sys_i in enumerate(art_sys): - e = {"stat": float(df.loc[i, "stat"]), "pol": float(df.loc[i, "pol"])} + e = { + "pol": float(df.loc[i, "pol"]), + "lumi": float(df.loc[i, "lumi"]), + } # loop on art sys for j, val in enumerate(sys_i): e[f"sys_{j}"] = val @@ -269,7 +271,7 @@ def write_2jet_data(df, topology, art_sys): error_definition.update( { f"sys_{j}": { - "description": f"{j} artificial correlated systematics uncertainty", + "description": f"{j} artificial correlated statistical + systematics uncertainty", "treatment": "ADD", "type": f"STAR{YEAR}JETunc{j}", } @@ -278,7 +280,9 @@ def write_2jet_data(df, topology, art_sys): ) uncertainties_yaml = {"definitions": error_definition, "bins": error} - with open(STORE_PATH + f"uncertainties_{topology}.yaml", "w", encoding="utf-8") as file: + with open( + STORE_PATH + f"uncertainties_{topology}.yaml", "w", encoding="utf-8" + ) as file: yaml.dump(uncertainties_yaml, file, sort_keys=False) @@ -295,14 +299,14 @@ def write_2jet_data(df, topology, art_sys): f"../../new_commondata/STAR_{YEAR}_1JET_200GEV/rawdata/correlation.csv", index_col=0, ) - # from the paper we understand that stat dijet is not correlated - # I-I (stat + sys) | I-D (stat + sys) - # D-I (stat + sys) | D-D (sys) - correlated_unc = np.sqrt( - dfs["I"]["sys"] ** 2 + dfs["I"]["stat"] ** 2 - ).values.tolist() - for a in TOPOPLOGY_LIST[1:]: - correlated_unc.extend(dfs[a]["sys"].values) + # from the supplement material: + # https://journals.aps.org/prd/supplemental/10.1103/PhysRevD.98.032011/Supplementalmaterial.pdf + # we understand that stat jet and dijet are correlated + correlated_unc = [] + for a in TOPOPLOGY_LIST: + correlated_unc.extend( + np.sqrt(dfs[a]["sys"] ** 2 + dfs[a]["stat"] ** 2).values.tolist() + ) ndata_points = np.sum((*ndata_dict.values(),)) # decompose uncertainties art_sys = np.array(compute_covmat(correlation_df, correlated_unc, ndata_points)) diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/uncertainties.yaml index 3011139c8b..91ce9eae20 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/uncertainties.yaml @@ -3,6 +3,10 @@ definitions: description: beam polarization uncertainty treatment: MULT type: STAR2009POL + lumi: + description: luminosity uncertainty + treatment: ADD + type: STAR2009LUMI sys_0: description: 0 artificial correlated statistical + systematics uncertainty treatment: ADD @@ -225,1234 +229,1256 @@ definitions: type: STAR2009JETunc54 bins: - pol: 0.00013000000000000002 - sys_0: -1.6815813095975663e-06 - sys_1: 3.135895236785411e-06 - sys_2: 3.0444062961120985e-06 - sys_3: 2.67041059814949e-06 - sys_4: -1.6254026811200712e-06 - sys_5: 4.518820864785692e-06 - sys_6: 3.4796028046599582e-06 - sys_7: -6.770314862767248e-07 - sys_8: -7.598472063589526e-07 - sys_9: -5.965911597211238e-07 - sys_10: 7.87606174724339e-06 - sys_11: -1.8697433978741537e-06 - sys_12: -8.558025850948974e-06 - sys_13: -5.488223477960642e-06 - sys_14: 7.659506917173365e-06 - sys_15: -1.5072213137030027e-06 - sys_16: 2.896566343178069e-06 - sys_17: 6.088365414884578e-06 - sys_18: -1.178950652163968e-05 - sys_19: 1.4150746356270292e-05 - sys_20: -1.8718606896711806e-05 - sys_21: -1.2531001123041228e-05 - sys_22: 2.299601733348714e-06 - sys_23: -3.4331170078360284e-05 - 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0.008003515837841282 + sys_5: -3.813740102301659e-05 + sys_6: 0.0016701056177554957 + sys_7: -0.00040765834137889074 + sys_8: -1.7737129262864104e-06 + sys_9: 2.0394080809534508e-05 + sys_10: 6.787560104914701e-06 + sys_11: 0.0001641059785509825 + sys_12: 4.708863366410807e-05 + sys_13: 6.224118370277068e-05 + sys_14: 3.08313575523923e-05 + sys_15: 1.8950480174166717e-06 + sys_16: -6.133377871660353e-08 + sys_17: 7.329579428766248e-06 + sys_18: -2.5443810548522317e-05 + sys_19: 9.118589876708405e-06 + sys_20: 4.2020390144850865e-06 + sys_21: 1.359261726746838e-06 + sys_22: 6.758100137681983e-07 + sys_23: -4.793114976627494e-06 + sys_24: -2.54766859105655e-06 + sys_25: -1.5271941226344646e-06 + sys_26: 1.0671919342521099e-08 + sys_27: -7.685967437978598e-06 + sys_28: 9.222131903998067e-06 + sys_29: 2.0422148006293946e-05 + sys_30: -1.3027245771655229e-05 + sys_31: -2.598688762849034e-06 + sys_32: 3.5439631001725985e-06 + sys_33: 2.1177186337386202e-05 + sys_34: -6.166277657691816e-06 + sys_35: 1.0765348093199076e-06 + sys_36: 1.3504894489862046e-06 + sys_37: 1.286873073837209e-07 + sys_38: 4.939571900975254e-07 + sys_39: 1.3572335039632471e-06 + sys_40: -4.508836659606546e-08 + sys_41: 1.4209188941054532e-07 + sys_42: 9.782771840926777e-08 + sys_43: 1.297144033846644e-07 + sys_44: 1.551932706389958e-07 + sys_45: -4.5351409065237435e-07 + sys_46: 2.3119338958952692e-07 + sys_47: 3.2643631158624316e-07 + sys_48: -1.0783881035789849e-07 + sys_49: 1.1462039465248088e-07 + sys_50: 2.5871992270863685e-08 + sys_51: 2.1207512424022603e-07 + sys_52: 1.7347859435983505e-07 + sys_53: -1.3260584191249427e-07 + sys_54: 2.1561410876753635e-08 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/uncertainties_A.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/uncertainties_A.yaml index 3014e4ff94..b06ec55b25 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/uncertainties_A.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/uncertainties_A.yaml @@ -1,515 +1,515 @@ definitions: - stat: - description: statistical uncertainty - treatment: ADD - type: UNCORR pol: description: beam polarization uncertainty treatment: MULT type: STAR2009POL + lumi: + description: luminosity uncertainty + treatment: ADD + type: STAR2009LUMI sys_0: - description: 0 artificial correlated systematics uncertainty + description: 0 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc0 sys_1: - description: 1 artificial correlated systematics uncertainty + description: 1 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc1 sys_2: - description: 2 artificial correlated systematics uncertainty + description: 2 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc2 sys_3: - description: 3 artificial correlated systematics uncertainty + description: 3 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc3 sys_4: - description: 4 artificial correlated systematics uncertainty + description: 4 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc4 sys_5: - description: 5 artificial correlated systematics uncertainty + description: 5 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc5 sys_6: - description: 6 artificial correlated systematics uncertainty + description: 6 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc6 sys_7: - description: 7 artificial correlated systematics uncertainty + description: 7 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc7 sys_8: - description: 8 artificial correlated systematics uncertainty + description: 8 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc8 sys_9: - description: 9 artificial correlated systematics uncertainty + description: 9 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc9 sys_10: - description: 10 artificial correlated systematics uncertainty + description: 10 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc10 sys_11: - description: 11 artificial correlated systematics uncertainty + description: 11 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc11 sys_12: - description: 12 artificial correlated systematics uncertainty + description: 12 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc12 sys_13: - description: 13 artificial correlated systematics uncertainty + description: 13 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc13 sys_14: - description: 14 artificial correlated systematics uncertainty + description: 14 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc14 sys_15: - description: 15 artificial correlated systematics uncertainty + description: 15 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc15 sys_16: - description: 16 artificial correlated systematics uncertainty + description: 16 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc16 sys_17: - description: 17 artificial correlated systematics uncertainty + description: 17 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc17 sys_18: - description: 18 artificial correlated systematics uncertainty + description: 18 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc18 sys_19: - description: 19 artificial correlated systematics uncertainty + description: 19 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc19 sys_20: - description: 20 artificial correlated systematics uncertainty + description: 20 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc20 sys_21: - description: 21 artificial correlated systematics uncertainty + description: 21 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc21 sys_22: - description: 22 artificial correlated systematics uncertainty + description: 22 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc22 sys_23: - description: 23 artificial correlated systematics uncertainty + description: 23 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc23 sys_24: - description: 24 artificial correlated systematics uncertainty + description: 24 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc24 sys_25: - description: 25 artificial correlated systematics uncertainty + description: 25 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc25 sys_26: - description: 26 artificial correlated systematics uncertainty + description: 26 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc26 sys_27: - description: 27 artificial correlated systematics uncertainty + description: 27 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc27 sys_28: - description: 28 artificial correlated systematics uncertainty + description: 28 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc28 sys_29: - description: 29 artificial correlated systematics uncertainty + description: 29 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc29 sys_30: - description: 30 artificial correlated systematics uncertainty + description: 30 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc30 sys_31: - description: 31 artificial correlated systematics uncertainty + description: 31 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc31 sys_32: - description: 32 artificial correlated systematics uncertainty + description: 32 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc32 sys_33: - description: 33 artificial correlated systematics uncertainty + description: 33 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc33 sys_34: - description: 34 artificial correlated systematics uncertainty + description: 34 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc34 sys_35: - description: 35 artificial correlated systematics uncertainty + description: 35 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc35 sys_36: - description: 36 artificial correlated systematics uncertainty + description: 36 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc36 sys_37: - description: 37 artificial correlated systematics uncertainty + description: 37 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc37 sys_38: - description: 38 artificial correlated systematics uncertainty + description: 38 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc38 sys_39: - description: 39 artificial correlated systematics uncertainty + description: 39 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc39 sys_40: - description: 40 artificial correlated systematics uncertainty + description: 40 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc40 sys_41: - description: 41 artificial correlated systematics uncertainty + description: 41 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc41 sys_42: - description: 42 artificial correlated systematics uncertainty + description: 42 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc42 sys_43: - description: 43 artificial correlated systematics uncertainty + description: 43 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc43 sys_44: - description: 44 artificial correlated systematics uncertainty + description: 44 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc44 sys_45: - description: 45 artificial correlated systematics uncertainty + description: 45 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc45 sys_46: - description: 46 artificial correlated systematics uncertainty + description: 46 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc46 sys_47: - description: 47 artificial correlated systematics uncertainty + description: 47 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc47 sys_48: - description: 48 artificial correlated systematics uncertainty + description: 48 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc48 sys_49: - description: 49 artificial correlated systematics uncertainty + description: 49 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc49 sys_50: - description: 50 artificial correlated systematics uncertainty + description: 50 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc50 sys_51: - description: 51 artificial correlated systematics uncertainty + description: 51 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc51 sys_52: - description: 52 artificial correlated systematics uncertainty + description: 52 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc52 sys_53: - description: 53 artificial correlated systematics uncertainty + description: 53 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc53 sys_54: - description: 54 artificial correlated systematics uncertainty + description: 54 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc54 bins: -- stat: 0.007 - pol: 0.0001235 - sys_0: -2.9341441873981826e-09 - sys_1: 5.6627698149798896e-09 - sys_2: 3.947516340013661e-08 - sys_3: 3.474259906358662e-08 - sys_4: -4.1987083112102747e-07 - sys_5: 4.6980584967290275e-07 - sys_6: 1.6895587313557647e-05 - sys_7: 2.2729048660248698e-05 - sys_8: 6.306184493593761e-06 - sys_9: 1.2710948031307183e-05 - sys_10: -2.57899638435861e-06 - sys_11: -2.170842429971376e-05 - sys_12: 5.276451607974814e-06 - sys_13: 1.9633555980511846e-05 - sys_14: 8.248512495993356e-06 - sys_15: -6.10832079518566e-07 - sys_16: 6.738396792361433e-07 - sys_17: -1.1506201628609424e-06 - sys_18: -2.752584957306258e-05 - sys_19: -3.2068457330891736e-05 - sys_20: -2.191822723485393e-05 - sys_21: -3.961252810440841e-05 - sys_22: 2.993957309004265e-06 - sys_23: -0.00014620739269360464 - sys_24: 0.0018703911141647383 - sys_25: 0.0002804395272254612 - sys_26: 0.000590495383676678 - sys_27: 3.683796655049163e-07 - sys_28: 2.3643381983081909e-07 - sys_29: -6.260419510115389e-07 - sys_30: 3.92220302207209e-07 - sys_31: -6.980061994118511e-07 - sys_32: -1.9276759791270645e-07 - sys_33: -1.4767912281297904e-06 - sys_34: -1.4303979803965499e-06 - sys_35: 5.432689448439198e-05 - sys_36: -0.0001527159727080056 - sys_37: 2.96992805324897e-06 - sys_38: 2.869195099968407e-06 - sys_39: 8.290721744552978e-06 - sys_40: -2.905286493609521e-07 - sys_41: -1.9047781516055614e-07 - sys_42: -0.00010916211043763547 - sys_43: -7.52430826795878e-05 - sys_44: 1.922501705386345e-05 - sys_45: 1.2009576127941234e-05 - sys_46: 1.8296228631547555e-05 - sys_47: -1.0545480744849093e-05 - sys_48: 6.924840530438227e-06 - sys_49: -6.415829585145627e-06 - sys_50: -3.39030655499407e-05 - sys_51: 2.607895989261243e-05 - sys_52: -1.0756716695096613e-05 - sys_53: -1.3383755092384615e-05 - sys_54: -1.8477958927326992e-06 -- stat: 0.007 - pol: 0.0004485 - sys_0: -5.898643235004763e-09 - sys_1: 1.1973393935558007e-08 - sys_2: 7.779654506237548e-08 - sys_3: 7.416871876183287e-08 - sys_4: -7.985574948954471e-07 - sys_5: 9.350155690483878e-07 - sys_6: 3.1855141517542e-05 - sys_7: 4.3910811305523595e-05 - sys_8: 9.864730425257653e-06 - sys_9: 2.7112519417977034e-05 - sys_10: -4.224954247158868e-06 - sys_11: -4.474742097944539e-05 - sys_12: 6.98717747124241e-06 - sys_13: 4.262870493519771e-05 - sys_14: 1.9538926909869434e-05 - sys_15: -1.7506689751754383e-06 - sys_16: 3.850469490877143e-06 - sys_17: 2.513419449449712e-05 - sys_18: -0.00011999000608407366 - sys_19: -0.0001317462702124781 - sys_20: -0.0008051443009821056 - sys_21: -0.002237237451738831 - sys_22: -9.350734904345509e-06 - sys_23: 0.00014680858912354921 - sys_24: -9.36143726308781e-05 - sys_25: -5.654955275033271e-06 - sys_26: 0.00013631967248046623 - sys_27: 9.467749479898878e-07 - sys_28: 7.921583079714555e-07 - sys_29: -1.1110591131740783e-06 - sys_30: 1.2371872104216964e-06 - sys_31: -3.0239114691411025e-07 - sys_32: -1.373878251139743e-06 - sys_33: -1.2858544208020643e-06 - sys_34: -4.897360598797665e-07 - sys_35: 5.259043975081113e-06 - sys_36: -5.1873893082470386e-05 - sys_37: 2.918387010924369e-06 - sys_38: 3.5704731996250466e-06 - sys_39: 9.867568097502067e-06 - sys_40: 2.5135937324472164e-08 - sys_41: -5.675751880516184e-07 - sys_42: -8.457840841293302e-05 - sys_43: -4.879840148646681e-05 - sys_44: 1.7480122125644174e-05 - sys_45: -2.7370554644651988e-05 - sys_46: 7.146573644995449e-07 - sys_47: -2.2824695088527443e-05 - sys_48: -8.770124010879494e-06 - sys_49: -9.698356405592685e-07 - sys_50: -4.0495428931683924e-05 - sys_51: 2.971385717258693e-05 - sys_52: -1.0565804858799547e-05 - sys_53: -1.9343984302626992e-05 - sys_54: 3.515421208084455e-07 -- stat: 0.01 - pol: 0.001378 - sys_0: -6.415581388916738e-09 - sys_1: 1.4096428970422604e-08 - sys_2: 7.746596134557551e-08 - sys_3: 9.330344876517887e-08 - sys_4: -7.235587446499357e-07 - sys_5: 1.0158306104352345e-06 - sys_6: 2.7904732797661333e-05 - sys_7: 3.2540996472369066e-05 - sys_8: 6.523577870461007e-06 - sys_9: 1.961341752112625e-05 - sys_10: -2.8030025648971397e-06 - sys_11: -3.5213919724601684e-05 - sys_12: -4.298086439903232e-06 - sys_13: 2.303362529879535e-05 - sys_14: 1.6507080226418848e-05 - sys_15: -2.57161940873938e-06 - sys_16: 3.52641270335741e-06 - sys_17: 3.517019381160366e-05 - sys_18: -5.867542307177785e-05 - sys_19: 2.503269583660243e-06 - sys_20: -9.169035007412772e-05 - sys_21: -9.062621376866101e-06 - sys_22: -1.105517616458322e-06 - sys_23: -0.0001745942744378507 - sys_24: 6.197017917920129e-05 - sys_25: 2.3523246179592155e-05 - sys_26: -0.00015740595874289465 - sys_27: 1.7226999534726353e-06 - sys_28: 1.996456091095738e-07 - sys_29: -3.8638786991048935e-06 - sys_30: 3.910199249854271e-06 - sys_31: -2.3827251325496483e-06 - sys_32: -2.9933104267906685e-06 - sys_33: -2.846855830380724e-06 - sys_34: 4.925307867909713e-06 - sys_35: -2.4601182028749984e-05 - sys_36: 2.4487832629383495e-05 - sys_37: 2.943184830872442e-06 - sys_38: 1.0902669841415779e-05 - sys_39: 2.8154426116411082e-05 - sys_40: 8.71660470480899e-06 - sys_41: 1.3011292809823739e-05 - sys_42: 0.00038357821508055095 - sys_43: 0.000178357492192417 - sys_44: -0.00020537172042153873 - sys_45: 0.0005415425685794158 - sys_46: 0.0002153769320066239 - sys_47: -0.0007452497927747695 - sys_48: 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-1.0511367959263173e-07 + sys_51: 6.263765489983346e-07 + sys_52: -3.3364707588337093e-07 + sys_53: 3.210077607322483e-07 + sys_54: 2.6116808349928885e-08 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/uncertainties_B.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/uncertainties_B.yaml index 3a9c19699f..bfcea5c5f4 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/uncertainties_B.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/uncertainties_B.yaml @@ -1,629 +1,629 @@ definitions: - stat: - description: statistical uncertainty - treatment: ADD - type: UNCORR pol: description: beam polarization uncertainty treatment: MULT type: STAR2009POL + lumi: + description: luminosity uncertainty + treatment: ADD + type: STAR2009LUMI sys_0: - description: 0 artificial correlated systematics uncertainty + description: 0 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc0 sys_1: - description: 1 artificial correlated systematics uncertainty + description: 1 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc1 sys_2: - description: 2 artificial correlated systematics uncertainty + description: 2 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc2 sys_3: - description: 3 artificial correlated systematics uncertainty + description: 3 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc3 sys_4: - description: 4 artificial correlated systematics uncertainty + description: 4 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc4 sys_5: - description: 5 artificial correlated systematics uncertainty + description: 5 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc5 sys_6: - description: 6 artificial correlated systematics uncertainty + description: 6 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc6 sys_7: - description: 7 artificial correlated systematics uncertainty + description: 7 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc7 sys_8: - description: 8 artificial correlated systematics uncertainty + description: 8 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc8 sys_9: - description: 9 artificial correlated systematics uncertainty + description: 9 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc9 sys_10: - description: 10 artificial correlated systematics uncertainty + description: 10 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc10 sys_11: - description: 11 artificial correlated systematics uncertainty + description: 11 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc11 sys_12: - description: 12 artificial correlated systematics uncertainty + description: 12 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc12 sys_13: - description: 13 artificial correlated systematics uncertainty + description: 13 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc13 sys_14: - description: 14 artificial correlated systematics uncertainty + description: 14 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc14 sys_15: - description: 15 artificial correlated systematics uncertainty + description: 15 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc15 sys_16: - description: 16 artificial correlated systematics uncertainty + description: 16 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc16 sys_17: - description: 17 artificial correlated systematics uncertainty + description: 17 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc17 sys_18: - description: 18 artificial correlated systematics uncertainty + description: 18 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc18 sys_19: - description: 19 artificial correlated systematics uncertainty + description: 19 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc19 sys_20: - description: 20 artificial correlated systematics uncertainty + description: 20 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc20 sys_21: - description: 21 artificial correlated systematics uncertainty + description: 21 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc21 sys_22: - description: 22 artificial correlated systematics uncertainty + description: 22 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc22 sys_23: - description: 23 artificial correlated systematics uncertainty + description: 23 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc23 sys_24: - description: 24 artificial correlated systematics uncertainty + description: 24 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc24 sys_25: - description: 25 artificial correlated systematics uncertainty + description: 25 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc25 sys_26: - description: 26 artificial correlated systematics uncertainty + description: 26 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc26 sys_27: - description: 27 artificial correlated systematics uncertainty + description: 27 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc27 sys_28: - description: 28 artificial correlated systematics uncertainty + description: 28 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc28 sys_29: - description: 29 artificial correlated systematics uncertainty + description: 29 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc29 sys_30: - description: 30 artificial correlated systematics uncertainty + description: 30 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc30 sys_31: - description: 31 artificial correlated systematics uncertainty + description: 31 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc31 sys_32: - description: 32 artificial correlated systematics uncertainty + description: 32 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc32 sys_33: - description: 33 artificial correlated systematics uncertainty + description: 33 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc33 sys_34: - description: 34 artificial correlated systematics uncertainty + description: 34 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc34 sys_35: - description: 35 artificial correlated systematics uncertainty + description: 35 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc35 sys_36: - description: 36 artificial correlated systematics uncertainty + description: 36 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc36 sys_37: - description: 37 artificial correlated systematics uncertainty + description: 37 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc37 sys_38: - description: 38 artificial correlated systematics uncertainty + description: 38 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc38 sys_39: - description: 39 artificial correlated systematics uncertainty + description: 39 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc39 sys_40: - description: 40 artificial correlated systematics uncertainty + description: 40 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc40 sys_41: - description: 41 artificial correlated systematics uncertainty + description: 41 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc41 sys_42: - description: 42 artificial correlated systematics uncertainty + description: 42 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc42 sys_43: - description: 43 artificial correlated systematics uncertainty + description: 43 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc43 sys_44: - description: 44 artificial correlated systematics uncertainty + description: 44 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc44 sys_45: - description: 45 artificial correlated systematics uncertainty + description: 45 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc45 sys_46: - description: 46 artificial correlated systematics uncertainty + description: 46 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc46 sys_47: - description: 47 artificial correlated systematics uncertainty + description: 47 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc47 sys_48: - description: 48 artificial correlated systematics uncertainty + description: 48 artificial correlated statistical + systematics uncertainty 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a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/uncertainties_C.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/uncertainties_C.yaml index ce7cc0bb85..7988a2b781 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/uncertainties_C.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/uncertainties_C.yaml @@ -1,629 +1,629 @@ definitions: - stat: - description: statistical uncertainty - treatment: ADD - type: UNCORR pol: description: beam polarization uncertainty treatment: MULT type: STAR2009POL + lumi: + description: luminosity uncertainty + treatment: ADD + type: STAR2009LUMI sys_0: - description: 0 artificial correlated systematics uncertainty + description: 0 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc0 sys_1: - description: 1 artificial correlated systematics uncertainty + description: 1 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc1 sys_2: - description: 2 artificial correlated systematics uncertainty + description: 2 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc2 sys_3: - description: 3 artificial correlated systematics uncertainty + description: 3 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc3 sys_4: - description: 4 artificial correlated systematics uncertainty + description: 4 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc4 sys_5: - description: 5 artificial correlated systematics uncertainty + description: 5 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc5 sys_6: - description: 6 artificial correlated systematics uncertainty + description: 6 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc6 sys_7: - description: 7 artificial correlated systematics uncertainty + description: 7 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc7 sys_8: - description: 8 artificial correlated systematics uncertainty + description: 8 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc8 sys_9: - description: 9 artificial correlated systematics uncertainty + description: 9 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc9 sys_10: - description: 10 artificial correlated systematics uncertainty + description: 10 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc10 sys_11: - description: 11 artificial correlated systematics uncertainty + description: 11 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc11 sys_12: - description: 12 artificial correlated systematics uncertainty + description: 12 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc12 sys_13: - description: 13 artificial correlated systematics uncertainty + description: 13 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc13 sys_14: - description: 14 artificial correlated systematics uncertainty + description: 14 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc14 sys_15: - description: 15 artificial correlated systematics uncertainty + description: 15 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc15 sys_16: - description: 16 artificial correlated systematics uncertainty + description: 16 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc16 sys_17: - description: 17 artificial correlated systematics uncertainty + description: 17 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc17 sys_18: - description: 18 artificial correlated systematics uncertainty + description: 18 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc18 sys_19: - description: 19 artificial correlated systematics uncertainty + description: 19 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc19 sys_20: - description: 20 artificial correlated systematics uncertainty + description: 20 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc20 sys_21: - description: 21 artificial correlated systematics uncertainty + description: 21 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc21 sys_22: - description: 22 artificial correlated systematics uncertainty + description: 22 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc22 sys_23: - description: 23 artificial correlated systematics uncertainty + description: 23 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc23 sys_24: - description: 24 artificial correlated systematics uncertainty + description: 24 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc24 sys_25: - description: 25 artificial correlated systematics uncertainty + description: 25 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc25 sys_26: - description: 26 artificial correlated systematics uncertainty + description: 26 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc26 sys_27: - description: 27 artificial correlated systematics uncertainty + description: 27 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc27 sys_28: - description: 28 artificial correlated systematics uncertainty + description: 28 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc28 sys_29: - description: 29 artificial correlated systematics uncertainty + description: 29 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc29 sys_30: - description: 30 artificial correlated systematics uncertainty + description: 30 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc30 sys_31: - description: 31 artificial correlated systematics uncertainty + description: 31 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc31 sys_32: - description: 32 artificial correlated systematics uncertainty + description: 32 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc32 sys_33: - description: 33 artificial correlated systematics uncertainty + description: 33 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc33 sys_34: - description: 34 artificial correlated systematics uncertainty + description: 34 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc34 sys_35: - description: 35 artificial correlated systematics uncertainty + description: 35 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc35 sys_36: - description: 36 artificial correlated systematics uncertainty + description: 36 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc36 sys_37: - description: 37 artificial correlated systematics uncertainty + description: 37 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc37 sys_38: - description: 38 artificial correlated systematics uncertainty + description: 38 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc38 sys_39: - description: 39 artificial correlated systematics uncertainty + description: 39 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc39 sys_40: - description: 40 artificial correlated systematics uncertainty + description: 40 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc40 sys_41: - description: 41 artificial correlated systematics uncertainty + description: 41 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc41 sys_42: - description: 42 artificial correlated systematics uncertainty + description: 42 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc42 sys_43: - description: 43 artificial correlated systematics uncertainty + description: 43 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc43 sys_44: - description: 44 artificial correlated systematics uncertainty + description: 44 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc44 sys_45: - description: 45 artificial correlated systematics uncertainty + description: 45 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc45 sys_46: - description: 46 artificial correlated systematics uncertainty + description: 46 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc46 sys_47: - description: 47 artificial correlated systematics uncertainty + description: 47 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc47 sys_48: - description: 48 artificial correlated systematics uncertainty + description: 48 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc48 sys_49: - description: 49 artificial correlated systematics uncertainty + description: 49 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc49 sys_50: - description: 50 artificial correlated systematics uncertainty + description: 50 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc50 sys_51: - description: 51 artificial correlated systematics uncertainty + description: 51 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc51 sys_52: - description: 52 artificial correlated systematics uncertainty + description: 52 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc52 sys_53: - description: 53 artificial correlated systematics uncertainty + description: 53 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc53 sys_54: - description: 54 artificial correlated systematics uncertainty + description: 54 artificial correlated statistical + systematics uncertainty treatment: ADD type: 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+ sys_31: 3.724329362896258e-06 + sys_32: 3.1608320406361226e-06 + sys_33: 5.942568995031885e-07 + sys_34: 1.3922357665635735e-06 + sys_35: -1.3149467933973128e-06 + sys_36: -5.533469628165044e-07 + sys_37: 1.1717996590198879e-07 + sys_38: 6.28114122908241e-08 + sys_39: 4.1053579749333116e-08 + sys_40: -1.2821684120675743e-07 + sys_41: 7.385676250905749e-08 + sys_42: -6.259294180845676e-07 + sys_43: 1.7974643342319183e-07 + sys_44: -6.097475316098167e-08 + sys_45: 2.0875666393910094e-07 + sys_46: -5.889768121013157e-08 + sys_47: -2.0740468523778816e-07 + sys_48: 1.1489386555461357e-08 + sys_49: -6.189557619298634e-08 + sys_50: 5.489500182566103e-09 + sys_51: -1.1661781533954086e-07 + sys_52: -3.4806557457335935e-08 + sys_53: 4.721529918790479e-08 + sys_54: 2.4071563483724825e-08 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/uncertainties_OS.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/uncertainties_OS.yaml index c24405504c..93521c42a2 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/uncertainties_OS.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/uncertainties_OS.yaml @@ -1,629 +1,629 @@ definitions: - stat: - description: statistical uncertainty - treatment: ADD - type: UNCORR pol: description: beam polarization uncertainty treatment: MULT type: STAR2009POL + lumi: + description: luminosity uncertainty + treatment: ADD + type: STAR2009LUMI sys_0: - description: 0 artificial correlated systematics uncertainty + description: 0 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc0 sys_1: - description: 1 artificial correlated systematics uncertainty + description: 1 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc1 sys_2: - description: 2 artificial correlated systematics uncertainty + description: 2 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc2 sys_3: - description: 3 artificial correlated systematics uncertainty + description: 3 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc3 sys_4: - description: 4 artificial correlated systematics uncertainty + description: 4 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc4 sys_5: - description: 5 artificial correlated systematics uncertainty + description: 5 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc5 sys_6: - description: 6 artificial correlated systematics uncertainty + description: 6 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc6 sys_7: - description: 7 artificial correlated systematics uncertainty + description: 7 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc7 sys_8: - description: 8 artificial correlated systematics uncertainty + description: 8 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc8 sys_9: - description: 9 artificial correlated systematics uncertainty + description: 9 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc9 sys_10: - description: 10 artificial correlated systematics uncertainty + description: 10 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc10 sys_11: - description: 11 artificial correlated systematics uncertainty + description: 11 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc11 sys_12: - description: 12 artificial correlated systematics uncertainty + description: 12 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc12 sys_13: - description: 13 artificial correlated systematics uncertainty + description: 13 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc13 sys_14: - description: 14 artificial correlated systematics uncertainty + description: 14 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc14 sys_15: - description: 15 artificial correlated systematics uncertainty + description: 15 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc15 sys_16: - description: 16 artificial correlated systematics uncertainty + description: 16 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc16 sys_17: - description: 17 artificial correlated systematics uncertainty + description: 17 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc17 sys_18: - description: 18 artificial correlated systematics uncertainty + description: 18 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc18 sys_19: - description: 19 artificial correlated systematics uncertainty + description: 19 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc19 sys_20: - description: 20 artificial correlated systematics uncertainty + description: 20 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc20 sys_21: - description: 21 artificial correlated systematics uncertainty + description: 21 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc21 sys_22: - description: 22 artificial correlated systematics uncertainty + description: 22 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc22 sys_23: - description: 23 artificial correlated systematics uncertainty + description: 23 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc23 sys_24: - description: 24 artificial correlated systematics uncertainty + description: 24 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc24 sys_25: - description: 25 artificial correlated systematics uncertainty + description: 25 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc25 sys_26: - description: 26 artificial correlated systematics uncertainty + description: 26 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc26 sys_27: - description: 27 artificial correlated systematics uncertainty + description: 27 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc27 sys_28: - description: 28 artificial correlated systematics uncertainty + description: 28 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc28 sys_29: - description: 29 artificial correlated systematics uncertainty + description: 29 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc29 sys_30: - description: 30 artificial correlated systematics uncertainty + description: 30 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc30 sys_31: - description: 31 artificial correlated systematics uncertainty + description: 31 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc31 sys_32: - description: 32 artificial correlated systematics uncertainty + description: 32 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc32 sys_33: - description: 33 artificial correlated systematics uncertainty + description: 33 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc33 sys_34: - description: 34 artificial correlated systematics uncertainty + description: 34 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc34 sys_35: - description: 35 artificial correlated systematics uncertainty + description: 35 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc35 sys_36: - description: 36 artificial correlated systematics uncertainty + description: 36 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc36 sys_37: - description: 37 artificial correlated systematics uncertainty + description: 37 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc37 sys_38: - description: 38 artificial correlated systematics uncertainty + description: 38 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc38 sys_39: - description: 39 artificial correlated systematics uncertainty + description: 39 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc39 sys_40: - description: 40 artificial correlated systematics uncertainty + description: 40 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc40 sys_41: - description: 41 artificial correlated systematics uncertainty + description: 41 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc41 sys_42: - description: 42 artificial correlated systematics uncertainty + description: 42 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc42 sys_43: - description: 43 artificial correlated systematics uncertainty + description: 43 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc43 sys_44: - description: 44 artificial correlated systematics uncertainty + description: 44 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc44 sys_45: - description: 45 artificial correlated systematics uncertainty + description: 45 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc45 sys_46: - description: 46 artificial correlated systematics uncertainty + description: 46 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc46 sys_47: - description: 47 artificial correlated systematics uncertainty + description: 47 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc47 sys_48: - description: 48 artificial correlated systematics uncertainty + description: 48 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc48 sys_49: - description: 49 artificial correlated systematics uncertainty + description: 49 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc49 sys_50: - description: 50 artificial correlated systematics uncertainty + description: 50 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc50 sys_51: - description: 51 artificial correlated systematics uncertainty + description: 51 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc51 sys_52: - description: 52 artificial correlated systematics uncertainty + description: 52 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc52 sys_53: - description: 53 artificial correlated systematics uncertainty + description: 53 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc53 sys_54: - description: 54 artificial correlated systematics uncertainty + description: 54 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc54 bins: -- stat: 0.0039 - pol: 0.0003835 - sys_0: -2.490980784559569e-09 - sys_1: 1.0306276401031293e-08 - sys_2: 1.168861355951377e-08 - sys_3: 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4.087748499518048e-06 + sys_54: 1.0723921979698017e-07 +- pol: 0.000598 + lumi: 0.0005 + sys_0: -9.760510588081825e-07 + sys_1: 3.2982173523095426e-06 + sys_2: 0.0002461648753249573 + sys_3: -0.00014826066564818866 + sys_4: -0.00028721035642905834 + sys_5: 2.5307246977877084e-05 + sys_6: 0.0003329430723853257 + sys_7: -0.0009969834753114494 + sys_8: 1.085915500947733e-05 + sys_9: 0.0029145841838451305 + sys_10: 0.0006302103891965757 + sys_11: -0.0008385429249779247 + sys_12: 0.005332132548805452 + sys_13: -0.006513836745363104 + sys_14: -0.005372781033024831 + sys_15: -0.00021982626028653333 + sys_16: 9.608033508857557e-06 + sys_17: -0.0019908999130607073 + sys_18: 0.0026594608581895374 + sys_19: -0.0007641667663534264 + sys_20: 7.733495270018974e-05 + sys_21: -4.158103005843695e-05 + sys_22: -2.2096784079061853e-05 + sys_23: 0.0009037313990061078 + sys_24: 2.0452489273009423e-05 + sys_25: 1.4541308621169646e-05 + sys_26: -0.00027350533469576373 + sys_27: -0.0004328094545077054 + sys_28: -9.68146049479721e-05 + sys_29: -0.00015542762030084837 + sys_30: 0.0004081045532262642 + sys_31: 0.00024444080808111115 + sys_32: 2.337190779790684e-05 + sys_33: -5.8339688696582285e-05 + sys_34: 2.8044159776294532e-05 + sys_35: 3.72279540905547e-05 + sys_36: -3.9619999149580605e-05 + sys_37: -3.9758980568553805e-06 + sys_38: -5.514092091061613e-05 + sys_39: -0.00015982883603593822 + sys_40: 1.280449261976766e-05 + sys_41: -2.870726377210201e-05 + sys_42: -3.935948644132474e-05 + sys_43: 7.950298482475439e-06 + sys_44: 2.012591694092418e-05 + sys_45: -9.68067319800534e-06 + sys_46: 1.7522183443564621e-06 + sys_47: -1.2976108012021999e-06 + sys_48: 3.6223275203775305e-06 + sys_49: -1.7846117863936533e-06 + sys_50: -5.712729578145397e-07 + sys_51: -2.0749258371053974e-06 + sys_52: -2.8104278658360173e-06 + sys_53: 2.2589700272245316e-06 + sys_54: -1.633139895745711e-07 +- pol: 0.001833 + lumi: 0.0005 + sys_0: -3.980543092058885e-06 + sys_1: 1.3970398524194827e-05 + sys_2: 0.006698695525763587 + sys_3: -0.00793412613824112 + sys_4: -0.030445063700132294 + sys_5: -7.702880306314849e-05 + sys_6: -0.010664823694105978 + sys_7: 0.004045701935387951 + sys_8: -2.080986418097191e-06 + sys_9: -0.001778520371006865 + sys_10: -0.00039920864031923396 + sys_11: -0.0007148417922962354 + sys_12: -0.0003507484962298639 + sys_13: -0.000280310250052849 + sys_14: -0.00014604134545650934 + sys_15: -6.1379837546738025e-06 + sys_16: 5.348445281537037e-07 + sys_17: -7.909706169156667e-05 + sys_18: 0.0002184054704118239 + sys_19: -6.89376215888873e-05 + sys_20: -2.598450008067757e-05 + sys_21: -4.33509734711091e-06 + sys_22: -2.1736458644610068e-06 + sys_23: 5.326387141743868e-05 + sys_24: 5.116577685065594e-06 + sys_25: 2.8475504628413597e-06 + sys_26: -7.0262723636100016e-06 + sys_27: -3.2749443307112043e-06 + sys_28: -1.8661919913722762e-05 + sys_29: -3.3765339113065e-05 + sys_30: 4.0929143886329305e-05 + sys_31: 1.3633282072982091e-05 + sys_32: -1.1493360209342068e-06 + sys_33: -2.4010967050596406e-05 + sys_34: 8.18218511486655e-06 + sys_35: 4.814138112902533e-07 + sys_36: -3.6548531854894057e-06 + sys_37: -1.643184661524371e-06 + sys_38: -3.6461298588737134e-06 + sys_39: -7.848204247780759e-06 + sys_40: 8.640501022415997e-07 + sys_41: -2.1121208712118595e-06 + sys_42: -1.324611046806053e-06 + sys_43: -4.0264779842782366e-07 + sys_44: 1.9977230560802901e-07 + sys_45: 4.404127961440465e-07 + sys_46: -4.842444951624331e-07 + sys_47: -7.365413583612433e-07 + sys_48: 3.7846729672894614e-07 + sys_49: -3.4935933045267453e-07 + sys_50: -7.018020041527868e-08 + sys_51: -5.694394543822049e-07 + sys_52: -3.8742966940176704e-07 + sys_53: 2.964432619699536e-07 + sys_54: -4.5220944437680936e-08 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/uncertainties_SS.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/uncertainties_SS.yaml index cd676c7e58..6d2ed1a16f 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/uncertainties_SS.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/uncertainties_SS.yaml @@ -1,629 +1,629 @@ definitions: - stat: - description: statistical uncertainty - treatment: ADD - type: UNCORR pol: description: beam polarization uncertainty treatment: MULT type: STAR2009POL + lumi: + description: luminosity uncertainty + treatment: ADD + type: STAR2009LUMI sys_0: - description: 0 artificial correlated systematics uncertainty + description: 0 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc0 sys_1: - description: 1 artificial correlated systematics uncertainty + description: 1 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc1 sys_2: - description: 2 artificial correlated systematics uncertainty + description: 2 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc2 sys_3: - description: 3 artificial correlated systematics uncertainty + description: 3 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc3 sys_4: - description: 4 artificial correlated systematics uncertainty + description: 4 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc4 sys_5: - description: 5 artificial correlated systematics uncertainty + description: 5 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc5 sys_6: - description: 6 artificial correlated systematics uncertainty + description: 6 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc6 sys_7: - description: 7 artificial correlated systematics uncertainty + description: 7 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc7 sys_8: - description: 8 artificial correlated systematics uncertainty + description: 8 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc8 sys_9: - description: 9 artificial correlated systematics uncertainty + description: 9 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc9 sys_10: - description: 10 artificial correlated systematics uncertainty + description: 10 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc10 sys_11: - description: 11 artificial correlated systematics uncertainty + description: 11 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc11 sys_12: - description: 12 artificial correlated systematics uncertainty + description: 12 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc12 sys_13: - description: 13 artificial correlated systematics uncertainty + description: 13 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc13 sys_14: - description: 14 artificial correlated systematics uncertainty + description: 14 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc14 sys_15: - description: 15 artificial correlated systematics uncertainty + description: 15 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc15 sys_16: - description: 16 artificial correlated systematics uncertainty + description: 16 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc16 sys_17: - description: 17 artificial correlated systematics uncertainty + description: 17 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc17 sys_18: - description: 18 artificial correlated systematics uncertainty + description: 18 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc18 sys_19: - description: 19 artificial correlated systematics uncertainty + description: 19 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc19 sys_20: - description: 20 artificial correlated systematics uncertainty + description: 20 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc20 sys_21: - description: 21 artificial correlated systematics uncertainty + description: 21 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc21 sys_22: - description: 22 artificial correlated systematics uncertainty + description: 22 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc22 sys_23: - description: 23 artificial correlated systematics uncertainty + description: 23 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc23 sys_24: - description: 24 artificial correlated systematics uncertainty + description: 24 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc24 sys_25: - description: 25 artificial correlated systematics uncertainty + description: 25 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc25 sys_26: - description: 26 artificial correlated systematics uncertainty + description: 26 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc26 sys_27: - description: 27 artificial correlated systematics uncertainty + description: 27 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc27 sys_28: - description: 28 artificial correlated systematics uncertainty + description: 28 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc28 sys_29: - description: 29 artificial correlated systematics uncertainty + description: 29 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc29 sys_30: - description: 30 artificial correlated systematics uncertainty + description: 30 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc30 sys_31: - description: 31 artificial correlated systematics uncertainty + description: 31 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc31 sys_32: - description: 32 artificial correlated systematics uncertainty + description: 32 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc32 sys_33: - description: 33 artificial correlated systematics uncertainty + description: 33 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc33 sys_34: - description: 34 artificial correlated systematics uncertainty + description: 34 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc34 sys_35: - description: 35 artificial correlated systematics uncertainty + description: 35 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc35 sys_36: - description: 36 artificial correlated systematics uncertainty + description: 36 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc36 sys_37: - description: 37 artificial correlated systematics uncertainty + description: 37 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc37 sys_38: - description: 38 artificial correlated systematics uncertainty + description: 38 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc38 sys_39: - description: 39 artificial correlated systematics uncertainty + description: 39 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc39 sys_40: - description: 40 artificial correlated systematics uncertainty + description: 40 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc40 sys_41: - description: 41 artificial correlated systematics uncertainty + description: 41 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc41 sys_42: - description: 42 artificial correlated systematics uncertainty + description: 42 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc42 sys_43: - description: 43 artificial correlated systematics uncertainty + description: 43 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc43 sys_44: - description: 44 artificial correlated systematics uncertainty + description: 44 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc44 sys_45: - description: 45 artificial correlated systematics uncertainty + description: 45 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc45 sys_46: - description: 46 artificial correlated systematics uncertainty + description: 46 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc46 sys_47: - description: 47 artificial correlated systematics uncertainty + description: 47 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc47 sys_48: - description: 48 artificial correlated systematics uncertainty + description: 48 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc48 sys_49: - description: 49 artificial correlated systematics uncertainty + description: 49 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc49 sys_50: - description: 50 artificial correlated systematics uncertainty + description: 50 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc50 sys_51: - description: 51 artificial correlated systematics uncertainty + description: 51 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc51 sys_52: - description: 52 artificial correlated systematics uncertainty + description: 52 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc52 sys_53: - description: 53 artificial correlated systematics uncertainty + description: 53 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc53 sys_54: - description: 54 artificial correlated systematics uncertainty + description: 54 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2009JETunc54 bins: -- stat: 0.0034 - pol: 0.0004355 - sys_0: -1.2745868794533312e-09 - sys_1: 5.120321056287781e-09 - sys_2: 6.386890279342732e-09 - sys_3: 1.636839171651797e-08 - sys_4: -1.876596185166426e-08 - sys_5: 5.240963420460901e-08 - sys_6: 1.2667280621917562e-07 - sys_7: 1.0533077232717144e-07 - sys_8: -5.909593501694135e-08 - sys_9: -5.370555059654927e-09 - sys_10: 1.8784551051893875e-07 - sys_11: -6.805393160204776e-07 - sys_12: -2.115147845212925e-07 - sys_13: -2.4291859665512185e-07 - sys_14: 3.406153503592616e-07 - sys_15: -3.5090738506470977e-07 - sys_16: -3.248576737969297e-07 - sys_17: 1.281411980643582e-06 - sys_18: -3.6722707093429534e-06 - sys_19: 1.2322367810287309e-06 - sys_20: -1.0719865566934256e-05 - sys_21: -1.885319851314969e-06 - sys_22: 6.071508772117032e-07 - sys_23: -1.9592001052782388e-05 - sys_24: 9.458591571518832e-06 - sys_25: 2.84295538950472e-06 - sys_26: -2.2035053122664686e-05 - sys_27: 0.00039111709520215553 - sys_28: -3.723149557826914e-06 - sys_29: 4.1367206480643e-05 - sys_30: -1.8593847733150164e-05 - sys_31: 9.596462511338796e-06 - sys_32: 6.7331431775377086e-06 - sys_33: 1.0542770059641744e-06 - sys_34: 7.534410009367287e-07 - sys_35: 7.957284888242403e-06 - sys_36: 1.1006736973337248e-05 - sys_37: -1.9061219870056966e-06 - sys_38: -1.3545978259841597e-06 - sys_39: -4.331648875645404e-06 - sys_40: 1.7546835696520169e-06 - sys_41: -1.3174078906600774e-05 - sys_42: 2.5203309227554118e-05 - sys_43: 2.0557721023596863e-05 - sys_44: -5.773983037994242e-06 - sys_45: 1.8283424891136337e-05 - sys_46: -1.9721829072765582e-06 - sys_47: 2.2853646239582307e-05 - sys_48: 8.81673476935858e-06 - sys_49: 1.803515701842365e-06 - sys_50: 3.151405309805501e-05 - sys_51: -1.7120709524932526e-05 - sys_52: 2.43002292968815e-06 - sys_53: -1.7999739025710678e-06 - sys_54: 8.495918057917717e-07 -- stat: 0.0032 - pol: 0.000572 - sys_0: -3.6587585470463116e-09 - sys_1: 1.2867903197716932e-08 - sys_2: 2.4517508347389007e-08 - sys_3: 5.817710305632352e-08 - sys_4: -1.082271024754738e-07 - sys_5: 2.9847872696186816e-07 - sys_6: 1.6133934715876545e-06 - sys_7: 9.366570452780046e-07 - sys_8: -2.0722094351624073e-07 - sys_9: -4.199594299714516e-08 - sys_10: 1.925952968818986e-06 - sys_11: -3.3267696622952146e-06 - sys_12: -6.215190765101206e-06 - sys_13: -5.068868278401309e-06 - sys_14: 8.076883728919418e-06 - sys_15: -2.6607318408289053e-06 - sys_16: 4.514668060561866e-07 - sys_17: 2.1220627237716343e-05 - sys_18: -2.30575513348619e-05 - sys_19: 2.3097400068499534e-05 - sys_20: -3.7246173904704516e-05 - sys_21: 2.938959153748784e-06 - sys_22: -5.965108372991939e-07 - sys_23: -5.4234248264774566e-05 - sys_24: 2.8803488100855046e-06 - sys_25: 1.1097086133668866e-05 - sys_26: -2.4140947100402166e-05 - sys_27: 2.5964475477153514e-05 - sys_28: -0.0002020739018161458 - sys_29: -0.00043333442484540615 - sys_30: -9.232496512322661e-05 - sys_31: -4.8220882182179985e-06 - sys_32: 3.350354434701201e-05 - sys_33: -1.4376087269335327e-06 - sys_34: -1.7068994879608797e-05 - sys_35: 9.606136763692325e-06 - sys_36: -1.2097597459274236e-06 - sys_37: 6.975368658095652e-06 - sys_38: -6.127785661849465e-06 - sys_39: 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6.850030180857224e-08 + sys_36: -1.9746487335832137e-06 + sys_37: -5.064178900521006e-07 + sys_38: -1.5364179170256934e-06 + sys_39: -3.872252042783669e-06 + sys_40: 5.253867234223082e-07 + sys_41: -9.277383719802631e-07 + sys_42: -6.126622792770463e-07 + sys_43: -1.8873070995916441e-07 + sys_44: 5.570752965623039e-08 + sys_45: 2.804371869898015e-07 + sys_46: -2.7537327727124625e-07 + sys_47: -4.019236265125793e-07 + sys_48: 2.1754650250370236e-07 + sys_49: -1.8662544883500077e-07 + sys_50: -4.319177183898664e-08 + sys_51: -3.0596987859297205e-07 + sys_52: -2.1576141744187774e-07 + sys_53: 1.655365569083554e-07 + sys_54: -2.6227567542193994e-08 From e3805a7874c258c9e5571e867434f7305e3ced38 Mon Sep 17 00:00:00 2001 From: giacomomagni Date: Fri, 17 May 2024 14:59:42 +0200 Subject: [PATCH 51/70] move filters closer to raw data --- .../STAR_2009_1JET_200GEV/filter.py} | 32 +++++++++---------- .../STAR_2012_1JET_510GEV/filter.py} | 16 ++++++---- .../STAR_2013_1JET_510GEV/filter.py} | 21 ++++++------ .../STAR_2015_1JET_200GEV/filter.py} | 16 ++++++---- 4 files changed, 46 insertions(+), 39 deletions(-) rename nnpdf_data/nnpdf_data/{filter_utils/star/jet_dijet_2009_200gev.py => new_commondata/STAR_2009_1JET_200GEV/filter.py} (88%) rename nnpdf_data/nnpdf_data/{filter_utils/star/jet_dijet_2012_510gev.py => new_commondata/STAR_2012_1JET_510GEV/filter.py} (95%) rename nnpdf_data/nnpdf_data/{filter_utils/star/jet_dijet_2013_510gev.py => new_commondata/STAR_2013_1JET_510GEV/filter.py} (94%) rename nnpdf_data/nnpdf_data/{filter_utils/star/jet_dijet_2015_200gev.py => new_commondata/STAR_2015_1JET_200GEV/filter.py} (95%) diff --git a/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2009_200gev.py b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/filter.py similarity index 88% rename from nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2009_200gev.py rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/filter.py index cfdc7bf334..bdddca6e50 100644 --- a/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2009_200gev.py +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/filter.py @@ -14,7 +14,7 @@ POL_UNC = 0.065 LUMI_UNC = 0.0005 YEAR = 2009 -HERE = pathlib.Path(__file__).parents[2] +HERE = pathlib.Path(__file__).parent def read_1jet_data(): @@ -22,11 +22,11 @@ def read_1jet_data(): df4 = pd.DataFrame() fnames = [ - f"../../new_commondata/STAR_{YEAR}_1JET_200GEV/rawdata/Table_3_ALL.csv", - f"../../new_commondata/STAR_{YEAR}_1JET_200GEV/rawdata/Table_3_pT.csv", - f"../../new_commondata/STAR_{YEAR}_1JET_200GEV/rawdata/Table_4_ALL.csv", - f"../../new_commondata/STAR_{YEAR}_1JET_200GEV/rawdata/Table_4_pT.csv", - f"../../new_commondata/STAR_{YEAR}_1JET_200GEV/rawdata/Table_5.csv", + f"rawdata/Table_3_ALL.csv", + f"rawdata/Table_3_pT.csv", + f"rawdata/Table_4_ALL.csv", + f"rawdata/Table_4_pT.csv", + f"rawdata/Table_5.csv", ] for fname in fnames: @@ -90,9 +90,9 @@ def read_1jet_data(): def read_2jet_data(topology): if "S" in topology: - fname = f"../../new_commondata/STAR_{YEAR}_2JET_MIDRAP_200GEV/rawdata/Table_{topology}.yaml" + fname = f"../STAR_{YEAR}_2JET_MIDRAP_200GEV/rawdata/Table_{topology}.yaml" else: - fname = f"../../new_commondata/STAR_{YEAR}_2JET_200GEV/rawdata/Table_{topology}.yaml" + fname = f"../STAR_{YEAR}_2JET_200GEV/rawdata/Table_{topology}.yaml" df = pd.DataFrame() with open(fname, "r", encoding="utf-8") as file: data = yaml.safe_load(file) @@ -145,11 +145,11 @@ def read_2jet_data(topology): def write_1jet_data(df, art_sys): - STORE_PATH = f"../../new_commondata/STAR_{YEAR}_1JET_200GEV/" + STORE_PATH = HERE # Write central data data_central_yaml = {"data_central": list(df["ALL"])} - with open(STORE_PATH + "data.yaml", "w", encoding="utf-8") as file: + with open(STORE_PATH / "data.yaml", "w", encoding="utf-8") as file: yaml.dump(data_central_yaml, file) # Write kin file @@ -166,7 +166,7 @@ def write_1jet_data(df, art_sys): } kin.append(kin_value) kinematics_yaml = {"bins": kin} - with open(STORE_PATH + "kinematics.yaml", "w", encoding="utf-8") as file: + with open(STORE_PATH / "kinematics.yaml", "w", encoding="utf-8") as file: yaml.dump(kinematics_yaml, file) # Write unc file @@ -203,16 +203,14 @@ def write_1jet_data(df, art_sys): ) uncertainties_yaml = {"definitions": error_definition, "bins": error} - with open(STORE_PATH + "uncertainties.yaml", "w", encoding="utf-8") as file: + with open(STORE_PATH / "uncertainties.yaml", "w", encoding="utf-8") as file: yaml.dump(uncertainties_yaml, file, sort_keys=False) def write_2jet_data(df, topology, art_sys): - STORE_PATH = f"../../new_commondata/STAR_{YEAR}_2JET_200GEV/" + STORE_PATH = f"../STAR_{YEAR}_2JET_200GEV/" if "S" in topology: - STORE_PATH = f"../../new_commondata/STAR_{YEAR}_2JET_MIDRAP_200GEV/" - else: - STORE_PATH = f"../../new_commondata/STAR_{YEAR}_2JET_200GEV/" + STORE_PATH = f"../STAR_{YEAR}_2JET_MIDRAP_200GEV/" # Write central data data_central_yaml = {"data_central": list(df["ALL"])} with open(STORE_PATH + f"data_{topology}.yaml", "w", encoding="utf-8") as file: @@ -296,7 +294,7 @@ def write_2jet_data(df, topology, art_sys): # load correlations ndata_dict = {a: len(b) for a, b in dfs.items()} correlation_df = pd.read_csv( - f"../../new_commondata/STAR_{YEAR}_1JET_200GEV/rawdata/correlation.csv", + "rawdata/correlation.csv", index_col=0, ) # from the supplement material: diff --git a/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2012_510gev.py b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/filter.py similarity index 95% rename from nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2012_510gev.py rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/filter.py index dfbd04d786..16061682f8 100644 --- a/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2012_510gev.py +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/filter.py @@ -20,8 +20,8 @@ POL_UNC = 0.066 TOPOPLOGY_LIST = ["I", "A", "B", "C", "D"] -HERE = pathlib.Path(__file__).parents[2] -RAWDATA_PATH = HERE / f"new_commondata/STAR_{YEAR}_1JET_{SQRTS}GEV/rawdata/" +HERE = pathlib.Path(__file__).parent +RAWDATA_PATH = HERE / "rawdata/" def read_1jet_data(): @@ -117,7 +117,7 @@ def read_correlations(ndata_dict): def write_1jet_data(df, art_sys): - STORE_PATH = HERE / f"new_commondata/STAR_{YEAR}_1JET_{SQRTS}GEV/" + STORE_PATH = HERE # Write central data data_central_yaml = {"data_central": list(df["ALL"])} @@ -187,7 +187,7 @@ def write_1jet_data(df, art_sys): def write_2jet_data(df, topology, art_sys): - STORE_PATH = HERE / f"new_commondata/STAR_{YEAR}_2JET_{SQRTS}GEV/" + STORE_PATH = HERE / f"../STAR_{YEAR}_2JET_{SQRTS}GEV/" # Write central data data_central_yaml = {"data_central": list(df["ALL"])} with open(STORE_PATH / f"data_{topology}.yaml", "w", encoding="utf-8") as file: @@ -206,7 +206,9 @@ def write_2jet_data(df, topology, art_sys): } kin.append(kin_value) kinematics_yaml = {"bins": kin} - with open(STORE_PATH / f"kinematics_{topology}.yaml", "w", encoding="utf-8") as file: + with open( + STORE_PATH / f"kinematics_{topology}.yaml", "w", encoding="utf-8" + ) as file: yaml.dump(kinematics_yaml, file) # Write unc file @@ -253,7 +255,9 @@ def write_2jet_data(df, topology, art_sys): ) uncertainties_yaml = {"definitions": error_definition, "bins": error} - with open(STORE_PATH / f"uncertainties_{topology}.yaml", "w", encoding="utf-8") as file: + with open( + STORE_PATH / f"uncertainties_{topology}.yaml", "w", encoding="utf-8" + ) as file: yaml.dump(uncertainties_yaml, file, sort_keys=False) diff --git a/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2013_510gev.py b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/filter.py similarity index 94% rename from nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2013_510gev.py rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/filter.py index 06ca98d32b..ab62928cc2 100644 --- a/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2013_510gev.py +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/filter.py @@ -20,8 +20,8 @@ YEAR = 2013 TOPOPLOGY_LIST = ["1JET", "A", "B", "C", "D"] -HERE = pathlib.Path(__file__).parents[2] -RAWDATA_PATH = HERE / f"new_commondata/STAR_{YEAR}_1JET_510GEV/rawdata/" +HERE = pathlib.Path(__file__).parent +RAWDATA_PATH = HERE / "rawdata/" def read_1jet_data(): @@ -128,7 +128,7 @@ def read_correlations(ndata_dict): def write_1jet_data(df, art_sys): - STORE_PATH = HERE / f"new_commondata/STAR_{YEAR}_1JET_510GEV/" + STORE_PATH = HERE # Write central data data_central_yaml = {"data_central": list(df["ALL"])} @@ -172,10 +172,7 @@ def write_1jet_data(df, art_sys): } # loop on data points for i, sys_i in enumerate(art_sys): - e = { - "pol": float(df.loc[i, "pol"]), - "lumi": float(df.loc[i, "lumi"]) - } + e = {"pol": float(df.loc[i, "pol"]), "lumi": float(df.loc[i, "lumi"])} # loop on art sys for j, val in enumerate(sys_i): e[f"sys_{j}"] = val @@ -199,7 +196,7 @@ def write_1jet_data(df, art_sys): def write_2jet_data(df, topology, art_sys): - STORE_PATH = HERE / f"new_commondata/STAR_{YEAR}_2JET_510GEV/" + STORE_PATH = HERE / f"../STAR_{YEAR}_2JET_510GEV/" # Write central data data_central_yaml = {"data_central": list(df["ALL"])} with open(STORE_PATH / f"data_{topology}.yaml", "w", encoding="utf-8") as file: @@ -218,7 +215,9 @@ def write_2jet_data(df, topology, art_sys): } kin.append(kin_value) kinematics_yaml = {"bins": kin} - with open(STORE_PATH / f"kinematics_{topology}.yaml", "w", encoding="utf-8") as file: + with open( + STORE_PATH / f"kinematics_{topology}.yaml", "w", encoding="utf-8" + ) as file: yaml.dump(kinematics_yaml, file) # Write unc file @@ -265,7 +264,9 @@ def write_2jet_data(df, topology, art_sys): ) uncertainties_yaml = {"definitions": error_definition, "bins": error} - with open(STORE_PATH / f"uncertainties_{topology}.yaml", "w", encoding="utf-8") as file: + with open( + STORE_PATH / f"uncertainties_{topology}.yaml", "w", encoding="utf-8" + ) as file: yaml.dump(uncertainties_yaml, file, sort_keys=False) diff --git a/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2015_200gev.py b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/filter.py similarity index 95% rename from nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2015_200gev.py rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/filter.py index 9e6cbd6697..121b6ebde6 100644 --- a/nnpdf_data/nnpdf_data/filter_utils/star/jet_dijet_2015_200gev.py +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/filter.py @@ -38,8 +38,8 @@ ("SS", "SS"): 11, } -HERE = pathlib.Path(__file__).parents[2] -RAWDATA_PATH = HERE / f"new_commondata/STAR_{YEAR}_1JET_{SQRTS}GEV/rawdata/" +HERE = pathlib.Path(__file__).parent +RAWDATA_PATH = HERE / "rawdata/" def read_1jet_data(topology): @@ -140,7 +140,7 @@ def read_correlations(ndata_dict): def write_1jet_data(df, art_sys): - STORE_PATH = HERE / f"new_commondata/STAR_{YEAR}_1JET_{SQRTS}GEV/" + STORE_PATH = HERE # Write central data data_central_yaml = {"data_central": list(df["ALL"])} @@ -210,7 +210,7 @@ def write_1jet_data(df, art_sys): def write_2jet_data(df, topology, art_sys): - STORE_PATH = HERE / f"new_commondata/STAR_{YEAR}_2JET_MIDRAP_{SQRTS}GEV/" + STORE_PATH = HERE / f"../STAR_{YEAR}_2JET_MIDRAP_{SQRTS}GEV/" # Write central data data_central_yaml = {"data_central": list(df["ALL"])} with open(STORE_PATH / f"data_{topology}.yaml", "w", encoding="utf-8") as file: @@ -229,7 +229,9 @@ def write_2jet_data(df, topology, art_sys): } kin.append(kin_value) kinematics_yaml = {"bins": kin} - with open(STORE_PATH / f"kinematics_{topology}.yaml", "w", encoding="utf-8") as file: + with open( + STORE_PATH / f"kinematics_{topology}.yaml", "w", encoding="utf-8" + ) as file: yaml.dump(kinematics_yaml, file) # Write unc file @@ -275,7 +277,9 @@ def write_2jet_data(df, topology, art_sys): ) uncertainties_yaml = {"definitions": error_definition, "bins": error} - with open(STORE_PATH / f"uncertainties_{topology}.yaml", "w", encoding="utf-8") as file: + with open( + STORE_PATH / f"uncertainties_{topology}.yaml", "w", encoding="utf-8" + ) as file: yaml.dump(uncertainties_yaml, file, sort_keys=False) From bbd5112af8b921c7417350f42b73aa2ebd92f201 Mon Sep 17 00:00:00 2001 From: giacomomagni Date: Thu, 23 May 2024 17:38:11 +0200 Subject: [PATCH 52/70] correct unc order in 2015 data --- .../STAR_2015_1JET_200GEV/filter.py | 13 +- .../STAR_2015_1JET_200GEV/uncertainties.yaml | 132 +++++++++--------- .../uncertainties_OS.yaml | 44 +++--- .../uncertainties_SS.yaml | 44 +++--- 4 files changed, 116 insertions(+), 117 deletions(-) diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/filter.py b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/filter.py index 121b6ebde6..968cd66a91 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/filter.py +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/filter.py @@ -184,7 +184,7 @@ def write_1jet_data(df, art_sys): } # loop on data points for i, sys_i in enumerate(art_sys): - e = {} + e = {"lumi": float(df.loc[i, "lumi"]), "pol": float(df.loc[i, "pol"])} # loop on art sys for j, val in enumerate(sys_i): e[f"sys_{j}"] = val @@ -200,8 +200,6 @@ def write_1jet_data(df, art_sys): for j in range(len(sys_i)) } ) - e["lumi"] = float(df.loc[i, "lumi"]) - e["pol"] = float(df.loc[i, "pol"]) error.append(e) uncertainties_yaml = {"definitions": error_definition, "bins": error} @@ -255,13 +253,14 @@ def write_2jet_data(df, topology, art_sys): } # loop on data points for i, sys_i in enumerate(art_sys): - e = {} + e = { + "stat": float(df.loc[i, "stat"]), + "lumi": float(df.loc[i, "lumi"]), + "pol": float(df.loc[i, "pol"]), + } # loop on art sys for j, val in enumerate(sys_i): e[f"sys_{j}"] = val - e["stat"] = float(df.loc[i, "stat"]) - e["lumi"] = float(df.loc[i, "lumi"]) - e["pol"] = float(df.loc[i, "pol"]) error.append(e) if i == 0: diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/uncertainties.yaml index 0815fda9fb..76b929492c 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/uncertainties.yaml @@ -152,7 +152,9 @@ definitions: treatment: ADD type: STAR2015JETunc35 bins: -- sys_0: -1.2124945963636329e-05 +- lumi: 0.0007 + pol: 1.22e-05 + sys_0: -1.2124945963636329e-05 sys_1: 3.99763242964474e-05 sys_2: -2.073300487801316e-05 sys_3: 7.834205546114172e-05 @@ -188,9 +190,9 @@ bins: sys_33: -3.0106496090811998e-05 sys_34: -3.940821208479835e-05 sys_35: -9.25488815805122e-07 - lumi: 0.0007 - pol: 1.22e-05 -- sys_0: -7.696816897816436e-06 +- lumi: 0.0007 + pol: 3.6599999999999995e-05 + sys_0: -7.696816897816436e-06 sys_1: 3.158329891762911e-05 sys_2: -1.4276093639918046e-05 sys_3: 6.169333966668052e-05 @@ -226,9 +228,9 @@ bins: sys_33: -1.0460776050192041e-05 sys_34: -1.205550817839274e-05 sys_35: -1.7326915567916684e-06 - lumi: 0.0007 - pol: 3.6599999999999995e-05 -- sys_0: -8.928271882845198e-06 +- lumi: 0.0007 + pol: 0.00020739999999999997 + sys_0: -8.928271882845198e-06 sys_1: 3.2189485897211125e-05 sys_2: -1.8072701944326597e-05 sys_3: 6.114437754903917e-05 @@ -264,9 +266,9 @@ bins: sys_33: 1.6040914058375196e-05 sys_34: 5.679656267908188e-05 sys_35: -4.019081618240074e-05 - lumi: 0.0007 - pol: 0.00020739999999999997 -- sys_0: -8.338592642569744e-06 +- lumi: 0.0007 + pol: 0.0002501 + sys_0: -8.338592642569744e-06 sys_1: 2.617917607607148e-05 sys_2: -1.5692810293999932e-05 sys_3: 5.08686821586224e-05 @@ -302,9 +304,9 @@ bins: sys_33: 4.665788660243067e-05 sys_34: 6.327071886069236e-05 sys_35: -3.565453805427996e-05 - lumi: 0.0007 - pol: 0.0002501 -- sys_0: -1.102035219590501e-05 +- lumi: 0.0007 + pol: 0.000427 + sys_0: -1.102035219590501e-05 sys_1: 2.7991568409825474e-05 sys_2: -2.0944431656817954e-05 sys_3: 5.401419660453429e-05 @@ -340,9 +342,9 @@ bins: sys_33: 2.845084956211712e-05 sys_34: -6.39257320624614e-06 sys_35: -1.1410793563392638e-06 - lumi: 0.0007 - pol: 0.000427 -- sys_0: -1.3674843667800021e-05 +- lumi: 0.0007 + pol: 0.00027449999999999995 + sys_0: -1.3674843667800021e-05 sys_1: 3.0913815568366185e-05 sys_2: -2.8236049481321965e-05 sys_3: 5.934452019765229e-05 @@ -378,9 +380,9 @@ bins: sys_33: 2.2234460889475192e-05 sys_34: -1.2046685413134894e-05 sys_35: 4.144281777041136e-05 - lumi: 0.0007 - pol: 0.00027449999999999995 -- sys_0: -2.8989153926199464e-05 +- lumi: 0.0007 + pol: 0.0011102 + sys_0: -2.8989153926199464e-05 sys_1: 5.418810980982054e-05 sys_2: -5.917438350298771e-05 sys_3: 0.00010223703152275538 @@ -416,9 +418,9 @@ bins: sys_33: 7.12786764329618e-07 sys_34: 6.068042139452258e-06 sys_35: 5.331627034544395e-05 - lumi: 0.0007 - pol: 0.0011102 -- sys_0: -6.282312105818616e-05 +- lumi: 0.0007 + pol: 0.0013419999999999999 + sys_0: -6.282312105818616e-05 sys_1: 0.00010235921169198076 sys_2: -0.0001250611165520945 sys_3: 0.00020264051282595339 @@ -454,9 +456,9 @@ bins: sys_33: -7.744966400500296e-06 sys_34: 8.133443748848957e-06 sys_35: 3.3656216005843106e-05 - lumi: 0.0007 - pol: 0.0013419999999999999 -- sys_0: -0.0001865596034548736 +- lumi: 0.0007 + pol: 0.0011955999999999998 + sys_0: -0.0001865596034548736 sys_1: 0.0002777096776161295 sys_2: -0.00032258703013926776 sys_3: 0.0005809294410633857 @@ -492,9 +494,9 @@ bins: sys_33: -3.6960700075960874e-06 sys_34: 3.2641840370739155e-06 sys_35: 1.2362679925970823e-05 - lumi: 0.0007 - pol: 0.0011955999999999998 -- sys_0: -0.0004700112851671235 +- lumi: 0.0007 + pol: 0.0021227999999999998 + sys_0: -0.0004700112851671235 sys_1: 0.0009620707563561095 sys_2: -0.0009468978924169789 sys_3: 0.012673677482024638 @@ -530,9 +532,9 @@ bins: sys_33: -1.0984120173533775e-06 sys_34: 7.879208007930184e-07 sys_35: 3.3617657479900855e-06 - lumi: 0.0007 - pol: 0.0021227999999999998 -- sys_0: -0.0015533688718685544 +- lumi: 0.0007 + pol: 0.0031414999999999998 + sys_0: -0.0015533688718685544 sys_1: 0.02386976354434967 sys_2: 0.0009923420768127396 sys_3: -0.0005231263396747903 @@ -568,9 +570,9 @@ bins: sys_33: -2.600280551946243e-07 sys_34: 1.5749262377752516e-07 sys_35: 7.212885582617392e-07 - lumi: 0.0007 - pol: 0.0031414999999999998 -- sys_0: -5.723798549241382e-06 +- lumi: 0.0007 + pol: 1.2810000000000001e-05 + sys_0: -5.723798549241382e-06 sys_1: 9.519767702735362e-06 sys_2: -1.27072652067246e-05 sys_3: 1.644997190275843e-05 @@ -606,9 +608,9 @@ bins: sys_33: -4.90672716722918e-07 sys_34: -3.1959478982973937e-07 sys_35: -8.284104652471781e-07 - lumi: 0.0007 - pol: 1.2810000000000001e-05 -- sys_0: -6.372141793123253e-06 +- lumi: 0.0007 + pol: 5.5509999999999995e-05 + sys_0: -6.372141793123253e-06 sys_1: 1.0618676135602555e-05 sys_2: -1.4184286764078104e-05 sys_3: 1.8479492775187063e-05 @@ -644,9 +646,9 @@ bins: sys_33: 2.3060710759818616e-06 sys_34: 4.07222628215677e-06 sys_35: -9.638148723929519e-07 - lumi: 0.0007 - pol: 5.5509999999999995e-05 -- sys_0: -6.883019370244076e-06 +- lumi: 0.0007 + pol: 5.1240000000000004e-05 + sys_0: -6.883019370244076e-06 sys_1: 1.1003558621330908e-05 sys_2: -1.4444661657173362e-05 sys_3: 1.971365836321765e-05 @@ -682,9 +684,9 @@ bins: sys_33: 3.0554846486099124e-05 sys_34: 4.969212162931906e-05 sys_35: -1.2327423718436603e-05 - lumi: 0.0007 - pol: 5.1240000000000004e-05 -- sys_0: -9.471336297659553e-06 +- lumi: 0.0007 + pol: 0.00020313 + sys_0: -9.471336297659553e-06 sys_1: 1.4274548261633827e-05 sys_2: -1.9652809278312388e-05 sys_3: 2.5742472891751052e-05 @@ -720,9 +722,9 @@ bins: sys_33: 2.5238598526427057e-05 sys_34: 3.552091450700702e-05 sys_35: -1.2398305794429084e-05 - lumi: 0.0007 - pol: 0.00020313 -- sys_0: -1.0025507958493132e-05 +- lumi: 0.0007 + pol: 0.00014518 + sys_0: -1.0025507958493132e-05 sys_1: 1.5966373432219618e-05 sys_2: -1.924079064195383e-05 sys_3: 2.7315971371502272e-05 @@ -758,9 +760,9 @@ bins: sys_33: 1.2251701674935625e-05 sys_34: 6.492627009709344e-06 sys_35: 2.0707330919804266e-07 - lumi: 0.0007 - pol: 0.00014518 -- sys_0: -1.1173338612528268e-05 +- lumi: 0.0007 + pol: 0.00013054 + sys_0: -1.1173338612528268e-05 sys_1: 1.961048432764371e-05 sys_2: -2.6857840121337563e-05 sys_3: 3.827487028139256e-05 @@ -796,9 +798,9 @@ bins: sys_33: 7.5336045442300225e-06 sys_34: 2.312309112345567e-07 sys_35: 1.7638210086536075e-05 - lumi: 0.0007 - pol: 0.00013054 -- sys_0: -2.0570477258499703e-05 +- lumi: 0.0007 + pol: 0.0006960099999999999 + sys_0: -2.0570477258499703e-05 sys_1: 3.341772185543097e-05 sys_2: -4.488134242205468e-05 sys_3: 7.22681155104189e-05 @@ -834,9 +836,9 @@ bins: sys_33: 8.596633620516164e-07 sys_34: 3.3544762057573375e-06 sys_35: 2.0748792722128864e-05 - lumi: 0.0007 - pol: 0.0006960099999999999 -- sys_0: -3.9270091634046984e-05 +- lumi: 0.0007 + pol: 0.0007490799999999998 + sys_0: -3.9270091634046984e-05 sys_1: 6.762426798557228e-05 sys_2: -9.500115401585762e-05 sys_3: 0.0001662493026874323 @@ -872,9 +874,9 @@ bins: sys_33: -1.8827213363243646e-06 sys_34: 2.5310937188896434e-06 sys_35: 1.150124798434345e-05 - lumi: 0.0007 - pol: 0.0007490799999999998 -- sys_0: -0.00012846028769728705 +- lumi: 0.0007 + pol: 0.00125477 + sys_0: -0.00012846028769728705 sys_1: 0.00024121601804400018 sys_2: -0.00028844090043889206 sys_3: 0.000780111286063014 @@ -910,9 +912,9 @@ bins: sys_33: -8.843570008920012e-07 sys_34: 9.058648750522456e-07 sys_35: 3.6552706483788882e-06 - lumi: 0.0007 - pol: 0.00125477 -- sys_0: -0.00041642847232082193 +- lumi: 0.0007 + pol: 0.00324154 + sys_0: -0.00041642847232082193 sys_1: 0.001228477045927712 sys_2: -0.017984095958256955 sys_3: -0.0007360631397773987 @@ -948,9 +950,9 @@ bins: sys_33: -2.397396013195239e-07 sys_34: 2.2429290663413933e-07 sys_35: 8.388911008785556e-07 - lumi: 0.0007 - pol: 0.00324154 -- sys_0: -0.03571864759170568 +- lumi: 0.0007 + pol: 0.0014127599999999999 + sys_0: -0.03571864759170568 sys_1: -0.001080992033376142 sys_2: 0.00018610101689361095 sys_3: -0.00015040075674074282 @@ -986,5 +988,3 @@ bins: sys_33: -4.7218640493053443e-08 sys_34: 2.8007774467043292e-08 sys_35: 1.3924274174491083e-07 - lumi: 0.0007 - pol: 0.0014127599999999999 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/uncertainties_OS.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/uncertainties_OS.yaml index 27059f57b1..110235f85b 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/uncertainties_OS.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/uncertainties_OS.yaml @@ -156,7 +156,10 @@ definitions: treatment: ADD type: STAR2015JETunc35 bins: -- sys_0: -1.1061320396018662e-06 +- stat: 0.004 + lumi: 0.0007 + pol: 0.00040869999999999996 + sys_0: -1.1061320396018662e-06 sys_1: 2.1718755370553993e-06 sys_2: -2.5830445253971692e-06 sys_3: 3.6296783741788805e-06 @@ -192,10 +195,10 @@ bins: sys_33: 5.19964952240731e-06 sys_34: 9.60304630965654e-06 sys_35: -7.60469426007191e-06 - stat: 0.004 +- stat: 0.0027 lumi: 0.0007 - pol: 0.00040869999999999996 -- sys_0: -1.6340573248922996e-06 + pol: 0.00014639999999999998 + sys_0: -1.6340573248922996e-06 sys_1: 2.7041776919630667e-06 sys_2: -3.1173178937115303e-06 sys_3: 4.712942052475756e-06 @@ -231,10 +234,10 @@ bins: sys_33: 1.3229956462983903e-05 sys_34: 1.235315338187078e-05 sys_35: -4.490122223588943e-06 - stat: 0.0027 +- stat: 0.0032 lumi: 0.0007 - pol: 0.00014639999999999998 -- sys_0: -1.994515872365404e-06 + pol: 0.00031719999999999996 + sys_0: -1.994515872365404e-06 sys_1: 3.914843156851392e-06 sys_2: -4.394730722983546e-06 sys_3: 6.425295676120617e-06 @@ -270,10 +273,10 @@ bins: sys_33: 2.088399733065828e-05 sys_34: 9.726205441236005e-06 sys_35: 2.7812484922401876e-05 - stat: 0.0032 +- stat: 0.0044 lumi: 0.0007 - pol: 0.00031719999999999996 -- sys_0: -1.598029786007592e-06 + pol: 0.0006709999999999999 + sys_0: -1.598029786007592e-06 sys_1: 3.2433940050812422e-06 sys_2: -4.672594779356799e-06 sys_3: 8.135263445821254e-06 @@ -309,10 +312,10 @@ bins: sys_33: 2.234800750523832e-05 sys_34: 8.728947977780823e-06 sys_35: 0.00013824507611649616 - stat: 0.0044 +- stat: 0.0068 lumi: 0.0007 - pol: 0.0006709999999999999 -- sys_0: -3.15647672260929e-06 + pol: 0.0012261 + sys_0: -3.15647672260929e-06 sys_1: 7.330181090309398e-06 sys_2: -9.339034142974121e-06 sys_3: 2.0960959480340322e-05 @@ -348,10 +351,10 @@ bins: sys_33: 0.00043038462482193575 sys_34: -0.00036853205157917347 sys_35: -0.000587271811790324 - stat: 0.0068 +- stat: 0.0097 lumi: 0.0007 - pol: 0.0012261 -- sys_0: -2.489123364895397e-05 + pol: 0.001464 + sys_0: -2.489123364895397e-05 sys_1: 6.169901617600183e-05 sys_2: -7.407651152929401e-05 sys_3: 0.00017160806199955657 @@ -387,10 +390,10 @@ bins: sys_33: 3.094615585902205e-05 sys_34: -2.832481801089827e-05 sys_35: -0.00012936308511524305 - stat: 0.0097 +- stat: 0.0304 lumi: 0.0007 - pol: 0.001464 -- sys_0: -0.000262407865574758 + pol: 0.005697399999999999 + sys_0: -0.000262407865574758 sys_1: 0.0004999571511161691 sys_2: -0.00023742402104442333 sys_3: 0.0003395142113740446 @@ -426,6 +429,3 @@ bins: sys_33: 5.098291029822002e-06 sys_34: -3.140091470604209e-06 sys_35: -1.4394685825368486e-05 - stat: 0.0304 - lumi: 0.0007 - pol: 0.005697399999999999 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/uncertainties_SS.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/uncertainties_SS.yaml index 3f48767aa6..35bd6533dc 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/uncertainties_SS.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/uncertainties_SS.yaml @@ -156,7 +156,10 @@ definitions: treatment: ADD type: STAR2015JETunc35 bins: -- sys_0: -1.993644240492427e-06 +- stat: 0.0036 + lumi: 0.0007 + pol: 0.0004331 + sys_0: -1.993644240492427e-06 sys_1: 3.920582178397754e-06 sys_2: -4.666612808032058e-06 sys_3: 6.586698567296014e-06 @@ -192,10 +195,10 @@ bins: sys_33: -0.0004512893694399416 sys_34: -0.000742256259048967 sys_35: 9.770342524098406e-05 - stat: 0.0036 +- stat: 0.0028 lumi: 0.0007 - pol: 0.0004331 -- sys_0: -2.2946739665773644e-06 + pol: 0.00029889999999999995 + sys_0: -2.2946739665773644e-06 sys_1: 3.824616739192873e-06 sys_2: -5.082877104928578e-06 sys_3: 6.6069315690319355e-06 @@ -231,10 +234,10 @@ bins: sys_33: -1.218867660774324e-05 sys_34: -1.8238734535990548e-05 sys_35: -1.456217645240252e-06 - stat: 0.0028 +- stat: 0.0035 lumi: 0.0007 - pol: 0.00029889999999999995 -- sys_0: -2.666045724383394e-06 + pol: 0.00010369999999999999 + sys_0: -2.666045724383394e-06 sys_1: 5.2463453306817116e-06 sys_2: -5.912910553741228e-06 sys_3: 8.775442918988407e-06 @@ -270,10 +273,10 @@ bins: sys_33: 3.1423339882602877e-07 sys_34: -3.862509868941909e-05 sys_35: 0.00021343760152247815 - stat: 0.0035 +- stat: 0.0051 lumi: 0.0007 - pol: 0.00010369999999999999 -- sys_0: -3.002152473240926e-06 + pol: 0.0008356999999999999 + sys_0: -3.002152473240926e-06 sys_1: 5.109338201378194e-06 sys_2: -6.965594896530206e-06 sys_3: 1.16222193788742e-05 @@ -309,10 +312,10 @@ bins: sys_33: -0.0006345514814103799 sys_34: 0.0002880588529425135 sys_35: -0.00048079450842349145 - stat: 0.0051 +- stat: 0.0081 lumi: 0.0007 - pol: 0.0008356999999999999 -- sys_0: -5.059763074576364e-06 + pol: 0.0019276000000000002 + sys_0: -5.059763074576364e-06 sys_1: 9.398095293551316e-06 sys_2: -1.850833515827543e-05 sys_3: 3.099237747411482e-05 @@ -348,10 +351,10 @@ bins: sys_33: 2.8170278505412898e-05 sys_34: -1.4808272155892904e-05 sys_35: -0.00015055826030636424 - stat: 0.0081 +- stat: 0.0121 lumi: 0.0007 - pol: 0.0019276000000000002 -- sys_0: -4.5501937423392515e-05 + pol: 0.0014151999999999997 + sys_0: -4.5501937423392515e-05 sys_1: 9.500547570473894e-05 sys_2: -0.00012884305671045153 sys_3: 0.00024992766515355685 @@ -387,10 +390,10 @@ bins: sys_33: 2.0298288219206972e-05 sys_34: -1.1889346818063713e-05 sys_35: -6.705658902668767e-05 - stat: 0.0121 +- stat: 0.0418 lumi: 0.0007 - pol: 0.0014151999999999997 -- sys_0: -0.0003880105996750081 + pol: 0.0013908000000000002 + sys_0: -0.0003880105996750081 sys_1: 0.0008640577953892648 sys_2: -0.00018226616456970055 sys_3: 0.0004948026664088059 @@ -426,6 +429,3 @@ bins: sys_33: 2.2001974670195147e-06 sys_34: -7.33634436311964e-07 sys_35: -5.440401898597821e-06 - stat: 0.0418 - lumi: 0.0007 - pol: 0.0013908000000000002 From 4fc04c4a595bf7c6d70346a4eaa372526f2d60a6 Mon Sep 17 00:00:00 2001 From: giacomomagni Date: Fri, 14 Jun 2024 11:07:42 +0200 Subject: [PATCH 53/70] update 1jet fktables names --- .../new_commondata/STAR_2005_1JET_200GEV/metadata.yaml | 4 +++- .../new_commondata/STAR_2006_1JET_200GEV/metadata.yaml | 4 +++- .../new_commondata/STAR_2009_1JET_200GEV/metadata.yaml | 4 +++- .../new_commondata/STAR_2012_1JET_510GEV/metadata.yaml | 4 +++- .../new_commondata/STAR_2013_1JET_510GEV/metadata.yaml | 4 +++- .../new_commondata/STAR_2015_1JET_200GEV/metadata.yaml | 4 +++- 6 files changed, 18 insertions(+), 6 deletions(-) diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2005_1JET_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2005_1JET_200GEV/metadata.yaml index f0a2a5d56f..0f02f2a65e 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2005_1JET_200GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2005_1JET_200GEV/metadata.yaml @@ -51,4 +51,6 @@ implemented_observables: y_label: "$A_{LL}$" theory: FK_tables: - - - STAR_2005_1JET_200GEV_ALL + - - STAR_2005_1JET_200GEV_ALL-POL + - - STAR_2005_1JET_200GEV_ALL-UNPOL + operation: "ratio" \ No newline at end of file diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2006_1JET_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2006_1JET_200GEV/metadata.yaml index fd33472a5b..d8d069f9b8 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2006_1JET_200GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2006_1JET_200GEV/metadata.yaml @@ -51,4 +51,6 @@ implemented_observables: y_label: "$A_{LL}$" theory: FK_tables: - - - STAR_2006_1JET_200GEV_ALL + - - STAR_2006_1JET_200GEV_ALL-POL + - - STAR_2006_1JET_200GEV_ALL-UNPOL + operation: "ratio" diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/metadata.yaml index af8244f0c2..709bd799c2 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/metadata.yaml @@ -51,4 +51,6 @@ implemented_observables: y_label: "$A_{LL}$" theory: FK_tables: - - - STAR_2009_1JET_200GEV_ALL + - - STAR_2009_1JET_200GEV_ALL-POL + - - STAR_2009_1JET_200GEV_ALL-UNPOL + operation: "ratio" \ No newline at end of file diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/metadata.yaml index 4095a4de8c..cc03bd80e2 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/metadata.yaml @@ -54,4 +54,6 @@ implemented_observables: y_label: "$A_{LL}$" theory: FK_tables: - - - STAR_2012_1JET_510GEV_ALL + - - STAR_2012_1JET_510GEV_ALL-POL + - - STAR_2012_1JET_510GEV_ALL-UNPOL + operation: "ratio" \ No newline at end of file diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/metadata.yaml index 086d96bbdb..10cfd57013 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/metadata.yaml @@ -49,4 +49,6 @@ implemented_observables: y_label: "$A_{LL}$" theory: FK_tables: - - - STAR_2013_1JET_510GEV_ALL + - - STAR_2013_1JET_510GEV_ALL-POL + - - STAR_2013_1JET_510GEV_ALL-UNPOL + operation: "ratio" \ No newline at end of file diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/metadata.yaml index 999d3d8d87..3f63fe84f9 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/metadata.yaml @@ -49,4 +49,6 @@ implemented_observables: y_label: "$A_{LL}$" theory: FK_tables: - - - STAR_2015_1JET_200GEV_ALL + - - STAR_2015_1JET_200GEV_ALL-POL + - - STAR_2015_1JET_200GEV_ALL-UNPOL + operation: "ratio" \ No newline at end of file From 49e15e7d6bac40521d16e0df8a55dd4a8825c489 Mon Sep 17 00:00:00 2001 From: giacomomagni Date: Tue, 18 Jun 2024 15:14:45 +0200 Subject: [PATCH 54/70] split 1jet 2009 and 2015 into 2 observables --- .../{data.yaml => data_CC.yaml} | 11 - .../STAR_2009_1JET_200GEV/data_CF.yaml | 12 + .../STAR_2009_1JET_200GEV/filter.py | 125 ++- .../STAR_2009_1JET_200GEV/kinematics.yaml | 265 ------ .../STAR_2009_1JET_200GEV/kinematics_CC.yaml | 133 +++ .../STAR_2009_1JET_200GEV/kinematics_CF.yaml | 133 +++ .../STAR_2009_1JET_200GEV/metadata.yaml | 58 +- ...certainties.yaml => uncertainties_CC.yaml} | 627 ------------- .../uncertainties_CF.yaml | 857 ++++++++++++++++++ .../STAR_2015_1JET_200GEV/data_CC.yaml | 12 + .../{data.yaml => data_CF.yaml} | 11 - .../STAR_2015_1JET_200GEV/filter.py | 34 +- .../{kinematics.yaml => kinematics_CC.yaml} | 132 --- .../STAR_2015_1JET_200GEV/kinematics_CF.yaml | 133 +++ .../STAR_2015_1JET_200GEV/metadata.yaml | 52 +- ...certainties.yaml => uncertainties_CC.yaml} | 418 --------- .../uncertainties_CF.yaml | 572 ++++++++++++ 17 files changed, 2018 insertions(+), 1567 deletions(-) rename nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/{data.yaml => data_CC.yaml} (53%) create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/data_CF.yaml delete mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/kinematics.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/kinematics_CC.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/kinematics_CF.yaml rename nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/{uncertainties.yaml => uncertainties_CC.yaml} (58%) create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/uncertainties_CF.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/data_CC.yaml rename nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/{data.yaml => data_CF.yaml} (56%) rename nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/{kinematics.yaml => kinematics_CC.yaml} (50%) create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/kinematics_CF.yaml rename nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/{uncertainties.yaml => uncertainties_CC.yaml} (58%) create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/uncertainties_CF.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/data.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/data_CC.yaml similarity index 53% rename from nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/data.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/data_CC.yaml index 56efa8beb3..df9f4f0e9d 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/data.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/data_CC.yaml @@ -10,14 +10,3 @@ data_central: - 0.0207 - 0.0326 - 0.0332 -- 0.0018 -- 0.004 -- 0.0059 -- 0.0027 -- 0.0069 -- 0.0087 -- 0.015 -- 0.0195 -- 0.0333 -- 0.0437 -- 0.0055 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/data_CF.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/data_CF.yaml new file mode 100644 index 0000000000..44f13d9a83 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/data_CF.yaml @@ -0,0 +1,12 @@ +data_central: +- 0.0018 +- 0.004 +- 0.0059 +- 0.0027 +- 0.0069 +- 0.0087 +- 0.015 +- 0.0195 +- 0.0333 +- 0.0437 +- 0.0055 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/filter.py b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/filter.py index bdddca6e50..38fa615406 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/filter.py +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/filter.py @@ -10,74 +10,54 @@ from nnpdf_data.filter_utils.correlations import compute_covmat -TOPOPLOGY_LIST = ["I", "SS", "OS", "A", "B", "C"] +TOPOPLOGY_LIST = ["CC", "CF", "SS", "OS", "A", "B", "C"] POL_UNC = 0.065 LUMI_UNC = 0.0005 YEAR = 2009 HERE = pathlib.Path(__file__).parent -def read_1jet_data(): - df3 = pd.DataFrame() - df4 = pd.DataFrame() - +def read_1jet_data(topology): + tab_number = 3 if "CC" in topology else 4 fnames = [ - f"rawdata/Table_3_ALL.csv", - f"rawdata/Table_3_pT.csv", - f"rawdata/Table_4_ALL.csv", - f"rawdata/Table_4_pT.csv", + f"rawdata/Table_{tab_number}_ALL.csv", + f"rawdata/Table_{tab_number}_pT.csv", f"rawdata/Table_5.csv", ] + df = pd.DataFrame() for fname in fnames: - if "3" in fname: - dfi = pd.read_csv(fname) - if "pT" in fname: - df3["pT"] = dfi["Parton Jet $p_T$ [GeV/c]"] - - elif "ALL" in fname: - df3["ALL"] = dfi["$A_{LL}$"] - df3["stat_min"] = dfi["stat -"] - df3["stat_max"] = dfi["stat +"] - df3["sys_min"] = dfi["sys -"] - df3["sys_max"] = dfi["sys +"] - - df3["abs_eta_min"] = 0.0 - df3["abs_eta_max"] = 0.5 - - elif "4" in fname: - dfi = pd.read_csv(fname) - if "pT" in fname: - df4["pT"] = dfi["Parton Jet $p_T$ [GeV/c]"] - - if "ALL" in fname: - df4["ALL"] = dfi["$A_{LL}$"] - df4["stat_min"] = dfi["stat -"] - df4["stat_max"] = dfi["stat +"] - df4["sys_min"] = dfi["sys -"] - df4["sys_max"] = dfi["sys +"] - - df4["abs_eta_min"] = 0.5 - df4["abs_eta_max"] = 1.0 - - elif "5" in fname: - dfc_col = pd.read_csv(fname) - - dfc = pd.DataFrame() - biny = 1 - for i in range(len(dfc_col)): - if dfc_col.loc[i, "binx"] == "-": - biny = float(dfc_col.loc[i, "val"]) - else: - binx = float(dfc_col.loc[i, "binx"]) - dfc.loc[binx, biny] = dfc_col.loc[i, "val"] - - dfc = dfc.astype("float") - - else: - print("ERROR: Unknown table number detected! Check input files.") - - df = pd.concat([df3, df4], ignore_index=True) + dfi = pd.read_csv(fname) + if "pT" in fname: + df["pT"] = dfi["Parton Jet $p_T$ [GeV/c]"] + df["pT_min"] = df["pT"] - dfi["sys +"] + df["pT_max"] = df["pT"] + dfi["sys +"] + + elif "ALL" in fname: + df["ALL"] = dfi["$A_{LL}$"] + df["stat_min"] = dfi["stat -"] + df["stat_max"] = dfi["stat +"] + df["sys_min"] = dfi["sys -"] + df["sys_max"] = dfi["sys +"] + # elif "5" in fname: + # dfc_col = pd.read_csv(fname) + + # dfc = pd.DataFrame() + # biny = 1 + # for i in range(len(dfc_col)): + # if dfc_col.loc[i, "binx"] == "-": + # biny = float(dfc_col.loc[i, "val"]) + # else: + # binx = float(dfc_col.loc[i, "binx"]) + # dfc.loc[binx, biny] = dfc_col.loc[i, "val"] + # dfc = dfc.astype("float") + + if topology == "CC": + df["abs_eta_min"] = 0.0 + df["abs_eta_max"] = 0.5 + elif topology == "CF": + df["abs_eta_min"] = 0.5 + df["abs_eta_max"] = 1.0 df["stat"] = df["stat_max"] df["sys"] = df["sys_max"] @@ -85,7 +65,7 @@ def read_1jet_data(): df["lumi"] = LUMI_UNC df["sqrts"] = 200 df["abs_eta"] = (df["abs_eta_min"] + df["abs_eta_max"]) / 2 - return df, dfc + return df def read_2jet_data(topology): @@ -144,19 +124,23 @@ def read_2jet_data(topology): return df -def write_1jet_data(df, art_sys): +def write_1jet_data(df, topology, art_sys): STORE_PATH = HERE # Write central data data_central_yaml = {"data_central": list(df["ALL"])} - with open(STORE_PATH / "data.yaml", "w", encoding="utf-8") as file: + with open(STORE_PATH / f"data_{topology}.yaml", "w", encoding="utf-8") as file: yaml.dump(data_central_yaml, file) # Write kin file kin = [] for i in range(len(df)): kin_value = { - "pT": {"min": None, "mid": float(df.loc[i, "pT"]), "max": None}, + "pT": { + "min": float(df.loc[i, "pT_min"]), + "mid": float(df.loc[i, "pT"]), + "max": float(df.loc[i, "pT_max"]), + }, "sqrts": {"min": None, "mid": float(df.loc[i, "sqrts"]), "max": None}, "abs_eta": { "min": float(df.loc[i, "abs_eta_min"]), @@ -166,7 +150,9 @@ def write_1jet_data(df, art_sys): } kin.append(kin_value) kinematics_yaml = {"bins": kin} - with open(STORE_PATH / "kinematics.yaml", "w", encoding="utf-8") as file: + with open( + STORE_PATH / f"kinematics_{topology}.yaml", "w", encoding="utf-8" + ) as file: yaml.dump(kinematics_yaml, file) # Write unc file @@ -203,7 +189,9 @@ def write_1jet_data(df, art_sys): ) uncertainties_yaml = {"definitions": error_definition, "bins": error} - with open(STORE_PATH / "uncertainties.yaml", "w", encoding="utf-8") as file: + with open( + STORE_PATH / f"uncertainties_{topology}.yaml", "w", encoding="utf-8" + ) as file: yaml.dump(uncertainties_yaml, file, sort_keys=False) @@ -286,9 +274,10 @@ def write_2jet_data(df, topology, art_sys): if __name__ == "__main__": # load all the data - df, _ = read_1jet_data() - dfs = {"I": df} - for topo in TOPOPLOGY_LIST[1:]: + dfs = {} + for topo in TOPOPLOGY_LIST[:2]: + dfs[topo] = read_1jet_data(topo) + for topo in TOPOPLOGY_LIST[2:]: dfs[topo] = read_2jet_data(topo) # load correlations @@ -314,8 +303,8 @@ def write_2jet_data(df, topology, art_sys): for topo, df in dfs.items(): ndata = ndata_dict[topo] syst = art_sys[cnt : cnt + ndata, :].tolist() - if topo == "I": - write_1jet_data(df, syst) + if topo in ["CC", "CF"]: + write_1jet_data(df, topo, syst) else: write_2jet_data(df, topo, syst) cnt += ndata diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/kinematics.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/kinematics.yaml deleted file mode 100644 index aa80d7522d..0000000000 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/kinematics.yaml +++ /dev/null @@ -1,265 +0,0 @@ -bins: -- abs_eta: - max: 0.5 - mid: 0.25 - min: 0.0 - pT: - max: null - mid: 5.5 - min: null - sqrts: - max: null - mid: 200.0 - min: null -- abs_eta: - max: 0.5 - mid: 0.25 - min: 0.0 - pT: - max: null - mid: 6.49 - min: null - sqrts: - max: null - mid: 200.0 - min: null -- abs_eta: - max: 0.5 - mid: 0.25 - min: 0.0 - pT: - max: null - mid: 8.25 - min: null - sqrts: - max: null - mid: 200.0 - min: null -- abs_eta: - max: 0.5 - mid: 0.25 - min: 0.0 - pT: - max: null - mid: 10.08 - min: null - sqrts: - max: null - mid: 200.0 - min: null -- abs_eta: - max: 0.5 - mid: 0.25 - min: 0.0 - pT: - max: null - mid: 12.26 - min: null - sqrts: - max: null - mid: 200.0 - min: null -- abs_eta: - max: 0.5 - mid: 0.25 - min: 0.0 - pT: - max: null - mid: 14.78 - min: null - sqrts: - max: null - mid: 200.0 - min: null -- abs_eta: - max: 0.5 - mid: 0.25 - min: 0.0 - pT: - max: null - mid: 17.23 - min: null - sqrts: - max: null - mid: 200.0 - min: null -- abs_eta: - max: 0.5 - mid: 0.25 - min: 0.0 - pT: - max: null - mid: 20.56 - min: null - sqrts: - max: null - mid: 200.0 - min: null -- abs_eta: - max: 0.5 - mid: 0.25 - min: 0.0 - pT: - max: null - mid: 23.61 - min: null - sqrts: - max: null - mid: 200.0 - min: null -- abs_eta: - max: 0.5 - mid: 0.25 - min: 0.0 - pT: - max: null - mid: 27.78 - min: null - sqrts: - max: null - mid: 200.0 - min: null -- abs_eta: - max: 0.5 - mid: 0.25 - min: 0.0 - pT: - max: null - mid: 32.46 - min: null - sqrts: - max: null - mid: 200.0 - min: null -- abs_eta: - max: 1.0 - mid: 0.75 - min: 0.5 - pT: - max: null - mid: 5.61 - min: null - sqrts: - max: null - mid: 200.0 - min: null -- abs_eta: - max: 1.0 - mid: 0.75 - min: 0.5 - pT: - max: null - mid: 6.62 - min: null - sqrts: - max: null - mid: 200.0 - min: null -- abs_eta: - max: 1.0 - mid: 0.75 - min: 0.5 - pT: - max: null - mid: 8.48 - min: null - sqrts: - max: null - mid: 200.0 - min: null -- abs_eta: - max: 1.0 - mid: 0.75 - min: 0.5 - pT: - max: null - mid: 10.17 - min: null - sqrts: - max: null - mid: 200.0 - min: null -- abs_eta: - max: 1.0 - mid: 0.75 - min: 0.5 - pT: - max: null - mid: 12.2 - min: null - sqrts: - max: null - mid: 200.0 - min: null -- abs_eta: - max: 1.0 - mid: 0.75 - min: 0.5 - pT: - max: null - mid: 14.57 - min: null - sqrts: - max: null - mid: 200.0 - min: null -- abs_eta: - max: 1.0 - mid: 0.75 - min: 0.5 - pT: - max: null - mid: 16.99 - min: null - sqrts: - max: null - mid: 200.0 - min: null -- abs_eta: - max: 1.0 - mid: 0.75 - min: 0.5 - pT: - max: null - mid: 20.16 - min: null - sqrts: - max: null - mid: 200.0 - min: null -- abs_eta: - max: 1.0 - mid: 0.75 - min: 0.5 - pT: - max: null - mid: 23.35 - min: null - sqrts: - max: null - mid: 200.0 - min: null -- abs_eta: - max: 1.0 - mid: 0.75 - min: 0.5 - pT: - max: null - mid: 27.13 - min: null - sqrts: - max: null - mid: 200.0 - min: null -- abs_eta: - max: 1.0 - mid: 0.75 - min: 0.5 - pT: - max: null - mid: 31.08 - min: null - sqrts: - max: null - mid: 200.0 - min: null diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/kinematics_CC.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/kinematics_CC.yaml new file mode 100644 index 0000000000..fdf857b07d --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/kinematics_CC.yaml @@ -0,0 +1,133 @@ +bins: +- abs_eta: + max: 0.5 + mid: 0.25 + min: 0.0 + pT: + max: 6.29 + mid: 5.5 + min: 4.71 + sqrts: + max: null + mid: 200.0 + min: null +- abs_eta: + max: 0.5 + mid: 0.25 + min: 0.0 + pT: + max: 7.29 + mid: 6.49 + min: 5.69 + sqrts: + max: null + mid: 200.0 + min: null +- abs_eta: + max: 0.5 + mid: 0.25 + min: 0.0 + pT: + max: 8.95 + mid: 8.25 + min: 7.55 + sqrts: + max: null + mid: 200.0 + min: null +- abs_eta: + max: 0.5 + mid: 0.25 + min: 0.0 + pT: + max: 10.75 + mid: 10.08 + min: 9.41 + sqrts: + max: null + mid: 200.0 + min: null +- abs_eta: + max: 0.5 + mid: 0.25 + min: 0.0 + pT: + max: 12.93 + mid: 12.26 + min: 11.59 + sqrts: + max: null + mid: 200.0 + min: null +- abs_eta: + max: 0.5 + mid: 0.25 + min: 0.0 + pT: + max: 15.489999999999998 + mid: 14.78 + min: 14.07 + sqrts: + max: null + mid: 200.0 + min: null +- abs_eta: + max: 0.5 + mid: 0.25 + min: 0.0 + pT: + max: 18.0 + mid: 17.23 + min: 16.46 + sqrts: + max: null + mid: 200.0 + min: null +- abs_eta: + max: 0.5 + mid: 0.25 + min: 0.0 + pT: + max: 21.439999999999998 + mid: 20.56 + min: 19.68 + sqrts: + max: null + mid: 200.0 + min: null +- abs_eta: + max: 0.5 + mid: 0.25 + min: 0.0 + pT: + max: 24.55 + mid: 23.61 + min: 22.669999999999998 + sqrts: + max: null + mid: 200.0 + min: null +- abs_eta: + max: 0.5 + mid: 0.25 + min: 0.0 + pT: + max: 28.76 + mid: 27.78 + min: 26.8 + sqrts: + max: null + mid: 200.0 + min: null +- abs_eta: + max: 0.5 + mid: 0.25 + min: 0.0 + pT: + max: 33.57 + mid: 32.46 + min: 31.35 + sqrts: + max: null + mid: 200.0 + min: null diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/kinematics_CF.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/kinematics_CF.yaml new file mode 100644 index 0000000000..a0c92de0c5 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/kinematics_CF.yaml @@ -0,0 +1,133 @@ +bins: +- abs_eta: + max: 1.0 + mid: 0.75 + min: 0.5 + pT: + max: 6.42 + mid: 5.61 + min: 4.800000000000001 + sqrts: + max: null + mid: 200.0 + min: null +- abs_eta: + max: 1.0 + mid: 0.75 + min: 0.5 + pT: + max: 7.43 + mid: 6.62 + min: 5.8100000000000005 + sqrts: + max: null + mid: 200.0 + min: null +- abs_eta: + max: 1.0 + mid: 0.75 + min: 0.5 + pT: + max: 9.17 + mid: 8.48 + min: 7.790000000000001 + sqrts: + max: null + mid: 200.0 + min: null +- abs_eta: + max: 1.0 + mid: 0.75 + min: 0.5 + pT: + max: 10.82 + mid: 10.17 + min: 9.52 + sqrts: + max: null + mid: 200.0 + min: null +- abs_eta: + max: 1.0 + mid: 0.75 + min: 0.5 + pT: + max: 12.84 + mid: 12.2 + min: 11.559999999999999 + sqrts: + max: null + mid: 200.0 + min: null +- abs_eta: + max: 1.0 + mid: 0.75 + min: 0.5 + pT: + max: 15.18 + mid: 14.57 + min: 13.96 + sqrts: + max: null + mid: 200.0 + min: null +- abs_eta: + max: 1.0 + mid: 0.75 + min: 0.5 + pT: + max: 17.68 + mid: 16.99 + min: 16.299999999999997 + sqrts: + max: null + mid: 200.0 + min: null +- abs_eta: + max: 1.0 + mid: 0.75 + min: 0.5 + pT: + max: 21.06 + mid: 20.16 + min: 19.26 + sqrts: + max: null + mid: 200.0 + min: null +- abs_eta: + max: 1.0 + mid: 0.75 + min: 0.5 + pT: + max: 24.28 + mid: 23.35 + min: 22.42 + sqrts: + max: null + mid: 200.0 + min: null +- abs_eta: + max: 1.0 + mid: 0.75 + min: 0.5 + pT: + max: 28.22 + mid: 27.13 + min: 26.04 + sqrts: + max: null + mid: 200.0 + min: null +- abs_eta: + max: 1.0 + mid: 0.75 + min: 0.5 + pT: + max: 32.16 + mid: 31.08 + min: 30.0 + sqrts: + max: null + mid: 200.0 + min: null diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/metadata.yaml index 709bd799c2..891358614a 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/metadata.yaml @@ -16,12 +16,12 @@ version: 1 version_comment: "Initial implementation" implemented_observables: - - observable: { description: "ALL w.r.t. pT", label: "$A_{LL}$", units: "" } - observable_name: ALL + - observable: { description: "ALL w.r.t. pT, central region", label: "$A_{LL}$", units: "" } + observable_name: CC-ALL process_type: JET_POL - ndata: 22 - tables: [3, 4] - npoints: [11, 10] + ndata: 11 + tables: [3] + npoints: [11] kinematics: variables: pT: @@ -38,10 +38,10 @@ implemented_observables: } abs_eta: { description: "pseudorapidity", label: '$|\eta|$', units: "" } - file: kinematics.yaml - data_central: data.yaml + file: kinematics_CC.yaml + data_central: data_CC.yaml data_uncertainties: - - uncertainties.yaml + - uncertainties_CC.yaml kinematic_coverage: [pT, sqrts, abs_eta] plotting: kinematics_override: identity @@ -51,6 +51,44 @@ implemented_observables: y_label: "$A_{LL}$" theory: FK_tables: - - - STAR_2009_1JET_200GEV_ALL-POL - - - STAR_2009_1JET_200GEV_ALL-UNPOL + - - STAR_2009_1JET_200GEV_CC_ALL-POL + - - STAR_2009_1JET_200GEV_CC_ALL-UNPOL + operation: "ratio" + - observable: { description: "ALL w.r.t. pT, forward region", label: "$A_{LL}$", units: "" } + observable_name: CF-ALL + process_type: JET_POL + ndata: 11 + tables: [4] + npoints: [11] + kinematics: + variables: + pT: + { + description: "mean transverse momentum", + label: '$\langle pT \rangle$', + units: "$GeV$", + } + sqrts: + { + description: "center of mass energy", + label: '$\sqrt{s}$', + units: "$GeV$", + } + abs_eta: { description: "pseudorapidity", label: '$|\eta|$', units: "" } + + file: kinematics_CF.yaml + data_central: data_CF.yaml + data_uncertainties: + - uncertainties_CF.yaml + kinematic_coverage: [pT, sqrts, abs_eta] + plotting: + kinematics_override: identity + dataset_label: "$A_{LL}$" + plot_x: pT + x_scale: log + y_label: "$A_{LL}$" + theory: + FK_tables: + - - STAR_2009_1JET_200GEV_CF_ALL-POL + - - STAR_2009_1JET_200GEV_CF_ALL-UNPOL operation: "ratio" \ No newline at end of file diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/uncertainties_CC.yaml similarity index 58% rename from nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/uncertainties.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/uncertainties_CC.yaml index 91ce9eae20..87e5ac31d1 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/uncertainties_CC.yaml @@ -855,630 +855,3 @@ bins: sys_52: 4.2799381896690266e-07 sys_53: -3.531191147765054e-07 sys_54: 5.71579373781375e-08 -- pol: 0.000117 - lumi: 0.0005 - sys_0: -5.506821027750456e-09 - sys_1: 2.739252211864794e-08 - sys_2: 1.1137868577419495e-06 - sys_3: -1.2992980376070698e-06 - sys_4: -5.087499552713517e-07 - sys_5: 1.058952572342688e-07 - sys_6: 9.605686614058354e-07 - sys_7: -3.6379546498137694e-06 - sys_8: 1.3791167703116183e-07 - sys_9: 3.253049442198996e-06 - sys_10: 6.006400597813714e-07 - sys_11: 3.953712520603916e-07 - sys_12: 1.7681045060450807e-06 - sys_13: -7.639940358036286e-07 - sys_14: 3.4331642908065405e-07 - sys_15: -2.3258421629724617e-06 - sys_16: -2.7971493763970495e-06 - sys_17: 2.65588964002764e-06 - sys_18: -4.157757531814495e-06 - sys_19: 1.7493997308158419e-07 - sys_20: -1.1213394043393006e-06 - sys_21: -9.63882945264967e-06 - sys_22: -5.755520798266188e-06 - sys_23: -3.390650190918901e-06 - sys_24: 8.440681953506727e-07 - sys_25: 1.0938902531043213e-06 - sys_26: 4.623811527778041e-06 - sys_27: 3.722796766152232e-06 - sys_28: 3.4930777311396345e-06 - sys_29: 4.742985147702295e-07 - sys_30: -2.1809632310722423e-06 - sys_31: -6.235986392968818e-06 - sys_32: -1.7686237078010353e-05 - sys_33: 5.726486843199723e-06 - sys_34: -2.056539461722482e-06 - sys_35: -3.2256908598487226e-06 - sys_36: 1.060142703231449e-05 - sys_37: 1.9923449041793833e-05 - sys_38: 3.130718482924489e-06 - sys_39: 9.800093598912354e-06 - sys_40: -2.096099532405574e-05 - sys_41: 9.373740811821575e-06 - sys_42: 7.256731353875657e-06 - sys_43: 2.543380412717439e-07 - sys_44: -2.1714459422880685e-05 - sys_45: 1.6087047736703096e-05 - sys_46: -3.89548504047662e-05 - sys_47: -5.431434246191443e-05 - sys_48: 6.932791109463223e-05 - sys_49: 1.5474831855534645e-05 - sys_50: 0.00037113542494003274 - sys_51: 0.00013359733801602053 - sys_52: -0.001431996473686652 - sys_53: -0.0006691412348854212 - sys_54: 0.00023226151201889545 -- pol: 0.00026000000000000003 - lumi: 0.0005 - sys_0: -1.6713648631843347e-08 - sys_1: 8.507211557487013e-08 - sys_2: 1.9034110932635708e-06 - sys_3: -1.1910558281776848e-06 - sys_4: -2.1058523653469666e-06 - sys_5: 2.9864674166434496e-07 - sys_6: 4.226884208954114e-06 - sys_7: -6.544450063481272e-06 - sys_8: 4.074250963919467e-06 - sys_9: 5.707076639490448e-06 - sys_10: 1.2813744110015189e-06 - sys_11: 2.5559729003532106e-07 - sys_12: 3.7830117987222475e-06 - sys_13: -1.4372090803130597e-06 - sys_14: 1.1976095739202343e-06 - sys_15: -8.649686031399713e-06 - sys_16: -1.087470099546647e-05 - sys_17: 5.074088039905319e-06 - sys_18: -7.961320292181775e-06 - sys_19: 1.890517327436923e-07 - sys_20: -2.1009540827966806e-06 - sys_21: -2.6038125974001887e-05 - sys_22: -1.4481862054348523e-05 - sys_23: -5.720284402087226e-06 - sys_24: 4.289922931660878e-06 - sys_25: 3.5033359259920206e-06 - sys_26: 9.530666773555164e-06 - sys_27: 7.2030923186474694e-06 - sys_28: 7.425554777468945e-06 - sys_29: 3.050579694664354e-07 - sys_30: -2.572204371456083e-06 - sys_31: -1.3321261063110006e-05 - sys_32: -5.32542309620597e-05 - sys_33: 1.5330571680739146e-05 - sys_34: -1.0519058295030789e-05 - sys_35: -8.759016948095886e-06 - sys_36: 2.499441513020369e-05 - sys_37: 3.992095199103468e-05 - sys_38: 1.2844149140967452e-05 - sys_39: 1.8730208964982052e-05 - sys_40: -5.822611659064576e-05 - sys_41: 2.9278247161608315e-05 - sys_42: 1.0723165962028554e-05 - sys_43: 5.481015891147782e-06 - sys_44: -4.895761555351499e-05 - sys_45: 3.465089084961219e-05 - sys_46: -0.00014218771934916492 - sys_47: -0.00027194474632430415 - sys_48: 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-1.3027245771655229e-05 - sys_31: -2.598688762849034e-06 - sys_32: 3.5439631001725985e-06 - sys_33: 2.1177186337386202e-05 - sys_34: -6.166277657691816e-06 - sys_35: 1.0765348093199076e-06 - sys_36: 1.3504894489862046e-06 - sys_37: 1.286873073837209e-07 - sys_38: 4.939571900975254e-07 - sys_39: 1.3572335039632471e-06 - sys_40: -4.508836659606546e-08 - sys_41: 1.4209188941054532e-07 - sys_42: 9.782771840926777e-08 - sys_43: 1.297144033846644e-07 - sys_44: 1.551932706389958e-07 - sys_45: -4.5351409065237435e-07 - sys_46: 2.3119338958952692e-07 - sys_47: 3.2643631158624316e-07 - sys_48: -1.0783881035789849e-07 - sys_49: 1.1462039465248088e-07 - sys_50: 2.5871992270863685e-08 - sys_51: 2.1207512424022603e-07 - sys_52: 1.7347859435983505e-07 - sys_53: -1.3260584191249427e-07 - sys_54: 2.1561410876753635e-08 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/uncertainties_CF.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/uncertainties_CF.yaml new file mode 100644 index 0000000000..76e8bcfbd3 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/uncertainties_CF.yaml @@ -0,0 +1,857 @@ +definitions: + pol: + description: beam polarization uncertainty + treatment: MULT + type: STAR2009POL + lumi: + description: luminosity uncertainty + treatment: ADD + type: STAR2009LUMI + sys_0: + description: 0 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc0 + sys_1: + description: 1 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc1 + sys_2: + description: 2 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc2 + sys_3: + description: 3 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc3 + sys_4: + description: 4 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc4 + sys_5: + description: 5 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc5 + sys_6: + description: 6 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc6 + sys_7: + description: 7 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc7 + sys_8: + description: 8 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc8 + sys_9: + description: 9 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc9 + sys_10: + description: 10 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc10 + sys_11: + description: 11 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc11 + sys_12: + description: 12 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc12 + sys_13: + description: 13 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc13 + sys_14: + description: 14 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc14 + sys_15: + description: 15 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc15 + sys_16: + description: 16 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc16 + sys_17: + description: 17 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc17 + sys_18: + description: 18 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc18 + sys_19: + description: 19 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc19 + sys_20: + description: 20 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc20 + sys_21: + description: 21 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc21 + sys_22: + description: 22 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc22 + sys_23: + description: 23 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc23 + sys_24: + description: 24 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc24 + sys_25: + description: 25 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc25 + sys_26: + description: 26 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc26 + sys_27: + description: 27 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc27 + sys_28: + description: 28 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc28 + sys_29: + description: 29 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc29 + sys_30: + description: 30 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc30 + sys_31: + description: 31 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc31 + sys_32: + description: 32 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc32 + sys_33: + description: 33 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc33 + sys_34: + description: 34 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc34 + sys_35: + description: 35 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc35 + sys_36: + description: 36 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc36 + sys_37: + description: 37 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc37 + sys_38: + description: 38 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc38 + sys_39: + description: 39 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc39 + sys_40: + description: 40 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc40 + sys_41: + description: 41 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc41 + sys_42: + description: 42 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc42 + sys_43: + description: 43 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc43 + sys_44: + description: 44 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc44 + sys_45: + description: 45 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc45 + sys_46: + description: 46 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc46 + sys_47: + description: 47 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc47 + sys_48: + description: 48 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc48 + sys_49: + description: 49 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc49 + sys_50: + description: 50 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc50 + sys_51: + description: 51 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc51 + sys_52: + description: 52 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc52 + sys_53: + description: 53 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc53 + sys_54: + description: 54 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2009JETunc54 +bins: +- pol: 0.000117 + lumi: 0.0005 + sys_0: -5.506821027750456e-09 + sys_1: 2.739252211864794e-08 + sys_2: 1.1137868577419495e-06 + sys_3: -1.2992980376070698e-06 + sys_4: -5.087499552713517e-07 + sys_5: 1.058952572342688e-07 + sys_6: 9.605686614058354e-07 + sys_7: -3.6379546498137694e-06 + sys_8: 1.3791167703116183e-07 + sys_9: 3.253049442198996e-06 + sys_10: 6.006400597813714e-07 + sys_11: 3.953712520603916e-07 + sys_12: 1.7681045060450807e-06 + sys_13: -7.639940358036286e-07 + sys_14: 3.4331642908065405e-07 + sys_15: -2.3258421629724617e-06 + sys_16: -2.7971493763970495e-06 + sys_17: 2.65588964002764e-06 + sys_18: -4.157757531814495e-06 + sys_19: 1.7493997308158419e-07 + sys_20: -1.1213394043393006e-06 + sys_21: -9.63882945264967e-06 + sys_22: -5.755520798266188e-06 + sys_23: -3.390650190918901e-06 + sys_24: 8.440681953506727e-07 + sys_25: 1.0938902531043213e-06 + sys_26: 4.623811527778041e-06 + sys_27: 3.722796766152232e-06 + sys_28: 3.4930777311396345e-06 + sys_29: 4.742985147702295e-07 + sys_30: -2.1809632310722423e-06 + sys_31: -6.235986392968818e-06 + sys_32: -1.7686237078010353e-05 + sys_33: 5.726486843199723e-06 + sys_34: -2.056539461722482e-06 + sys_35: -3.2256908598487226e-06 + sys_36: 1.060142703231449e-05 + sys_37: 1.9923449041793833e-05 + sys_38: 3.130718482924489e-06 + sys_39: 9.800093598912354e-06 + sys_40: -2.096099532405574e-05 + sys_41: 9.373740811821575e-06 + sys_42: 7.256731353875657e-06 + sys_43: 2.543380412717439e-07 + sys_44: 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0000000000..35a7dd4ccc --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/data_CC.yaml @@ -0,0 +1,12 @@ +data_central: +- 0.0002 +- 0.0006 +- 0.0034 +- 0.0041 +- 0.007 +- 0.0045 +- 0.0182 +- 0.022 +- 0.0196 +- 0.0348 +- 0.0515 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/data.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/data_CF.yaml similarity index 56% rename from nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/data.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/data_CF.yaml index 6258c337f7..163cd055e9 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/data.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/data_CF.yaml @@ -1,15 +1,4 @@ data_central: -- 0.0002 -- 0.0006 -- 0.0034 -- 0.0041 -- 0.007 -- 0.0045 -- 0.0182 -- 0.022 -- 0.0196 -- 0.0348 -- 0.0515 - -0.00021 - 0.00091 - 0.00084 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/filter.py b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/filter.py index 968cd66a91..cca3b39e27 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/filter.py +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/filter.py @@ -139,12 +139,12 @@ def read_correlations(ndata_dict): return tot_corr + tot_corr.T - np.eye(np.sum((*ndata_dict.values(),))) -def write_1jet_data(df, art_sys): +def write_1jet_data(df, topology, art_sys): STORE_PATH = HERE # Write central data data_central_yaml = {"data_central": list(df["ALL"])} - with open(STORE_PATH / "data.yaml", "w", encoding="utf-8") as file: + with open(STORE_PATH / f"data_{topology}.yaml", "w", encoding="utf-8") as file: yaml.dump(data_central_yaml, file) # Write kin file @@ -165,7 +165,9 @@ def write_1jet_data(df, art_sys): } kin.append(kin_value) kinematics_yaml = {"bins": kin} - with open(STORE_PATH / "kinematics.yaml", "w", encoding="utf-8") as file: + with open( + STORE_PATH / f"kinematics_{topology}.yaml", "w", encoding="utf-8" + ) as file: yaml.dump(kinematics_yaml, file) # Write unc file @@ -203,7 +205,9 @@ def write_1jet_data(df, art_sys): error.append(e) uncertainties_yaml = {"definitions": error_definition, "bins": error} - with open(STORE_PATH / "uncertainties.yaml", "w", encoding="utf-8") as file: + with open( + STORE_PATH / f"uncertainties_{topology}.yaml", "w", encoding="utf-8" + ) as file: yaml.dump(uncertainties_yaml, file, sort_keys=False) @@ -293,34 +297,30 @@ def write_2jet_data(df, topology, art_sys): ndata_dict = {a: len(b) for a, b in dfs.items()} correlation_df = read_correlations(ndata_dict) - # merge the 1JET topologies - new_dfs = { - "1JET": pd.concat([dfs["CC"], dfs["CF"]], ignore_index=True), - "OS": dfs["OS"], - "SS": dfs["SS"], - } - # from the paper we understand that stat dijet is not correlated # I-I (stat + sys) | I-D (stat + sys) # D-I (stat + sys) | D-D (sys) correlated_unc = np.sqrt( - new_dfs["1JET"]["syst"] ** 2 + new_dfs["1JET"]["stat"] ** 2 + dfs["CC"]["syst"] ** 2 + dfs["CC"]["stat"] ** 2 ).values.tolist() + correlated_unc.extend( + np.sqrt(dfs["CF"]["syst"] ** 2 + dfs["CF"]["stat"] ** 2).values.tolist() + ) for a in (*TOPOPLOGY_LIST,)[2:]: - correlated_unc.extend(new_dfs[a]["syst"].values) + correlated_unc.extend(dfs[a]["syst"].values) # decompose uncertainties - ndata_dict = {a: len(b) for a, b in new_dfs.items()} + ndata_dict = {a: len(b) for a, b in dfs.items()} ndata_points = np.sum((*ndata_dict.values(),)) art_sys = np.array(compute_covmat(correlation_df, correlated_unc, ndata_points)) # write data cnt = 0 - for topo, df in new_dfs.items(): + for topo, df in dfs.items(): ndata = ndata_dict[topo] syst = art_sys[cnt : cnt + ndata, :].tolist() - if topo == "1JET": - write_1jet_data(df, syst) + if "C" in topo: + write_1jet_data(df, topo, syst) else: write_2jet_data(df, topo, syst) cnt += ndata diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/kinematics.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/kinematics_CC.yaml similarity index 50% rename from nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/kinematics.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/kinematics_CC.yaml index a4781fd3fd..978f9b6214 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/kinematics.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/kinematics_CC.yaml @@ -131,135 +131,3 @@ bins: max: null mid: 200.0 min: null -- abs_eta: - max: 1.0 - mid: 0.75 - min: 0.5 - pT: - max: 6.340000000000001 - mid: 6.15 - min: 5.96 - sqrts: - max: null - mid: 200.0 - min: null -- abs_eta: - max: 1.0 - mid: 0.75 - min: 0.5 - pT: - max: 7.54 - mid: 7.34 - min: 7.14 - sqrts: - max: null - mid: 200.0 - min: null -- abs_eta: - max: 1.0 - mid: 0.75 - min: 0.5 - pT: - max: 9.78 - mid: 9.5 - min: 9.22 - sqrts: - max: null - mid: 200.0 - min: null -- abs_eta: - max: 1.0 - mid: 0.75 - min: 0.5 - pT: - max: 11.62 - mid: 11.34 - min: 11.06 - sqrts: - max: null - mid: 200.0 - min: null -- abs_eta: - max: 1.0 - mid: 0.75 - min: 0.5 - pT: - max: 13.56 - mid: 13.25 - min: 12.94 - sqrts: - max: null - mid: 200.0 - min: null -- abs_eta: - max: 1.0 - mid: 0.75 - min: 0.5 - pT: - max: 15.83 - mid: 15.47 - min: 15.110000000000001 - sqrts: - max: null - mid: 200.0 - min: null -- abs_eta: - max: 1.0 - mid: 0.75 - min: 0.5 - pT: - max: 18.44 - mid: 18.07 - min: 17.7 - sqrts: - max: null - mid: 200.0 - min: null -- abs_eta: - max: 1.0 - mid: 0.75 - min: 0.5 - pT: - max: 21.57 - mid: 21.16 - min: 20.75 - sqrts: - max: null - mid: 200.0 - min: null -- abs_eta: - max: 1.0 - mid: 0.75 - min: 0.5 - pT: - max: 25.16 - mid: 24.68 - min: 24.2 - sqrts: - max: null - mid: 200.0 - min: null -- abs_eta: - max: 1.0 - mid: 0.75 - min: 0.5 - pT: - max: 29.09 - mid: 28.56 - min: 28.029999999999998 - sqrts: - max: null - mid: 200.0 - min: null -- abs_eta: - max: 1.0 - mid: 0.75 - min: 0.5 - pT: - max: 33.5 - mid: 32.9 - min: 32.3 - sqrts: - max: null - mid: 200.0 - min: null diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/kinematics_CF.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/kinematics_CF.yaml new file mode 100644 index 0000000000..9cc95b9f2a --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/kinematics_CF.yaml @@ -0,0 +1,133 @@ +bins: +- abs_eta: + max: 1.0 + mid: 0.75 + min: 0.5 + pT: + max: 6.340000000000001 + mid: 6.15 + min: 5.96 + sqrts: + max: null + mid: 200.0 + min: null +- abs_eta: + max: 1.0 + mid: 0.75 + min: 0.5 + pT: + max: 7.54 + mid: 7.34 + min: 7.14 + sqrts: + max: null + mid: 200.0 + min: null +- abs_eta: + max: 1.0 + mid: 0.75 + min: 0.5 + pT: + max: 9.78 + mid: 9.5 + min: 9.22 + sqrts: + max: null + mid: 200.0 + min: null +- abs_eta: + max: 1.0 + mid: 0.75 + min: 0.5 + pT: + max: 11.62 + mid: 11.34 + min: 11.06 + sqrts: + max: null + mid: 200.0 + min: null +- abs_eta: + max: 1.0 + mid: 0.75 + min: 0.5 + pT: + max: 13.56 + mid: 13.25 + min: 12.94 + sqrts: + max: null + mid: 200.0 + min: null +- abs_eta: + max: 1.0 + mid: 0.75 + min: 0.5 + pT: + max: 15.83 + mid: 15.47 + min: 15.110000000000001 + sqrts: + max: null + mid: 200.0 + min: null +- abs_eta: + max: 1.0 + mid: 0.75 + min: 0.5 + pT: + max: 18.44 + mid: 18.07 + min: 17.7 + sqrts: + max: null + mid: 200.0 + min: null +- abs_eta: + max: 1.0 + mid: 0.75 + min: 0.5 + pT: + max: 21.57 + mid: 21.16 + min: 20.75 + sqrts: + max: null + mid: 200.0 + min: null +- abs_eta: + max: 1.0 + mid: 0.75 + min: 0.5 + pT: + max: 25.16 + mid: 24.68 + min: 24.2 + sqrts: + max: null + mid: 200.0 + min: null +- abs_eta: + max: 1.0 + mid: 0.75 + min: 0.5 + pT: + max: 29.09 + mid: 28.56 + min: 28.029999999999998 + sqrts: + max: null + mid: 200.0 + min: null +- abs_eta: + max: 1.0 + mid: 0.75 + min: 0.5 + pT: + max: 33.5 + mid: 32.9 + min: 32.3 + sqrts: + max: null + mid: 200.0 + min: null diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/metadata.yaml index 3f63fe84f9..53df4a3e9c 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/metadata.yaml @@ -16,10 +16,10 @@ version: 1 version_comment: "Initial implementation" implemented_observables: - - observable: { description: "$A_{LL}$ as function of $p_T$", label: "$A_{LL}$", units: "" } - observable_name: ALL + - observable: { description: "$A_{LL}$ as function of $p_T$, central region", label: "$A_{LL}$", units: "" } + observable_name: CC-ALL process_type: JET_POL - ndata: 22 + ndata: 11 tables: [1] kinematics: variables: @@ -36,10 +36,10 @@ implemented_observables: units: "$GeV$", } abs_eta: {description: "absolute pseudorapidity", label: '$|\eta|$', units: "" } - file: kinematics.yaml - data_central: data.yaml + file: kinematics_CC.yaml + data_central: data_CC.yaml data_uncertainties: - - uncertainties.yaml + - uncertainties_CC.yaml kinematic_coverage: [pT, sqrts, abs_eta] plotting: dataset_label: "STAR 200 GeV (2015) 1-JET $A_{LL}$" @@ -49,6 +49,42 @@ implemented_observables: y_label: "$A_{LL}$" theory: FK_tables: - - - STAR_2015_1JET_200GEV_ALL-POL - - - STAR_2015_1JET_200GEV_ALL-UNPOL + - - STAR_2015_1JET_200GEV_CC_ALL-POL + - - STAR_2015_1JET_200GEV_CC_ALL-UNPOL + operation: "ratio" + - observable: { description: "$A_{LL}$ as function of $p_T$, forward region", label: "$A_{LL}$", units: "" } + observable_name: CF-ALL + process_type: JET_POL + ndata: 11 + tables: [1] + kinematics: + variables: + pT: + { + description: "mean transverse momentum", + label: '$\langle pT \rangle$', + units: "$GeV$", + } + sqrts: + { + description: "center of mass energy", + label: '$\sqrt{s}$', + units: "$GeV$", + } + abs_eta: {description: "absolute pseudorapidity", label: '$|\eta|$', units: "" } + file: kinematics_CF.yaml + data_central: data_CF.yaml + data_uncertainties: + - uncertainties_CF.yaml + kinematic_coverage: [pT, sqrts, abs_eta] + plotting: + dataset_label: "STAR 200 GeV (2015) 1-JET $A_{LL}$" + kinematics_override: identity + plot_x: pT + x_scale: log + y_label: "$A_{LL}$" + theory: + FK_tables: + - - STAR_2015_1JET_200GEV_CF_ALL-POL + - - STAR_2015_1JET_200GEV_CF_ALL-UNPOL operation: "ratio" \ No newline at end of file diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/uncertainties_CC.yaml similarity index 58% rename from nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/uncertainties.yaml rename to nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/uncertainties_CC.yaml index 76b929492c..9746ba001b 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/uncertainties_CC.yaml @@ -570,421 +570,3 @@ bins: sys_33: -2.600280551946243e-07 sys_34: 1.5749262377752516e-07 sys_35: 7.212885582617392e-07 -- lumi: 0.0007 - pol: 1.2810000000000001e-05 - sys_0: -5.723798549241382e-06 - sys_1: 9.519767702735362e-06 - sys_2: -1.27072652067246e-05 - sys_3: 1.644997190275843e-05 - sys_4: 1.9994450624172802e-05 - sys_5: -2.632354840093173e-05 - sys_6: -2.2318871892027695e-05 - sys_7: 3.72398800840353e-05 - sys_8: -4.2630941829004675e-05 - sys_9: -6.057863663567793e-05 - sys_10: -8.001652158350923e-06 - sys_11: -3.2642632373632507e-06 - sys_12: 8.533534195269332e-05 - sys_13: -0.0004277674166870059 - sys_14: -2.7611330881578593e-05 - sys_15: -0.0003390017721095608 - sys_16: -2.0320315927141983e-05 - sys_17: 0.0016407757690328712 - sys_18: 6.098346357525486e-05 - sys_19: 0.00017384758602892485 - sys_20: 4.4973181820176277e-05 - sys_21: 8.909162817025716e-06 - sys_22: -7.934387314981106e-05 - sys_23: 7.1143033483730245e-06 - sys_24: 8.033630691741578e-08 - sys_25: -7.32144473887315e-07 - sys_26: 2.0219124375336923e-07 - sys_27: 6.610808422489686e-07 - sys_28: 1.1275379466447069e-06 - sys_29: 3.4924261898678003e-07 - sys_30: 1.1062164135169474e-06 - sys_31: -1.5133763420764584e-07 - sys_32: -8.053200363789194e-07 - sys_33: -4.90672716722918e-07 - sys_34: -3.1959478982973937e-07 - sys_35: -8.284104652471781e-07 -- lumi: 0.0007 - pol: 5.5509999999999995e-05 - sys_0: -6.372141793123253e-06 - sys_1: 1.0618676135602555e-05 - sys_2: -1.4184286764078104e-05 - sys_3: 1.8479492775187063e-05 - sys_4: 2.2524228215963095e-05 - sys_5: -3.200586916275156e-05 - sys_6: -2.535449986267579e-05 - sys_7: 4.819449988222994e-05 - sys_8: -4.731217279217028e-05 - sys_9: -8.194342606282463e-05 - sys_10: -1.3006684464861885e-05 - sys_11: -7.783888352659517e-06 - sys_12: 0.00010236605803679663 - sys_13: -0.0017634478264169952 - sys_14: 0.00047661673441615286 - sys_15: 0.0005636869641451459 - sys_16: 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sys_26: 6.5253797213655835e-06 - sys_27: 7.2716833998160356e-06 - sys_28: -1.167977484149494e-06 - sys_29: -1.732919308587867e-05 - sys_30: -1.897945865857099e-05 - sys_31: 8.882787803886751e-06 - sys_32: 2.1906878292371648e-05 - sys_33: 1.2251701674935625e-05 - sys_34: 6.492627009709344e-06 - sys_35: 2.0707330919804266e-07 -- lumi: 0.0007 - pol: 0.00013054 - sys_0: -1.1173338612528268e-05 - sys_1: 1.961048432764371e-05 - sys_2: -2.6857840121337563e-05 - sys_3: 3.827487028139256e-05 - sys_4: 4.423429497699072e-05 - sys_5: -7.10835135376822e-05 - sys_6: -5.804547432492576e-05 - sys_7: 0.00013099731385319508 - sys_8: -0.00012009894999786713 - sys_9: -0.00024074952266885276 - sys_10: -1.8946634684933544e-05 - sys_11: 0.00026277941797479566 - sys_12: 0.0024898629582047398 - sys_13: 0.00015053920196656382 - sys_14: 9.009166692239752e-05 - sys_15: 5.598923454193317e-05 - sys_16: 6.644410836538592e-07 - sys_17: -3.051011577300578e-05 - sys_18: 1.5909807367107793e-05 - sys_19: 4.394613588449434e-05 - sys_20: -9.703472601878044e-06 - sys_21: -9.375425380699124e-06 - sys_22: -1.573550044196328e-05 - sys_23: -9.354398070085112e-07 - sys_24: 5.202629627946813e-06 - sys_25: 3.978999539442078e-06 - sys_26: -1.5312978144700048e-07 - sys_27: 2.319759788198445e-06 - sys_28: -3.9434812777693575e-07 - sys_29: -1.061196220349803e-05 - sys_30: -1.734587290005614e-05 - sys_31: -1.5872453013705548e-06 - sys_32: 1.6110657786305862e-05 - sys_33: 7.5336045442300225e-06 - sys_34: 2.312309112345567e-07 - sys_35: 1.7638210086536075e-05 -- lumi: 0.0007 - pol: 0.0006960099999999999 - sys_0: -2.0570477258499703e-05 - sys_1: 3.341772185543097e-05 - sys_2: -4.488134242205468e-05 - sys_3: 7.22681155104189e-05 - sys_4: 8.428751847512784e-05 - sys_5: -0.00015035175726757814 - sys_6: -0.00014032270065812076 - sys_7: 0.0004909773533299127 - sys_8: -0.0036733421851369553 - sys_9: 0.00036381342231595585 - sys_10: 1.3348584069672862e-05 - sys_11: -6.974736507622733e-05 - sys_12: -7.371754299826048e-05 - sys_13: 4.047775663451585e-05 - sys_14: 3.4885670181742874e-05 - sys_15: 1.4465339796665258e-05 - sys_16: -3.801663085638533e-06 - sys_17: -8.639701572455416e-06 - sys_18: 4.456353015520969e-06 - sys_19: 1.730238504189686e-05 - sys_20: -4.011759591760285e-06 - sys_21: -3.1631855119091223e-06 - sys_22: -6.185519073959061e-06 - sys_23: 1.245418363665137e-06 - sys_24: 5.294298985790313e-07 - sys_25: 5.266954740378881e-06 - sys_26: -1.726263437096537e-05 - sys_27: 6.187112214650839e-07 - sys_28: -3.8017252558901683e-08 - sys_29: -4.2056012726145e-06 - sys_30: -9.273956450873987e-06 - sys_31: -3.103297218051952e-06 - sys_32: 7.905027522387452e-06 - sys_33: 8.596633620516164e-07 - sys_34: 3.3544762057573375e-06 - sys_35: 2.0748792722128864e-05 -- lumi: 0.0007 - pol: 0.0007490799999999998 - sys_0: -3.9270091634046984e-05 - sys_1: 6.762426798557228e-05 - sys_2: -9.500115401585762e-05 - sys_3: 0.0001662493026874323 - sys_4: 0.00019577391518242832 - sys_5: -0.0005527239075405148 - sys_6: -0.005787339783879519 - sys_7: -0.0003291436064018835 - sys_8: 7.9715504437287e-05 - sys_9: 5.196184260405605e-05 - sys_10: -9.071300747263605e-06 - sys_11: -3.090027435064376e-05 - sys_12: -1.7970112796281185e-05 - sys_13: 1.257774097644203e-05 - sys_14: 1.2891741243680123e-05 - sys_15: 3.790665350033791e-06 - sys_16: -5.334687433741325e-06 - sys_17: -2.602020350710531e-06 - sys_18: 4.673871765122919e-07 - sys_19: 5.694380849225215e-06 - sys_20: -3.966105567460375e-06 - sys_21: 1.1939821588358355e-05 - sys_22: -2.1653567459781225e-06 - sys_23: 1.3835788480325806e-06 - sys_24: -1.1651780799108517e-05 - sys_25: 4.762033406450536e-06 - sys_26: -2.106017222490476e-05 - sys_27: 1.0992940599145931e-07 - sys_28: -3.685732864672071e-08 - sys_29: -1.1294030581324042e-06 - sys_30: -3.2313713108649985e-06 - sys_31: -1.5396443288702672e-06 - sys_32: 2.8048026529708955e-06 - sys_33: -1.8827213363243646e-06 - sys_34: 2.5310937188896434e-06 - sys_35: 1.150124798434345e-05 -- lumi: 0.0007 - pol: 0.00125477 - sys_0: -0.00012846028769728705 - sys_1: 0.00024121601804400018 - sys_2: -0.00028844090043889206 - sys_3: 0.000780111286063014 - sys_4: 0.009898436613552393 - sys_5: 0.0004935543718898396 - sys_6: 0.00010386817101403044 - sys_7: -9.167202186926916e-05 - sys_8: 2.2582675908010654e-05 - sys_9: 1.7200050606279436e-05 - sys_10: 6.836457209030393e-07 - sys_11: -1.1588837804131314e-05 - sys_12: -6.839193616171013e-06 - sys_13: 6.127247541066035e-06 - sys_14: 4.221107056119776e-06 - sys_15: 1.4035227890297118e-06 - sys_16: 1.1759645112985e-05 - sys_17: -1.3338070869878688e-06 - sys_18: 5.046758544620424e-07 - sys_19: 3.0722205555238464e-06 - sys_20: -3.3134351610932586e-06 - sys_21: 1.5240802137157633e-05 - sys_22: -1.0825592731625422e-06 - sys_23: 3.3108811101596833e-07 - sys_24: -1.1424237646379552e-05 - sys_25: 2.1585670926564683e-06 - sys_26: -1.0711594484378511e-05 - sys_27: 6.34734219026506e-08 - sys_28: 2.293966660774329e-08 - sys_29: -2.5544186962040734e-07 - sys_30: -8.338288303039944e-07 - sys_31: -4.327988593710119e-07 - sys_32: 7.24260008558855e-07 - sys_33: -8.843570008920012e-07 - sys_34: 9.058648750522456e-07 - sys_35: 3.6552706483788882e-06 -- lumi: 0.0007 - pol: 0.00324154 - sys_0: -0.00041642847232082193 - sys_1: 0.001228477045927712 - sys_2: -0.017984095958256955 - sys_3: -0.0007360631397773987 - sys_4: -0.000145079851599146 - sys_5: 0.00012006984608663869 - sys_6: 2.184301540141452e-05 - sys_7: -2.4831690234329294e-05 - sys_8: 5.1918270718514964e-06 - sys_9: 3.84878714877754e-06 - sys_10: 2.576545214332644e-05 - sys_11: -3.4611519334290366e-06 - sys_12: -1.8594916499137197e-06 - sys_13: 2.224770110601432e-06 - sys_14: 6.940063138912486e-07 - sys_15: -7.560076394771358e-07 - sys_16: 2.3530771454710507e-05 - sys_17: -3.7415529231577963e-07 - sys_18: 3.0899986960582473e-09 - sys_19: 1.0943891127096202e-06 - sys_20: -1.6122851571435984e-06 - sys_21: 7.987794880083938e-06 - sys_22: -3.0848608135041213e-07 - sys_23: 1.3706560708502834e-07 - sys_24: -4.0899319930511726e-06 - sys_25: 6.285945057008323e-07 - sys_26: -3.1341958127798396e-06 - sys_27: 1.9851362578434293e-08 - sys_28: 1.5068021914064514e-08 - sys_29: -5.747155554964179e-08 - sys_30: -1.5845632379524562e-07 - sys_31: -6.850732474972011e-08 - sys_32: 1.448615014789753e-07 - sys_33: -2.397396013195239e-07 - sys_34: 2.2429290663413933e-07 - sys_35: 8.388911008785556e-07 -- lumi: 0.0007 - pol: 0.0014127599999999999 - sys_0: -0.03571864759170568 - sys_1: -0.001080992033376142 - sys_2: 0.00018610101689361095 - sys_3: -0.00015040075674074282 - sys_4: -2.6378230907067315e-05 - sys_5: 3.0231889282988006e-05 - sys_6: 2.787184417984091e-06 - sys_7: -4.492274135760221e-06 - sys_8: 9.29962514891808e-07 - sys_9: 3.631478704234014e-07 - sys_10: 2.4865567312126407e-05 - sys_11: -6.746235040401152e-07 - sys_12: -1.4975656378205749e-07 - sys_13: 5.311166437395012e-07 - sys_14: -2.0200150365243552e-08 - sys_15: -5.655524528239408e-07 - sys_16: 1.2381300895363607e-05 - sys_17: -5.287914177308551e-09 - sys_18: -1.6072814892748094e-08 - sys_19: 1.7636828330887583e-07 - sys_20: -3.894465099004591e-07 - sys_21: 1.9267455069348866e-06 - sys_22: -3.821343467030204e-08 - sys_23: 5.381873651840064e-08 - sys_24: -8.879441814499932e-07 - sys_25: 1.4196241157476987e-07 - sys_26: -5.824431659379597e-07 - sys_27: 1.6939561943101997e-09 - sys_28: 8.080215964499047e-10 - sys_29: 4.575466710839537e-10 - sys_30: -9.125797282529653e-09 - sys_31: -1.1001177784459176e-08 - sys_32: 1.4892114042624068e-08 - sys_33: -4.7218640493053443e-08 - sys_34: 2.8007774467043292e-08 - sys_35: 1.3924274174491083e-07 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/uncertainties_CF.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/uncertainties_CF.yaml new file mode 100644 index 0000000000..7d81bc7c92 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/uncertainties_CF.yaml @@ -0,0 +1,572 @@ +definitions: + lumi: + description: luminosity uncertainty + treatment: ADD + type: STAR2015LUMI + pol: + description: beam polarization uncertainty + treatment: MULT + type: STAR2015POL + sys_0: + description: 0 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015JETunc0 + sys_1: + description: 1 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015JETunc1 + sys_2: + description: 2 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015JETunc2 + sys_3: + description: 3 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015JETunc3 + sys_4: + description: 4 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015JETunc4 + sys_5: + description: 5 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015JETunc5 + sys_6: + description: 6 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015JETunc6 + sys_7: + description: 7 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015JETunc7 + sys_8: + description: 8 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015JETunc8 + sys_9: + description: 9 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015JETunc9 + sys_10: + description: 10 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015JETunc10 + sys_11: + description: 11 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015JETunc11 + sys_12: + description: 12 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015JETunc12 + sys_13: + description: 13 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015JETunc13 + sys_14: + description: 14 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015JETunc14 + sys_15: + description: 15 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015JETunc15 + sys_16: + description: 16 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015JETunc16 + sys_17: + description: 17 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015JETunc17 + sys_18: + description: 18 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015JETunc18 + sys_19: + description: 19 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015JETunc19 + sys_20: + description: 20 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015JETunc20 + sys_21: + description: 21 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015JETunc21 + sys_22: + description: 22 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015JETunc22 + sys_23: + description: 23 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015JETunc23 + sys_24: + description: 24 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015JETunc24 + sys_25: + description: 25 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015JETunc25 + sys_26: + description: 26 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015JETunc26 + sys_27: + description: 27 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015JETunc27 + sys_28: + description: 28 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015JETunc28 + sys_29: + description: 29 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015JETunc29 + sys_30: + description: 30 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015JETunc30 + sys_31: + description: 31 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015JETunc31 + sys_32: + description: 32 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015JETunc32 + sys_33: + description: 33 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015JETunc33 + sys_34: + description: 34 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015JETunc34 + sys_35: + description: 35 artificial correlated statistical + systematics uncertainty + treatment: ADD + type: STAR2015JETunc35 +bins: +- lumi: 0.0007 + pol: 1.2810000000000001e-05 + sys_0: -5.723798549241382e-06 + sys_1: 9.519767702735362e-06 + sys_2: -1.27072652067246e-05 + sys_3: 1.644997190275843e-05 + sys_4: 1.9994450624172802e-05 + sys_5: -2.632354840093173e-05 + sys_6: -2.2318871892027695e-05 + sys_7: 3.72398800840353e-05 + sys_8: -4.2630941829004675e-05 + sys_9: -6.057863663567793e-05 + sys_10: -8.001652158350923e-06 + sys_11: -3.2642632373632507e-06 + sys_12: 8.533534195269332e-05 + sys_13: -0.0004277674166870059 + sys_14: -2.7611330881578593e-05 + sys_15: -0.0003390017721095608 + sys_16: -2.0320315927141983e-05 + sys_17: 0.0016407757690328712 + sys_18: 6.098346357525486e-05 + sys_19: 0.00017384758602892485 + sys_20: 4.4973181820176277e-05 + sys_21: 8.909162817025716e-06 + sys_22: -7.934387314981106e-05 + sys_23: 7.1143033483730245e-06 + sys_24: 8.033630691741578e-08 + sys_25: -7.32144473887315e-07 + sys_26: 2.0219124375336923e-07 + sys_27: 6.610808422489686e-07 + sys_28: 1.1275379466447069e-06 + sys_29: 3.4924261898678003e-07 + sys_30: 1.1062164135169474e-06 + sys_31: -1.5133763420764584e-07 + sys_32: -8.053200363789194e-07 + sys_33: -4.90672716722918e-07 + sys_34: -3.1959478982973937e-07 + sys_35: -8.284104652471781e-07 +- lumi: 0.0007 + pol: 5.5509999999999995e-05 + sys_0: -6.372141793123253e-06 + sys_1: 1.0618676135602555e-05 + sys_2: -1.4184286764078104e-05 + sys_3: 1.8479492775187063e-05 + sys_4: 2.2524228215963095e-05 + sys_5: -3.200586916275156e-05 + sys_6: -2.535449986267579e-05 + sys_7: 4.819449988222994e-05 + sys_8: -4.731217279217028e-05 + sys_9: -8.194342606282463e-05 + sys_10: -1.3006684464861885e-05 + sys_11: -7.783888352659517e-06 + sys_12: 0.00010236605803679663 + sys_13: -0.0017634478264169952 + sys_14: 0.00047661673441615286 + sys_15: 0.0005636869641451459 + sys_16: 7.692613165927452e-05 + sys_17: -0.0002709178665406462 + sys_18: 2.6371182356266682e-05 + sys_19: 8.903468743885134e-05 + sys_20: 2.005562973603945e-05 + sys_21: 5.320298162102335e-06 + sys_22: -4.570200011197228e-05 + sys_23: 1.331123135988826e-06 + sys_24: -4.104652287413699e-07 + sys_25: -1.1929944695884922e-06 + sys_26: -8.704030432849297e-07 + sys_27: 1.95632234495303e-06 + sys_28: 1.3079033836238665e-06 + sys_29: -5.904124306285026e-07 + sys_30: 2.0851819903867676e-07 + sys_31: 1.1691425940751865e-06 + sys_32: -8.000986598349984e-08 + sys_33: 2.3060710759818616e-06 + sys_34: 4.07222628215677e-06 + sys_35: -9.638148723929519e-07 +- lumi: 0.0007 + pol: 5.1240000000000004e-05 + sys_0: -6.883019370244076e-06 + sys_1: 1.1003558621330908e-05 + sys_2: -1.4444661657173362e-05 + sys_3: 1.971365836321765e-05 + sys_4: 2.211832997325646e-05 + sys_5: -3.1889055873336976e-05 + sys_6: -2.4390766319116828e-05 + sys_7: 4.366487282278594e-05 + sys_8: -4.0987628689789416e-05 + sys_9: -6.142923084134423e-05 + sys_10: -8.016005781452263e-06 + sys_11: -4.379055814367362e-07 + sys_12: 6.0042067767847864e-05 + sys_13: -0.0001544258243380365 + sys_14: -2.624948279754923e-05 + sys_15: -8.257685001356346e-05 + sys_16: -6.823523944042364e-06 + sys_17: 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-1.5845632379524562e-07 + sys_31: -6.850732474972011e-08 + sys_32: 1.448615014789753e-07 + sys_33: -2.397396013195239e-07 + sys_34: 2.2429290663413933e-07 + sys_35: 8.388911008785556e-07 +- lumi: 0.0007 + pol: 0.0014127599999999999 + sys_0: -0.03571864759170568 + sys_1: -0.001080992033376142 + sys_2: 0.00018610101689361095 + sys_3: -0.00015040075674074282 + sys_4: -2.6378230907067315e-05 + sys_5: 3.0231889282988006e-05 + sys_6: 2.787184417984091e-06 + sys_7: -4.492274135760221e-06 + sys_8: 9.29962514891808e-07 + sys_9: 3.631478704234014e-07 + sys_10: 2.4865567312126407e-05 + sys_11: -6.746235040401152e-07 + sys_12: -1.4975656378205749e-07 + sys_13: 5.311166437395012e-07 + sys_14: -2.0200150365243552e-08 + sys_15: -5.655524528239408e-07 + sys_16: 1.2381300895363607e-05 + sys_17: -5.287914177308551e-09 + sys_18: -1.6072814892748094e-08 + sys_19: 1.7636828330887583e-07 + sys_20: -3.894465099004591e-07 + sys_21: 1.9267455069348866e-06 + sys_22: -3.821343467030204e-08 + sys_23: 5.381873651840064e-08 + sys_24: -8.879441814499932e-07 + sys_25: 1.4196241157476987e-07 + sys_26: -5.824431659379597e-07 + sys_27: 1.6939561943101997e-09 + sys_28: 8.080215964499047e-10 + sys_29: 4.575466710839537e-10 + sys_30: -9.125797282529653e-09 + sys_31: -1.1001177784459176e-08 + sys_32: 1.4892114042624068e-08 + sys_33: -4.7218640493053443e-08 + sys_34: 2.8007774467043292e-08 + sys_35: 1.3924274174491083e-07 From d7f950750c1bd2287e27c7e6babc086393950217 Mon Sep 17 00:00:00 2001 From: giacomomagni Date: Tue, 18 Jun 2024 15:49:45 +0200 Subject: [PATCH 55/70] fix fktables names --- .../new_commondata/STAR_2009_1JET_200GEV/metadata.yaml | 8 ++++---- .../new_commondata/STAR_2009_2JET_200GEV/metadata.yaml | 6 +++--- .../STAR_2009_2JET_MIDRAP_200GEV/metadata.yaml | 4 ++-- .../new_commondata/STAR_2012_2JET_510GEV/metadata.yaml | 8 ++++---- .../new_commondata/STAR_2013_2JET_510GEV/metadata.yaml | 8 ++++---- .../new_commondata/STAR_2015_1JET_200GEV/metadata.yaml | 8 ++++---- .../STAR_2015_2JET_MIDRAP_200GEV/metadata.yaml | 4 ++-- 7 files changed, 23 insertions(+), 23 deletions(-) diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/metadata.yaml index 891358614a..c844d16563 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/metadata.yaml @@ -51,8 +51,8 @@ implemented_observables: y_label: "$A_{LL}$" theory: FK_tables: - - - STAR_2009_1JET_200GEV_CC_ALL-POL - - - STAR_2009_1JET_200GEV_CC_ALL-UNPOL + - - STAR_2009_1JET_200GEV_CC-ALL-POL + - - STAR_2009_1JET_200GEV_CC-ALL-UNPOL operation: "ratio" - observable: { description: "ALL w.r.t. pT, forward region", label: "$A_{LL}$", units: "" } observable_name: CF-ALL @@ -89,6 +89,6 @@ implemented_observables: y_label: "$A_{LL}$" theory: FK_tables: - - - STAR_2009_1JET_200GEV_CF_ALL-POL - - - STAR_2009_1JET_200GEV_CF_ALL-UNPOL + - - STAR_2009_1JET_200GEV_CF-ALL-POL + - - STAR_2009_1JET_200GEV_CF-ALL-UNPOL operation: "ratio" \ No newline at end of file diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/metadata.yaml index 74a50745a1..cd27814819 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/metadata.yaml @@ -48,7 +48,7 @@ implemented_observables: y_label: "$A_{LL}$" theory: FK_tables: - - - STAR_2009_2JET_200GEV_A_ALL + - - STAR_2009_2JET_200GEV_A-ALL - observable: { description: "ALL as function of $M_{inv}$, topology B", @@ -81,7 +81,7 @@ implemented_observables: y_label: "$A_{LL}$" theory: FK_tables: - - - STAR_2009_2JET_200GEV_B_ALL + - - STAR_2009_2JET_200GEV_B-ALL - observable: { description: "ALL as function of $M_{inv}$, topology C", @@ -114,4 +114,4 @@ implemented_observables: y_label: "$A_{LL}$" theory: FK_tables: - - - STAR_2009_2JET_200GEV_C_ALL \ No newline at end of file + - - STAR_2009_2JET_200GEV_C-ALL \ No newline at end of file diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/metadata.yaml index 2393f73207..850913615d 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/metadata.yaml @@ -48,7 +48,7 @@ implemented_observables: y_label: "$A_{LL}$" theory: FK_tables: - - - STAR_2009_2JET_MIDRAP_200GEV_OS_ALL + - - STAR_2009_2JET_MIDRAP_200GEV_OS-ALL - observable: { description: "ALL as function of $M_{inv}$, SS", @@ -81,4 +81,4 @@ implemented_observables: y_label: "$A_{LL}$" theory: FK_tables: - - - STAR_2009_2JET_MIDRAP_200GEV_SS_ALL + - - STAR_2009_2JET_MIDRAP_200GEV_SS-ALL diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/metadata.yaml index cc64232cd0..ad29bd355b 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/metadata.yaml @@ -39,7 +39,7 @@ implemented_observables: y_label: "$A_{LL}$" theory: FK_tables: - - - STAR_2012_2JET_510GEV_A_ALL + - - STAR_2012_2JET_510GEV_A-ALL - observable: { description: "ALL as function of $M_{inv}$, topology B", label: "$A_{LL}$", units: "" } observable_name: B-ALL process_type: DIJET_POL @@ -62,7 +62,7 @@ implemented_observables: y_label: "$A_{LL}$" theory: FK_tables: - - - STAR_2012_2JET_510GEV_B_ALL + - - STAR_2012_2JET_510GEV_B-ALL - observable: { description: "ALL as function of $M_{inv}$, topology C", label: "$A_{LL}$", units: "" } observable_name: C-ALL process_type: DIJET_POL @@ -85,7 +85,7 @@ implemented_observables: y_label: "$A_{LL}$" theory: FK_tables: - - - STAR_2012_2JET_510GEV_C_ALL + - - STAR_2012_2JET_510GEV_C-ALL - observable: { description: "ALL as function of $M_{inv}$, topology D", label: "$A_{LL}$", units: "" } observable_name: D-ALL process_type: DIJET_POL @@ -108,4 +108,4 @@ implemented_observables: y_label: "$A_{LL}$" theory: FK_tables: - - - STAR_2012_2JET_510GEV_D_ALL \ No newline at end of file + - - STAR_2012_2JET_510GEV_D-ALL \ No newline at end of file diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/metadata.yaml index e9c6a3be9d..ecbbee323b 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/metadata.yaml @@ -38,7 +38,7 @@ implemented_observables: y_label: "$A_{LL}$" theory: FK_tables: - - - STAR_2013_2JET_510GEV_A_ALL + - - STAR_2013_2JET_510GEV_A-ALL - observable: { description: "ALL as function of $M_{inv}$, topology B", label: "$A_{LL}$", units: "" } observable_name: B-ALL process_type: DIJET_POL @@ -61,7 +61,7 @@ implemented_observables: y_label: "$A_{LL}$" theory: FK_tables: - - - STAR_2013_2JET_510GEV_B_ALL + - - STAR_2013_2JET_510GEV_B-ALL - observable: { description: "ALL as function of $M_{inv}$, topology C", label: "$A_{LL}$", units: "" } observable_name: C-ALL process_type: DIJET_POL @@ -84,7 +84,7 @@ implemented_observables: y_label: "$A_{LL}$" theory: FK_tables: - - - STAR_2013_2JET_510GEV_C_ALL + - - STAR_2013_2JET_510GEV_C-ALL - observable: { description: "ALL as function of $M_{inv}$, topology D", label: "$A_{LL}$", units: "" } observable_name: D-ALL process_type: DIJET_POL @@ -107,4 +107,4 @@ implemented_observables: y_label: "$A_{LL}$" theory: FK_tables: - - - STAR_2013_2JET_510GEV_D_ALL \ No newline at end of file + - - STAR_2013_2JET_510GEV_D-ALL \ No newline at end of file diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/metadata.yaml index 53df4a3e9c..897f2f9269 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/metadata.yaml @@ -49,8 +49,8 @@ implemented_observables: y_label: "$A_{LL}$" theory: FK_tables: - - - STAR_2015_1JET_200GEV_CC_ALL-POL - - - STAR_2015_1JET_200GEV_CC_ALL-UNPOL + - - STAR_2015_1JET_200GEV_CC-ALL-POL + - - STAR_2015_1JET_200GEV_CC-ALL-UNPOL operation: "ratio" - observable: { description: "$A_{LL}$ as function of $p_T$, forward region", label: "$A_{LL}$", units: "" } observable_name: CF-ALL @@ -85,6 +85,6 @@ implemented_observables: y_label: "$A_{LL}$" theory: FK_tables: - - - STAR_2015_1JET_200GEV_CF_ALL-POL - - - STAR_2015_1JET_200GEV_CF_ALL-UNPOL + - - STAR_2015_1JET_200GEV_CF-ALL-POL + - - STAR_2015_1JET_200GEV_CF-ALL-UNPOL operation: "ratio" \ No newline at end of file diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/metadata.yaml index fdd4d15b76..aa0caa4ff9 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/metadata.yaml @@ -38,7 +38,7 @@ implemented_observables: y_label: "$A_{LL}$" theory: FK_tables: - - - STAR_2015_2JET_MIDRAP_510GEV_OS_ALL + - - STAR_2015_2JET_MIDRAP_510GEV_OS-ALL - observable: { description: "ALL as function of $M_{inv}$, same sign $\eta$ topology", label: "$A_{LL}$", units: "" } observable_name: SS-ALL process_type: DIJET_POL @@ -61,4 +61,4 @@ implemented_observables: y_label: "$A_{LL}$" theory: FK_tables: - - - STAR_2015_2JET_MIDRAP_510GEV_SS_ALL \ No newline at end of file + - - STAR_2015_2JET_MIDRAP_510GEV_SS-ALL \ No newline at end of file From aa2c2a736d3716f276e00704b43d0d09ee8543e2 Mon Sep 17 00:00:00 2001 From: giacomomagni Date: Tue, 18 Jun 2024 16:43:33 +0200 Subject: [PATCH 56/70] fix phenix name --- .../nnpdf_data/new_commondata/PHENIX_1JET_200GEV/metadata.yaml | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/metadata.yaml index 6f4fdec05e..8e063286d4 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/metadata.yaml @@ -50,4 +50,5 @@ implemented_observables: y_label: "$A_{LL}$" theory: FK_tables: - - - PHENIX_1JET_200GEV_ALL + - - PHENIX_1JET_200GEV_ALL-POL + - - PHENIX_1JET_200GEV_ALL-UNPOL From b5ff1d5715571b8f8ccdd3c44169092801f6fa82 Mon Sep 17 00:00:00 2001 From: giacomomagni Date: Wed, 19 Jun 2024 16:47:09 +0200 Subject: [PATCH 57/70] correct PHENIX source table --- .../PHENIX_1JET_200GEV/data.yaml | 2 - .../PHENIX_1JET_200GEV/filter.py | 72 +++++++++---------- .../PHENIX_1JET_200GEV/kinematics.yaml | 24 ------- .../rawdata/{Table_18.yaml => Figure18.yaml} | 2 + .../PHENIX_1JET_200GEV/rawdata/Table4.yaml | 39 ++++++++++ .../PHENIX_1JET_200GEV/uncertainties.yaml | 16 ++--- 6 files changed, 82 insertions(+), 73 deletions(-) rename nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/rawdata/{Table_18.yaml => Figure18.yaml} (85%) create mode 100644 nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/rawdata/Table4.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/data.yaml b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/data.yaml index f690926b67..cd826a98f7 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/data.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/data.yaml @@ -1,6 +1,4 @@ data_central: -- -0.0007 -- 0.0039 - -0.0014 - -0.0005 - 0.0058 diff --git a/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/filter.py b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/filter.py index 60170e44dd..2ab7f0a26d 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/filter.py +++ b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/filter.py @@ -1,41 +1,39 @@ -import glob - import pandas as pd import yaml POL_UNC = 0.094 -def read_data(fnames): +def read_data(): df = pd.DataFrame() - for fname in fnames: - with open(fname, "r") as file: - data = yaml.safe_load(file) - - pTbsub = data["independent_variables"][0]["values"] - pTsub = data["dependent_variables"][0]["values"] - ALLsub = data["dependent_variables"][1]["values"] - - for i in range(len(ALLsub)): - df = pd.concat( - [ - df, - pd.DataFrame( - { - "pT": [pTsub[i]["value"]], - "pTmin": [pTbsub[i]["low"]], - "pTmax": [pTbsub[i]["high"]], - "eta": [0.0], - "eta_min": [-0.35], - "eta_max": [0.35], - "sqrts": [200], - "ALL": [ALLsub[i]["value"]], - "stat": [ALLsub[i]["errors"][0]["symerror"]], - } - ), - ], - ignore_index=True, - ) + + with open("rawdata/Table4.yaml", "r") as file: + data = yaml.safe_load(file) + + pTbsub = data["independent_variables"][0]["values"] + pTsub = data["dependent_variables"][0]["values"] + ALLsub = data["dependent_variables"][1]["values"] + + for i in range(len(ALLsub)): + df = pd.concat( + [ + df, + pd.DataFrame( + { + "pT": [pTsub[i]["value"]], + "pTmin": [pTbsub[i]["low"]], + "pTmax": [pTbsub[i]["high"]], + "eta": [0.0], + "eta_min": [-0.35], + "eta_max": [0.35], + "sqrts": [200], + "ALL": [ALLsub[i]["value"]], + "stat": [ALLsub[i]["errors"][0]["symerror"]], + } + ), + ], + ignore_index=True, + ) df["pol"] = POL_UNC * abs(df["ALL"]) return df @@ -80,7 +78,11 @@ def write_data(df): error.append(e) error_definition = { - "stat": {"description": "statistical uncertainty", "treatment": "ADD", "type": "UNCORR"}, + "stat": { + "description": "statistical uncertainty", + "treatment": "ADD", + "type": "UNCORR", + }, "pol": { "description": "beam polarization uncertainty", "treatment": "MULT", @@ -95,9 +97,5 @@ def write_data(df): if __name__ == "__main__": - # TODO: Need to generate `observable` cards and corresponding - # pineappl grids and FK tables as the orders have changed!!!! - fnames = glob.glob("rawdata/*.yaml") - nnames = sorted([i for i in fnames]) - df = read_data(nnames) + df = read_data() write_data(df) diff --git a/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/kinematics.yaml b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/kinematics.yaml index 0d4a0e41b3..c66d84ce98 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/kinematics.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/kinematics.yaml @@ -1,28 +1,4 @@ bins: -- pT: - min: 2.0 - mid: 2.4 - max: 3.0 - sqrts: - min: null - mid: 200.0 - max: null - eta: - min: -0.35 - mid: 0.0 - max: 0.35 -- pT: - min: 3.0 - mid: 3.4 - max: 4.0 - sqrts: - min: null - mid: 200.0 - max: null - eta: - min: -0.35 - mid: 0.0 - max: 0.35 - pT: min: 4.0 mid: 4.4 diff --git a/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/rawdata/Table_18.yaml b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/rawdata/Figure18.yaml similarity index 85% rename from nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/rawdata/Table_18.yaml rename to nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/rawdata/Figure18.yaml index 5dcc2a6066..acc552a160 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/rawdata/Table_18.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/rawdata/Figure18.yaml @@ -1,3 +1,5 @@ +# This table is not correct presumably, as it contains two additional bins not shown in the figure +# and the stat error does not match with Table4 and Figure 18 of the paper. independent_variables: - header: {name: '$p^{reco}_T$ Bins (GeV/$c$)'} values: diff --git a/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/rawdata/Table4.yaml b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/rawdata/Table4.yaml new file mode 100644 index 0000000000..2742edb4e7 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/rawdata/Table4.yaml @@ -0,0 +1,39 @@ +independent_variables: +# Manually copied from the paper +- header: {name: '$p^{reco}_T$ Bins (GeV/$c$)'} + values: + - {low: 4, high: 5} + - {low: 5, high: 6} + - {low: 6, high: 7} + - {low: 7, high: 8} + - {low: 8, high: 10} + - {low: 10, high: 12} +dependent_variables: +- header: {name: '$$ (GeV/$c$)'} + values: + - value: 4.4 + - value: 5.4 + - value: 6.4 + - value: 7.4 + - value: 8.8 + - value: 10.8 +- header: {name: 'Jet $A_{LL}$'} + values: + - value: -0.0014 + errors: + - {symerror: 0.0037, label: 'stat.'} + - value: -0.0005 + errors: + - {symerror: 0.0059, label: 'stat.'} + - value: 0.0058 + errors: + - {symerror: 0.0089, label: 'stat.'} + - value: 0.0034 + errors: + - {symerror: 0.0132, label: 'stat.'} + - value: 0.0077 + errors: + - {symerror: 0.0152, label: 'stat.'} + - value: -0.0181 + errors: + - {symerror: 0.0282, label: 'stat.'} diff --git a/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/uncertainties.yaml index 576a619515..c0c3d91ac8 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/uncertainties.yaml @@ -8,19 +8,15 @@ definitions: treatment: MULT type: RHIC2005POL bins: -- stat: 7.7e-05 - pol: 6.58e-05 -- stat: 0.00082 - pol: 0.00036659999999999997 -- stat: 0.00052 +- stat: 0.0037 pol: 0.0001316 -- stat: 0.0003 +- stat: 0.0059 pol: 4.7000000000000004e-05 -- stat: 0.0052 +- stat: 0.0089 pol: 0.0005451999999999999 -- stat: 0.0045 +- stat: 0.0132 pol: 0.00031959999999999996 -- stat: 0.012 +- stat: 0.0152 pol: 0.0007238 -- stat: 0.051 +- stat: 0.0282 pol: 0.0017014 From 0c910137bbf5d0efb349446ebb228794b05a3c04 Mon Sep 17 00:00:00 2001 From: giacomomagni Date: Wed, 19 Jun 2024 17:03:12 +0200 Subject: [PATCH 58/70] add review comments --- .../new_commondata/PHENIX_1JET_200GEV/metadata.yaml | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/metadata.yaml index 8e063286d4..e1d7611cc0 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/PHENIX_1JET_200GEV/metadata.yaml @@ -19,8 +19,8 @@ implemented_observables: - observable: { description: "ALL w.r.t. pT", label: "$A_{LL}$", units: "" } observable_name: ALL process_type: JET_POL - ndata: 8 - tables: [18] + ndata: 6 + tables: [4] kinematics: variables: pT: @@ -52,3 +52,4 @@ implemented_observables: FK_tables: - - PHENIX_1JET_200GEV_ALL-POL - - PHENIX_1JET_200GEV_ALL-UNPOL + operation: "ratio" \ No newline at end of file From c3877dfefb993ee52321453fda64f32e74a950e7 Mon Sep 17 00:00:00 2001 From: toonhasenack Date: Fri, 28 Jun 2024 14:30:12 +0200 Subject: [PATCH 59/70] account for pol/unpol distinction in dijets --- .../metadata.yaml | 6 +- .../STAR_2012_2JET_510GEV/metadata.yaml | 77 +++++++++++++++---- .../STAR_2013_2JET_510GEV/metadata.yaml | 76 ++++++++++++++---- .../metadata.yaml | 38 +++++++-- 4 files changed, 154 insertions(+), 43 deletions(-) diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/metadata.yaml index 850913615d..ce49c1f6e3 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/metadata.yaml @@ -48,7 +48,8 @@ implemented_observables: y_label: "$A_{LL}$" theory: FK_tables: - - - STAR_2009_2JET_MIDRAP_200GEV_OS-ALL + - - STAR_2009_2JET_MIDRAP_200GEV_OS-ALL-POL + - - STAR_2009_2JET_MIDRAP_200GEV_OS-ALL-UNPOL - observable: { description: "ALL as function of $M_{inv}$, SS", @@ -81,4 +82,5 @@ implemented_observables: y_label: "$A_{LL}$" theory: FK_tables: - - - STAR_2009_2JET_MIDRAP_200GEV_SS-ALL + - - STAR_2009_2JET_MIDRAP_200GEV_SS-ALL-POL + - - STAR_2009_2JET_MIDRAP_200GEV_SS-ALL-UNPOL diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/metadata.yaml index ad29bd355b..b9ed51871a 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/metadata.yaml @@ -12,20 +12,29 @@ hepdata: url: "https://www.hepdata.net/record/ins1738738" version: 1 - version: 1 version_comment: "Initial implementation, correlations from arXiv" implemented_observables: - - observable: { description: "ALL as function of $M_{inv}$, topology A", label: "$A_{LL}$", units: "" } + - observable: + { + description: "ALL as function of $M_{inv}$, topology A", + label: "$A_{LL}$", + units: "", + } observable_name: A-ALL process_type: DIJET_POL ndata: 10 tables: [14] kinematics: variables: - m_jj: {description: "dijet mass", label: "$m_{jj}$", units: "GeV"} - sqrts: {description: "center of mass energy", label: r"$\sqrt(s)$", units: "GeV"} + m_jj: { description: "dijet mass", label: "$m_{jj}$", units: "GeV" } + sqrts: + { + description: "center of mass energy", + label: r"$\sqrt(s)$", + units: "GeV", + } file: kinematics_A.yaml kinematic_coverage: [m_jj, sqrts] data_central: data_A.yaml @@ -39,16 +48,27 @@ implemented_observables: y_label: "$A_{LL}$" theory: FK_tables: - - - STAR_2012_2JET_510GEV_A-ALL - - observable: { description: "ALL as function of $M_{inv}$, topology B", label: "$A_{LL}$", units: "" } + - - STAR_2012_2JET_510GEV_A-ALL-POL + - - STAR_2012_2JET_510GEV_A-ALL-UNPOL + - observable: + { + description: "ALL as function of $M_{inv}$, topology B", + label: "$A_{LL}$", + units: "", + } observable_name: B-ALL process_type: DIJET_POL ndata: 11 tables: [14] kinematics: variables: - m_jj: {description: "dijet mass", label: "$m_{jj}$", units: "GeV"} - sqrts: {description: "center of mass energy", label: r"$\sqrt(s)$", units: "GeV"} + m_jj: { description: "dijet mass", label: "$m_{jj}$", units: "GeV" } + sqrts: + { + description: "center of mass energy", + label: r"$\sqrt(s)$", + units: "GeV", + } file: kinematics_B.yaml kinematic_coverage: [m_jj, sqrts] data_central: data_B.yaml @@ -62,16 +82,27 @@ implemented_observables: y_label: "$A_{LL}$" theory: FK_tables: - - - STAR_2012_2JET_510GEV_B-ALL - - observable: { description: "ALL as function of $M_{inv}$, topology C", label: "$A_{LL}$", units: "" } + - - STAR_2012_2JET_510GEV_B-ALL-POL + - - STAR_2012_2JET_510GEV_B-ALL-UNPOL + - observable: + { + description: "ALL as function of $M_{inv}$, topology C", + label: "$A_{LL}$", + units: "", + } observable_name: C-ALL process_type: DIJET_POL ndata: 10 tables: [14] kinematics: variables: - m_jj: {description: "dijet mass", label: "$m_{jj}$", units: "GeV"} - sqrts: {description: "center of mass energy", label: r"$\sqrt(s)$", units: "GeV"} + m_jj: { description: "dijet mass", label: "$m_{jj}$", units: "GeV" } + sqrts: + { + description: "center of mass energy", + label: r"$\sqrt(s)$", + units: "GeV", + } file: kinematics_C.yaml kinematic_coverage: [m_jj, sqrts] data_central: data_C.yaml @@ -85,16 +116,27 @@ implemented_observables: y_label: "$A_{LL}$" theory: FK_tables: - - - STAR_2012_2JET_510GEV_C-ALL - - observable: { description: "ALL as function of $M_{inv}$, topology D", label: "$A_{LL}$", units: "" } + - - STAR_2012_2JET_510GEV_C-ALL-POL + - - STAR_2012_2JET_510GEV_C-ALL-UNPOL + - observable: + { + description: "ALL as function of $M_{inv}$, topology D", + label: "$A_{LL}$", + units: "", + } observable_name: D-ALL process_type: DIJET_POL ndata: 11 tables: [14] kinematics: variables: - m_jj: {description: "dijet mass", label: "$m_{jj}$", units: "GeV"} - sqrts: {description: "center of mass energy", label: r"$\sqrt(s)$", units: "GeV"} + m_jj: { description: "dijet mass", label: "$m_{jj}$", units: "GeV" } + sqrts: + { + description: "center of mass energy", + label: r"$\sqrt(s)$", + units: "GeV", + } file: kinematics_D.yaml kinematic_coverage: [m_jj, sqrts] data_central: data_D.yaml @@ -108,4 +150,5 @@ implemented_observables: y_label: "$A_{LL}$" theory: FK_tables: - - - STAR_2012_2JET_510GEV_D-ALL \ No newline at end of file + - - STAR_2012_2JET_510GEV_D-ALL-POL + - - STAR_2012_2JET_510GEV_D-ALL-UNPOL diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/metadata.yaml index ecbbee323b..03b62b444e 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/metadata.yaml @@ -16,15 +16,25 @@ version: 1 version_comment: "Initial implementation" implemented_observables: - - observable: { description: "ALL as function of $M_{inv}$, topology A", label: "$A_{LL}$", units: "" } + - observable: + { + description: "ALL as function of $M_{inv}$, topology A", + label: "$A_{LL}$", + units: "", + } observable_name: A-ALL process_type: DIJET_POL ndata: 12 tables: [5] kinematics: variables: - m_jj: {description: "dijet mass", label: "$m_{jj}$", units: "GeV"} - sqrts: {description: "center of mass energy", label: r"$\sqrt(s)$", units: "GeV"} + m_jj: { description: "dijet mass", label: "$m_{jj}$", units: "GeV" } + sqrts: + { + description: "center of mass energy", + label: r"$\sqrt(s)$", + units: "GeV", + } file: kinematics_A.yaml kinematic_coverage: [m_jj, sqrts] data_central: data_A.yaml @@ -38,16 +48,27 @@ implemented_observables: y_label: "$A_{LL}$" theory: FK_tables: - - - STAR_2013_2JET_510GEV_A-ALL - - observable: { description: "ALL as function of $M_{inv}$, topology B", label: "$A_{LL}$", units: "" } + - - STAR_2013_2JET_510GEV_A-ALL-POL + - - STAR_2013_2JET_510GEV_A-ALL-UNPOL + - observable: + { + description: "ALL as function of $M_{inv}$, topology B", + label: "$A_{LL}$", + units: "", + } observable_name: B-ALL process_type: DIJET_POL ndata: 13 tables: [5] kinematics: variables: - m_jj: {description: "dijet mass", label: "$m_{jj}$", units: "GeV"} - sqrts: {description: "center of mass energy", label: r"$\sqrt(s)$", units: "GeV"} + m_jj: { description: "dijet mass", label: "$m_{jj}$", units: "GeV" } + sqrts: + { + description: "center of mass energy", + label: r"$\sqrt(s)$", + units: "GeV", + } file: kinematics_B.yaml kinematic_coverage: [m_jj, sqrts] data_central: data_B.yaml @@ -61,16 +82,27 @@ implemented_observables: y_label: "$A_{LL}$" theory: FK_tables: - - - STAR_2013_2JET_510GEV_B-ALL - - observable: { description: "ALL as function of $M_{inv}$, topology C", label: "$A_{LL}$", units: "" } + - - STAR_2013_2JET_510GEV_B-ALL-POL + - - STAR_2013_2JET_510GEV_B-ALL-UNPOL + - observable: + { + description: "ALL as function of $M_{inv}$, topology C", + label: "$A_{LL}$", + units: "", + } observable_name: C-ALL process_type: DIJET_POL ndata: 12 tables: [5] kinematics: variables: - m_jj: {description: "dijet mass", label: "$m_{jj}$", units: "GeV"} - sqrts: {description: "center of mass energy", label: r"$\sqrt(s)$", units: "GeV"} + m_jj: { description: "dijet mass", label: "$m_{jj}$", units: "GeV" } + sqrts: + { + description: "center of mass energy", + label: r"$\sqrt(s)$", + units: "GeV", + } file: kinematics_C.yaml kinematic_coverage: [m_jj, sqrts] data_central: data_C.yaml @@ -84,16 +116,27 @@ implemented_observables: y_label: "$A_{LL}$" theory: FK_tables: - - - STAR_2013_2JET_510GEV_C-ALL - - observable: { description: "ALL as function of $M_{inv}$, topology D", label: "$A_{LL}$", units: "" } + - - STAR_2013_2JET_510GEV_C-ALL-POL + - - STAR_2013_2JET_510GEV_C-ALL-UNPOL + - observable: + { + description: "ALL as function of $M_{inv}$, topology D", + label: "$A_{LL}$", + units: "", + } observable_name: D-ALL process_type: DIJET_POL ndata: 12 tables: [5] kinematics: variables: - m_jj: {description: "dijet mass", label: "$m_{jj}$", units: "GeV"} - sqrts: {description: "center of mass energy", label: r"$\sqrt(s)$", units: "GeV"} + m_jj: { description: "dijet mass", label: "$m_{jj}$", units: "GeV" } + sqrts: + { + description: "center of mass energy", + label: r"$\sqrt(s)$", + units: "GeV", + } file: kinematics_D.yaml kinematic_coverage: [m_jj, sqrts] data_central: data_D.yaml @@ -107,4 +150,5 @@ implemented_observables: y_label: "$A_{LL}$" theory: FK_tables: - - - STAR_2013_2JET_510GEV_D-ALL \ No newline at end of file + - - STAR_2013_2JET_510GEV_D-ALL-POL + - - STAR_2013_2JET_510GEV_D-ALL-UNPOL diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/metadata.yaml index aa0caa4ff9..b2970ade34 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/metadata.yaml @@ -16,15 +16,25 @@ version: 1 version_comment: "Initial implementation" implemented_observables: - - observable: { description: "ALL as function of $M_{inv}$, opposite sign $\eta$ topology", label: "$A_{LL}$", units: "" } + - observable: + { + description: "ALL as function of $M_{inv}$, opposite sign $\eta$ topology", + label: "$A_{LL}$", + units: "", + } observable_name: OS-ALL process_type: DIJET_POL ndata: 7 tables: [2] kinematics: variables: - m_jj: {description: "dijet mass", label: "$m_{jj}$", units: "GeV"} - sqrts: {description: "center of mass energy", label: r"$\sqrt(s)$", units: "GeV"} + m_jj: { description: "dijet mass", label: "$m_{jj}$", units: "GeV" } + sqrts: + { + description: "center of mass energy", + label: r"$\sqrt(s)$", + units: "GeV", + } file: kinematics_OS.yaml kinematic_coverage: [m_jj, sqrts] data_central: data_OS.yaml @@ -38,16 +48,27 @@ implemented_observables: y_label: "$A_{LL}$" theory: FK_tables: - - - STAR_2015_2JET_MIDRAP_510GEV_OS-ALL - - observable: { description: "ALL as function of $M_{inv}$, same sign $\eta$ topology", label: "$A_{LL}$", units: "" } + - - STAR_2015_2JET_MIDRAP_510GEV_OS-ALL-POL + - - STAR_2015_2JET_MIDRAP_510GEV_OS-ALL-UNPOL + - observable: + { + description: "ALL as function of $M_{inv}$, same sign $\eta$ topology", + label: "$A_{LL}$", + units: "", + } observable_name: SS-ALL process_type: DIJET_POL ndata: 7 tables: [2] kinematics: variables: - m_jj: {description: "dijet mass", label: "$m_{jj}$", units: "GeV"} - sqrts: {description: "center of mass energy", label: r"$\sqrt(s)$", units: "GeV"} + m_jj: { description: "dijet mass", label: "$m_{jj}$", units: "GeV" } + sqrts: + { + description: "center of mass energy", + label: r"$\sqrt(s)$", + units: "GeV", + } file: kinematics_SS.yaml kinematic_coverage: [m_jj, sqrts] data_central: data_SS.yaml @@ -61,4 +82,5 @@ implemented_observables: y_label: "$A_{LL}$" theory: FK_tables: - - - STAR_2015_2JET_MIDRAP_510GEV_SS-ALL \ No newline at end of file + - - STAR_2015_2JET_MIDRAP_510GEV_SS-ALL-POL + - - STAR_2015_2JET_MIDRAP_510GEV_SS-ALL-UNPOL From 80b9fbb125868142a85182fc61409392674cc9ca Mon Sep 17 00:00:00 2001 From: toonhasenack Date: Fri, 28 Jun 2024 16:00:50 +0200 Subject: [PATCH 60/70] 510-->200 --- .../STAR_2015_2JET_MIDRAP_200GEV/metadata.yaml | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/metadata.yaml index b2970ade34..ea159cfc4c 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/metadata.yaml @@ -48,8 +48,8 @@ implemented_observables: y_label: "$A_{LL}$" theory: FK_tables: - - - STAR_2015_2JET_MIDRAP_510GEV_OS-ALL-POL - - - STAR_2015_2JET_MIDRAP_510GEV_OS-ALL-UNPOL + - - STAR_2015_2JET_MIDRAP_200GEV_OS-ALL-POL + - - STAR_2015_2JET_MIDRAP_200GEV_OS-ALL-UNPOL - observable: { description: "ALL as function of $M_{inv}$, same sign $\eta$ topology", @@ -82,5 +82,5 @@ implemented_observables: y_label: "$A_{LL}$" theory: FK_tables: - - - STAR_2015_2JET_MIDRAP_510GEV_SS-ALL-POL - - - STAR_2015_2JET_MIDRAP_510GEV_SS-ALL-UNPOL + - - STAR_2015_2JET_MIDRAP_200GEV_SS-ALL-POL + - - STAR_2015_2JET_MIDRAP_200GEV_SS-ALL-UNPOL From a516d7a1bfba5c27fe94f93d52a1cbb0ffbe52cf Mon Sep 17 00:00:00 2001 From: giacomomagni Date: Wed, 3 Jul 2024 09:35:14 +0200 Subject: [PATCH 61/70] implement E. Aschenauer suggestion --- .../STAR_2009_1JET_200GEV/filter.py | 3 +- .../STAR_2012_1JET_510GEV/filter.py | 23 +- .../STAR_2012_1JET_510GEV/uncertainties.yaml | 1568 +++++++------- .../uncertainties_A.yaml | 1266 ++++++------ .../uncertainties_B.yaml | 1381 +++++++------ .../uncertainties_C.yaml | 1266 ++++++------ .../uncertainties_D.yaml | 1381 +++++++------ .../STAR_2013_1JET_510GEV/filter.py | 23 +- .../STAR_2013_1JET_510GEV/uncertainties.yaml | 1764 ++++++++-------- .../uncertainties_A.yaml | 1678 ++++++++------- .../uncertainties_B.yaml | 1807 ++++++++--------- .../uncertainties_C.yaml | 1678 ++++++++------- .../uncertainties_D.yaml | 1678 ++++++++------- .../STAR_2015_1JET_200GEV/filter.py | 30 +- .../uncertainties_CC.yaml | 792 ++++---- .../uncertainties_CF.yaml | 792 ++++---- .../uncertainties_OS.yaml | 601 +++--- .../uncertainties_SS.yaml | 601 +++--- 18 files changed, 9080 insertions(+), 9252 deletions(-) diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/filter.py b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/filter.py index 38fa615406..8fb1f5345a 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/filter.py +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/filter.py @@ -288,7 +288,8 @@ def write_2jet_data(df, topology, art_sys): ) # from the supplement material: # https://journals.aps.org/prd/supplemental/10.1103/PhysRevD.98.032011/Supplementalmaterial.pdf - # we understand that stat jet and dijet are correlated + # we understand that stat jet and dijet are correlated, + # see also https://github.com/NNPDF/nnpdf/pull/2035#issuecomment-2201979662 correlated_unc = [] for a in TOPOPLOGY_LIST: correlated_unc.extend( diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/filter.py b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/filter.py index 16061682f8..e03571dedc 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/filter.py +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/filter.py @@ -214,11 +214,6 @@ def write_2jet_data(df, topology, art_sys): # Write unc file error = [] error_definition = { - "stat": { - "description": "statistical uncertainty", - "treatment": "ADD", - "type": "UNCORR", - }, "lumi_ue": { "description": "underlying event and relative luminosity uncertainty", "treatment": "ADD", @@ -233,7 +228,6 @@ def write_2jet_data(df, topology, art_sys): # loop on data points for i, sys_i in enumerate(art_sys): e = { - "stat": float(df.loc[i, "stat"]), "lumi_ue": float(df.loc[i, "lumi_ue"]), "pol": float(df.loc[i, "pol"]), } @@ -246,7 +240,7 @@ def write_2jet_data(df, topology, art_sys): error_definition.update( { f"sys_{j}": { - "description": f"{j} artificial correlated systematics uncertainty", + "description": f"{j} artificial correlated statistical + systematics uncertainty", "treatment": "ADD", "type": f"STAR{YEAR}JETunc{j}", } @@ -270,14 +264,13 @@ def write_2jet_data(df, topology, art_sys): # load correlations ndata_dict = {a: len(b) for a, b in dfs.items()} correlation_df = read_correlations(ndata_dict) - # from the paper we understand that stat dijet is not correlated - # I-I (stat + sys) | I-D (stat + sys) - # D-I (stat + sys) | D-D (sys) - correlated_unc = np.sqrt( - dfs["I"]["syst"] ** 2 + dfs["I"]["stat"] ** 2 - ).values.tolist() - for a in TOPOPLOGY_LIST[1:]: - correlated_unc.extend(dfs[a]["syst"].values) + # sum stat and syst for both jet and dijets as recommended + # by E.Aschenauer, see https://github.com/NNPDF/nnpdf/pull/2035#issuecomment-2201979662 + correlated_unc = [] + for a in TOPOPLOGY_LIST: + correlated_unc.extend( + np.sqrt(dfs[a]["syst"] ** 2 + dfs[a]["stat"] ** 2).values.tolist() + ) ndata_points = np.sum((*ndata_dict.values(),)) # decompose uncertainties art_sys = np.array(compute_covmat(correlation_df, correlated_unc, ndata_points)) diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/uncertainties.yaml index e8b010c7e7..bde5d73776 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/uncertainties.yaml @@ -234,813 +234,813 @@ definitions: bins: - lumi_ue: 0.000364 pol: 1.1285999999999999e-06 - sys_0: -8.307118087449961e-06 - sys_1: -1.923606975816457e-05 - sys_2: -2.7493288657714626e-05 - sys_3: -9.197046126805024e-06 - sys_4: -1.9676681454977926e-05 - sys_5: -1.7898280334048527e-05 - sys_6: -2.88199505107653e-05 - sys_7: 6.785010539251133e-06 - sys_8: 1.748689814956224e-05 - sys_9: -1.4440769025165626e-05 - sys_10: 4.33726375037121e-05 - sys_11: 6.187839493929042e-06 - sys_12: -3.320762550943015e-05 - sys_13: 7.68573157775859e-05 - sys_14: 5.4133132866737156e-05 - sys_15: -0.00017189096919798216 - sys_16: 1.2223399030256558e-05 - sys_17: 0.000344945788485751 - sys_18: 1.6755545305731354e-05 - sys_19: 1.6153776732296275e-05 - sys_20: 0.0010969169650801528 - sys_21: 0.0001371582737296083 - sys_22: 0.0005936320162272282 - sys_23: -5.529932439582105e-06 - sys_24: 0.00012462056765152226 - sys_25: -1.8940872412003985e-06 - sys_26: -1.1689271572807888e-05 - sys_27: -7.167698501070261e-05 - sys_28: 7.338187610003712e-06 - sys_29: -3.383872935466266e-06 - sys_30: 7.300731607728807e-07 - sys_31: -3.6336142151568466e-06 - sys_32: 2.0011710786003518e-07 - sys_33: -1.5315816375251268e-06 - sys_34: 5.28887677104233e-07 - sys_35: -3.223051865125062e-07 - sys_36: -9.72174487914799e-07 - sys_37: 4.395093640361111e-07 - sys_38: -4.41107750833724e-08 - sys_39: 2.4034517933802395e-08 - sys_40: -4.422257459408995e-07 - sys_41: -2.047345571773379e-07 - sys_42: -8.758373205138124e-08 - sys_43: -1.4367957854733877e-07 - sys_44: 3.366414466389085e-08 - sys_45: 7.415754618423778e-09 - sys_46: 1.5475784654807506e-07 - sys_47: -1.6083620019953704e-07 - sys_48: 4.3789569919787943e-07 - sys_49: 8.529961079628088e-08 - sys_50: 7.97368937335921e-07 - sys_51: 4.092833447173772e-07 - sys_52: 9.675002144068996e-08 - sys_53: 2.3643769729555895e-08 - sys_54: 6.642412401033884e-08 - sys_55: 2.989440268976087e-08 + sys_0: -8.821941748805665e-06 + sys_1: -3.647133093819715e-05 + sys_2: 1.8167870451191507e-06 + sys_3: 1.7483244936078064e-05 + sys_4: 8.483136631166403e-06 + sys_5: 1.2108429667596676e-05 + sys_6: -1.4968639805639232e-05 + sys_7: 1.1807884919821091e-05 + sys_8: 1.4271856486755282e-05 + sys_9: 1.233019052883303e-05 + sys_10: -8.46277556818203e-06 + sys_11: 1.3673607962112949e-05 + sys_12: -8.748427437422347e-06 + sys_13: -1.1353649503226805e-05 + sys_14: -1.7758882243814993e-05 + sys_15: 5.797017461791961e-06 + sys_16: 1.0949322616298886e-05 + sys_17: -2.1789787484307717e-05 + sys_18: 1.3317032520603892e-05 + sys_19: -9.563470189865437e-06 + sys_20: -8.22099465747639e-06 + sys_21: 5.306887824504082e-06 + sys_22: -1.1767831974255831e-05 + sys_23: -6.819927121922221e-05 + sys_24: -9.995071414958789e-05 + sys_25: 0.0003371072073149283 + sys_26: 0.0012092802633853932 + sys_27: 0.00029667443357125217 + sys_28: 0.0002579678419682714 + sys_29: -5.973614868422086e-05 + sys_30: 2.5349346947554508e-05 + sys_31: 5.429956819146516e-07 + sys_32: -4.673412227812524e-06 + sys_33: 9.400852661146199e-06 + sys_34: -5.545333821994411e-06 + sys_35: 5.899960672921897e-06 + sys_36: 2.881539531165112e-05 + sys_37: -7.284669141187073e-06 + sys_38: 1.7481194414994023e-05 + sys_39: -3.105042856976772e-05 + sys_40: 2.1203048280657375e-05 + sys_41: 3.665235752852848e-06 + sys_42: 1.054922251312889e-06 + sys_43: -4.391887800363986e-06 + sys_44: -6.2725605380339e-06 + sys_45: -6.5526794747025594e-06 + sys_46: -7.65597981933674e-06 + sys_47: -4.6889804405586205e-06 + sys_48: 4.389162725861691e-05 + sys_49: -1.0573358629473254e-05 + sys_50: 5.525284765141057e-06 + sys_51: 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b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/uncertainties_A.yaml @@ -1,8 +1,4 @@ definitions: - stat: - description: statistical uncertainty - treatment: ADD - type: UNCORR lumi_ue: description: underlying event and relative luminosity uncertainty treatment: ADD @@ -12,817 +8,807 @@ definitions: treatment: MULT type: STAR2012POL sys_0: - description: 0 artificial correlated systematics uncertainty + description: 0 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc0 sys_1: - description: 1 artificial correlated systematics uncertainty + description: 1 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc1 sys_2: - description: 2 artificial correlated systematics uncertainty + description: 2 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc2 sys_3: - description: 3 artificial correlated systematics uncertainty + description: 3 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc3 sys_4: - description: 4 artificial correlated systematics uncertainty + description: 4 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc4 sys_5: - description: 5 artificial correlated systematics uncertainty + description: 5 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc5 sys_6: - description: 6 artificial correlated systematics uncertainty + description: 6 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc6 sys_7: - description: 7 artificial correlated systematics uncertainty + description: 7 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc7 sys_8: - description: 8 artificial correlated systematics uncertainty + description: 8 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc8 sys_9: - description: 9 artificial correlated systematics uncertainty + description: 9 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc9 sys_10: - description: 10 artificial correlated systematics uncertainty + description: 10 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc10 sys_11: - description: 11 artificial correlated systematics uncertainty + description: 11 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc11 sys_12: - description: 12 artificial correlated systematics uncertainty + description: 12 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc12 sys_13: - description: 13 artificial correlated systematics uncertainty + description: 13 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc13 sys_14: - description: 14 artificial correlated systematics uncertainty + description: 14 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc14 sys_15: - description: 15 artificial correlated systematics uncertainty + description: 15 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc15 sys_16: - description: 16 artificial correlated systematics uncertainty + description: 16 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc16 sys_17: - description: 17 artificial correlated systematics uncertainty + description: 17 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc17 sys_18: - description: 18 artificial correlated systematics uncertainty + description: 18 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc18 sys_19: - description: 19 artificial correlated systematics uncertainty + description: 19 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc19 sys_20: - description: 20 artificial correlated systematics uncertainty + description: 20 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc20 sys_21: - description: 21 artificial correlated systematics uncertainty + description: 21 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc21 sys_22: - description: 22 artificial correlated systematics uncertainty + description: 22 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc22 sys_23: - description: 23 artificial correlated systematics uncertainty + description: 23 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc23 sys_24: - description: 24 artificial correlated systematics uncertainty + description: 24 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc24 sys_25: - description: 25 artificial correlated systematics uncertainty + description: 25 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc25 sys_26: - description: 26 artificial correlated systematics uncertainty + description: 26 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc26 sys_27: - description: 27 artificial correlated systematics uncertainty + description: 27 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc27 sys_28: - description: 28 artificial correlated systematics uncertainty + description: 28 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc28 sys_29: - description: 29 artificial correlated systematics uncertainty + description: 29 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc29 sys_30: - description: 30 artificial correlated systematics uncertainty + description: 30 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc30 sys_31: - description: 31 artificial correlated systematics uncertainty + description: 31 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc31 sys_32: - description: 32 artificial correlated systematics uncertainty + description: 32 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc32 sys_33: - description: 33 artificial correlated systematics uncertainty + description: 33 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc33 sys_34: - description: 34 artificial correlated systematics uncertainty + description: 34 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc34 sys_35: - description: 35 artificial correlated systematics uncertainty + description: 35 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc35 sys_36: - description: 36 artificial correlated systematics uncertainty + description: 36 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc36 sys_37: - description: 37 artificial correlated systematics uncertainty + description: 37 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc37 sys_38: - description: 38 artificial correlated systematics uncertainty + description: 38 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc38 sys_39: - description: 39 artificial correlated systematics uncertainty + description: 39 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc39 sys_40: - description: 40 artificial correlated systematics uncertainty + description: 40 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc40 sys_41: - description: 41 artificial correlated systematics uncertainty + description: 41 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc41 sys_42: - description: 42 artificial correlated systematics uncertainty + description: 42 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc42 sys_43: - description: 43 artificial correlated systematics uncertainty + description: 43 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc43 sys_44: - description: 44 artificial correlated systematics uncertainty + description: 44 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc44 sys_45: - description: 45 artificial correlated systematics uncertainty + description: 45 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc45 sys_46: - description: 46 artificial correlated systematics uncertainty + description: 46 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc46 sys_47: - description: 47 artificial correlated systematics uncertainty + description: 47 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc47 sys_48: - description: 48 artificial correlated systematics uncertainty + description: 48 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc48 sys_49: - description: 49 artificial correlated systematics uncertainty + description: 49 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc49 sys_50: - description: 50 artificial correlated systematics uncertainty + description: 50 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc50 sys_51: - description: 51 artificial correlated systematics uncertainty + description: 51 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc51 sys_52: - description: 52 artificial correlated systematics uncertainty + description: 52 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc52 sys_53: - description: 53 artificial correlated systematics uncertainty + description: 53 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc53 sys_54: - description: 54 artificial correlated systematics uncertainty + description: 54 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc54 sys_55: - description: 55 artificial correlated systematics uncertainty + description: 55 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc55 bins: -- stat: 0.0066 - lumi_ue: 0.00025 +- lumi_ue: 0.00025 pol: 0.0008448 - sys_0: -2.805509704053412e-07 - sys_1: 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9.474819131895561e-05 + sys_54: 4.597873930350965e-05 + sys_55: -4.878471626361834e-06 +- lumi_ue: 0.00037 pol: 0.0023958 - sys_0: -6.085162735319438e-05 - sys_1: -0.00014950866116825406 - sys_2: -3.172881157363866e-05 - sys_3: -0.00019447082960669153 - sys_4: 6.164484502959233e-05 - sys_5: -0.00030982926184581984 - sys_6: -0.00010469898259402503 - sys_7: -3.533334986616629e-05 - sys_8: -7.504331775242312e-05 - sys_9: 0.00012375422864721797 - sys_10: 9.788816661350295e-05 - sys_11: 0.0018144932654137527 - sys_12: -0.0005267585913697977 - sys_13: 0.0003730042622506635 - sys_14: -0.0002697551145446803 - sys_15: 4.457492205036469e-05 - sys_16: -2.178382456690765e-06 - sys_17: -4.577714773042892e-05 - sys_18: 9.666024870888396e-06 - sys_19: 1.6201749879046655e-06 - sys_20: 5.1302406432180514e-06 - sys_21: -7.766692258416698e-05 - sys_22: 7.174214392225953e-07 - sys_23: 9.378224374666661e-07 - sys_24: 1.9018695313887143e-06 - sys_25: -4.380561982456457e-07 - sys_26: 1.691428053515039e-05 - 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sys_31: 5.0203583153153494e-06 + sys_32: -2.3421783741994973e-05 + sys_33: -9.025178934615913e-06 + sys_34: 4.2335792137158006e-05 + sys_35: 8.289782073710602e-05 + sys_36: 9.744460777358795e-06 + sys_37: 3.6232481611322447e-06 + sys_38: -2.418408063129908e-05 + sys_39: 7.355571483698593e-05 + sys_40: -5.239095749914436e-06 + sys_41: 4.34537298705802e-05 + sys_42: -2.8262819553516286e-06 + sys_43: 1.1214076775988322e-05 + sys_44: 6.044502073620967e-06 + sys_45: 1.3205074553314394e-05 + sys_46: 6.682743656005294e-06 + sys_47: 2.301466092029081e-06 + sys_48: -1.6933593116356689e-06 + sys_49: 5.908634843708989e-06 + sys_50: 4.719193782923559e-07 + sys_51: -1.987798644157024e-06 + sys_52: 4.5521097068499716e-05 + sys_53: 0.00011224136455724005 + sys_54: 5.451735887218823e-05 + sys_55: -1.2886999446169458e-06 +- lumi_ue: 0.00031 pol: 0.0014388 - sys_0: -0.00037960228302466 - sys_1: -0.0008299122305492342 - sys_2: -6.834069276424717e-05 - sys_3: -0.002023099603413346 - sys_4: 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5.642091881810538e-05 + sys_40: -3.18085093238913e-06 + sys_41: 2.21849379780013e-05 + sys_42: 1.280307130991647e-06 + sys_43: 9.696158481974046e-06 + sys_44: 6.828633656818436e-06 + sys_45: 9.621909518221789e-06 + sys_46: 8.211077321872226e-06 + sys_47: 4.522588630807568e-06 + sys_48: -2.4338542460818716e-06 + sys_49: 2.5614497431731453e-06 + sys_50: -2.851921557332187e-07 + sys_51: 3.462668505870031e-07 + sys_52: 3.3948045387218256e-05 + sys_53: 0.00010743765255831472 + sys_54: 5.040516348405297e-05 + sys_55: -2.3407043539685785e-07 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/uncertainties_B.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/uncertainties_B.yaml index 4237b0b490..0f56358218 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/uncertainties_B.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/uncertainties_B.yaml @@ -1,8 +1,4 @@ definitions: - stat: - description: statistical uncertainty - treatment: ADD - type: UNCORR lumi_ue: description: underlying event and relative luminosity uncertainty treatment: ADD @@ -12,876 +8,865 @@ definitions: treatment: MULT type: STAR2012POL sys_0: - description: 0 artificial correlated systematics uncertainty + description: 0 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc0 sys_1: - description: 1 artificial correlated systematics uncertainty + description: 1 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc1 sys_2: - description: 2 artificial correlated systematics uncertainty + description: 2 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc2 sys_3: - description: 3 artificial correlated systematics uncertainty + description: 3 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc3 sys_4: - description: 4 artificial correlated systematics uncertainty + description: 4 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc4 sys_5: - description: 5 artificial correlated systematics uncertainty + description: 5 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc5 sys_6: - description: 6 artificial correlated systematics uncertainty + description: 6 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc6 sys_7: - description: 7 artificial correlated systematics uncertainty + description: 7 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc7 sys_8: - description: 8 artificial correlated systematics uncertainty + description: 8 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc8 sys_9: - description: 9 artificial correlated systematics uncertainty + description: 9 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc9 sys_10: - description: 10 artificial correlated systematics uncertainty + description: 10 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc10 sys_11: - description: 11 artificial correlated systematics uncertainty + description: 11 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc11 sys_12: - description: 12 artificial correlated systematics uncertainty + description: 12 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc12 sys_13: - description: 13 artificial correlated systematics uncertainty + description: 13 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc13 sys_14: - description: 14 artificial correlated systematics uncertainty + description: 14 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc14 sys_15: - description: 15 artificial correlated systematics uncertainty + description: 15 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc15 sys_16: - description: 16 artificial correlated systematics uncertainty + description: 16 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc16 sys_17: - description: 17 artificial correlated systematics uncertainty + description: 17 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc17 sys_18: - description: 18 artificial correlated systematics uncertainty + description: 18 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc18 sys_19: - description: 19 artificial correlated systematics uncertainty + description: 19 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc19 sys_20: - description: 20 artificial correlated systematics uncertainty + description: 20 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc20 sys_21: - description: 21 artificial correlated systematics uncertainty + description: 21 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc21 sys_22: - description: 22 artificial correlated systematics uncertainty + description: 22 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc22 sys_23: - description: 23 artificial correlated systematics uncertainty + description: 23 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc23 sys_24: - description: 24 artificial correlated systematics uncertainty + description: 24 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc24 sys_25: - description: 25 artificial correlated systematics uncertainty + description: 25 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc25 sys_26: - description: 26 artificial correlated systematics uncertainty + description: 26 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc26 sys_27: - description: 27 artificial correlated systematics uncertainty + description: 27 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc27 sys_28: - description: 28 artificial correlated systematics uncertainty + description: 28 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc28 sys_29: - description: 29 artificial correlated systematics uncertainty + description: 29 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc29 sys_30: - description: 30 artificial correlated systematics uncertainty + description: 30 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc30 sys_31: - description: 31 artificial correlated systematics uncertainty + description: 31 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc31 sys_32: - description: 32 artificial correlated systematics uncertainty + description: 32 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc32 sys_33: - description: 33 artificial correlated systematics uncertainty + description: 33 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc33 sys_34: - description: 34 artificial correlated systematics uncertainty + description: 34 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc34 sys_35: - description: 35 artificial correlated systematics uncertainty + description: 35 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc35 sys_36: - description: 36 artificial correlated systematics uncertainty + description: 36 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc36 sys_37: - description: 37 artificial correlated systematics uncertainty + description: 37 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc37 sys_38: - description: 38 artificial correlated systematics uncertainty + description: 38 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc38 sys_39: - description: 39 artificial correlated systematics uncertainty + description: 39 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc39 sys_40: - description: 40 artificial correlated systematics uncertainty + description: 40 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc40 sys_41: - description: 41 artificial correlated systematics uncertainty + description: 41 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc41 sys_42: - description: 42 artificial correlated systematics uncertainty + description: 42 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc42 sys_43: - description: 43 artificial correlated systematics uncertainty + description: 43 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc43 sys_44: - description: 44 artificial correlated systematics uncertainty + description: 44 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc44 sys_45: - description: 45 artificial correlated systematics uncertainty + description: 45 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc45 sys_46: - description: 46 artificial correlated systematics uncertainty + description: 46 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc46 sys_47: - description: 47 artificial correlated systematics uncertainty + description: 47 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc47 sys_48: - description: 48 artificial correlated systematics uncertainty + description: 48 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc48 sys_49: - description: 49 artificial correlated systematics uncertainty + description: 49 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc49 sys_50: - description: 50 artificial correlated systematics uncertainty + description: 50 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc50 sys_51: - description: 51 artificial correlated systematics uncertainty + description: 51 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc51 sys_52: - description: 52 artificial correlated systematics uncertainty + description: 52 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc52 sys_53: - description: 53 artificial correlated systematics uncertainty + description: 53 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc53 sys_54: - description: 54 artificial correlated systematics uncertainty + description: 54 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc54 sys_55: - description: 55 artificial correlated systematics uncertainty + description: 55 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc55 bins: -- stat: 0.0053 - lumi_ue: 0.0004 +- lumi_ue: 0.0004 pol: 0.0001518 - sys_0: -4.902699695448577e-07 - sys_1: -9.667668405608368e-07 - sys_2: -1.5946010176743127e-06 - sys_3: -3.046550955055064e-07 - sys_4: -1.2640171400176975e-06 - sys_5: -6.928951928115611e-07 - 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2.6783883136333852e-05 + sys_53: 8.862616698716669e-05 + sys_54: 4.2062318472610274e-05 + sys_55: 1.615685814096234e-07 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/uncertainties_C.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/uncertainties_C.yaml index a776bb33c5..7d41c7e4a7 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/uncertainties_C.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/uncertainties_C.yaml @@ -1,8 +1,4 @@ definitions: - stat: - description: statistical uncertainty - treatment: ADD - type: UNCORR lumi_ue: description: underlying event and relative luminosity uncertainty treatment: ADD @@ -12,817 +8,807 @@ definitions: treatment: MULT type: STAR2012POL sys_0: - description: 0 artificial correlated systematics uncertainty + description: 0 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc0 sys_1: - description: 1 artificial correlated systematics uncertainty + description: 1 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc1 sys_2: - description: 2 artificial correlated systematics uncertainty + description: 2 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc2 sys_3: - description: 3 artificial correlated systematics uncertainty + description: 3 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc3 sys_4: - description: 4 artificial correlated systematics uncertainty + description: 4 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc4 sys_5: - description: 5 artificial correlated systematics uncertainty + description: 5 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc5 sys_6: - description: 6 artificial correlated systematics uncertainty + description: 6 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc6 sys_7: - description: 7 artificial correlated systematics uncertainty + description: 7 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc7 sys_8: - description: 8 artificial correlated systematics uncertainty + description: 8 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc8 sys_9: - description: 9 artificial correlated systematics uncertainty + description: 9 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc9 sys_10: - description: 10 artificial correlated systematics uncertainty + description: 10 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc10 sys_11: - description: 11 artificial correlated systematics uncertainty + description: 11 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc11 sys_12: - description: 12 artificial correlated systematics uncertainty + description: 12 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc12 sys_13: - description: 13 artificial correlated systematics uncertainty + description: 13 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc13 sys_14: - description: 14 artificial correlated systematics uncertainty + description: 14 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc14 sys_15: - description: 15 artificial correlated systematics uncertainty + description: 15 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc15 sys_16: - description: 16 artificial correlated systematics uncertainty + description: 16 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc16 sys_17: - description: 17 artificial correlated systematics uncertainty + description: 17 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc17 sys_18: - description: 18 artificial correlated systematics uncertainty + description: 18 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc18 sys_19: - description: 19 artificial correlated systematics uncertainty + description: 19 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc19 sys_20: - description: 20 artificial correlated systematics uncertainty + description: 20 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc20 sys_21: - description: 21 artificial correlated systematics uncertainty + description: 21 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc21 sys_22: - description: 22 artificial correlated systematics uncertainty + description: 22 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc22 sys_23: - description: 23 artificial correlated systematics uncertainty + description: 23 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc23 sys_24: - description: 24 artificial correlated systematics uncertainty + description: 24 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc24 sys_25: - description: 25 artificial correlated systematics uncertainty + description: 25 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc25 sys_26: - description: 26 artificial correlated systematics uncertainty + description: 26 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc26 sys_27: - description: 27 artificial correlated systematics uncertainty + description: 27 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc27 sys_28: - description: 28 artificial correlated systematics uncertainty + description: 28 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc28 sys_29: - description: 29 artificial correlated systematics uncertainty + description: 29 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc29 sys_30: - description: 30 artificial correlated systematics uncertainty + description: 30 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc30 sys_31: - description: 31 artificial correlated systematics uncertainty + description: 31 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc31 sys_32: - description: 32 artificial correlated systematics uncertainty + description: 32 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc32 sys_33: - description: 33 artificial correlated systematics uncertainty + description: 33 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc33 sys_34: - description: 34 artificial correlated systematics uncertainty + description: 34 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc34 sys_35: - description: 35 artificial correlated systematics uncertainty + description: 35 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc35 sys_36: - description: 36 artificial correlated systematics uncertainty + description: 36 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc36 sys_37: - description: 37 artificial correlated systematics uncertainty + description: 37 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc37 sys_38: - description: 38 artificial correlated systematics uncertainty + description: 38 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc38 sys_39: - description: 39 artificial correlated systematics uncertainty + description: 39 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc39 sys_40: - description: 40 artificial correlated systematics uncertainty + description: 40 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc40 sys_41: - description: 41 artificial correlated systematics uncertainty + description: 41 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc41 sys_42: - description: 42 artificial correlated systematics uncertainty + description: 42 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc42 sys_43: - description: 43 artificial correlated systematics uncertainty + description: 43 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc43 sys_44: - description: 44 artificial correlated systematics uncertainty + description: 44 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc44 sys_45: - description: 45 artificial correlated systematics uncertainty + description: 45 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc45 sys_46: - description: 46 artificial correlated systematics uncertainty + description: 46 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc46 sys_47: - description: 47 artificial correlated systematics uncertainty + description: 47 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc47 sys_48: - description: 48 artificial correlated systematics uncertainty + description: 48 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc48 sys_49: - description: 49 artificial correlated systematics uncertainty + description: 49 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc49 sys_50: - description: 50 artificial correlated systematics uncertainty + description: 50 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc50 sys_51: - description: 51 artificial correlated systematics uncertainty + description: 51 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc51 sys_52: - description: 52 artificial correlated systematics uncertainty + description: 52 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc52 sys_53: - description: 53 artificial correlated systematics uncertainty + description: 53 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc53 sys_54: - description: 54 artificial correlated systematics uncertainty + description: 54 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc54 sys_55: - description: 55 artificial correlated systematics uncertainty + description: 55 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc55 bins: -- stat: 0.0085 - lumi_ue: 0.00026 +- lumi_ue: 0.00026 pol: 0.0003828 - sys_0: -2.5482830979737217e-07 - sys_1: -5.769850292115005e-07 - sys_2: -1.1005432363669914e-06 - sys_3: -2.1294360101953275e-07 - sys_4: -7.07382830391889e-07 - sys_5: -4.415644960601962e-07 - sys_6: -6.243926684259909e-07 - sys_7: 1.270069928119173e-07 - sys_8: 4.3293345872659486e-07 - sys_9: -4.1689903309478285e-07 - sys_10: 4.7049236943574365e-07 - sys_11: 2.646114670357675e-07 - sys_12: -7.296458330855937e-07 - sys_13: 1.3828811400533153e-06 - sys_14: 4.209609174083622e-07 - sys_15: -1.9209884197366687e-06 - sys_16: 3.4681919776983286e-07 - sys_17: 5.124420657605955e-06 - sys_18: 1.1347940087052614e-07 - 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ff72eb9892..87fc6c8595 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/uncertainties_D.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/uncertainties_D.yaml @@ -1,8 +1,4 @@ definitions: - stat: - description: statistical uncertainty - treatment: ADD - type: UNCORR lumi_ue: description: underlying event and relative luminosity uncertainty treatment: ADD @@ -12,876 +8,865 @@ definitions: treatment: MULT type: STAR2012POL sys_0: - description: 0 artificial correlated systematics uncertainty + description: 0 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc0 sys_1: - description: 1 artificial correlated systematics uncertainty + description: 1 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc1 sys_2: - description: 2 artificial correlated systematics uncertainty + description: 2 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc2 sys_3: - description: 3 artificial correlated systematics uncertainty + description: 3 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc3 sys_4: - description: 4 artificial correlated systematics uncertainty + description: 4 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc4 sys_5: - description: 5 artificial correlated systematics uncertainty + description: 5 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc5 sys_6: - description: 6 artificial correlated systematics uncertainty + description: 6 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc6 sys_7: - description: 7 artificial correlated systematics uncertainty + description: 7 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc7 sys_8: - description: 8 artificial correlated systematics uncertainty + description: 8 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc8 sys_9: - description: 9 artificial correlated systematics uncertainty + description: 9 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc9 sys_10: - description: 10 artificial correlated systematics uncertainty + description: 10 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc10 sys_11: - description: 11 artificial correlated systematics uncertainty + description: 11 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc11 sys_12: - description: 12 artificial correlated systematics uncertainty + description: 12 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc12 sys_13: - description: 13 artificial correlated systematics uncertainty + description: 13 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc13 sys_14: - description: 14 artificial correlated systematics uncertainty + description: 14 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc14 sys_15: - description: 15 artificial correlated systematics uncertainty + description: 15 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc15 sys_16: - description: 16 artificial correlated systematics uncertainty + description: 16 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc16 sys_17: - description: 17 artificial correlated systematics uncertainty + description: 17 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc17 sys_18: - description: 18 artificial correlated systematics uncertainty + description: 18 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc18 sys_19: - description: 19 artificial correlated systematics uncertainty + description: 19 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc19 sys_20: - description: 20 artificial correlated systematics uncertainty + description: 20 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc20 sys_21: - description: 21 artificial correlated systematics uncertainty + description: 21 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc21 sys_22: - description: 22 artificial correlated systematics uncertainty + description: 22 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc22 sys_23: - description: 23 artificial correlated systematics uncertainty + description: 23 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc23 sys_24: - description: 24 artificial correlated systematics uncertainty + description: 24 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc24 sys_25: - description: 25 artificial correlated systematics uncertainty + description: 25 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc25 sys_26: - description: 26 artificial correlated systematics uncertainty + description: 26 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc26 sys_27: - description: 27 artificial correlated systematics uncertainty + description: 27 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc27 sys_28: - description: 28 artificial correlated systematics uncertainty + description: 28 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc28 sys_29: - description: 29 artificial correlated systematics uncertainty + description: 29 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc29 sys_30: - description: 30 artificial correlated systematics uncertainty + description: 30 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc30 sys_31: - description: 31 artificial correlated systematics uncertainty + description: 31 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc31 sys_32: - description: 32 artificial correlated systematics uncertainty + description: 32 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc32 sys_33: - description: 33 artificial correlated systematics uncertainty + description: 33 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc33 sys_34: - description: 34 artificial correlated systematics uncertainty + description: 34 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc34 sys_35: - description: 35 artificial correlated systematics uncertainty + description: 35 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc35 sys_36: - description: 36 artificial correlated systematics uncertainty + description: 36 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc36 sys_37: - description: 37 artificial correlated systematics uncertainty + description: 37 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc37 sys_38: - description: 38 artificial correlated systematics uncertainty + description: 38 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc38 sys_39: - description: 39 artificial correlated systematics uncertainty + description: 39 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc39 sys_40: - description: 40 artificial correlated systematics uncertainty + description: 40 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc40 sys_41: - description: 41 artificial correlated systematics uncertainty + description: 41 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc41 sys_42: - description: 42 artificial correlated systematics uncertainty + description: 42 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc42 sys_43: - description: 43 artificial correlated systematics uncertainty + description: 43 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc43 sys_44: - description: 44 artificial correlated systematics uncertainty + description: 44 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc44 sys_45: - description: 45 artificial correlated systematics uncertainty + description: 45 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc45 sys_46: - description: 46 artificial correlated systematics uncertainty + description: 46 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc46 sys_47: - description: 47 artificial correlated systematics uncertainty + description: 47 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc47 sys_48: - description: 48 artificial correlated systematics uncertainty + description: 48 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc48 sys_49: - description: 49 artificial correlated systematics uncertainty + description: 49 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc49 sys_50: - description: 50 artificial correlated systematics uncertainty + description: 50 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc50 sys_51: - description: 51 artificial correlated systematics uncertainty + description: 51 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc51 sys_52: - description: 52 artificial correlated systematics uncertainty + description: 52 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc52 sys_53: - description: 53 artificial correlated systematics uncertainty + description: 53 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc53 sys_54: - description: 54 artificial correlated systematics uncertainty + description: 54 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2012JETunc54 sys_55: - description: 55 artificial correlated systematics uncertainty + description: 55 artificial correlated statistical + systematics uncertainty treatment: ADD type: 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4.084882989852301e-06 + sys_42: 3.0666212214045293e-07 + sys_43: 2.5713801311965486e-06 + sys_44: 9.808223463882108e-07 + sys_45: 1.284987809126998e-06 + sys_46: 1.3037533924412506e-06 + sys_47: 1.0729894999489885e-06 + sys_48: 1.947332071953631e-06 + sys_49: -2.7804275701445893e-06 + sys_50: -6.605960073625057e-07 + sys_51: 2.5895911737392207e-06 + sys_52: 1.1995123905200005e-05 + sys_53: 5.110122403018106e-05 + sys_54: 2.5550192779393124e-05 + sys_55: 6.295289324677969e-07 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/filter.py b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/filter.py index ab62928cc2..eb4d67f8c7 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/filter.py +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/filter.py @@ -223,11 +223,6 @@ def write_2jet_data(df, topology, art_sys): # Write unc file error = [] error_definition = { - "stat": { - "description": "statistical uncertainty", - "treatment": "ADD", - "type": "UNCORR", - }, "pol": { "description": "beam polarization uncertainty", "treatment": "MULT", @@ -242,7 +237,6 @@ def write_2jet_data(df, topology, art_sys): # loop on data points for i, sys_i in enumerate(art_sys): e = { - "stat": float(df.loc[i, "stat"]), "pol": float(df.loc[i, "pol"]), "lumi": float(df.loc[i, "lumi"]), } @@ -255,7 +249,7 @@ def write_2jet_data(df, topology, art_sys): error_definition.update( { f"sys_{j}": { - "description": f"{j} artificial correlated systematics uncertainty", + "description": f"{j} artificial correlated statistical + systematics uncertainty", "treatment": "ADD", "type": f"STAR{YEAR}JETunc{j}", } @@ -279,14 +273,13 @@ def write_2jet_data(df, topology, art_sys): # load correlations ndata_dict = {a: len(b) for a, b in dfs.items()} correlation_df = read_correlations(ndata_dict) - # from the paper we understand that stat dijet is not correlated - # I-I (stat + sys) | I-D (stat + sys) - # D-I (stat + sys) | D-D (sys) - correlated_unc = np.sqrt( - dfs["1JET"]["syst"] ** 2 + dfs["1JET"]["stat"] ** 2 - ).values.tolist() - for a in TOPOPLOGY_LIST[1:]: - correlated_unc.extend(dfs[a]["syst"].values) + # sum stat and syst for both jet and dijets as recommended + # by E.Aschenauer, see https://github.com/NNPDF/nnpdf/pull/2035#issuecomment-2201979662 + correlated_unc = [] + for a in TOPOPLOGY_LIST: + correlated_unc.extend( + np.sqrt(dfs[a]["syst"] ** 2 + dfs[a]["stat"] ** 2).values.tolist() + ) ndata_points = np.sum((*ndata_dict.values(),)) # decompose uncertainties art_sys = np.array(compute_covmat(correlation_df, correlated_unc, ndata_points)) diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/uncertainties.yaml index d53f02de56..919b3d048e 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/uncertainties.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/uncertainties.yaml @@ -262,911 +262,911 @@ definitions: bins: - pol: 0.00040064 lumi: 0.00047 - sys_0: -8.959677092850805e-10 - sys_1: 9.832716726753248e-09 - sys_2: 6.730954169673362e-08 - sys_3: -5.428657179727165e-07 - sys_4: 1.849151226465547e-05 - sys_5: -0.00033425279444213827 - sys_6: -0.002460403929534158 - sys_7: 1.0596623541335071e-05 - sys_8: -7.09332292192478e-06 - sys_9: -3.217314418564714e-05 - sys_10: 2.5920662962455683e-06 - sys_11: 1.4170133072198724e-05 - sys_12: 1.537393509964682e-05 - sys_13: 1.332332354554299e-05 - sys_14: 9.522602492308007e-06 - sys_15: -1.5924891360184378e-06 - sys_16: -1.8351701803258442e-05 - sys_17: 2.9743013494868743e-06 - sys_18: 2.594986914432465e-06 - sys_19: -1.280641734419468e-06 - sys_20: -4.784476270442007e-06 - sys_21: -5.189564847497854e-06 - sys_22: -2.724363769753915e-06 - sys_23: -3.3100747565082005e-06 - sys_24: 3.0073944777895753e-06 - sys_25: -4.779140471867104e-06 - 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a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/uncertainties_A.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/uncertainties_A.yaml @@ -1,8 +1,4 @@ definitions: - stat: - description: statistical uncertainty - treatment: ADD - type: UNCORR pol: description: beam polarization uncertainty treatment: MULT @@ -12,1047 +8,1035 @@ definitions: treatment: ADD type: STAR2013LUMI sys_0: - description: 0 artificial correlated systematics uncertainty + description: 0 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc0 sys_1: - description: 1 artificial correlated systematics uncertainty + description: 1 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc1 sys_2: - description: 2 artificial correlated systematics uncertainty + description: 2 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc2 sys_3: - description: 3 artificial correlated systematics uncertainty + description: 3 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc3 sys_4: - description: 4 artificial correlated systematics uncertainty + description: 4 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc4 sys_5: - description: 5 artificial correlated systematics uncertainty + description: 5 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc5 sys_6: - description: 6 artificial correlated systematics uncertainty + description: 6 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc6 sys_7: - description: 7 artificial correlated systematics uncertainty + description: 7 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc7 sys_8: - description: 8 artificial correlated systematics uncertainty + description: 8 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc8 sys_9: - description: 9 artificial correlated systematics uncertainty + description: 9 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc9 sys_10: - description: 10 artificial correlated systematics uncertainty + description: 10 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc10 sys_11: - description: 11 artificial correlated systematics uncertainty + description: 11 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc11 sys_12: - description: 12 artificial correlated systematics uncertainty + description: 12 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc12 sys_13: - description: 13 artificial correlated systematics uncertainty + description: 13 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc13 sys_14: - description: 14 artificial correlated systematics uncertainty + description: 14 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc14 sys_15: - description: 15 artificial correlated systematics uncertainty + description: 15 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc15 sys_16: - description: 16 artificial correlated systematics uncertainty + description: 16 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc16 sys_17: - description: 17 artificial correlated systematics uncertainty + description: 17 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc17 sys_18: - description: 18 artificial correlated systematics uncertainty + description: 18 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc18 sys_19: - description: 19 artificial correlated systematics uncertainty + description: 19 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc19 sys_20: - description: 20 artificial correlated systematics uncertainty + description: 20 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc20 sys_21: - description: 21 artificial correlated systematics uncertainty + description: 21 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc21 sys_22: - description: 22 artificial correlated systematics uncertainty + description: 22 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc22 sys_23: - description: 23 artificial correlated systematics uncertainty + description: 23 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc23 sys_24: - description: 24 artificial correlated systematics uncertainty + description: 24 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc24 sys_25: - description: 25 artificial correlated systematics uncertainty + description: 25 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc25 sys_26: - description: 26 artificial correlated systematics uncertainty + description: 26 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc26 sys_27: - description: 27 artificial correlated systematics uncertainty + description: 27 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc27 sys_28: - description: 28 artificial correlated systematics uncertainty + description: 28 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc28 sys_29: - description: 29 artificial correlated systematics uncertainty + description: 29 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc29 sys_30: - description: 30 artificial correlated systematics uncertainty + description: 30 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc30 sys_31: - description: 31 artificial correlated systematics uncertainty + description: 31 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc31 sys_32: - description: 32 artificial correlated systematics uncertainty + description: 32 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc32 sys_33: - description: 33 artificial correlated systematics uncertainty + description: 33 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc33 sys_34: - description: 34 artificial correlated systematics uncertainty + description: 34 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc34 sys_35: - description: 35 artificial correlated systematics uncertainty + description: 35 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc35 sys_36: - description: 36 artificial correlated systematics uncertainty + description: 36 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc36 sys_37: - description: 37 artificial correlated systematics uncertainty + description: 37 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc37 sys_38: - description: 38 artificial correlated systematics uncertainty + description: 38 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc38 sys_39: - description: 39 artificial correlated systematics uncertainty + description: 39 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc39 sys_40: - description: 40 artificial correlated systematics uncertainty + description: 40 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc40 sys_41: - description: 41 artificial correlated systematics uncertainty + description: 41 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc41 sys_42: - description: 42 artificial correlated systematics uncertainty + description: 42 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc42 sys_43: - description: 43 artificial correlated systematics uncertainty + description: 43 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc43 sys_44: - description: 44 artificial correlated systematics uncertainty + description: 44 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc44 sys_45: - description: 45 artificial correlated systematics uncertainty + description: 45 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc45 sys_46: - description: 46 artificial correlated systematics uncertainty + description: 46 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc46 sys_47: - description: 47 artificial correlated systematics uncertainty + description: 47 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc47 sys_48: - description: 48 artificial correlated systematics uncertainty + description: 48 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc48 sys_49: - description: 49 artificial correlated systematics uncertainty + description: 49 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc49 sys_50: - description: 50 artificial correlated systematics uncertainty + description: 50 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc50 sys_51: - description: 51 artificial correlated systematics uncertainty + description: 51 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc51 sys_52: - description: 52 artificial correlated systematics uncertainty + description: 52 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc52 sys_53: - description: 53 artificial correlated systematics uncertainty + description: 53 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc53 sys_54: - description: 54 artificial correlated systematics uncertainty + description: 54 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc54 sys_55: - description: 55 artificial correlated systematics uncertainty + description: 55 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc55 sys_56: - description: 56 artificial correlated systematics uncertainty + description: 56 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc56 sys_57: - description: 57 artificial correlated systematics uncertainty + description: 57 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc57 sys_58: - description: 58 artificial correlated systematics uncertainty + description: 58 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc58 sys_59: - description: 59 artificial correlated systematics uncertainty + description: 59 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc59 sys_60: - description: 60 artificial correlated systematics uncertainty + description: 60 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc60 sys_61: - description: 61 artificial correlated systematics uncertainty + description: 61 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc61 sys_62: - description: 62 artificial correlated systematics uncertainty + description: 62 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc62 bins: -- stat: 0.00619 - pol: 0.00035072 +- pol: 0.00035072 lumi: 0.00047 - sys_0: -1.8442665253564098e-08 - sys_1: 9.128062228545417e-08 - sys_2: 3.0998812240715233e-07 - sys_3: -8.292100410110618e-07 - sys_4: 4.1694931675558475e-06 - sys_5: -6.482800205140772e-06 - sys_6: -1.1692842322760786e-05 - sys_7: -2.188055990118648e-06 - sys_8: 2.083391360676885e-06 - sys_9: 5.909177404229857e-07 - sys_10: -2.8997469651552793e-06 - sys_11: -7.82161091633219e-06 - sys_12: 2.243074184845698e-07 - sys_13: -2.5016530549814917e-06 - sys_14: -1.3392143113036963e-05 - sys_15: 9.360375582483164e-07 - sys_16: 2.34039418446079e-05 - sys_17: -2.4844788219751617e-06 - sys_18: -1.3673114871106006e-06 - sys_19: 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6.464743605381797e-06 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/uncertainties_B.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/uncertainties_B.yaml index 57f0656990..f91b9050ba 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/uncertainties_B.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/uncertainties_B.yaml @@ -1,8 +1,4 @@ definitions: - stat: - description: statistical uncertainty - treatment: ADD - type: UNCORR pol: description: beam polarization uncertainty treatment: MULT @@ -12,1113 +8,1100 @@ definitions: treatment: ADD type: STAR2013LUMI sys_0: - description: 0 artificial correlated systematics uncertainty + description: 0 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc0 sys_1: - description: 1 artificial correlated systematics uncertainty + description: 1 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc1 sys_2: - description: 2 artificial correlated systematics uncertainty + description: 2 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc2 sys_3: - description: 3 artificial correlated systematics uncertainty + description: 3 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc3 sys_4: - description: 4 artificial correlated systematics uncertainty + description: 4 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc4 sys_5: - description: 5 artificial correlated systematics uncertainty + description: 5 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc5 sys_6: - description: 6 artificial correlated systematics uncertainty + description: 6 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc6 sys_7: - description: 7 artificial correlated systematics uncertainty + description: 7 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc7 sys_8: - description: 8 artificial correlated systematics uncertainty + description: 8 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc8 sys_9: - description: 9 artificial correlated systematics uncertainty + description: 9 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc9 sys_10: - description: 10 artificial correlated systematics uncertainty + description: 10 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc10 sys_11: - description: 11 artificial correlated systematics uncertainty + description: 11 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc11 sys_12: - description: 12 artificial correlated systematics uncertainty + description: 12 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc12 sys_13: - description: 13 artificial correlated systematics uncertainty + description: 13 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc13 sys_14: - description: 14 artificial correlated systematics uncertainty + description: 14 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc14 sys_15: - description: 15 artificial correlated systematics uncertainty + description: 15 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc15 sys_16: - description: 16 artificial correlated systematics uncertainty + description: 16 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc16 sys_17: - description: 17 artificial correlated systematics uncertainty + description: 17 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc17 sys_18: - description: 18 artificial correlated systematics uncertainty + description: 18 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc18 sys_19: - description: 19 artificial correlated systematics uncertainty + description: 19 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc19 sys_20: - description: 20 artificial correlated systematics uncertainty + description: 20 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc20 sys_21: - description: 21 artificial correlated systematics uncertainty + description: 21 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc21 sys_22: - description: 22 artificial correlated systematics uncertainty + description: 22 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc22 sys_23: - description: 23 artificial correlated systematics uncertainty + description: 23 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc23 sys_24: - description: 24 artificial correlated systematics uncertainty + description: 24 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc24 sys_25: - description: 25 artificial correlated systematics uncertainty + description: 25 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc25 sys_26: - description: 26 artificial correlated systematics uncertainty + description: 26 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc26 sys_27: - description: 27 artificial correlated systematics uncertainty + description: 27 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc27 sys_28: - description: 28 artificial correlated systematics uncertainty + description: 28 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc28 sys_29: - description: 29 artificial correlated systematics uncertainty + description: 29 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc29 sys_30: - description: 30 artificial correlated systematics uncertainty + description: 30 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc30 sys_31: - description: 31 artificial correlated systematics uncertainty + description: 31 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc31 sys_32: - description: 32 artificial correlated systematics uncertainty + description: 32 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc32 sys_33: - description: 33 artificial correlated systematics uncertainty + description: 33 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc33 sys_34: - description: 34 artificial correlated systematics uncertainty + description: 34 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc34 sys_35: - description: 35 artificial correlated systematics uncertainty + description: 35 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc35 sys_36: - description: 36 artificial correlated systematics uncertainty + description: 36 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc36 sys_37: - description: 37 artificial correlated systematics uncertainty + description: 37 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc37 sys_38: - description: 38 artificial correlated systematics uncertainty + description: 38 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc38 sys_39: - description: 39 artificial correlated systematics uncertainty + description: 39 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc39 sys_40: - description: 40 artificial correlated systematics uncertainty + description: 40 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc40 sys_41: - description: 41 artificial correlated systematics uncertainty + description: 41 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc41 sys_42: - description: 42 artificial correlated systematics uncertainty + description: 42 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc42 sys_43: - description: 43 artificial correlated systematics uncertainty + description: 43 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc43 sys_44: - description: 44 artificial correlated systematics uncertainty + description: 44 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc44 sys_45: - description: 45 artificial correlated systematics uncertainty + description: 45 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc45 sys_46: - description: 46 artificial correlated systematics uncertainty + description: 46 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc46 sys_47: - description: 47 artificial correlated systematics uncertainty + description: 47 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc47 sys_48: - description: 48 artificial correlated systematics uncertainty + description: 48 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc48 sys_49: - description: 49 artificial correlated systematics uncertainty + description: 49 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc49 sys_50: - description: 50 artificial correlated systematics uncertainty + description: 50 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc50 sys_51: - description: 51 artificial correlated systematics uncertainty + description: 51 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc51 sys_52: - description: 52 artificial correlated systematics uncertainty + description: 52 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc52 sys_53: - description: 53 artificial correlated systematics uncertainty + description: 53 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc53 sys_54: - description: 54 artificial correlated systematics uncertainty + description: 54 artificial correlated statistical + systematics uncertainty treatment: ADD type: 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b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/uncertainties_C.yaml @@ -1,8 +1,4 @@ definitions: - stat: - description: statistical uncertainty - treatment: ADD - type: UNCORR pol: description: beam polarization uncertainty treatment: MULT @@ -12,1047 +8,1035 @@ definitions: treatment: ADD type: STAR2013LUMI sys_0: - description: 0 artificial correlated systematics uncertainty + description: 0 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc0 sys_1: - description: 1 artificial correlated systematics uncertainty + description: 1 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc1 sys_2: - description: 2 artificial correlated systematics uncertainty + description: 2 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc2 sys_3: - description: 3 artificial correlated systematics uncertainty + description: 3 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc3 sys_4: - description: 4 artificial correlated systematics uncertainty + description: 4 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc4 sys_5: - description: 5 artificial correlated systematics uncertainty + description: 5 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc5 sys_6: - description: 6 artificial correlated systematics uncertainty + description: 6 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc6 sys_7: - description: 7 artificial correlated systematics uncertainty + description: 7 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc7 sys_8: - description: 8 artificial correlated systematics uncertainty + description: 8 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc8 sys_9: - description: 9 artificial correlated systematics uncertainty + description: 9 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc9 sys_10: - description: 10 artificial correlated systematics uncertainty + description: 10 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc10 sys_11: - description: 11 artificial correlated systematics uncertainty + description: 11 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc11 sys_12: - description: 12 artificial correlated systematics uncertainty + description: 12 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc12 sys_13: - description: 13 artificial correlated systematics uncertainty + description: 13 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc13 sys_14: - description: 14 artificial correlated systematics uncertainty + description: 14 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc14 sys_15: - description: 15 artificial correlated systematics uncertainty + description: 15 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc15 sys_16: - description: 16 artificial correlated systematics uncertainty + description: 16 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc16 sys_17: - description: 17 artificial correlated systematics uncertainty + description: 17 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc17 sys_18: - description: 18 artificial correlated systematics uncertainty + description: 18 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc18 sys_19: - description: 19 artificial correlated systematics uncertainty + description: 19 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc19 sys_20: - description: 20 artificial correlated systematics uncertainty + description: 20 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc20 sys_21: - description: 21 artificial correlated systematics uncertainty + description: 21 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc21 sys_22: - description: 22 artificial correlated systematics uncertainty + description: 22 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc22 sys_23: - description: 23 artificial correlated systematics uncertainty + description: 23 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc23 sys_24: - description: 24 artificial correlated systematics uncertainty + description: 24 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc24 sys_25: - description: 25 artificial correlated systematics uncertainty + description: 25 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc25 sys_26: - description: 26 artificial correlated systematics uncertainty + description: 26 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc26 sys_27: - description: 27 artificial correlated systematics uncertainty + description: 27 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc27 sys_28: - description: 28 artificial correlated systematics uncertainty + description: 28 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc28 sys_29: - description: 29 artificial correlated systematics uncertainty + description: 29 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc29 sys_30: - description: 30 artificial correlated systematics uncertainty + description: 30 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc30 sys_31: - description: 31 artificial correlated systematics uncertainty + description: 31 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc31 sys_32: - description: 32 artificial correlated systematics uncertainty + description: 32 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc32 sys_33: - description: 33 artificial correlated systematics uncertainty + description: 33 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc33 sys_34: - description: 34 artificial correlated systematics uncertainty + description: 34 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc34 sys_35: - description: 35 artificial correlated systematics uncertainty + description: 35 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc35 sys_36: - description: 36 artificial correlated systematics uncertainty + description: 36 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc36 sys_37: - description: 37 artificial correlated systematics uncertainty + description: 37 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc37 sys_38: - description: 38 artificial correlated systematics uncertainty + description: 38 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc38 sys_39: - description: 39 artificial correlated systematics uncertainty + description: 39 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc39 sys_40: - description: 40 artificial correlated systematics uncertainty + description: 40 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc40 sys_41: - description: 41 artificial correlated systematics uncertainty + description: 41 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc41 sys_42: - description: 42 artificial correlated systematics uncertainty + description: 42 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc42 sys_43: - description: 43 artificial correlated systematics uncertainty + description: 43 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc43 sys_44: - description: 44 artificial correlated systematics uncertainty + description: 44 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc44 sys_45: - description: 45 artificial correlated systematics uncertainty + description: 45 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc45 sys_46: - description: 46 artificial correlated systematics uncertainty + description: 46 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc46 sys_47: - description: 47 artificial correlated systematics uncertainty + description: 47 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc47 sys_48: - description: 48 artificial correlated systematics uncertainty + description: 48 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc48 sys_49: - description: 49 artificial correlated systematics uncertainty + description: 49 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc49 sys_50: - description: 50 artificial correlated systematics uncertainty + description: 50 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc50 sys_51: - description: 51 artificial correlated systematics uncertainty + description: 51 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc51 sys_52: - description: 52 artificial correlated systematics uncertainty + description: 52 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc52 sys_53: - description: 53 artificial correlated systematics uncertainty + description: 53 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc53 sys_54: - description: 54 artificial correlated systematics uncertainty + description: 54 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc54 sys_55: - description: 55 artificial correlated systematics uncertainty + description: 55 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc55 sys_56: - description: 56 artificial correlated systematics uncertainty + description: 56 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc56 sys_57: - description: 57 artificial correlated systematics uncertainty + description: 57 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc57 sys_58: - description: 58 artificial correlated systematics uncertainty + description: 58 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc58 sys_59: - description: 59 artificial correlated systematics uncertainty + description: 59 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc59 sys_60: - description: 60 artificial correlated systematics uncertainty + description: 60 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc60 sys_61: - description: 61 artificial correlated systematics uncertainty + description: 61 artificial correlated statistical + systematics uncertainty treatment: ADD type: 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a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/uncertainties_D.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/uncertainties_D.yaml index a56376bc19..d549887942 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/uncertainties_D.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/uncertainties_D.yaml @@ -1,8 +1,4 @@ definitions: - stat: - description: statistical uncertainty - treatment: ADD - type: UNCORR pol: description: beam polarization uncertainty treatment: MULT @@ -12,1047 +8,1035 @@ definitions: treatment: ADD type: STAR2013LUMI sys_0: - description: 0 artificial correlated systematics uncertainty + description: 0 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc0 sys_1: - description: 1 artificial correlated systematics uncertainty + description: 1 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc1 sys_2: - description: 2 artificial correlated systematics uncertainty + description: 2 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc2 sys_3: - description: 3 artificial correlated systematics uncertainty + description: 3 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc3 sys_4: - description: 4 artificial correlated systematics uncertainty + description: 4 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc4 sys_5: - description: 5 artificial correlated systematics uncertainty + description: 5 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc5 sys_6: - description: 6 artificial correlated systematics uncertainty + description: 6 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc6 sys_7: - description: 7 artificial correlated systematics uncertainty + description: 7 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc7 sys_8: - description: 8 artificial correlated systematics uncertainty + description: 8 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc8 sys_9: - description: 9 artificial correlated systematics uncertainty + description: 9 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc9 sys_10: - description: 10 artificial correlated systematics uncertainty + description: 10 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc10 sys_11: - description: 11 artificial correlated systematics uncertainty + description: 11 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc11 sys_12: - description: 12 artificial correlated systematics uncertainty + description: 12 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc12 sys_13: - description: 13 artificial correlated systematics uncertainty + description: 13 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc13 sys_14: - description: 14 artificial correlated systematics uncertainty + description: 14 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc14 sys_15: - description: 15 artificial correlated systematics uncertainty + description: 15 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc15 sys_16: - description: 16 artificial correlated systematics uncertainty + description: 16 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc16 sys_17: - description: 17 artificial correlated systematics uncertainty + description: 17 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc17 sys_18: - description: 18 artificial correlated systematics uncertainty + description: 18 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc18 sys_19: - description: 19 artificial correlated systematics uncertainty + description: 19 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc19 sys_20: - description: 20 artificial correlated systematics uncertainty + description: 20 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc20 sys_21: - description: 21 artificial correlated systematics uncertainty + description: 21 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc21 sys_22: - description: 22 artificial correlated systematics uncertainty + description: 22 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc22 sys_23: - description: 23 artificial correlated systematics uncertainty + description: 23 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc23 sys_24: - description: 24 artificial correlated systematics uncertainty + description: 24 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc24 sys_25: - description: 25 artificial correlated systematics uncertainty + description: 25 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc25 sys_26: - description: 26 artificial correlated systematics uncertainty + description: 26 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc26 sys_27: - description: 27 artificial correlated systematics uncertainty + description: 27 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc27 sys_28: - description: 28 artificial correlated systematics uncertainty + description: 28 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc28 sys_29: - description: 29 artificial correlated systematics uncertainty + description: 29 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc29 sys_30: - description: 30 artificial correlated systematics uncertainty + description: 30 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc30 sys_31: - description: 31 artificial correlated systematics uncertainty + description: 31 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc31 sys_32: - description: 32 artificial correlated systematics uncertainty + description: 32 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc32 sys_33: - description: 33 artificial correlated systematics uncertainty + description: 33 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc33 sys_34: - description: 34 artificial correlated systematics uncertainty + description: 34 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc34 sys_35: - description: 35 artificial correlated systematics uncertainty + description: 35 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc35 sys_36: - description: 36 artificial correlated systematics uncertainty + description: 36 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc36 sys_37: - description: 37 artificial correlated systematics uncertainty + description: 37 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc37 sys_38: - description: 38 artificial correlated systematics uncertainty + description: 38 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc38 sys_39: - description: 39 artificial correlated systematics uncertainty + description: 39 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc39 sys_40: - description: 40 artificial correlated systematics uncertainty + description: 40 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc40 sys_41: - description: 41 artificial correlated systematics uncertainty + description: 41 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc41 sys_42: - description: 42 artificial correlated systematics uncertainty + description: 42 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc42 sys_43: - description: 43 artificial correlated systematics uncertainty + description: 43 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc43 sys_44: - description: 44 artificial correlated systematics uncertainty + description: 44 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc44 sys_45: - description: 45 artificial correlated systematics uncertainty + description: 45 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc45 sys_46: - description: 46 artificial correlated systematics uncertainty + description: 46 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc46 sys_47: - description: 47 artificial correlated systematics uncertainty + description: 47 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc47 sys_48: - description: 48 artificial correlated systematics uncertainty + description: 48 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc48 sys_49: - description: 49 artificial correlated systematics uncertainty + description: 49 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc49 sys_50: - description: 50 artificial correlated systematics uncertainty + description: 50 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc50 sys_51: - description: 51 artificial correlated systematics uncertainty + description: 51 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc51 sys_52: - description: 52 artificial correlated systematics uncertainty + description: 52 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc52 sys_53: - description: 53 artificial correlated systematics uncertainty + description: 53 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc53 sys_54: - description: 54 artificial correlated systematics uncertainty + description: 54 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc54 sys_55: - description: 55 artificial correlated systematics uncertainty + description: 55 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc55 sys_56: - description: 56 artificial correlated systematics uncertainty + description: 56 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc56 sys_57: - description: 57 artificial correlated systematics uncertainty + description: 57 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc57 sys_58: - description: 58 artificial correlated systematics uncertainty + description: 58 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc58 sys_59: - description: 59 artificial correlated systematics uncertainty + description: 59 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2013JETunc59 sys_60: - description: 60 artificial correlated systematics uncertainty + 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1.8784142519920598e-06 + sys_52: -6.10510110992285e-07 + sys_53: -1.1228199344917284e-06 + sys_54: -3.6508076465715218e-06 + sys_55: -8.270562802482827e-07 + sys_56: -3.4320316637608945e-06 + sys_57: -2.438266732148096e-06 + sys_58: -2.665392448752788e-06 + sys_59: -5.654915820305557e-07 + sys_60: 6.253765161472477e-07 + sys_61: -5.82714158106794e-07 + sys_62: 1.2561227554127553e-06 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/filter.py b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/filter.py index cca3b39e27..a7d08351d6 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/filter.py +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/filter.py @@ -239,11 +239,6 @@ def write_2jet_data(df, topology, art_sys): # Write unc file error = [] error_definition = { - "stat": { - "description": "statistical uncertainty", - "treatment": "ADD", - "type": "UNCORR", - }, "lumi": { "description": "luminosity uncertainty", "treatment": "ADD", @@ -258,7 +253,6 @@ def write_2jet_data(df, topology, art_sys): # loop on data points for i, sys_i in enumerate(art_sys): e = { - "stat": float(df.loc[i, "stat"]), "lumi": float(df.loc[i, "lumi"]), "pol": float(df.loc[i, "pol"]), } @@ -271,7 +265,7 @@ def write_2jet_data(df, topology, art_sys): error_definition.update( { f"sys_{j}": { - "description": f"{j} artificial correlated systematics uncertainty", + "description": f"{j} artificial correlated statistical + systematics uncertainty", "treatment": "ADD", "type": f"STAR{YEAR}JETunc{j}", } @@ -296,21 +290,13 @@ def write_2jet_data(df, topology, art_sys): # load correlations ndata_dict = {a: len(b) for a, b in dfs.items()} correlation_df = read_correlations(ndata_dict) - - # from the paper we understand that stat dijet is not correlated - # I-I (stat + sys) | I-D (stat + sys) - # D-I (stat + sys) | D-D (sys) - correlated_unc = np.sqrt( - dfs["CC"]["syst"] ** 2 + dfs["CC"]["stat"] ** 2 - ).values.tolist() - correlated_unc.extend( - np.sqrt(dfs["CF"]["syst"] ** 2 + dfs["CF"]["stat"] ** 2).values.tolist() - ) - for a in (*TOPOPLOGY_LIST,)[2:]: - correlated_unc.extend(dfs[a]["syst"].values) - - # decompose uncertainties - ndata_dict = {a: len(b) for a, b in dfs.items()} + # sum stat and syst for both jet and dijets as recommended + # by E.Aschenauer, see https://github.com/NNPDF/nnpdf/pull/2035#issuecomment-2201979662 + correlated_unc = [] + for a in TOPOPLOGY_LIST: + correlated_unc.extend( + np.sqrt(dfs[a]["syst"] ** 2 + dfs[a]["stat"] ** 2).values.tolist() + ) ndata_points = np.sum((*ndata_dict.values(),)) art_sys = np.array(compute_covmat(correlation_df, correlated_unc, ndata_points)) diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/uncertainties_CC.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/uncertainties_CC.yaml index 9746ba001b..e9f0e63bde 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/uncertainties_CC.yaml +++ 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sys_26: -2.7187395489441307e-08 + sys_27: -1.5800123345631692e-09 + sys_28: -5.97458953517806e-08 + sys_29: 9.891048794493751e-08 + sys_30: 1.216510795388191e-07 + sys_31: 6.430903620001199e-08 + sys_32: -1.8781384964506675e-07 + sys_33: 8.320391742769609e-08 + sys_34: 2.3072498123408804e-07 + sys_35: -2.8885604034905375e-08 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/uncertainties_OS.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/uncertainties_OS.yaml index 110235f85b..9099d415c4 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/uncertainties_OS.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/uncertainties_OS.yaml @@ -1,8 +1,4 @@ definitions: - stat: - description: statistical uncertainty - treatment: ADD - type: UNCORR lumi: description: luminosity uncertainty treatment: ADD @@ -12,420 +8,413 @@ definitions: treatment: MULT type: STAR2015POL sys_0: - description: 0 artificial correlated systematics uncertainty + description: 0 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2015JETunc0 sys_1: - description: 1 artificial correlated systematics uncertainty + description: 1 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2015JETunc1 sys_2: - description: 2 artificial correlated systematics uncertainty + description: 2 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2015JETunc2 sys_3: - description: 3 artificial correlated systematics uncertainty + description: 3 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2015JETunc3 sys_4: - description: 4 artificial correlated systematics uncertainty + description: 4 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2015JETunc4 sys_5: - description: 5 artificial correlated systematics uncertainty + description: 5 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2015JETunc5 sys_6: - description: 6 artificial correlated systematics uncertainty + description: 6 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2015JETunc6 sys_7: - description: 7 artificial correlated systematics uncertainty + description: 7 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2015JETunc7 sys_8: - description: 8 artificial correlated systematics uncertainty + description: 8 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2015JETunc8 sys_9: - description: 9 artificial correlated systematics uncertainty + description: 9 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2015JETunc9 sys_10: - description: 10 artificial correlated systematics uncertainty + description: 10 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2015JETunc10 sys_11: - description: 11 artificial correlated systematics uncertainty + description: 11 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2015JETunc11 sys_12: - description: 12 artificial correlated systematics uncertainty + description: 12 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2015JETunc12 sys_13: - description: 13 artificial correlated systematics uncertainty + description: 13 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2015JETunc13 sys_14: - description: 14 artificial correlated systematics uncertainty + description: 14 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2015JETunc14 sys_15: - description: 15 artificial correlated systematics uncertainty + description: 15 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2015JETunc15 sys_16: - description: 16 artificial correlated systematics uncertainty + description: 16 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2015JETunc16 sys_17: - description: 17 artificial correlated systematics uncertainty + description: 17 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2015JETunc17 sys_18: - description: 18 artificial correlated systematics uncertainty + description: 18 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2015JETunc18 sys_19: - description: 19 artificial correlated systematics uncertainty + description: 19 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2015JETunc19 sys_20: - description: 20 artificial correlated systematics uncertainty + description: 20 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2015JETunc20 sys_21: - description: 21 artificial correlated systematics uncertainty + description: 21 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2015JETunc21 sys_22: - description: 22 artificial correlated systematics uncertainty + description: 22 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2015JETunc22 sys_23: - description: 23 artificial correlated systematics uncertainty + description: 23 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2015JETunc23 sys_24: - description: 24 artificial correlated systematics uncertainty + description: 24 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2015JETunc24 sys_25: - description: 25 artificial correlated systematics uncertainty + description: 25 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2015JETunc25 sys_26: - description: 26 artificial correlated systematics uncertainty + description: 26 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2015JETunc26 sys_27: - description: 27 artificial correlated systematics uncertainty + description: 27 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2015JETunc27 sys_28: - description: 28 artificial correlated systematics uncertainty + description: 28 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2015JETunc28 sys_29: - description: 29 artificial correlated systematics uncertainty + description: 29 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2015JETunc29 sys_30: - description: 30 artificial correlated systematics uncertainty + description: 30 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2015JETunc30 sys_31: - description: 31 artificial correlated systematics uncertainty + description: 31 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2015JETunc31 sys_32: - description: 32 artificial correlated systematics uncertainty + description: 32 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2015JETunc32 sys_33: - description: 33 artificial correlated systematics uncertainty + description: 33 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2015JETunc33 sys_34: - description: 34 artificial correlated systematics uncertainty + description: 34 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2015JETunc34 sys_35: - description: 35 artificial correlated systematics uncertainty + description: 35 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2015JETunc35 bins: -- stat: 0.004 - lumi: 0.0007 +- lumi: 0.0007 pol: 0.00040869999999999996 - sys_0: -1.1061320396018662e-06 - sys_1: 2.1718755370553993e-06 - sys_2: -2.5830445253971692e-06 - sys_3: 3.6296783741788805e-06 - sys_4: 3.5884643423664896e-06 - sys_5: 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-4.2882155736304875e-05 + sys_13: -5.62898129946584e-06 + sys_14: -4.391190605927062e-06 + sys_15: 1.3679684584656604e-05 + sys_16: -1.0929965747918132e-05 + sys_17: 3.248069246700459e-07 + sys_18: -3.6970779578645243e-06 + sys_19: -4.823180645610675e-06 + sys_20: -1.8777073287709331e-06 + sys_21: -3.058748592871662e-06 + sys_22: -1.1655689871601464e-06 + sys_23: -1.5037257067537078e-07 + sys_24: -4.02190507576274e-06 + sys_25: 1.1889694206987331e-06 + sys_26: -2.777419405467811e-08 + sys_27: 1.126440180656962e-07 + sys_28: -4.187989741644149e-08 + sys_29: -3.1900853225573806e-08 + sys_30: 7.527460311725738e-08 + sys_31: -1.3181370397918372e-07 + sys_32: -1.3089386915970926e-07 + sys_33: -2.3655852829065698e-07 + sys_34: 3.832321675464542e-07 + sys_35: 6.289476894114971e-10 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/uncertainties_SS.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/uncertainties_SS.yaml index 35bd6533dc..69af9aac46 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/uncertainties_SS.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/uncertainties_SS.yaml @@ -1,8 +1,4 @@ definitions: - stat: - description: statistical uncertainty - treatment: ADD - type: UNCORR lumi: description: luminosity uncertainty treatment: ADD @@ -12,420 +8,413 @@ definitions: treatment: MULT type: STAR2015POL sys_0: - description: 0 artificial correlated systematics uncertainty + description: 0 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2015JETunc0 sys_1: - description: 1 artificial correlated systematics uncertainty + description: 1 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2015JETunc1 sys_2: - description: 2 artificial correlated systematics uncertainty + description: 2 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2015JETunc2 sys_3: - description: 3 artificial correlated systematics uncertainty + description: 3 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2015JETunc3 sys_4: - description: 4 artificial correlated systematics uncertainty + description: 4 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2015JETunc4 sys_5: - description: 5 artificial correlated systematics uncertainty + description: 5 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2015JETunc5 sys_6: - description: 6 artificial correlated systematics uncertainty + description: 6 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2015JETunc6 sys_7: - description: 7 artificial correlated systematics uncertainty + description: 7 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2015JETunc7 sys_8: - description: 8 artificial correlated systematics uncertainty + description: 8 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2015JETunc8 sys_9: - description: 9 artificial correlated systematics uncertainty + description: 9 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2015JETunc9 sys_10: - description: 10 artificial correlated systematics uncertainty + description: 10 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2015JETunc10 sys_11: - description: 11 artificial correlated systematics uncertainty + description: 11 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2015JETunc11 sys_12: - description: 12 artificial correlated systematics uncertainty + description: 12 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2015JETunc12 sys_13: - description: 13 artificial correlated systematics uncertainty + description: 13 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2015JETunc13 sys_14: - description: 14 artificial correlated systematics uncertainty + description: 14 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2015JETunc14 sys_15: - description: 15 artificial correlated systematics uncertainty + description: 15 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2015JETunc15 sys_16: - description: 16 artificial correlated systematics uncertainty + description: 16 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2015JETunc16 sys_17: - description: 17 artificial correlated systematics uncertainty + description: 17 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2015JETunc17 sys_18: - description: 18 artificial correlated systematics uncertainty + description: 18 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2015JETunc18 sys_19: - description: 19 artificial correlated systematics uncertainty + description: 19 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2015JETunc19 sys_20: - description: 20 artificial correlated systematics uncertainty + description: 20 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2015JETunc20 sys_21: - description: 21 artificial correlated systematics uncertainty + description: 21 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2015JETunc21 sys_22: - description: 22 artificial correlated systematics uncertainty + description: 22 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2015JETunc22 sys_23: - description: 23 artificial correlated systematics uncertainty + description: 23 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2015JETunc23 sys_24: - description: 24 artificial correlated systematics uncertainty + description: 24 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2015JETunc24 sys_25: - description: 25 artificial correlated systematics uncertainty + description: 25 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2015JETunc25 sys_26: - description: 26 artificial correlated systematics uncertainty + description: 26 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2015JETunc26 sys_27: - description: 27 artificial correlated systematics uncertainty + description: 27 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2015JETunc27 sys_28: - description: 28 artificial correlated systematics uncertainty + description: 28 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2015JETunc28 sys_29: - description: 29 artificial correlated systematics uncertainty + description: 29 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2015JETunc29 sys_30: - description: 30 artificial correlated systematics uncertainty + description: 30 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2015JETunc30 sys_31: - description: 31 artificial correlated systematics uncertainty + description: 31 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2015JETunc31 sys_32: - description: 32 artificial correlated systematics uncertainty + description: 32 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2015JETunc32 sys_33: - description: 33 artificial correlated systematics uncertainty + description: 33 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2015JETunc33 sys_34: - description: 34 artificial correlated systematics uncertainty + description: 34 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2015JETunc34 sys_35: - description: 35 artificial correlated systematics uncertainty + description: 35 artificial correlated statistical + systematics uncertainty treatment: ADD type: STAR2015JETunc35 bins: -- stat: 0.0036 - lumi: 0.0007 +- lumi: 0.0007 pol: 0.0004331 - sys_0: -1.993644240492427e-06 - sys_1: 3.920582178397754e-06 - sys_2: -4.666612808032058e-06 - sys_3: 6.586698567296014e-06 - sys_4: 6.5349662941488195e-06 - sys_5: -1.16515450884791e-05 - sys_6: -5.496785522473897e-06 - sys_7: 1.762865211871457e-05 - sys_8: -1.0821835182250246e-05 - sys_9: -3.891856621967208e-05 - sys_10: -3.880832371662888e-06 - sys_11: -2.1666813619539386e-05 - sys_12: 1.2134046155466599e-05 - sys_13: -3.788947274399712e-05 - sys_14: 9.343191317613612e-07 - sys_15: -3.2595563303084586e-05 - sys_16: -2.6269747717531737e-06 - sys_17: 6.884391026037052e-06 - sys_18: -2.612679198588861e-05 - sys_19: -9.659403622314088e-05 - sys_20: 6.744908859540219e-06 - sys_21: 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sys_28: -9.36392593651474e-08 + sys_29: 2.1710453159270453e-08 + sys_30: 2.0820040688300134e-07 + sys_31: 1.1228233543167254e-08 + sys_32: -3.96824653172278e-07 + sys_33: -6.644355315771639e-10 + sys_34: 2.792066496877991e-07 + sys_35: -6.980638791207585e-08 From a2941ae9d8602c229eb1d81f190e116b076a97bd Mon Sep 17 00:00:00 2001 From: giacomomagni Date: Wed, 3 Jul 2024 10:07:26 +0200 Subject: [PATCH 62/70] implement 2004 1JET data --- .../STAR_2004_1JET_200GEV/data.yaml | 7 ++ .../STAR_2004_1JET_200GEV/filter.py | 93 +++++++++++++++++++ .../STAR_2004_1JET_200GEV/kinematics.yaml | 73 +++++++++++++++ .../STAR_2004_1JET_200GEV/metadata.yaml | 56 +++++++++++ .../rawdata/HEPData-ins723509-v1-Figure_3.csv | 16 ++++ .../STAR_2004_1JET_200GEV/uncertainties.yaml | 32 +++++++ 6 files changed, 277 insertions(+) create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2004_1JET_200GEV/data.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2004_1JET_200GEV/filter.py create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2004_1JET_200GEV/kinematics.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2004_1JET_200GEV/metadata.yaml create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2004_1JET_200GEV/rawdata/HEPData-ins723509-v1-Figure_3.csv create mode 100644 nnpdf_data/nnpdf_data/new_commondata/STAR_2004_1JET_200GEV/uncertainties.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2004_1JET_200GEV/data.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2004_1JET_200GEV/data.yaml new file mode 100644 index 0000000000..4223da7b92 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2004_1JET_200GEV/data.yaml @@ -0,0 +1,7 @@ +data_central: +- 0.014 +- -0.066 +- -0.019 +- -0.015 +- -0.009 +- 0.004 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2004_1JET_200GEV/filter.py b/nnpdf_data/nnpdf_data/new_commondata/STAR_2004_1JET_200GEV/filter.py new file mode 100644 index 0000000000..67d95de3e1 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2004_1JET_200GEV/filter.py @@ -0,0 +1,93 @@ +"""This script provides the filer to the inclusive jet STAR 2004 dataset.""" +import pandas as pd +import yaml + +POL_UNC = 0.25 +SQRTS = 200 +ETA_MIN = 0.2 +ETA_MAX = 0.8 + + +def read_data(): + df = pd.DataFrame() + file_raw = "HEPData-ins723509-v1-Figure_3.csv" + with open(f"rawdata/{file_raw}", "r", encoding="utf-8") as file: + df = pd.read_csv(file, skiprows=8) + + df["stat"] = df["stat +"] + df["sys"] = df["syst +"] + df["pol"] = POL_UNC * abs(df["$A_{LL}$"]) + df["sqrts"] = SQRTS + df["eta"] = (ETA_MAX + ETA_MIN) / 2 + return df + + +def write_data(df): + data_central = [] + for i in range(len(df["$A_{LL}$"])): + data_central.append(float(df.loc[i, "$A_{LL}$"])) + + data_central_yaml = {"data_central": data_central} + with open("data.yaml", "w", encoding="utf-8") as file: + yaml.dump(data_central_yaml, file, sort_keys=False) + + # Write kin file + kin = [] + for i in range(len(df["$A_{LL}$"])): + kin_value = { + "pT": { + "min": float(df.loc[i, "$p_T (GeV/c)$ LOW"]), + "mid": float(df.loc[i, "$p_T (GeV/c)$"]), + "max": float(df.loc[i, "$p_T (GeV/c)$ HIGH"]), + }, + "sqrts": {"min": None, "mid": float(df.loc[i, "sqrts"]), "max": None}, + "eta": { + "min": ETA_MIN, + "mid": float(df.loc[i, "eta"]), + "max": ETA_MAX, + }, + } + kin.append(kin_value) + + kinematics_yaml = {"bins": kin} + + with open("kinematics.yaml", "w", encoding="utf-8") as file: + yaml.dump(kinematics_yaml, file, sort_keys=False) + + # Write unc file + error = [] + for i in range(len(df)): + e = { + "stat": float(df.loc[i, "stat"]), + "sys": float(df.loc[i, "sys"]), + "pol": float(df.loc[i, "pol"]), + } + error.append(e) + + error_definition = { + "stat": { + "description": "statistical uncertainty", + "treatment": "ADD", + "type": "UNCORR", + }, + "sys": { + "description": "systematic uncertainty", + "treatment": "ADD", + "type": "UNCORR", + }, + "pol": { + "description": "beam polarization uncertainty", + "treatment": "MULT", + "type": "RHIC2004POL", + }, + } + + uncertainties_yaml = {"definitions": error_definition, "bins": error} + + with open("uncertainties.yaml", "w", encoding="utf-8") as file: + yaml.dump(uncertainties_yaml, file, sort_keys=False) + + +if __name__ == "__main__": + df = read_data() + write_data(df) diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2004_1JET_200GEV/kinematics.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2004_1JET_200GEV/kinematics.yaml new file mode 100644 index 0000000000..b44cdedd5e --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2004_1JET_200GEV/kinematics.yaml @@ -0,0 +1,73 @@ +bins: +- pT: + min: 5.0 + mid: 5.5 + max: 6.2 + sqrts: + min: null + mid: 200.0 + max: null + eta: + min: 0.2 + mid: 0.5 + max: 0.8 +- pT: + min: 6.2 + mid: 6.8 + max: 7.6 + sqrts: + min: null + mid: 200.0 + max: null + eta: + min: 0.2 + mid: 0.5 + max: 0.8 +- pT: + min: 7.6 + mid: 8.3 + max: 9.3 + sqrts: + min: null + mid: 200.0 + max: null + eta: + min: 0.2 + mid: 0.5 + max: 0.8 +- pT: + min: 9.3 + mid: 10.2 + max: 11.4 + sqrts: + min: null + mid: 200.0 + max: null + eta: + min: 0.2 + mid: 0.5 + max: 0.8 +- pT: + min: 11.4 + mid: 12.6 + max: 14.1 + sqrts: + min: null + mid: 200.0 + max: null + eta: + min: 0.2 + mid: 0.5 + max: 0.8 +- pT: + min: 14.1 + mid: 15.4 + max: 17.3 + sqrts: + min: null + mid: 200.0 + max: null + eta: + min: 0.2 + mid: 0.5 + max: 0.8 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2004_1JET_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2004_1JET_200GEV/metadata.yaml new file mode 100644 index 0000000000..fb20c359a6 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2004_1JET_200GEV/metadata.yaml @@ -0,0 +1,56 @@ +setname: "STAR_2004_1JET_200GEV" + +nnpdf_metadata: + experiment: "STAR" + nnpdf31_process: "JETS" + +arXiv: + url: https://arxiv.org/abs/hep-ex/0608030 +iNSPIRE: + url: https://inspirehep.net/literature/723509 +hepdata: + url: https://www.hepdata.net/record/ins723509 + version: 1 + +version: 1 +version_comment: "Initial implementation" + +implemented_observables: + - observable: { description: "ALL w.r.t. pT", label: "$A_{LL}$", units: "" } + observable_name: ALL + process_type: JET_POL + ndata: 6 + tables: [3] + npoints: [6] + kinematics: + variables: + pT: + { + description: "mean transverse momentum", + label: '$\langle pT \rangle$', + units: "$GeV$", + } + sqrts: + { + description: "center of mass energy", + label: '$\sqrt{s}$', + units: "$GeV$", + } + eta: { description: "pseudorapidity", label: '$\eta$', units: "" } + + file: kinematics.yaml + data_central: data.yaml + data_uncertainties: + - uncertainties.yaml + kinematic_coverage: [pT, sqrts, eta] + plotting: + kinematics_override: identity + dataset_label: "$A_{LL}$" + plot_x: pT + x_scale: log + y_label: "$A_{LL}$" + theory: + FK_tables: + - - STAR_2004_1JET_200GEV_ALL-POL + - - STAR_2004_1JET_200GEV_ALL-UNPOL + operation: "ratio" \ No newline at end of file diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2004_1JET_200GEV/rawdata/HEPData-ins723509-v1-Figure_3.csv b/nnpdf_data/nnpdf_data/new_commondata/STAR_2004_1JET_200GEV/rawdata/HEPData-ins723509-v1-Figure_3.csv new file mode 100644 index 0000000000..4dbeeb23ae --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2004_1JET_200GEV/rawdata/HEPData-ins723509-v1-Figure_3.csv @@ -0,0 +1,16 @@ +8#: table_doi: 10.17182/hepdata.104928.v1/t3 +#: name: Figure 3 +#: description: The longitudinal double-spin asymmetry ALL in p+p-> jet +X at sqrt(s) = 200 GeV versus jet pT. The uncertainties on the data points are statistical. The gray band indicates the systematic uncertainty from the beam polarization measurement, and the hatched band the total systematic uncertainty. The curves show predictions based on deep-inelastic scattering parametrizations of gluon polarization. +#: data_file: Figure_3.yaml +#: keyword reactions: pp --> jet + X +#: keyword cmenergies: 200 +#: keyword phrases: jets | RHIC | STAR +#: $p_T (GeV/c)$,,,Filled circles (high tower trigger) +$p_T (GeV/c)$,$p_T (GeV/c)$ LOW,$p_T (GeV/c)$ HIGH,$A_{LL}$,stat +,stat -,syst +,syst - +5.5,5.0,6.2,0.014,0.022,-0.022,0.015,-0.015 +6.8,6.2,7.6,-0.066,0.024,-0.024,0.022,-0.022 +8.3,7.6,9.3,-0.019,0.029,-0.029,0.015,-0.015 +10.2,9.3,11.4,-0.015,0.038,-0.038,0.015,-0.015 +12.6,11.4,14.1,-0.009,0.052,-0.052,0.015,-0.015 +15.4,14.1,17.3,0.004,0.075,-0.075,0.015,-0.015 + diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2004_1JET_200GEV/uncertainties.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2004_1JET_200GEV/uncertainties.yaml new file mode 100644 index 0000000000..fdef3b1d93 --- /dev/null +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2004_1JET_200GEV/uncertainties.yaml @@ -0,0 +1,32 @@ +definitions: + stat: + description: statistical uncertainty + treatment: ADD + type: UNCORR + sys: + description: systematic uncertainty + treatment: ADD + type: UNCORR + pol: + description: beam polarization uncertainty + treatment: MULT + type: RHIC2004POL +bins: +- stat: 0.022 + sys: 0.015 + pol: 0.0035 +- stat: 0.024 + sys: 0.022 + pol: 0.0165 +- stat: 0.029 + sys: 0.015 + pol: 0.00475 +- stat: 0.038 + sys: 0.015 + pol: 0.00375 +- stat: 0.052 + sys: 0.015 + pol: 0.00225 +- stat: 0.075 + sys: 0.015 + pol: 0.001 From 9b90f155ca0966d879100bb081e2e46038fb43a1 Mon Sep 17 00:00:00 2001 From: Giacomo Magni Date: Fri, 12 Jul 2024 23:35:14 +0200 Subject: [PATCH 63/70] init dijet eta implementation --- .../STAR_2009_1JET_200GEV/filter.py | 51 ++++++++++++++++--- validphys2/src/validphys/process_options.py | 6 ++- 2 files changed, 48 insertions(+), 9 deletions(-) diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/filter.py b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/filter.py index 8fb1f5345a..a2703b3db3 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/filter.py +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/filter.py @@ -17,6 +17,17 @@ HERE = pathlib.Path(__file__).parent +DIJET_TOPO_DEF = { + "B": {"eta1_min": -0.8, "eta1_max": 0, "eta2_min": 0.8, "eta2_max": 1.8}, + "C": {"eta1_min": 0, "eta1_max": 0.8, "eta2_min": 0.8, "eta2_max": 1.8}, + "A": {"eta1_min": 0.8, "eta1_max": 1.8, "eta2_min": 0.8, "eta2_max": 1.8}, + "SS": {"abs_eta_min": 0, "abs_eta_max": 0.8}, + "OS": {"abs_eta_min": 0, "abs_eta_max": 0.8}, + "CC": {"abs_eta_min": 0, "abs_eta_max": 0.5}, + "CF": {"abs_eta_min": 0.5, "abs_eta_max": 1.0}, +} + + def read_1jet_data(topology): tab_number = 3 if "CC" in topology else 4 fnames = [ @@ -52,13 +63,8 @@ def read_1jet_data(topology): # dfc.loc[binx, biny] = dfc_col.loc[i, "val"] # dfc = dfc.astype("float") - if topology == "CC": - df["abs_eta_min"] = 0.0 - df["abs_eta_max"] = 0.5 - elif topology == "CF": - df["abs_eta_min"] = 0.5 - df["abs_eta_max"] = 1.0 - + df["abs_eta_min"] = DIJET_TOPO_DEF[topology]["abs_eta_min"] + df["abs_eta_max"] = DIJET_TOPO_DEF[topology]["abs_eta_max"] df["stat"] = df["stat_max"] df["sys"] = df["sys_max"] df["pol"] = POL_UNC * abs(df["ALL"]) @@ -98,6 +104,12 @@ def read_2jet_data(topology): ignore_index=True, ) df["m"] = (df["m_low"] + df["m_high"]) / 2 + df["eta1_min"] = DIJET_TOPO_DEF[topology]["eta1_min"] + df["eta1_max"] = DIJET_TOPO_DEF[topology]["eta1_max"] + df["eta2_min"] = DIJET_TOPO_DEF[topology]["eta2_min"] + df["eta2_max"] = DIJET_TOPO_DEF[topology]["eta2_max"] + df["eta1"] = (df["eta1_min"] + df["eta1_max"]) / 2 + df["eta2"] = (df["eta2_min"] + df["eta2_max"]) / 2 else: Msub = data["dependent_variables"][0]["values"] Gsub = data["dependent_variables"][1]["values"] @@ -112,6 +124,8 @@ def read_2jet_data(topology): "ALL": [Gsub[i]["value"]], "stat": [Gsub[i]["errors"][0]["symerror"]], "sys": [Gsub[i]["errors"][1]["symerror"]], + "abs_eta_min": DIJET_TOPO_DEF[topology]["abs_eta_min"], + "abs_eta_max": DIJET_TOPO_DEF[topology]["abs_eta_max"], } ), ], @@ -215,11 +229,32 @@ def write_2jet_data(df, topology, art_sys): "max": float(df.loc[i, "m_high"]), }, "sqrts": {"min": None, "mid": float(df.loc[i, "sqrts"]), "max": None}, + "eta_1": { + "min": float(df.loc[i, "eta1_min"]), + "mid": float(df.loc[i, "eta1"]), + "max": float(df.loc[i, "eta1_max"]), + }, + "eta_2": { + "min": float(df.loc[i, "eta1_min"]), + "mid": float(df.loc[i, "eta1"]), + "max": float(df.loc[i, "eta1_max"]), + }, } except: + df["abs_eta"] = (df["abs_eta_min"] + df["abs_eta_max"]) / 2 kin_value = { "m_jj": {"min": None, "mid": float(df.loc[i, "m"]), "max": None}, "sqrts": {"min": None, "mid": float(df.loc[i, "sqrts"]), "max": None}, + "abs_eta_1": { + "min": float(df.loc[i, "abs_eta_min"]), + "mid": float(df.loc[i, "abs_eta"]), + "max": float(df.loc[i, "abs_eta_max"]), + }, + "abs_eta_2": { + "min": float(df.loc[i, "abs_eta_min"]), + "mid": float(df.loc[i, "abs_eta"]), + "max": float(df.loc[i, "abs_eta_max"]), + }, } kin.append(kin_value) kinematics_yaml = {"bins": kin} @@ -288,7 +323,7 @@ def write_2jet_data(df, topology, art_sys): ) # from the supplement material: # https://journals.aps.org/prd/supplemental/10.1103/PhysRevD.98.032011/Supplementalmaterial.pdf - # we understand that stat jet and dijet are correlated, + # we understand that stat jet and dijet are correlated, # see also https://github.com/NNPDF/nnpdf/pull/2035#issuecomment-2201979662 correlated_unc = [] for a in TOPOPLOGY_LIST: diff --git a/validphys2/src/validphys/process_options.py b/validphys2/src/validphys/process_options.py index 7e7fd0a583..26bbe6875a 100644 --- a/validphys2/src/validphys/process_options.py +++ b/validphys2/src/validphys/process_options.py @@ -32,6 +32,10 @@ class _Vars: abs_eta = "abs_eta" m_W2 = "m_W2" m_Z2 = "m_Z2" + abs_eta_1 = "abs_eta_1" + abs_eta_2 = "abs_eta_2" + eta_1 = "eta_1" + eta_2 = "eta_2" class _KinematicsInformation: @@ -266,7 +270,7 @@ def _dybosonpt_xq2map(kin_dict): DIJET_POL = _Process( "DIJET_POL", "Longitudinal double-spin asymmetry in dijets production", - accepted_variables=(_Vars.m_jj, _Vars.sqrts), + accepted_variables=(_Vars.m_jj, _Vars.sqrts, _Vars.abs_eta_2, _Vars.abs_eta_1, _Vars.eta_1, _Vars.eta_2), xq2map_function=_dijets_xq2map, ) From 45b9f90f56546bab4621ea1ae5354689834c88f9 Mon Sep 17 00:00:00 2001 From: giacomomagni Date: Sat, 13 Jul 2024 00:46:35 +0200 Subject: [PATCH 64/70] add eta variables to star data --- .../STAR_2009_1JET_200GEV/filter.py | 26 ++-- .../STAR_2009_2JET_200GEV/kinematics_A.yaml | 50 ++++++- .../STAR_2009_2JET_200GEV/kinematics_B.yaml | 70 +++++++++- .../STAR_2009_2JET_200GEV/kinematics_C.yaml | 70 +++++++++- .../STAR_2009_2JET_200GEV/metadata.yaml | 12 +- .../kinematics_OS.yaml | 70 +++++++++- .../kinematics_SS.yaml | 70 +++++++++- .../metadata.yaml | 8 +- .../STAR_2012_1JET_510GEV/filter.py | 51 ++++++- .../STAR_2012_2JET_510GEV/kinematics_A.yaml | 100 ++++++++++++-- .../STAR_2012_2JET_510GEV/kinematics_B.yaml | 110 +++++++++++++-- .../STAR_2012_2JET_510GEV/kinematics_C.yaml | 100 ++++++++++++-- .../STAR_2012_2JET_510GEV/kinematics_D.yaml | 110 +++++++++++++-- .../STAR_2012_2JET_510GEV/metadata.yaml | 16 ++- .../STAR_2013_1JET_510GEV/filter.py | 29 +++- .../STAR_2013_2JET_510GEV/kinematics_A.yaml | 120 ++++++++++++++-- .../STAR_2013_2JET_510GEV/kinematics_B.yaml | 130 ++++++++++++++++-- .../STAR_2013_2JET_510GEV/kinematics_C.yaml | 120 ++++++++++++++-- .../STAR_2013_2JET_510GEV/kinematics_D.yaml | 120 ++++++++++++++-- .../STAR_2013_2JET_510GEV/metadata.yaml | 16 ++- .../STAR_2015_1JET_200GEV/filter.py | 36 ++++- .../kinematics_OS.yaml | 70 +++++++++- .../kinematics_SS.yaml | 70 +++++++++- .../metadata.yaml | 8 +- 24 files changed, 1403 insertions(+), 179 deletions(-) diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/filter.py b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/filter.py index a2703b3db3..9f85dfe8c9 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/filter.py +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/filter.py @@ -16,8 +16,10 @@ YEAR = 2009 HERE = pathlib.Path(__file__).parent - -DIJET_TOPO_DEF = { +# NOTE: this is not the full relevant as the observable is symmetric +# for jet1 and jet2, so 1 and 2 are not ordered in pT and the +# information about the sign in missing. +TOPO_DEF = { "B": {"eta1_min": -0.8, "eta1_max": 0, "eta2_min": 0.8, "eta2_max": 1.8}, "C": {"eta1_min": 0, "eta1_max": 0.8, "eta2_min": 0.8, "eta2_max": 1.8}, "A": {"eta1_min": 0.8, "eta1_max": 1.8, "eta2_min": 0.8, "eta2_max": 1.8}, @@ -63,14 +65,14 @@ def read_1jet_data(topology): # dfc.loc[binx, biny] = dfc_col.loc[i, "val"] # dfc = dfc.astype("float") - df["abs_eta_min"] = DIJET_TOPO_DEF[topology]["abs_eta_min"] - df["abs_eta_max"] = DIJET_TOPO_DEF[topology]["abs_eta_max"] + df["abs_eta_min"] = TOPO_DEF[topology]["abs_eta_min"] + df["abs_eta_max"] = TOPO_DEF[topology]["abs_eta_max"] + df["abs_eta"] = (df["abs_eta_min"] + df["abs_eta_max"]) / 2 df["stat"] = df["stat_max"] df["sys"] = df["sys_max"] df["pol"] = POL_UNC * abs(df["ALL"]) df["lumi"] = LUMI_UNC df["sqrts"] = 200 - df["abs_eta"] = (df["abs_eta_min"] + df["abs_eta_max"]) / 2 return df @@ -104,10 +106,10 @@ def read_2jet_data(topology): ignore_index=True, ) df["m"] = (df["m_low"] + df["m_high"]) / 2 - df["eta1_min"] = DIJET_TOPO_DEF[topology]["eta1_min"] - df["eta1_max"] = DIJET_TOPO_DEF[topology]["eta1_max"] - df["eta2_min"] = DIJET_TOPO_DEF[topology]["eta2_min"] - df["eta2_max"] = DIJET_TOPO_DEF[topology]["eta2_max"] + df["eta1_min"] = TOPO_DEF[topology]["eta1_min"] + df["eta1_max"] = TOPO_DEF[topology]["eta1_max"] + df["eta2_min"] = TOPO_DEF[topology]["eta2_min"] + df["eta2_max"] = TOPO_DEF[topology]["eta2_max"] df["eta1"] = (df["eta1_min"] + df["eta1_max"]) / 2 df["eta2"] = (df["eta2_min"] + df["eta2_max"]) / 2 else: @@ -124,8 +126,8 @@ def read_2jet_data(topology): "ALL": [Gsub[i]["value"]], "stat": [Gsub[i]["errors"][0]["symerror"]], "sys": [Gsub[i]["errors"][1]["symerror"]], - "abs_eta_min": DIJET_TOPO_DEF[topology]["abs_eta_min"], - "abs_eta_max": DIJET_TOPO_DEF[topology]["abs_eta_max"], + "abs_eta_min": TOPO_DEF[topology]["abs_eta_min"], + "abs_eta_max": TOPO_DEF[topology]["abs_eta_max"], } ), ], @@ -240,7 +242,7 @@ def write_2jet_data(df, topology, art_sys): "max": float(df.loc[i, "eta1_max"]), }, } - except: + except KeyError: df["abs_eta"] = (df["abs_eta_min"] + df["abs_eta_max"]) / 2 kin_value = { "m_jj": {"min": None, "mid": float(df.loc[i, "m"]), "max": None}, diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/kinematics_A.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/kinematics_A.yaml index 23089be979..e138d46f01 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/kinematics_A.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/kinematics_A.yaml @@ -1,5 +1,13 @@ bins: -- m_jj: +- eta_1: + max: 1.8 + mid: 1.3 + min: 0.8 + eta_2: + max: 1.8 + mid: 1.3 + min: 0.8 + m_jj: max: 19.38 mid: 18.5 min: 17.62 @@ -7,7 +15,15 @@ bins: max: null mid: 200.0 min: null -- m_jj: +- eta_1: + max: 1.8 + mid: 1.3 + min: 0.8 + eta_2: + max: 1.8 + mid: 1.3 + min: 0.8 + m_jj: max: 22.9 mid: 21.7 min: 20.5 @@ -15,7 +31,15 @@ bins: max: null mid: 200.0 min: null -- m_jj: +- eta_1: + max: 1.8 + mid: 1.3 + min: 0.8 + eta_2: + max: 1.8 + mid: 1.3 + min: 0.8 + m_jj: max: 27.59 mid: 26.310000000000002 min: 25.03 @@ -23,7 +47,15 @@ bins: max: null mid: 200.0 min: null -- m_jj: +- eta_1: + max: 1.8 + mid: 1.3 + min: 0.8 + eta_2: + max: 1.8 + mid: 1.3 + min: 0.8 + m_jj: max: 33.48 mid: 31.74 min: 30.0 @@ -31,7 +63,15 @@ bins: max: null mid: 200.0 min: null -- m_jj: +- eta_1: + max: 1.8 + mid: 1.3 + min: 0.8 + eta_2: + max: 1.8 + mid: 1.3 + min: 0.8 + m_jj: max: 40.39 mid: 38.879999999999995 min: 37.37 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/kinematics_B.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/kinematics_B.yaml index a895b8bdcd..a7e4f147bb 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/kinematics_B.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/kinematics_B.yaml @@ -1,5 +1,13 @@ bins: -- m_jj: +- eta_1: + max: 0.0 + mid: -0.4 + min: -0.8 + eta_2: + max: 0.0 + mid: -0.4 + min: -0.8 + m_jj: max: 19.82 mid: 18.439999999999998 min: 17.06 @@ -7,7 +15,15 @@ bins: max: null mid: 200.0 min: null -- m_jj: +- eta_1: + max: 0.0 + mid: -0.4 + min: -0.8 + eta_2: + max: 0.0 + mid: -0.4 + min: -0.8 + m_jj: max: 23.1 mid: 22.11 min: 21.12 @@ -15,7 +31,15 @@ bins: max: null mid: 200.0 min: null -- m_jj: +- eta_1: + max: 0.0 + mid: -0.4 + min: -0.8 + eta_2: + max: 0.0 + mid: -0.4 + min: -0.8 + m_jj: max: 27.73 mid: 26.57 min: 25.41 @@ -23,7 +47,15 @@ bins: max: null mid: 200.0 min: null -- m_jj: +- eta_1: + max: 0.0 + mid: -0.4 + min: -0.8 + eta_2: + max: 0.0 + mid: -0.4 + min: -0.8 + m_jj: max: 33.76 mid: 32.21 min: 30.66 @@ -31,7 +63,15 @@ bins: max: null mid: 200.0 min: null -- m_jj: +- eta_1: + max: 0.0 + mid: -0.4 + min: -0.8 + eta_2: + max: 0.0 + mid: -0.4 + min: -0.8 + m_jj: max: 39.75 mid: 38.35 min: 36.95 @@ -39,7 +79,15 @@ bins: max: null mid: 200.0 min: null -- m_jj: +- eta_1: + max: 0.0 + mid: -0.4 + min: -0.8 + eta_2: + max: 0.0 + mid: -0.4 + min: -0.8 + m_jj: max: 49.66 mid: 48.01 min: 46.36 @@ -47,7 +95,15 @@ bins: max: null mid: 200.0 min: null -- m_jj: +- eta_1: + max: 0.0 + mid: -0.4 + min: -0.8 + eta_2: + max: 0.0 + mid: -0.4 + min: -0.8 + m_jj: max: 67.88 mid: 65.72999999999999 min: 63.58 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/kinematics_C.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/kinematics_C.yaml index 27677c4568..9732669e14 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/kinematics_C.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/kinematics_C.yaml @@ -1,5 +1,13 @@ bins: -- m_jj: +- eta_1: + max: 0.8 + mid: 0.4 + min: 0.0 + eta_2: + max: 0.8 + mid: 0.4 + min: 0.0 + m_jj: max: 19.71 mid: 18.509999999999998 min: 17.31 @@ -7,7 +15,15 @@ bins: max: null mid: 200.0 min: null -- m_jj: +- eta_1: + max: 0.8 + mid: 0.4 + min: 0.0 + eta_2: + max: 0.8 + mid: 0.4 + min: 0.0 + m_jj: max: 22.94 mid: 21.78 min: 20.62 @@ -15,7 +31,15 @@ bins: max: null mid: 200.0 min: null -- m_jj: +- eta_1: + max: 0.8 + mid: 0.4 + min: 0.0 + eta_2: + max: 0.8 + mid: 0.4 + min: 0.0 + m_jj: max: 27.21 mid: 26.02 min: 24.83 @@ -23,7 +47,15 @@ bins: max: null mid: 200.0 min: null -- m_jj: +- eta_1: + max: 0.8 + mid: 0.4 + min: 0.0 + eta_2: + max: 0.8 + mid: 0.4 + min: 0.0 + m_jj: max: 32.16 mid: 30.79 min: 29.42 @@ -31,7 +63,15 @@ bins: max: null mid: 200.0 min: null -- m_jj: +- eta_1: + max: 0.8 + mid: 0.4 + min: 0.0 + eta_2: + max: 0.8 + mid: 0.4 + min: 0.0 + m_jj: max: 39.28 mid: 37.95 min: 36.62 @@ -39,7 +79,15 @@ bins: max: null mid: 200.0 min: null -- m_jj: +- eta_1: + max: 0.8 + mid: 0.4 + min: 0.0 + eta_2: + max: 0.8 + mid: 0.4 + min: 0.0 + m_jj: max: 47.98 mid: 46.43 min: 44.88 @@ -47,7 +95,15 @@ bins: max: null mid: 200.0 min: null -- m_jj: +- eta_1: + max: 0.8 + mid: 0.4 + min: 0.0 + eta_2: + max: 0.8 + mid: 0.4 + min: 0.0 + m_jj: max: 66.04 mid: 62.82000000000001 min: 59.6 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/metadata.yaml index cd27814819..9fe0c6ce63 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/metadata.yaml @@ -35,8 +35,10 @@ implemented_observables: label: r"$\sqrt(s)$", units: "GeV", } + eta_1: { description: "eta jet", label: r"$\eta_j$", units: "" } + eta_2: { description: "eta jet", label: r"$\eta_j$", units: "" } file: kinematics_A.yaml - kinematic_coverage: [m_jj, sqrts] + kinematic_coverage: [m_jj, sqrts, eta_1, eta_2] data_central: data_A.yaml data_uncertainties: - uncertainties_A.yaml @@ -68,8 +70,10 @@ implemented_observables: label: r"$\sqrt(s)$", units: "GeV", } + eta_1: { description: "eta jet", label: r"$\eta_j$", units: "" } + eta_2: { description: "eta jet", label: r"$\eta_j$", units: "" } file: kinematics_B.yaml - kinematic_coverage: [m_jj, sqrts] + kinematic_coverage: [m_jj, sqrts, eta_1, eta_2] data_central: data_B.yaml data_uncertainties: - uncertainties_B.yaml @@ -101,8 +105,10 @@ implemented_observables: label: r"$\sqrt(s)$", units: "GeV", } + eta_1: { description: "eta jet", label: r"$\eta_j$", units: "" } + eta_2: { description: "eta jet", label: r"$\eta_j$", units: "" } file: kinematics_C.yaml - kinematic_coverage: [m_jj, sqrts] + kinematic_coverage: [m_jj, sqrts, eta_1, eta_2] data_central: data_C.yaml data_uncertainties: - uncertainties_C.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/kinematics_OS.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/kinematics_OS.yaml index 58657f6130..1b03e5e1e7 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/kinematics_OS.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/kinematics_OS.yaml @@ -1,5 +1,13 @@ bins: -- m_jj: +- abs_eta_1: + max: 0.8 + mid: 0.4 + min: 0.0 + abs_eta_2: + max: 0.8 + mid: 0.4 + min: 0.0 + m_jj: max: null mid: 17.99 min: null @@ -7,7 +15,15 @@ bins: max: null mid: 200.0 min: null -- m_jj: +- abs_eta_1: + max: 0.8 + mid: 0.4 + min: 0.0 + abs_eta_2: + max: 0.8 + mid: 0.4 + min: 0.0 + m_jj: max: null mid: 21.58 min: null @@ -15,7 +31,15 @@ bins: max: null mid: 200.0 min: null -- m_jj: +- abs_eta_1: + max: 0.8 + mid: 0.4 + min: 0.0 + abs_eta_2: + max: 0.8 + mid: 0.4 + min: 0.0 + m_jj: max: null mid: 26.29 min: null @@ -23,7 +47,15 @@ bins: max: null mid: 200.0 min: null -- m_jj: +- abs_eta_1: + max: 0.8 + mid: 0.4 + min: 0.0 + abs_eta_2: + max: 0.8 + mid: 0.4 + min: 0.0 + m_jj: max: null mid: 31.72 min: null @@ -31,7 +63,15 @@ bins: max: null mid: 200.0 min: null -- m_jj: +- abs_eta_1: + max: 0.8 + mid: 0.4 + min: 0.0 + abs_eta_2: + max: 0.8 + mid: 0.4 + min: 0.0 + m_jj: max: null mid: 38.38 min: null @@ -39,7 +79,15 @@ bins: max: null mid: 200.0 min: null -- m_jj: +- abs_eta_1: + max: 0.8 + mid: 0.4 + min: 0.0 + abs_eta_2: + max: 0.8 + mid: 0.4 + min: 0.0 + m_jj: max: null mid: 48.79 min: null @@ -47,7 +95,15 @@ bins: max: null mid: 200.0 min: null -- m_jj: +- abs_eta_1: + max: 0.8 + mid: 0.4 + min: 0.0 + abs_eta_2: + max: 0.8 + mid: 0.4 + min: 0.0 + m_jj: max: null mid: 67.32 min: null diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/kinematics_SS.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/kinematics_SS.yaml index 6aa1fcc389..14509ea0f7 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/kinematics_SS.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/kinematics_SS.yaml @@ -1,5 +1,13 @@ bins: -- m_jj: +- abs_eta_1: + max: 0.8 + mid: 0.4 + min: 0.0 + abs_eta_2: + max: 0.8 + mid: 0.4 + min: 0.0 + m_jj: max: null mid: 17.7 min: null @@ -7,7 +15,15 @@ bins: max: null mid: 200.0 min: null -- m_jj: +- abs_eta_1: + max: 0.8 + mid: 0.4 + min: 0.0 + abs_eta_2: + max: 0.8 + mid: 0.4 + min: 0.0 + m_jj: max: null mid: 21.34 min: null @@ -15,7 +31,15 @@ bins: max: null mid: 200.0 min: null -- m_jj: +- abs_eta_1: + max: 0.8 + mid: 0.4 + min: 0.0 + abs_eta_2: + max: 0.8 + mid: 0.4 + min: 0.0 + m_jj: max: null mid: 26.02 min: null @@ -23,7 +47,15 @@ bins: max: null mid: 200.0 min: null -- m_jj: +- abs_eta_1: + max: 0.8 + mid: 0.4 + min: 0.0 + abs_eta_2: + max: 0.8 + mid: 0.4 + min: 0.0 + m_jj: max: null mid: 31.66 min: null @@ -31,7 +63,15 @@ bins: max: null mid: 200.0 min: null -- m_jj: +- abs_eta_1: + max: 0.8 + mid: 0.4 + min: 0.0 + abs_eta_2: + max: 0.8 + mid: 0.4 + min: 0.0 + m_jj: max: null mid: 38.25 min: null @@ -39,7 +79,15 @@ bins: max: null mid: 200.0 min: null -- m_jj: +- abs_eta_1: + max: 0.8 + mid: 0.4 + min: 0.0 + abs_eta_2: + max: 0.8 + mid: 0.4 + min: 0.0 + m_jj: max: null mid: 48.28 min: null @@ -47,7 +95,15 @@ bins: max: null mid: 200.0 min: null -- m_jj: +- abs_eta_1: + max: 0.8 + mid: 0.4 + min: 0.0 + abs_eta_2: + max: 0.8 + mid: 0.4 + min: 0.0 + m_jj: max: null mid: 66.65 min: null diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/metadata.yaml index ce49c1f6e3..bf925b6b8d 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/metadata.yaml @@ -35,8 +35,10 @@ implemented_observables: label: r"$\sqrt(s)$", units: "GeV", } + abs_eta_1: { description: "abs eta jet", label: r"$|\eta_j|$", units: "" } + abs_eta_2: { description: "abs eta jet", label: r"$|\eta_j|$", units: "" } file: kinematics_OS.yaml - kinematic_coverage: [m_jj, sqrts] + kinematic_coverage: [m_jj, sqrts, abs_eta_1, abs_eta_2] data_central: data_OS.yaml data_uncertainties: - uncertainties_OS.yaml @@ -69,8 +71,10 @@ implemented_observables: label: r"$\sqrt(s)$", units: "GeV", } + abs_eta_1: { description: "abs eta jet", label: r"$|\eta_j|$", units: "" } + abs_eta_2: { description: "abs eta jet", label: r"$|\eta_j|$", units: "" } file: kinematics_SS.yaml - kinematic_coverage: [m_jj, sqrts] + kinematic_coverage: [m_jj, sqrts, abs_eta_1, abs_eta_2] data_central: data_SS.yaml data_uncertainties: - uncertainties_SS.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/filter.py b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/filter.py index e03571dedc..e9ccc7daf9 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/filter.py +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/filter.py @@ -16,13 +16,42 @@ # values from the paper https://arxiv.org/abs/1906.02740 SQRTS = 510 YEAR = 2012 -ETA_ABS = 0.9 POL_UNC = 0.066 TOPOPLOGY_LIST = ["I", "A", "B", "C", "D"] HERE = pathlib.Path(__file__).parent RAWDATA_PATH = HERE / "rawdata/" +# NOTE: the observable is symmetric for jet1 and jet2, +# so 1 and 2 are not ordered in pT. +TOPO_DEF = { + "A": { + "abs_eta1_min": 0.3, + "abs_eta1_max": 0.9, + "abs_eta2_min": 0.3, + "abs_eta2_max": 0.9, + }, + "B": { + "abs_eta1_min": 0, + "abs_eta1_max": 0.3, + "abs_eta2_min": 0.3, + "abs_eta2_max": 0.9, + }, + "C": { + "abs_eta1_min": 0, + "abs_eta1_max": 0.3, + "abs_eta2_min": 0, + "abs_eta2_max": 0.3, + }, + "D": { + "abs_eta1_min": 0.3, + "abs_eta1_max": 0.9, + "abs_eta2_min": 0.3, + "abs_eta2_max": 0.9, + }, + "I": {"abs_eta_min": 0, "abs_eta_max": 0.9}, +} + def read_1jet_data(): data_table = pathlib.Path(RAWDATA_PATH / "Figure12(Run12).csv") @@ -35,8 +64,8 @@ def read_1jet_data(): df["pT_min"] = all_data["Parton Jet $p_{T}$ [GeV/c] LOW"] df["pT_max"] = all_data["Parton Jet $p_{T}$ [GeV/c] HIGH"] df["eta"] = 0.0 - df["eta_min"] = -ETA_ABS - df["eta_max"] = +ETA_ABS + df["eta_min"] = -TOPO_DEF["I"]["abs_eta_max"] + df["eta_max"] = +TOPO_DEF["I"]["abs_eta_max"] df["sqrts"] = SQRTS df["ALL"] = all_data["Inclusive Jet $A_{LL}$"] df["stat"] = all_data["stat +"] @@ -58,6 +87,12 @@ def read_2jet_data(topology): df["mjj"] = all_data["Parton DiJet $M_{inv}$ [$GeV/c^{2}$]"] df["mjj_min"] = all_data["Parton DiJet $M_{inv}$ [$GeV/c^{2}$] LOW"] df["mjj_max"] = all_data["Parton DiJet $M_{inv}$ [$GeV/c^{2}$] HIGH"] + + for p in ["1", "2"]: + df[f"abs_eta{p}_min"] = TOPO_DEF[topology][f"abs_eta{p}_max"] + df[f"abs_eta{p}_max"] = TOPO_DEF[topology][f"abs_eta{p}_max"] + df[f"abs_eta{p}"] = (df[f"abs_eta{p}_min"] + df[f"abs_eta{p}_max"]) / 2 + df["sqrts"] = SQRTS df["ALL"] = all_data[r"DiJet $A_{LL}$"] df["stat"] = all_data[r"stat +"] @@ -203,6 +238,16 @@ def write_2jet_data(df, topology, art_sys): "max": float(df.loc[i, "mjj_max"]), }, "sqrts": {"min": None, "mid": float(df.loc[i, "sqrts"]), "max": None}, + "abs_eta_1": { + "min": float(df.loc[i, "abs_eta1_min"]), + "mid": float(df.loc[i, "abs_eta1"]), + "max": float(df.loc[i, "abs_eta1_max"]), + }, + "abs_eta_2": { + "min": float(df.loc[i, "abs_eta2_min"]), + "mid": float(df.loc[i, "abs_eta2"]), + "max": float(df.loc[i, "abs_eta2_max"]), + }, } kin.append(kin_value) kinematics_yaml = {"bins": kin} diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/kinematics_A.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/kinematics_A.yaml index aa74b03509..e9347809b7 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/kinematics_A.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/kinematics_A.yaml @@ -1,5 +1,13 @@ bins: -- m_jj: +- abs_eta_1: + max: 0.9 + mid: 0.9 + min: 0.9 + abs_eta_2: + max: 0.9 + mid: 0.9 + min: 0.9 + m_jj: max: 19.86 mid: 19.04 min: 18.22 @@ -7,7 +15,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.9 + mid: 0.9 + min: 0.9 + abs_eta_2: + max: 0.9 + mid: 0.9 + min: 0.9 + m_jj: max: 22.58 mid: 21.62 min: 20.66 @@ -15,7 +31,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.9 + mid: 0.9 + min: 0.9 + abs_eta_2: + max: 0.9 + mid: 0.9 + min: 0.9 + m_jj: max: 27.46 mid: 26.380000000000003 min: 25.3 @@ -23,7 +47,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.9 + mid: 0.9 + min: 0.9 + abs_eta_2: + max: 0.9 + mid: 0.9 + min: 0.9 + m_jj: max: 33.46 mid: 32.3 min: 31.14 @@ -31,7 +63,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.9 + mid: 0.9 + min: 0.9 + abs_eta_2: + max: 0.9 + mid: 0.9 + min: 0.9 + m_jj: max: 39.62 mid: 38.42 min: 37.22 @@ -39,7 +79,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.9 + mid: 0.9 + min: 0.9 + abs_eta_2: + max: 0.9 + mid: 0.9 + min: 0.9 + m_jj: max: 46.66 mid: 45.18 min: 43.7 @@ -47,7 +95,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.9 + mid: 0.9 + min: 0.9 + abs_eta_2: + max: 0.9 + mid: 0.9 + min: 0.9 + m_jj: max: 54.97 mid: 53.42 min: 51.87 @@ -55,7 +111,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.9 + mid: 0.9 + min: 0.9 + abs_eta_2: + max: 0.9 + mid: 0.9 + min: 0.9 + m_jj: max: 65.32 mid: 63.52 min: 61.72 @@ -63,7 +127,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.9 + mid: 0.9 + min: 0.9 + abs_eta_2: + max: 0.9 + mid: 0.9 + min: 0.9 + m_jj: max: 77.76 mid: 75.55000000000001 min: 73.34 @@ -71,7 +143,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.9 + mid: 0.9 + min: 0.9 + abs_eta_2: + max: 0.9 + mid: 0.9 + min: 0.9 + m_jj: max: 91.5 mid: 89.12 min: 86.74 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/kinematics_B.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/kinematics_B.yaml index 069748b5f1..cfa751350a 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/kinematics_B.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/kinematics_B.yaml @@ -1,5 +1,13 @@ bins: -- m_jj: +- abs_eta_1: + max: 0.3 + mid: 0.3 + min: 0.3 + abs_eta_2: + max: 0.9 + mid: 0.9 + min: 0.9 + m_jj: max: 19.61 mid: 18.8 min: 17.99 @@ -7,7 +15,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.3 + mid: 0.3 + min: 0.3 + abs_eta_2: + max: 0.9 + mid: 0.9 + min: 0.9 + m_jj: max: 22.74 mid: 21.8 min: 20.86 @@ -15,7 +31,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.3 + mid: 0.3 + min: 0.3 + abs_eta_2: + max: 0.9 + mid: 0.9 + min: 0.9 + m_jj: max: 27.46 mid: 26.37 min: 25.28 @@ -23,7 +47,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.3 + mid: 0.3 + min: 0.3 + abs_eta_2: + max: 0.9 + mid: 0.9 + min: 0.9 + m_jj: max: 33.31 mid: 32.24 min: 31.17 @@ -31,7 +63,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.3 + mid: 0.3 + min: 0.3 + abs_eta_2: + max: 0.9 + mid: 0.9 + min: 0.9 + m_jj: max: 39.73 mid: 38.42 min: 37.11 @@ -39,7 +79,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.3 + mid: 0.3 + min: 0.3 + abs_eta_2: + max: 0.9 + mid: 0.9 + min: 0.9 + m_jj: max: 47.24 mid: 45.83 min: 44.42 @@ -47,7 +95,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.3 + mid: 0.3 + min: 0.3 + abs_eta_2: + max: 0.9 + mid: 0.9 + min: 0.9 + m_jj: max: 55.83 mid: 54.14 min: 52.45 @@ -55,7 +111,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.3 + mid: 0.3 + min: 0.3 + abs_eta_2: + max: 0.9 + mid: 0.9 + min: 0.9 + m_jj: max: 66.0 mid: 64.17 min: 62.34 @@ -63,7 +127,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.3 + mid: 0.3 + min: 0.3 + abs_eta_2: + max: 0.9 + mid: 0.9 + min: 0.9 + m_jj: max: 78.19 mid: 76.06 min: 73.93 @@ -71,7 +143,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.3 + mid: 0.3 + min: 0.3 + abs_eta_2: + max: 0.9 + mid: 0.9 + min: 0.9 + m_jj: max: 92.29 mid: 89.81 min: 87.33 @@ -79,7 +159,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.3 + mid: 0.3 + min: 0.3 + abs_eta_2: + max: 0.9 + mid: 0.9 + min: 0.9 + m_jj: max: 110.81 mid: 107.92 min: 105.03 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/kinematics_C.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/kinematics_C.yaml index 3249f1848e..4bd0bdfbc3 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/kinematics_C.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/kinematics_C.yaml @@ -1,5 +1,13 @@ bins: -- m_jj: +- abs_eta_1: + max: 0.3 + mid: 0.3 + min: 0.3 + abs_eta_2: + max: 0.3 + mid: 0.3 + min: 0.3 + m_jj: max: 20.62 mid: 19.81 min: 19.0 @@ -7,7 +15,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.3 + mid: 0.3 + min: 0.3 + abs_eta_2: + max: 0.3 + mid: 0.3 + min: 0.3 + m_jj: max: 23.13 mid: 22.01 min: 20.89 @@ -15,7 +31,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.3 + mid: 0.3 + min: 0.3 + abs_eta_2: + max: 0.3 + mid: 0.3 + min: 0.3 + m_jj: max: 27.24 mid: 26.16 min: 25.08 @@ -23,7 +47,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.3 + mid: 0.3 + min: 0.3 + abs_eta_2: + max: 0.3 + mid: 0.3 + min: 0.3 + m_jj: max: 33.89 mid: 32.7 min: 31.51 @@ -31,7 +63,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.3 + mid: 0.3 + min: 0.3 + abs_eta_2: + max: 0.3 + mid: 0.3 + min: 0.3 + m_jj: max: 40.05 mid: 38.71 min: 37.37 @@ -39,7 +79,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.3 + mid: 0.3 + min: 0.3 + abs_eta_2: + max: 0.3 + mid: 0.3 + min: 0.3 + m_jj: max: 47.37 mid: 46.01 min: 44.65 @@ -47,7 +95,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.3 + mid: 0.3 + min: 0.3 + abs_eta_2: + max: 0.3 + mid: 0.3 + min: 0.3 + m_jj: max: 55.67 mid: 53.89 min: 52.11 @@ -55,7 +111,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.3 + mid: 0.3 + min: 0.3 + abs_eta_2: + max: 0.3 + mid: 0.3 + min: 0.3 + m_jj: max: 66.49 mid: 64.75 min: 63.01 @@ -63,7 +127,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.3 + mid: 0.3 + min: 0.3 + abs_eta_2: + max: 0.3 + mid: 0.3 + min: 0.3 + m_jj: max: 79.42 mid: 77.15 min: 74.88 @@ -71,7 +143,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.3 + mid: 0.3 + min: 0.3 + abs_eta_2: + max: 0.3 + mid: 0.3 + min: 0.3 + m_jj: max: 93.72 mid: 91.14 min: 88.56 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/kinematics_D.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/kinematics_D.yaml index abb28d91f6..4636085044 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/kinematics_D.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/kinematics_D.yaml @@ -1,5 +1,13 @@ bins: -- m_jj: +- abs_eta_1: + max: 0.9 + mid: 0.9 + min: 0.9 + abs_eta_2: + max: 0.9 + mid: 0.9 + min: 0.9 + m_jj: max: 22.68 mid: 20.54 min: 18.4 @@ -7,7 +15,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.9 + mid: 0.9 + min: 0.9 + abs_eta_2: + max: 0.9 + mid: 0.9 + min: 0.9 + m_jj: max: 23.04 mid: 22.09 min: 21.14 @@ -15,7 +31,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.9 + mid: 0.9 + min: 0.9 + abs_eta_2: + max: 0.9 + mid: 0.9 + min: 0.9 + m_jj: max: 27.29 mid: 26.31 min: 25.33 @@ -23,7 +47,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.9 + mid: 0.9 + min: 0.9 + abs_eta_2: + max: 0.9 + mid: 0.9 + min: 0.9 + m_jj: max: 32.94 mid: 31.72 min: 30.5 @@ -31,7 +63,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.9 + mid: 0.9 + min: 0.9 + abs_eta_2: + max: 0.9 + mid: 0.9 + min: 0.9 + m_jj: max: 39.79 mid: 38.48 min: 37.17 @@ -39,7 +79,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.9 + mid: 0.9 + min: 0.9 + abs_eta_2: + max: 0.9 + mid: 0.9 + min: 0.9 + m_jj: max: 46.76 mid: 45.21 min: 43.66 @@ -47,7 +95,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.9 + mid: 0.9 + min: 0.9 + abs_eta_2: + max: 0.9 + mid: 0.9 + min: 0.9 + m_jj: max: 55.84 mid: 54.150000000000006 min: 52.46 @@ -55,7 +111,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.9 + mid: 0.9 + min: 0.9 + abs_eta_2: + max: 0.9 + mid: 0.9 + min: 0.9 + m_jj: max: 66.22 mid: 64.3 min: 62.38 @@ -63,7 +127,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.9 + mid: 0.9 + min: 0.9 + abs_eta_2: + max: 0.9 + mid: 0.9 + min: 0.9 + m_jj: max: 78.81 mid: 76.66 min: 74.51 @@ -71,7 +143,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.9 + mid: 0.9 + min: 0.9 + abs_eta_2: + max: 0.9 + mid: 0.9 + min: 0.9 + m_jj: max: 92.19 mid: 89.57 min: 86.95 @@ -79,7 +159,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.9 + mid: 0.9 + min: 0.9 + abs_eta_2: + max: 0.9 + mid: 0.9 + min: 0.9 + m_jj: max: 109.83 mid: 106.86 min: 103.89 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/metadata.yaml index b9ed51871a..24c834e8f5 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/metadata.yaml @@ -35,8 +35,10 @@ implemented_observables: label: r"$\sqrt(s)$", units: "GeV", } + abs_eta_1: { description: "abs eta jet", label: r"$|\eta_j|$", units: "" } + abs_eta_2: { description: "abs eta jet", label: r"$|\eta_j|$", units: "" } file: kinematics_A.yaml - kinematic_coverage: [m_jj, sqrts] + kinematic_coverage: [m_jj, sqrts, abs_eta_1, abs_eta_2] data_central: data_A.yaml data_uncertainties: - uncertainties_A.yaml @@ -69,8 +71,10 @@ implemented_observables: label: r"$\sqrt(s)$", units: "GeV", } + abs_eta_1: { description: "abs eta jet", label: r"$|\eta_j|$", units: "" } + abs_eta_2: { description: "abs eta jet", label: r"$|\eta_j|$", units: "" } file: kinematics_B.yaml - kinematic_coverage: [m_jj, sqrts] + kinematic_coverage: [m_jj, sqrts, abs_eta_1, abs_eta_2] data_central: data_B.yaml data_uncertainties: - uncertainties_B.yaml @@ -103,8 +107,10 @@ implemented_observables: label: r"$\sqrt(s)$", units: "GeV", } + abs_eta_1: { description: "abs eta jet", label: r"$|\eta_j|$", units: "" } + abs_eta_2: { description: "abs eta jet", label: r"$|\eta_j|$", units: "" } file: kinematics_C.yaml - kinematic_coverage: [m_jj, sqrts] + kinematic_coverage: [m_jj, sqrts, abs_eta_1, abs_eta_2] data_central: data_C.yaml data_uncertainties: - uncertainties_C.yaml @@ -137,8 +143,10 @@ implemented_observables: label: r"$\sqrt(s)$", units: "GeV", } + abs_eta_1: { description: "abs eta jet", label: r"$|\eta_j|$", units: "" } + abs_eta_2: { description: "abs eta jet", label: r"$|\eta_j|$", units: "" } file: kinematics_D.yaml - kinematic_coverage: [m_jj, sqrts] + kinematic_coverage: [m_jj, sqrts, abs_eta_1, abs_eta_2] data_central: data_D.yaml data_uncertainties: - uncertainties_D.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/filter.py b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/filter.py index eb4d67f8c7..58d6c4b509 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/filter.py +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/filter.py @@ -11,6 +11,7 @@ compute_covmat, upper_triangular_to_symmetric, ) +from nnpdf_data.new_commondata.STAR_2012_1JET_510GEV.filter import TOPO_DEF # values from the paper https://arxiv.org/pdf/2110.11020.pdf SQRTS = 510 @@ -18,7 +19,7 @@ POL_UNC = 0.064 LUMI_UNC = 0.00047 YEAR = 2013 -TOPOPLOGY_LIST = ["1JET", "A", "B", "C", "D"] +TOPOPLOGY_LIST = ["I", "A", "B", "C", "D"] HERE = pathlib.Path(__file__).parent RAWDATA_PATH = HERE / "rawdata/" @@ -43,8 +44,8 @@ def read_1jet_data(): parton_jet_data[r"Parton Jet $p_{T}$ (GeV/$c$)"] + parton_jet_data["syst +"] ) df["eta"] = 0.0 - df["eta_min"] = -ETA_ABS - df["eta_max"] = +ETA_ABS + df["eta_min"] = -TOPO_DEF["I"]["abs_eta_max"] + df["eta_max"] = +TOPO_DEF["I"]["abs_eta_max"] df["sqrts"] = SQRTS df["ALL"] = all_data[r"Inclusive Jet $A_{LL}$"] df["stat"] = all_data[r"stat +"] @@ -73,6 +74,12 @@ def read_2jet_data(topology): df["mjj_max"] = ( mjj_data[r"Parton Dijet $M_{inv}$ (GeV/$c^{2}$)"] + mjj_data["syst +"] ) + + for p in ["1", "2"]: + df[f"abs_eta{p}_min"] = TOPO_DEF[topology][f"abs_eta{p}_max"] + df[f"abs_eta{p}_max"] = TOPO_DEF[topology][f"abs_eta{p}_max"] + df[f"abs_eta{p}"] = (df[f"abs_eta{p}_min"] + df[f"abs_eta{p}_max"]) / 2 + df["sqrts"] = SQRTS df["ALL"] = all_data[r"Dijet $A_{LL}$, topology " + topology] df["stat"] = all_data[r"stat +"] @@ -85,7 +92,7 @@ def read_2jet_data(topology): def get_correlation_label(a): - if a == "1JET": + if a == "I": return "Inclusivejet" return f"Dijettopology{a}" @@ -212,6 +219,16 @@ def write_2jet_data(df, topology, art_sys): "max": float(df.loc[i, "mjj_max"]), }, "sqrts": {"min": None, "mid": float(df.loc[i, "sqrts"]), "max": None}, + "abs_eta_1": { + "min": float(df.loc[i, "abs_eta1_min"]), + "mid": float(df.loc[i, "abs_eta1"]), + "max": float(df.loc[i, "abs_eta1_max"]), + }, + "abs_eta_2": { + "min": float(df.loc[i, "abs_eta2_min"]), + "mid": float(df.loc[i, "abs_eta2"]), + "max": float(df.loc[i, "abs_eta2_max"]), + }, } kin.append(kin_value) kinematics_yaml = {"bins": kin} @@ -266,7 +283,7 @@ def write_2jet_data(df, topology, art_sys): if __name__ == "__main__": # load all the data - dfs = {"1JET": read_1jet_data()} + dfs = {"I": read_1jet_data()} for topo in TOPOPLOGY_LIST[1:]: dfs[topo] = read_2jet_data(topo) @@ -289,7 +306,7 @@ def write_2jet_data(df, topology, art_sys): for topo, df in dfs.items(): ndata = ndata_dict[topo] syst = art_sys[cnt : cnt + ndata, :].tolist() - if topo == "1JET": + if topo == "I": write_1jet_data(df, syst) else: write_2jet_data(df, topo, syst) diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/kinematics_A.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/kinematics_A.yaml index 20be3d2291..19be678f81 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/kinematics_A.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/kinematics_A.yaml @@ -1,5 +1,13 @@ bins: -- m_jj: +- abs_eta_1: + max: 0.9 + mid: 0.9 + min: 0.9 + abs_eta_2: + max: 0.9 + mid: 0.9 + min: 0.9 + m_jj: max: 17.16 mid: 15.74 min: 14.32 @@ -7,7 +15,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.9 + mid: 0.9 + min: 0.9 + abs_eta_2: + max: 0.9 + mid: 0.9 + min: 0.9 + m_jj: max: 19.64 mid: 18.5 min: 17.36 @@ -15,7 +31,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.9 + mid: 0.9 + min: 0.9 + abs_eta_2: + max: 0.9 + mid: 0.9 + min: 0.9 + m_jj: max: 22.91 mid: 21.96 min: 21.01 @@ -23,7 +47,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.9 + mid: 0.9 + min: 0.9 + abs_eta_2: + max: 0.9 + mid: 0.9 + min: 0.9 + m_jj: max: 27.110000000000003 mid: 26.17 min: 25.23 @@ -31,7 +63,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.9 + mid: 0.9 + min: 0.9 + abs_eta_2: + max: 0.9 + mid: 0.9 + min: 0.9 + m_jj: max: 32.67 mid: 31.63 min: 30.59 @@ -39,7 +79,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.9 + mid: 0.9 + min: 0.9 + abs_eta_2: + max: 0.9 + mid: 0.9 + min: 0.9 + m_jj: max: 39.16 mid: 37.8 min: 36.44 @@ -47,7 +95,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.9 + mid: 0.9 + min: 0.9 + abs_eta_2: + max: 0.9 + mid: 0.9 + min: 0.9 + m_jj: max: 46.1 mid: 44.75 min: 43.4 @@ -55,7 +111,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.9 + mid: 0.9 + min: 0.9 + abs_eta_2: + max: 0.9 + mid: 0.9 + min: 0.9 + m_jj: max: 54.81 mid: 53.31 min: 51.81 @@ -63,7 +127,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.9 + mid: 0.9 + min: 0.9 + abs_eta_2: + max: 0.9 + mid: 0.9 + min: 0.9 + m_jj: max: 65.37 mid: 63.64 min: 61.910000000000004 @@ -71,7 +143,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.9 + mid: 0.9 + min: 0.9 + abs_eta_2: + max: 0.9 + mid: 0.9 + min: 0.9 + m_jj: max: 77.38 mid: 75.32 min: 73.25999999999999 @@ -79,7 +159,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.9 + mid: 0.9 + min: 0.9 + abs_eta_2: + max: 0.9 + mid: 0.9 + min: 0.9 + m_jj: max: 92.17 mid: 89.66 min: 87.14999999999999 @@ -87,7 +175,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.9 + mid: 0.9 + min: 0.9 + abs_eta_2: + max: 0.9 + mid: 0.9 + min: 0.9 + m_jj: max: 108.53 mid: 105.63 min: 102.72999999999999 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/kinematics_B.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/kinematics_B.yaml index 50a3d5933a..52e909021b 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/kinematics_B.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/kinematics_B.yaml @@ -1,5 +1,13 @@ bins: -- m_jj: +- abs_eta_1: + max: 0.3 + mid: 0.3 + min: 0.3 + abs_eta_2: + max: 0.9 + mid: 0.9 + min: 0.9 + m_jj: max: 16.96 mid: 15.49 min: 14.02 @@ -7,7 +15,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.3 + mid: 0.3 + min: 0.3 + abs_eta_2: + max: 0.9 + mid: 0.9 + min: 0.9 + m_jj: max: 19.31 mid: 18.48 min: 17.650000000000002 @@ -15,7 +31,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.3 + mid: 0.3 + min: 0.3 + abs_eta_2: + max: 0.9 + mid: 0.9 + min: 0.9 + m_jj: max: 23.08 mid: 22.33 min: 21.58 @@ -23,7 +47,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.3 + mid: 0.3 + min: 0.3 + abs_eta_2: + max: 0.9 + mid: 0.9 + min: 0.9 + m_jj: max: 27.580000000000002 mid: 26.67 min: 25.76 @@ -31,7 +63,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.3 + mid: 0.3 + min: 0.3 + abs_eta_2: + max: 0.9 + mid: 0.9 + min: 0.9 + m_jj: max: 33.15 mid: 32.16 min: 31.169999999999998 @@ -39,7 +79,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.3 + mid: 0.3 + min: 0.3 + abs_eta_2: + max: 0.9 + mid: 0.9 + min: 0.9 + m_jj: max: 39.760000000000005 mid: 38.59 min: 37.42 @@ -47,7 +95,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.3 + mid: 0.3 + min: 0.3 + abs_eta_2: + max: 0.9 + mid: 0.9 + min: 0.9 + m_jj: max: 47.06999999999999 mid: 45.66 min: 44.25 @@ -55,7 +111,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.3 + mid: 0.3 + min: 0.3 + abs_eta_2: + max: 0.9 + mid: 0.9 + min: 0.9 + m_jj: max: 56.0 mid: 54.49 min: 52.980000000000004 @@ -63,7 +127,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.3 + mid: 0.3 + min: 0.3 + abs_eta_2: + max: 0.9 + mid: 0.9 + min: 0.9 + m_jj: max: 66.77 mid: 65.02 min: 63.269999999999996 @@ -71,7 +143,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.3 + mid: 0.3 + min: 0.3 + abs_eta_2: + max: 0.9 + mid: 0.9 + min: 0.9 + m_jj: max: 79.22999999999999 mid: 77.16 min: 75.09 @@ -79,7 +159,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.3 + mid: 0.3 + min: 0.3 + abs_eta_2: + max: 0.9 + mid: 0.9 + min: 0.9 + m_jj: max: 93.89999999999999 mid: 91.33 min: 88.76 @@ -87,7 +175,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.3 + mid: 0.3 + min: 0.3 + abs_eta_2: + max: 0.9 + mid: 0.9 + min: 0.9 + m_jj: max: 112.25 mid: 109.2 min: 106.15 @@ -95,7 +191,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.3 + mid: 0.3 + min: 0.3 + abs_eta_2: + max: 0.9 + mid: 0.9 + min: 0.9 + m_jj: max: 133.2 mid: 129.75 min: 126.3 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/kinematics_C.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/kinematics_C.yaml index c11cf4363b..d4e97ff6e2 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/kinematics_C.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/kinematics_C.yaml @@ -1,5 +1,13 @@ bins: -- m_jj: +- abs_eta_1: + max: 0.3 + mid: 0.3 + min: 0.3 + abs_eta_2: + max: 0.3 + mid: 0.3 + min: 0.3 + m_jj: max: 17.26 mid: 15.72 min: 14.18 @@ -7,7 +15,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.3 + mid: 0.3 + min: 0.3 + abs_eta_2: + max: 0.3 + mid: 0.3 + min: 0.3 + m_jj: max: 19.889999999999997 mid: 18.9 min: 17.91 @@ -15,7 +31,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.3 + mid: 0.3 + min: 0.3 + abs_eta_2: + max: 0.3 + mid: 0.3 + min: 0.3 + m_jj: max: 23.259999999999998 mid: 22.24 min: 21.22 @@ -23,7 +47,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.3 + mid: 0.3 + min: 0.3 + abs_eta_2: + max: 0.3 + mid: 0.3 + min: 0.3 + m_jj: max: 28.12 mid: 27.14 min: 26.16 @@ -31,7 +63,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.3 + mid: 0.3 + min: 0.3 + abs_eta_2: + max: 0.3 + mid: 0.3 + min: 0.3 + m_jj: max: 34.120000000000005 mid: 33.03 min: 31.94 @@ -39,7 +79,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.3 + mid: 0.3 + min: 0.3 + abs_eta_2: + max: 0.3 + mid: 0.3 + min: 0.3 + m_jj: max: 40.78 mid: 39.35 min: 37.92 @@ -47,7 +95,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.3 + mid: 0.3 + min: 0.3 + abs_eta_2: + max: 0.3 + mid: 0.3 + min: 0.3 + m_jj: max: 48.16 mid: 46.62 min: 45.08 @@ -55,7 +111,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.3 + mid: 0.3 + min: 0.3 + abs_eta_2: + max: 0.3 + mid: 0.3 + min: 0.3 + m_jj: max: 57.45 mid: 55.74 min: 54.03 @@ -63,7 +127,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.3 + mid: 0.3 + min: 0.3 + abs_eta_2: + max: 0.3 + mid: 0.3 + min: 0.3 + m_jj: max: 68.32000000000001 mid: 66.39 min: 64.46 @@ -71,7 +143,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.3 + mid: 0.3 + min: 0.3 + abs_eta_2: + max: 0.3 + mid: 0.3 + min: 0.3 + m_jj: max: 81.23 mid: 78.97 min: 76.71 @@ -79,7 +159,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.3 + mid: 0.3 + min: 0.3 + abs_eta_2: + max: 0.3 + mid: 0.3 + min: 0.3 + m_jj: max: 97.07 mid: 94.22 min: 91.37 @@ -87,7 +175,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.3 + mid: 0.3 + min: 0.3 + abs_eta_2: + max: 0.3 + mid: 0.3 + min: 0.3 + m_jj: max: 114.7 mid: 111.48 min: 108.26 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/kinematics_D.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/kinematics_D.yaml index 1fd76f3d0e..c0b3fc00f6 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/kinematics_D.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/kinematics_D.yaml @@ -1,5 +1,13 @@ bins: -- m_jj: +- abs_eta_1: + max: 0.9 + mid: 0.9 + min: 0.9 + abs_eta_2: + max: 0.9 + mid: 0.9 + min: 0.9 + m_jj: max: 19.349999999999998 mid: 18.2 min: 17.05 @@ -7,7 +15,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.9 + mid: 0.9 + min: 0.9 + abs_eta_2: + max: 0.9 + mid: 0.9 + min: 0.9 + m_jj: max: 22.71 mid: 21.67 min: 20.630000000000003 @@ -15,7 +31,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.9 + mid: 0.9 + min: 0.9 + abs_eta_2: + max: 0.9 + mid: 0.9 + min: 0.9 + m_jj: max: 27.16 mid: 26.12 min: 25.080000000000002 @@ -23,7 +47,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.9 + mid: 0.9 + min: 0.9 + abs_eta_2: + max: 0.9 + mid: 0.9 + min: 0.9 + m_jj: max: 32.440000000000005 mid: 31.42 min: 30.400000000000002 @@ -31,7 +63,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.9 + mid: 0.9 + min: 0.9 + abs_eta_2: + max: 0.9 + mid: 0.9 + min: 0.9 + m_jj: max: 38.58 mid: 37.33 min: 36.08 @@ -39,7 +79,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.9 + mid: 0.9 + min: 0.9 + abs_eta_2: + max: 0.9 + mid: 0.9 + min: 0.9 + m_jj: max: 46.11 mid: 44.6 min: 43.09 @@ -47,7 +95,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.9 + mid: 0.9 + min: 0.9 + abs_eta_2: + max: 0.9 + mid: 0.9 + min: 0.9 + m_jj: max: 55.3 mid: 53.61 min: 51.92 @@ -55,7 +111,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.9 + mid: 0.9 + min: 0.9 + abs_eta_2: + max: 0.9 + mid: 0.9 + min: 0.9 + m_jj: max: 65.31 mid: 63.38 min: 61.45 @@ -63,7 +127,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.9 + mid: 0.9 + min: 0.9 + abs_eta_2: + max: 0.9 + mid: 0.9 + min: 0.9 + m_jj: max: 77.78999999999999 mid: 75.52 min: 73.25 @@ -71,7 +143,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.9 + mid: 0.9 + min: 0.9 + abs_eta_2: + max: 0.9 + mid: 0.9 + min: 0.9 + m_jj: max: 92.3 mid: 89.6 min: 86.89999999999999 @@ -79,7 +159,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.9 + mid: 0.9 + min: 0.9 + abs_eta_2: + max: 0.9 + mid: 0.9 + min: 0.9 + m_jj: max: 109.83 mid: 106.63 min: 103.42999999999999 @@ -87,7 +175,15 @@ bins: max: null mid: 510.0 min: null -- m_jj: +- abs_eta_1: + max: 0.9 + mid: 0.9 + min: 0.9 + abs_eta_2: + max: 0.9 + mid: 0.9 + min: 0.9 + m_jj: max: 130.99 mid: 127.17 min: 123.35000000000001 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/metadata.yaml index 03b62b444e..5162c189cb 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/metadata.yaml @@ -35,8 +35,10 @@ implemented_observables: label: r"$\sqrt(s)$", units: "GeV", } + abs_eta_1: { description: "abs eta jet", label: r"$|\eta_j|$", units: "" } + abs_eta_2: { description: "abs eta jet", label: r"$|\eta_j|$", units: "" } file: kinematics_A.yaml - kinematic_coverage: [m_jj, sqrts] + kinematic_coverage: [m_jj, sqrts, abs_eta_1, abs_eta_2] data_central: data_A.yaml data_uncertainties: - uncertainties_A.yaml @@ -69,8 +71,10 @@ implemented_observables: label: r"$\sqrt(s)$", units: "GeV", } + abs_eta_1: { description: "abs eta jet", label: r"$|\eta_j|$", units: "" } + abs_eta_2: { description: "abs eta jet", label: r"$|\eta_j|$", units: "" } file: kinematics_B.yaml - kinematic_coverage: [m_jj, sqrts] + kinematic_coverage: [m_jj, sqrts, abs_eta_1, abs_eta_2] data_central: data_B.yaml data_uncertainties: - uncertainties_B.yaml @@ -103,8 +107,10 @@ implemented_observables: label: r"$\sqrt(s)$", units: "GeV", } + abs_eta_1: { description: "abs eta jet", label: r"$|\eta_j|$", units: "" } + abs_eta_2: { description: "abs eta jet", label: r"$|\eta_j|$", units: "" } file: kinematics_C.yaml - kinematic_coverage: [m_jj, sqrts] + kinematic_coverage: [m_jj, sqrts, abs_eta_1, abs_eta_2] data_central: data_C.yaml data_uncertainties: - uncertainties_C.yaml @@ -137,8 +143,10 @@ implemented_observables: label: r"$\sqrt(s)$", units: "GeV", } + abs_eta_1: { description: "abs eta jet", label: r"$|\eta_j|$", units: "" } + abs_eta_2: { description: "abs eta jet", label: r"$|\eta_j|$", units: "" } file: kinematics_D.yaml - kinematic_coverage: [m_jj, sqrts] + kinematic_coverage: [m_jj, sqrts, abs_eta_1, abs_eta_2] data_central: data_D.yaml data_uncertainties: - uncertainties_D.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/filter.py b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/filter.py index a7d08351d6..eeba7ca9ea 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/filter.py +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/filter.py @@ -18,8 +18,8 @@ YEAR = 2015 # mapping between topologies, tables and abs_eta values TOPOPLOGY_LIST = { - "CC": ("bottom", 0, 0.5), - "CF": ("top", 0.5, 1.0), + "CC": "bottom", + "CF": "top", "OS": "bottom", "SS": "top", } @@ -38,14 +38,25 @@ ("SS", "SS"): 11, } +# NOTE: this is not the full relevant as the observable is symmetric +# for jet1 and jet2, so 1 and 2 are not ordered in pT and the +# information about the sign in missing. +TOPO_DEF = { + "SS": {"abs_eta_min": 0, "abs_eta_max": 0.8}, + "OS": {"abs_eta_min": 0, "abs_eta_max": 0.8}, + "CC": {"abs_eta_min": 0, "abs_eta_max": 0.5}, + "CF": {"abs_eta_min": 0.5, "abs_eta_max": 1.0}, +} + + HERE = pathlib.Path(__file__).parent RAWDATA_PATH = HERE / "rawdata/" def read_1jet_data(topology): - table_label = TOPOPLOGY_LIST[topology][0] - max_eta = TOPOPLOGY_LIST[topology][2] - min_eta = TOPOPLOGY_LIST[topology][1] + table_label = TOPOPLOGY_LIST[topology] + max_eta = TOPO_DEF[topology]["abs_eta_max"] + min_eta = TOPO_DEF[topology]["abs_eta_min"] data_table = pathlib.Path(RAWDATA_PATH / f"Table1{table_label}.csv") with open(data_table, "r", encoding="utf-8") as file: @@ -89,6 +100,11 @@ def read_2jet_data(topology): df["mjj"] = mjj_data["Dijet invariant mass $M_{inv}$ at the parton level [GeV/$c$]"] df["mjj_min"] = df["mjj"] + mjj_data["Syst -"] df["mjj_max"] = df["mjj"] + mjj_data["Syst +"] + + df["abs_eta_min"] = TOPO_DEF[topology]["abs_eta_max"] + df["abs_eta_max"] = TOPO_DEF[topology]["abs_eta_max"] + df["abs_eta"] = (df["abs_eta_min"] + df["abs_eta_max"]) / 2 + df["sqrts"] = SQRTS df["ALL"] = all_data[r"Double spin asymmetry $A_{LL}$"] df["stat"] = all_data["Stat +"] @@ -228,6 +244,16 @@ def write_2jet_data(df, topology, art_sys): "max": float(df.loc[i, "mjj_max"]), }, "sqrts": {"min": None, "mid": float(df.loc[i, "sqrts"]), "max": None}, + "abs_eta_1": { + "min": float(df.loc[i, "abs_eta_min"]), + "mid": float(df.loc[i, "abs_eta"]), + "max": float(df.loc[i, "abs_eta_max"]), + }, + "abs_eta_2": { + "min": float(df.loc[i, "abs_eta_min"]), + "mid": float(df.loc[i, "abs_eta"]), + "max": float(df.loc[i, "abs_eta_max"]), + }, } kin.append(kin_value) kinematics_yaml = {"bins": kin} diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/kinematics_OS.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/kinematics_OS.yaml index de1e3b24f5..46e7556f74 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/kinematics_OS.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/kinematics_OS.yaml @@ -1,5 +1,13 @@ bins: -- m_jj: +- abs_eta_1: + max: 0.8 + mid: 0.8 + min: 0.8 + abs_eta_2: + max: 0.8 + mid: 0.8 + min: 0.8 + m_jj: max: 21.1 mid: 20.48 min: 19.86 @@ -7,7 +15,15 @@ bins: max: null mid: 200.0 min: null -- m_jj: +- abs_eta_1: + max: 0.8 + mid: 0.8 + min: 0.8 + abs_eta_2: + max: 0.8 + mid: 0.8 + min: 0.8 + m_jj: max: 24.24 mid: 23.65 min: 23.06 @@ -15,7 +31,15 @@ bins: max: null mid: 200.0 min: null -- m_jj: +- abs_eta_1: + max: 0.8 + mid: 0.8 + min: 0.8 + abs_eta_2: + max: 0.8 + mid: 0.8 + min: 0.8 + m_jj: max: 29.19 mid: 28.5 min: 27.81 @@ -23,7 +47,15 @@ bins: max: null mid: 200.0 min: null -- m_jj: +- abs_eta_1: + max: 0.8 + mid: 0.8 + min: 0.8 + abs_eta_2: + max: 0.8 + mid: 0.8 + min: 0.8 + m_jj: max: 35.17 mid: 34.38 min: 33.59 @@ -31,7 +63,15 @@ bins: max: null mid: 200.0 min: null -- m_jj: +- abs_eta_1: + max: 0.8 + mid: 0.8 + min: 0.8 + abs_eta_2: + max: 0.8 + mid: 0.8 + min: 0.8 + m_jj: max: 42.300000000000004 mid: 41.38 min: 40.46 @@ -39,7 +79,15 @@ bins: max: null mid: 200.0 min: null -- m_jj: +- abs_eta_1: + max: 0.8 + mid: 0.8 + min: 0.8 + abs_eta_2: + max: 0.8 + mid: 0.8 + min: 0.8 + m_jj: max: 52.33 mid: 51.25 min: 50.17 @@ -47,7 +95,15 @@ bins: max: null mid: 200.0 min: null -- m_jj: +- abs_eta_1: + max: 0.8 + mid: 0.8 + min: 0.8 + abs_eta_2: + max: 0.8 + mid: 0.8 + min: 0.8 + m_jj: max: 71.27 mid: 69.96 min: 68.64999999999999 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/kinematics_SS.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/kinematics_SS.yaml index 9475f1c9e1..105c7da02a 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/kinematics_SS.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/kinematics_SS.yaml @@ -1,5 +1,13 @@ bins: -- m_jj: +- abs_eta_1: + max: 0.8 + mid: 0.8 + min: 0.8 + abs_eta_2: + max: 0.8 + mid: 0.8 + min: 0.8 + m_jj: max: 20.82 mid: 20.29 min: 19.759999999999998 @@ -7,7 +15,15 @@ bins: max: null mid: 200.0 min: null -- m_jj: +- abs_eta_1: + max: 0.8 + mid: 0.8 + min: 0.8 + abs_eta_2: + max: 0.8 + mid: 0.8 + min: 0.8 + m_jj: max: 24.11 mid: 23.5 min: 22.89 @@ -15,7 +31,15 @@ bins: max: null mid: 200.0 min: null -- m_jj: +- abs_eta_1: + max: 0.8 + mid: 0.8 + min: 0.8 + abs_eta_2: + max: 0.8 + mid: 0.8 + min: 0.8 + m_jj: max: 28.94 mid: 28.28 min: 27.62 @@ -23,7 +47,15 @@ bins: max: null mid: 200.0 min: null -- m_jj: +- abs_eta_1: + max: 0.8 + mid: 0.8 + min: 0.8 + abs_eta_2: + max: 0.8 + mid: 0.8 + min: 0.8 + m_jj: max: 34.93 mid: 34.15 min: 33.37 @@ -31,7 +63,15 @@ bins: max: null mid: 200.0 min: null -- m_jj: +- abs_eta_1: + max: 0.8 + mid: 0.8 + min: 0.8 + abs_eta_2: + max: 0.8 + mid: 0.8 + min: 0.8 + m_jj: max: 41.85 mid: 40.96 min: 40.07 @@ -39,7 +79,15 @@ bins: max: null mid: 200.0 min: null -- m_jj: +- abs_eta_1: + max: 0.8 + mid: 0.8 + min: 0.8 + abs_eta_2: + max: 0.8 + mid: 0.8 + min: 0.8 + m_jj: max: 51.78 mid: 50.75 min: 49.72 @@ -47,7 +95,15 @@ bins: max: null mid: 200.0 min: null -- m_jj: +- abs_eta_1: + max: 0.8 + mid: 0.8 + min: 0.8 + abs_eta_2: + max: 0.8 + mid: 0.8 + min: 0.8 + m_jj: max: 70.42 mid: 69.11 min: 67.8 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/metadata.yaml index ea159cfc4c..39ccc5f2a7 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/metadata.yaml @@ -35,8 +35,10 @@ implemented_observables: label: r"$\sqrt(s)$", units: "GeV", } + abs_eta_1: { description: "abs eta jet", label: r"$|\eta_j|$", units: "" } + abs_eta_2: { description: "abs eta jet", label: r"$|\eta_j|$", units: "" } file: kinematics_OS.yaml - kinematic_coverage: [m_jj, sqrts] + kinematic_coverage: [m_jj, sqrts, abs_eta_1, abs_eta_2] data_central: data_OS.yaml data_uncertainties: - uncertainties_OS.yaml @@ -69,8 +71,10 @@ implemented_observables: label: r"$\sqrt(s)$", units: "GeV", } + abs_eta_1: { description: "abs eta jet", label: r"$|\eta_j|$", units: "" } + abs_eta_2: { description: "abs eta jet", label: r"$|\eta_j|$", units: "" } file: kinematics_SS.yaml - kinematic_coverage: [m_jj, sqrts] + kinematic_coverage: [m_jj, sqrts, abs_eta_1, abs_eta_2] data_central: data_SS.yaml data_uncertainties: - uncertainties_SS.yaml From 6cfdbf385b5a897fab1761856a32e4d91e373d28 Mon Sep 17 00:00:00 2001 From: giacomomagni Date: Sat, 13 Jul 2024 01:03:38 +0200 Subject: [PATCH 65/70] varius typos fixes --- .../STAR_2009_1JET_200GEV/filter.py | 6 +- .../STAR_2009_2JET_200GEV/kinematics_B.yaml | 42 +++---- .../STAR_2009_2JET_200GEV/kinematics_C.yaml | 42 +++---- .../STAR_2012_1JET_510GEV/filter.py | 2 +- .../STAR_2012_2JET_510GEV/kinematics_A.yaml | 80 +++++++------- .../STAR_2012_2JET_510GEV/kinematics_B.yaml | 88 +++++++-------- .../STAR_2012_2JET_510GEV/kinematics_C.yaml | 80 +++++++------- .../STAR_2012_2JET_510GEV/kinematics_D.yaml | 88 +++++++-------- .../STAR_2013_1JET_510GEV/filter.py | 2 +- .../STAR_2013_2JET_510GEV/kinematics_A.yaml | 96 ++++++++-------- .../STAR_2013_2JET_510GEV/kinematics_B.yaml | 104 +++++++++--------- .../STAR_2013_2JET_510GEV/kinematics_C.yaml | 96 ++++++++-------- .../STAR_2013_2JET_510GEV/kinematics_D.yaml | 96 ++++++++-------- .../STAR_2015_1JET_200GEV/filter.py | 2 +- .../kinematics_OS.yaml | 56 +++++----- .../kinematics_SS.yaml | 56 +++++----- 16 files changed, 468 insertions(+), 468 deletions(-) diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/filter.py b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/filter.py index 9f85dfe8c9..51b0f451bf 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/filter.py +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/filter.py @@ -237,9 +237,9 @@ def write_2jet_data(df, topology, art_sys): "max": float(df.loc[i, "eta1_max"]), }, "eta_2": { - "min": float(df.loc[i, "eta1_min"]), - "mid": float(df.loc[i, "eta1"]), - "max": float(df.loc[i, "eta1_max"]), + "min": float(df.loc[i, "eta2_min"]), + "mid": float(df.loc[i, "eta2"]), + "max": float(df.loc[i, "eta2_max"]), }, } except KeyError: diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/kinematics_B.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/kinematics_B.yaml index a7e4f147bb..130698868f 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/kinematics_B.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/kinematics_B.yaml @@ -4,9 +4,9 @@ bins: mid: -0.4 min: -0.8 eta_2: - max: 0.0 - mid: -0.4 - min: -0.8 + max: 1.8 + mid: 1.3 + min: 0.8 m_jj: max: 19.82 mid: 18.439999999999998 @@ -20,9 +20,9 @@ bins: mid: -0.4 min: -0.8 eta_2: - max: 0.0 - mid: -0.4 - min: -0.8 + max: 1.8 + mid: 1.3 + min: 0.8 m_jj: max: 23.1 mid: 22.11 @@ -36,9 +36,9 @@ bins: mid: -0.4 min: -0.8 eta_2: - max: 0.0 - mid: -0.4 - min: -0.8 + max: 1.8 + mid: 1.3 + min: 0.8 m_jj: max: 27.73 mid: 26.57 @@ -52,9 +52,9 @@ bins: mid: -0.4 min: -0.8 eta_2: - max: 0.0 - mid: -0.4 - min: -0.8 + max: 1.8 + mid: 1.3 + min: 0.8 m_jj: max: 33.76 mid: 32.21 @@ -68,9 +68,9 @@ bins: mid: -0.4 min: -0.8 eta_2: - max: 0.0 - mid: -0.4 - min: -0.8 + max: 1.8 + mid: 1.3 + min: 0.8 m_jj: max: 39.75 mid: 38.35 @@ -84,9 +84,9 @@ bins: mid: -0.4 min: -0.8 eta_2: - max: 0.0 - mid: -0.4 - min: -0.8 + max: 1.8 + mid: 1.3 + min: 0.8 m_jj: max: 49.66 mid: 48.01 @@ -100,9 +100,9 @@ bins: mid: -0.4 min: -0.8 eta_2: - max: 0.0 - mid: -0.4 - min: -0.8 + max: 1.8 + mid: 1.3 + min: 0.8 m_jj: max: 67.88 mid: 65.72999999999999 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/kinematics_C.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/kinematics_C.yaml index 9732669e14..df13c3d8a1 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/kinematics_C.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/kinematics_C.yaml @@ -4,9 +4,9 @@ bins: mid: 0.4 min: 0.0 eta_2: - max: 0.8 - mid: 0.4 - min: 0.0 + max: 1.8 + mid: 1.3 + min: 0.8 m_jj: max: 19.71 mid: 18.509999999999998 @@ -20,9 +20,9 @@ bins: mid: 0.4 min: 0.0 eta_2: - max: 0.8 - mid: 0.4 - min: 0.0 + max: 1.8 + mid: 1.3 + min: 0.8 m_jj: max: 22.94 mid: 21.78 @@ -36,9 +36,9 @@ bins: mid: 0.4 min: 0.0 eta_2: - max: 0.8 - mid: 0.4 - min: 0.0 + max: 1.8 + mid: 1.3 + min: 0.8 m_jj: max: 27.21 mid: 26.02 @@ -52,9 +52,9 @@ bins: mid: 0.4 min: 0.0 eta_2: - max: 0.8 - mid: 0.4 - min: 0.0 + max: 1.8 + mid: 1.3 + min: 0.8 m_jj: max: 32.16 mid: 30.79 @@ -68,9 +68,9 @@ bins: mid: 0.4 min: 0.0 eta_2: - max: 0.8 - mid: 0.4 - min: 0.0 + max: 1.8 + mid: 1.3 + min: 0.8 m_jj: max: 39.28 mid: 37.95 @@ -84,9 +84,9 @@ bins: mid: 0.4 min: 0.0 eta_2: - max: 0.8 - mid: 0.4 - min: 0.0 + max: 1.8 + mid: 1.3 + min: 0.8 m_jj: max: 47.98 mid: 46.43 @@ -100,9 +100,9 @@ bins: mid: 0.4 min: 0.0 eta_2: - max: 0.8 - mid: 0.4 - min: 0.0 + max: 1.8 + mid: 1.3 + min: 0.8 m_jj: max: 66.04 mid: 62.82000000000001 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/filter.py b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/filter.py index e9ccc7daf9..6cdbd85c9d 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/filter.py +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/filter.py @@ -89,7 +89,7 @@ def read_2jet_data(topology): df["mjj_max"] = all_data["Parton DiJet $M_{inv}$ [$GeV/c^{2}$] HIGH"] for p in ["1", "2"]: - df[f"abs_eta{p}_min"] = TOPO_DEF[topology][f"abs_eta{p}_max"] + df[f"abs_eta{p}_min"] = TOPO_DEF[topology][f"abs_eta{p}_min"] df[f"abs_eta{p}_max"] = TOPO_DEF[topology][f"abs_eta{p}_max"] df[f"abs_eta{p}"] = (df[f"abs_eta{p}_min"] + df[f"abs_eta{p}_max"]) / 2 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/kinematics_A.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/kinematics_A.yaml index e9347809b7..8fdbf6618e 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/kinematics_A.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/kinematics_A.yaml @@ -1,12 +1,12 @@ bins: - abs_eta_1: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 abs_eta_2: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 m_jj: max: 19.86 mid: 19.04 @@ -17,12 +17,12 @@ bins: min: null - abs_eta_1: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 abs_eta_2: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 m_jj: max: 22.58 mid: 21.62 @@ -33,12 +33,12 @@ bins: min: null - abs_eta_1: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 abs_eta_2: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 m_jj: max: 27.46 mid: 26.380000000000003 @@ -49,12 +49,12 @@ bins: min: null - abs_eta_1: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 abs_eta_2: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 m_jj: max: 33.46 mid: 32.3 @@ -65,12 +65,12 @@ bins: min: null - abs_eta_1: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 abs_eta_2: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 m_jj: max: 39.62 mid: 38.42 @@ -81,12 +81,12 @@ bins: min: null - abs_eta_1: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 abs_eta_2: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 m_jj: max: 46.66 mid: 45.18 @@ -97,12 +97,12 @@ bins: min: null - abs_eta_1: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 abs_eta_2: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 m_jj: max: 54.97 mid: 53.42 @@ -113,12 +113,12 @@ bins: min: null - abs_eta_1: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 abs_eta_2: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 m_jj: max: 65.32 mid: 63.52 @@ -129,12 +129,12 @@ bins: min: null - abs_eta_1: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 abs_eta_2: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 m_jj: max: 77.76 mid: 75.55000000000001 @@ -145,12 +145,12 @@ bins: min: null - abs_eta_1: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 abs_eta_2: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 m_jj: max: 91.5 mid: 89.12 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/kinematics_B.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/kinematics_B.yaml index cfa751350a..822d45d812 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/kinematics_B.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/kinematics_B.yaml @@ -1,12 +1,12 @@ bins: - abs_eta_1: max: 0.3 - mid: 0.3 - min: 0.3 + mid: 0.15 + min: 0.0 abs_eta_2: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 m_jj: max: 19.61 mid: 18.8 @@ -17,12 +17,12 @@ bins: min: null - abs_eta_1: max: 0.3 - mid: 0.3 - min: 0.3 + mid: 0.15 + min: 0.0 abs_eta_2: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 m_jj: max: 22.74 mid: 21.8 @@ -33,12 +33,12 @@ bins: min: null - abs_eta_1: max: 0.3 - mid: 0.3 - min: 0.3 + mid: 0.15 + min: 0.0 abs_eta_2: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 m_jj: max: 27.46 mid: 26.37 @@ -49,12 +49,12 @@ bins: min: null - abs_eta_1: max: 0.3 - mid: 0.3 - min: 0.3 + mid: 0.15 + min: 0.0 abs_eta_2: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 m_jj: max: 33.31 mid: 32.24 @@ -65,12 +65,12 @@ bins: min: null - abs_eta_1: max: 0.3 - mid: 0.3 - min: 0.3 + mid: 0.15 + min: 0.0 abs_eta_2: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 m_jj: max: 39.73 mid: 38.42 @@ -81,12 +81,12 @@ bins: min: null - abs_eta_1: max: 0.3 - mid: 0.3 - min: 0.3 + mid: 0.15 + min: 0.0 abs_eta_2: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 m_jj: max: 47.24 mid: 45.83 @@ -97,12 +97,12 @@ bins: min: null - abs_eta_1: max: 0.3 - mid: 0.3 - min: 0.3 + mid: 0.15 + min: 0.0 abs_eta_2: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 m_jj: max: 55.83 mid: 54.14 @@ -113,12 +113,12 @@ bins: min: null - abs_eta_1: max: 0.3 - mid: 0.3 - min: 0.3 + mid: 0.15 + min: 0.0 abs_eta_2: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 m_jj: max: 66.0 mid: 64.17 @@ -129,12 +129,12 @@ bins: min: null - abs_eta_1: max: 0.3 - mid: 0.3 - min: 0.3 + mid: 0.15 + min: 0.0 abs_eta_2: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 m_jj: max: 78.19 mid: 76.06 @@ -145,12 +145,12 @@ bins: min: null - abs_eta_1: max: 0.3 - mid: 0.3 - min: 0.3 + mid: 0.15 + min: 0.0 abs_eta_2: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 m_jj: max: 92.29 mid: 89.81 @@ -161,12 +161,12 @@ bins: min: null - abs_eta_1: max: 0.3 - mid: 0.3 - min: 0.3 + mid: 0.15 + min: 0.0 abs_eta_2: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 m_jj: max: 110.81 mid: 107.92 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/kinematics_C.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/kinematics_C.yaml index 4bd0bdfbc3..f53d1d79c8 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/kinematics_C.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/kinematics_C.yaml @@ -1,12 +1,12 @@ bins: - abs_eta_1: max: 0.3 - mid: 0.3 - min: 0.3 + mid: 0.15 + min: 0.0 abs_eta_2: max: 0.3 - mid: 0.3 - min: 0.3 + mid: 0.15 + min: 0.0 m_jj: max: 20.62 mid: 19.81 @@ -17,12 +17,12 @@ bins: min: null - abs_eta_1: max: 0.3 - mid: 0.3 - min: 0.3 + mid: 0.15 + min: 0.0 abs_eta_2: max: 0.3 - mid: 0.3 - min: 0.3 + mid: 0.15 + min: 0.0 m_jj: max: 23.13 mid: 22.01 @@ -33,12 +33,12 @@ bins: min: null - abs_eta_1: max: 0.3 - mid: 0.3 - min: 0.3 + mid: 0.15 + min: 0.0 abs_eta_2: max: 0.3 - mid: 0.3 - min: 0.3 + mid: 0.15 + min: 0.0 m_jj: max: 27.24 mid: 26.16 @@ -49,12 +49,12 @@ bins: min: null - abs_eta_1: max: 0.3 - mid: 0.3 - min: 0.3 + mid: 0.15 + min: 0.0 abs_eta_2: max: 0.3 - mid: 0.3 - min: 0.3 + mid: 0.15 + min: 0.0 m_jj: max: 33.89 mid: 32.7 @@ -65,12 +65,12 @@ bins: min: null - abs_eta_1: max: 0.3 - mid: 0.3 - min: 0.3 + mid: 0.15 + min: 0.0 abs_eta_2: max: 0.3 - mid: 0.3 - min: 0.3 + mid: 0.15 + min: 0.0 m_jj: max: 40.05 mid: 38.71 @@ -81,12 +81,12 @@ bins: min: null - abs_eta_1: max: 0.3 - mid: 0.3 - min: 0.3 + mid: 0.15 + min: 0.0 abs_eta_2: max: 0.3 - mid: 0.3 - min: 0.3 + mid: 0.15 + min: 0.0 m_jj: max: 47.37 mid: 46.01 @@ -97,12 +97,12 @@ bins: min: null - abs_eta_1: max: 0.3 - mid: 0.3 - min: 0.3 + mid: 0.15 + min: 0.0 abs_eta_2: max: 0.3 - mid: 0.3 - min: 0.3 + mid: 0.15 + min: 0.0 m_jj: max: 55.67 mid: 53.89 @@ -113,12 +113,12 @@ bins: min: null - abs_eta_1: max: 0.3 - mid: 0.3 - min: 0.3 + mid: 0.15 + min: 0.0 abs_eta_2: max: 0.3 - mid: 0.3 - min: 0.3 + mid: 0.15 + min: 0.0 m_jj: max: 66.49 mid: 64.75 @@ -129,12 +129,12 @@ bins: min: null - abs_eta_1: max: 0.3 - mid: 0.3 - min: 0.3 + mid: 0.15 + min: 0.0 abs_eta_2: max: 0.3 - mid: 0.3 - min: 0.3 + mid: 0.15 + min: 0.0 m_jj: max: 79.42 mid: 77.15 @@ -145,12 +145,12 @@ bins: min: null - abs_eta_1: max: 0.3 - mid: 0.3 - min: 0.3 + mid: 0.15 + min: 0.0 abs_eta_2: max: 0.3 - mid: 0.3 - min: 0.3 + mid: 0.15 + min: 0.0 m_jj: max: 93.72 mid: 91.14 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/kinematics_D.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/kinematics_D.yaml index 4636085044..d37026f003 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/kinematics_D.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/kinematics_D.yaml @@ -1,12 +1,12 @@ bins: - abs_eta_1: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 abs_eta_2: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 m_jj: max: 22.68 mid: 20.54 @@ -17,12 +17,12 @@ bins: min: null - abs_eta_1: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 abs_eta_2: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 m_jj: max: 23.04 mid: 22.09 @@ -33,12 +33,12 @@ bins: min: null - abs_eta_1: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 abs_eta_2: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 m_jj: max: 27.29 mid: 26.31 @@ -49,12 +49,12 @@ bins: min: null - abs_eta_1: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 abs_eta_2: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 m_jj: max: 32.94 mid: 31.72 @@ -65,12 +65,12 @@ bins: min: null - abs_eta_1: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 abs_eta_2: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 m_jj: max: 39.79 mid: 38.48 @@ -81,12 +81,12 @@ bins: min: null - abs_eta_1: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 abs_eta_2: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 m_jj: max: 46.76 mid: 45.21 @@ -97,12 +97,12 @@ bins: min: null - abs_eta_1: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 abs_eta_2: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 m_jj: max: 55.84 mid: 54.150000000000006 @@ -113,12 +113,12 @@ bins: min: null - abs_eta_1: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 abs_eta_2: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 m_jj: max: 66.22 mid: 64.3 @@ -129,12 +129,12 @@ bins: min: null - abs_eta_1: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 abs_eta_2: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 m_jj: max: 78.81 mid: 76.66 @@ -145,12 +145,12 @@ bins: min: null - abs_eta_1: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 abs_eta_2: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 m_jj: max: 92.19 mid: 89.57 @@ -161,12 +161,12 @@ bins: min: null - abs_eta_1: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 abs_eta_2: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 m_jj: max: 109.83 mid: 106.86 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/filter.py b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/filter.py index 58d6c4b509..767303d341 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/filter.py +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/filter.py @@ -76,7 +76,7 @@ def read_2jet_data(topology): ) for p in ["1", "2"]: - df[f"abs_eta{p}_min"] = TOPO_DEF[topology][f"abs_eta{p}_max"] + df[f"abs_eta{p}_min"] = TOPO_DEF[topology][f"abs_eta{p}_min"] df[f"abs_eta{p}_max"] = TOPO_DEF[topology][f"abs_eta{p}_max"] df[f"abs_eta{p}"] = (df[f"abs_eta{p}_min"] + df[f"abs_eta{p}_max"]) / 2 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/kinematics_A.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/kinematics_A.yaml index 19be678f81..c9bf9779e0 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/kinematics_A.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/kinematics_A.yaml @@ -1,12 +1,12 @@ bins: - abs_eta_1: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 abs_eta_2: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 m_jj: max: 17.16 mid: 15.74 @@ -17,12 +17,12 @@ bins: min: null - abs_eta_1: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 abs_eta_2: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 m_jj: max: 19.64 mid: 18.5 @@ -33,12 +33,12 @@ bins: min: null - abs_eta_1: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 abs_eta_2: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 m_jj: max: 22.91 mid: 21.96 @@ -49,12 +49,12 @@ bins: min: null - abs_eta_1: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 abs_eta_2: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 m_jj: max: 27.110000000000003 mid: 26.17 @@ -65,12 +65,12 @@ bins: min: null - abs_eta_1: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 abs_eta_2: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 m_jj: max: 32.67 mid: 31.63 @@ -81,12 +81,12 @@ bins: min: null - abs_eta_1: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 abs_eta_2: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 m_jj: max: 39.16 mid: 37.8 @@ -97,12 +97,12 @@ bins: min: null - abs_eta_1: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 abs_eta_2: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 m_jj: max: 46.1 mid: 44.75 @@ -113,12 +113,12 @@ bins: min: null - abs_eta_1: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 abs_eta_2: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 m_jj: max: 54.81 mid: 53.31 @@ -129,12 +129,12 @@ bins: min: null - abs_eta_1: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 abs_eta_2: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 m_jj: max: 65.37 mid: 63.64 @@ -145,12 +145,12 @@ bins: min: null - abs_eta_1: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 abs_eta_2: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 m_jj: max: 77.38 mid: 75.32 @@ -161,12 +161,12 @@ bins: min: null - abs_eta_1: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 abs_eta_2: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 m_jj: max: 92.17 mid: 89.66 @@ -177,12 +177,12 @@ bins: min: null - abs_eta_1: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 abs_eta_2: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 m_jj: max: 108.53 mid: 105.63 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/kinematics_B.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/kinematics_B.yaml index 52e909021b..97c0332a04 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/kinematics_B.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/kinematics_B.yaml @@ -1,12 +1,12 @@ bins: - abs_eta_1: max: 0.3 - mid: 0.3 - min: 0.3 + mid: 0.15 + min: 0.0 abs_eta_2: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 m_jj: max: 16.96 mid: 15.49 @@ -17,12 +17,12 @@ bins: min: null - abs_eta_1: max: 0.3 - mid: 0.3 - min: 0.3 + mid: 0.15 + min: 0.0 abs_eta_2: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 m_jj: max: 19.31 mid: 18.48 @@ -33,12 +33,12 @@ bins: min: null - abs_eta_1: max: 0.3 - mid: 0.3 - min: 0.3 + mid: 0.15 + min: 0.0 abs_eta_2: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 m_jj: max: 23.08 mid: 22.33 @@ -49,12 +49,12 @@ bins: min: null - abs_eta_1: max: 0.3 - mid: 0.3 - min: 0.3 + mid: 0.15 + min: 0.0 abs_eta_2: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 m_jj: max: 27.580000000000002 mid: 26.67 @@ -65,12 +65,12 @@ bins: min: null - abs_eta_1: max: 0.3 - mid: 0.3 - min: 0.3 + mid: 0.15 + min: 0.0 abs_eta_2: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 m_jj: max: 33.15 mid: 32.16 @@ -81,12 +81,12 @@ bins: min: null - abs_eta_1: max: 0.3 - mid: 0.3 - min: 0.3 + mid: 0.15 + min: 0.0 abs_eta_2: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 m_jj: max: 39.760000000000005 mid: 38.59 @@ -97,12 +97,12 @@ bins: min: null - abs_eta_1: max: 0.3 - mid: 0.3 - min: 0.3 + mid: 0.15 + min: 0.0 abs_eta_2: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 m_jj: max: 47.06999999999999 mid: 45.66 @@ -113,12 +113,12 @@ bins: min: null - abs_eta_1: max: 0.3 - mid: 0.3 - min: 0.3 + mid: 0.15 + min: 0.0 abs_eta_2: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 m_jj: max: 56.0 mid: 54.49 @@ -129,12 +129,12 @@ bins: min: null - abs_eta_1: max: 0.3 - mid: 0.3 - min: 0.3 + mid: 0.15 + min: 0.0 abs_eta_2: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 m_jj: max: 66.77 mid: 65.02 @@ -145,12 +145,12 @@ bins: min: null - abs_eta_1: max: 0.3 - mid: 0.3 - min: 0.3 + mid: 0.15 + min: 0.0 abs_eta_2: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 m_jj: max: 79.22999999999999 mid: 77.16 @@ -161,12 +161,12 @@ bins: min: null - abs_eta_1: max: 0.3 - mid: 0.3 - min: 0.3 + mid: 0.15 + min: 0.0 abs_eta_2: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 m_jj: max: 93.89999999999999 mid: 91.33 @@ -177,12 +177,12 @@ bins: min: null - abs_eta_1: max: 0.3 - mid: 0.3 - min: 0.3 + mid: 0.15 + min: 0.0 abs_eta_2: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 m_jj: max: 112.25 mid: 109.2 @@ -193,12 +193,12 @@ bins: min: null - abs_eta_1: max: 0.3 - mid: 0.3 - min: 0.3 + mid: 0.15 + min: 0.0 abs_eta_2: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 m_jj: max: 133.2 mid: 129.75 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/kinematics_C.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/kinematics_C.yaml index d4e97ff6e2..7cc7d58977 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/kinematics_C.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/kinematics_C.yaml @@ -1,12 +1,12 @@ bins: - abs_eta_1: max: 0.3 - mid: 0.3 - min: 0.3 + mid: 0.15 + min: 0.0 abs_eta_2: max: 0.3 - mid: 0.3 - min: 0.3 + mid: 0.15 + min: 0.0 m_jj: max: 17.26 mid: 15.72 @@ -17,12 +17,12 @@ bins: min: null - abs_eta_1: max: 0.3 - mid: 0.3 - min: 0.3 + mid: 0.15 + min: 0.0 abs_eta_2: max: 0.3 - mid: 0.3 - min: 0.3 + mid: 0.15 + min: 0.0 m_jj: max: 19.889999999999997 mid: 18.9 @@ -33,12 +33,12 @@ bins: min: null - abs_eta_1: max: 0.3 - mid: 0.3 - min: 0.3 + mid: 0.15 + min: 0.0 abs_eta_2: max: 0.3 - mid: 0.3 - min: 0.3 + mid: 0.15 + min: 0.0 m_jj: max: 23.259999999999998 mid: 22.24 @@ -49,12 +49,12 @@ bins: min: null - abs_eta_1: max: 0.3 - mid: 0.3 - min: 0.3 + mid: 0.15 + min: 0.0 abs_eta_2: max: 0.3 - mid: 0.3 - min: 0.3 + mid: 0.15 + min: 0.0 m_jj: max: 28.12 mid: 27.14 @@ -65,12 +65,12 @@ bins: min: null - abs_eta_1: max: 0.3 - mid: 0.3 - min: 0.3 + mid: 0.15 + min: 0.0 abs_eta_2: max: 0.3 - mid: 0.3 - min: 0.3 + mid: 0.15 + min: 0.0 m_jj: max: 34.120000000000005 mid: 33.03 @@ -81,12 +81,12 @@ bins: min: null - abs_eta_1: max: 0.3 - mid: 0.3 - min: 0.3 + mid: 0.15 + min: 0.0 abs_eta_2: max: 0.3 - mid: 0.3 - min: 0.3 + mid: 0.15 + min: 0.0 m_jj: max: 40.78 mid: 39.35 @@ -97,12 +97,12 @@ bins: min: null - abs_eta_1: max: 0.3 - mid: 0.3 - min: 0.3 + mid: 0.15 + min: 0.0 abs_eta_2: max: 0.3 - mid: 0.3 - min: 0.3 + mid: 0.15 + min: 0.0 m_jj: max: 48.16 mid: 46.62 @@ -113,12 +113,12 @@ bins: min: null - abs_eta_1: max: 0.3 - mid: 0.3 - min: 0.3 + mid: 0.15 + min: 0.0 abs_eta_2: max: 0.3 - mid: 0.3 - min: 0.3 + mid: 0.15 + min: 0.0 m_jj: max: 57.45 mid: 55.74 @@ -129,12 +129,12 @@ bins: min: null - abs_eta_1: max: 0.3 - mid: 0.3 - min: 0.3 + mid: 0.15 + min: 0.0 abs_eta_2: max: 0.3 - mid: 0.3 - min: 0.3 + mid: 0.15 + min: 0.0 m_jj: max: 68.32000000000001 mid: 66.39 @@ -145,12 +145,12 @@ bins: min: null - abs_eta_1: max: 0.3 - mid: 0.3 - min: 0.3 + mid: 0.15 + min: 0.0 abs_eta_2: max: 0.3 - mid: 0.3 - min: 0.3 + mid: 0.15 + min: 0.0 m_jj: max: 81.23 mid: 78.97 @@ -161,12 +161,12 @@ bins: min: null - abs_eta_1: max: 0.3 - mid: 0.3 - min: 0.3 + mid: 0.15 + min: 0.0 abs_eta_2: max: 0.3 - mid: 0.3 - min: 0.3 + mid: 0.15 + min: 0.0 m_jj: max: 97.07 mid: 94.22 @@ -177,12 +177,12 @@ bins: min: null - abs_eta_1: max: 0.3 - mid: 0.3 - min: 0.3 + mid: 0.15 + min: 0.0 abs_eta_2: max: 0.3 - mid: 0.3 - min: 0.3 + mid: 0.15 + min: 0.0 m_jj: max: 114.7 mid: 111.48 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/kinematics_D.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/kinematics_D.yaml index c0b3fc00f6..fce33b81ae 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/kinematics_D.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/kinematics_D.yaml @@ -1,12 +1,12 @@ bins: - abs_eta_1: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 abs_eta_2: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 m_jj: max: 19.349999999999998 mid: 18.2 @@ -17,12 +17,12 @@ bins: min: null - abs_eta_1: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 abs_eta_2: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 m_jj: max: 22.71 mid: 21.67 @@ -33,12 +33,12 @@ bins: min: null - abs_eta_1: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 abs_eta_2: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 m_jj: max: 27.16 mid: 26.12 @@ -49,12 +49,12 @@ bins: min: null - abs_eta_1: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 abs_eta_2: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 m_jj: max: 32.440000000000005 mid: 31.42 @@ -65,12 +65,12 @@ bins: min: null - abs_eta_1: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 abs_eta_2: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 m_jj: max: 38.58 mid: 37.33 @@ -81,12 +81,12 @@ bins: min: null - abs_eta_1: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 abs_eta_2: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 m_jj: max: 46.11 mid: 44.6 @@ -97,12 +97,12 @@ bins: min: null - abs_eta_1: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 abs_eta_2: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 m_jj: max: 55.3 mid: 53.61 @@ -113,12 +113,12 @@ bins: min: null - abs_eta_1: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 abs_eta_2: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 m_jj: max: 65.31 mid: 63.38 @@ -129,12 +129,12 @@ bins: min: null - abs_eta_1: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 abs_eta_2: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 m_jj: max: 77.78999999999999 mid: 75.52 @@ -145,12 +145,12 @@ bins: min: null - abs_eta_1: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 abs_eta_2: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 m_jj: max: 92.3 mid: 89.6 @@ -161,12 +161,12 @@ bins: min: null - abs_eta_1: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 abs_eta_2: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 m_jj: max: 109.83 mid: 106.63 @@ -177,12 +177,12 @@ bins: min: null - abs_eta_1: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 abs_eta_2: max: 0.9 - mid: 0.9 - min: 0.9 + mid: 0.6 + min: 0.3 m_jj: max: 130.99 mid: 127.17 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/filter.py b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/filter.py index eeba7ca9ea..2f812d9ae3 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/filter.py +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/filter.py @@ -101,7 +101,7 @@ def read_2jet_data(topology): df["mjj_min"] = df["mjj"] + mjj_data["Syst -"] df["mjj_max"] = df["mjj"] + mjj_data["Syst +"] - df["abs_eta_min"] = TOPO_DEF[topology]["abs_eta_max"] + df["abs_eta_min"] = TOPO_DEF[topology]["abs_eta_min"] df["abs_eta_max"] = TOPO_DEF[topology]["abs_eta_max"] df["abs_eta"] = (df["abs_eta_min"] + df["abs_eta_max"]) / 2 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/kinematics_OS.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/kinematics_OS.yaml index 46e7556f74..b23acc1713 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/kinematics_OS.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/kinematics_OS.yaml @@ -1,12 +1,12 @@ bins: - abs_eta_1: max: 0.8 - mid: 0.8 - min: 0.8 + mid: 0.4 + min: 0.0 abs_eta_2: max: 0.8 - mid: 0.8 - min: 0.8 + mid: 0.4 + min: 0.0 m_jj: max: 21.1 mid: 20.48 @@ -17,12 +17,12 @@ bins: min: null - abs_eta_1: max: 0.8 - mid: 0.8 - min: 0.8 + mid: 0.4 + min: 0.0 abs_eta_2: max: 0.8 - mid: 0.8 - min: 0.8 + mid: 0.4 + min: 0.0 m_jj: max: 24.24 mid: 23.65 @@ -33,12 +33,12 @@ bins: min: null - abs_eta_1: max: 0.8 - mid: 0.8 - min: 0.8 + mid: 0.4 + min: 0.0 abs_eta_2: max: 0.8 - mid: 0.8 - min: 0.8 + mid: 0.4 + min: 0.0 m_jj: max: 29.19 mid: 28.5 @@ -49,12 +49,12 @@ bins: min: null - abs_eta_1: max: 0.8 - mid: 0.8 - min: 0.8 + mid: 0.4 + min: 0.0 abs_eta_2: max: 0.8 - mid: 0.8 - min: 0.8 + mid: 0.4 + min: 0.0 m_jj: max: 35.17 mid: 34.38 @@ -65,12 +65,12 @@ bins: min: null - abs_eta_1: max: 0.8 - mid: 0.8 - min: 0.8 + mid: 0.4 + min: 0.0 abs_eta_2: max: 0.8 - mid: 0.8 - min: 0.8 + mid: 0.4 + min: 0.0 m_jj: max: 42.300000000000004 mid: 41.38 @@ -81,12 +81,12 @@ bins: min: null - abs_eta_1: max: 0.8 - mid: 0.8 - min: 0.8 + mid: 0.4 + min: 0.0 abs_eta_2: max: 0.8 - mid: 0.8 - min: 0.8 + mid: 0.4 + min: 0.0 m_jj: max: 52.33 mid: 51.25 @@ -97,12 +97,12 @@ bins: min: null - abs_eta_1: max: 0.8 - mid: 0.8 - min: 0.8 + mid: 0.4 + min: 0.0 abs_eta_2: max: 0.8 - mid: 0.8 - min: 0.8 + mid: 0.4 + min: 0.0 m_jj: max: 71.27 mid: 69.96 diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/kinematics_SS.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/kinematics_SS.yaml index 105c7da02a..5eda6b0240 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/kinematics_SS.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/kinematics_SS.yaml @@ -1,12 +1,12 @@ bins: - abs_eta_1: max: 0.8 - mid: 0.8 - min: 0.8 + mid: 0.4 + min: 0.0 abs_eta_2: max: 0.8 - mid: 0.8 - min: 0.8 + mid: 0.4 + min: 0.0 m_jj: max: 20.82 mid: 20.29 @@ -17,12 +17,12 @@ bins: min: null - abs_eta_1: max: 0.8 - mid: 0.8 - min: 0.8 + mid: 0.4 + min: 0.0 abs_eta_2: max: 0.8 - mid: 0.8 - min: 0.8 + mid: 0.4 + min: 0.0 m_jj: max: 24.11 mid: 23.5 @@ -33,12 +33,12 @@ bins: min: null - abs_eta_1: max: 0.8 - mid: 0.8 - min: 0.8 + mid: 0.4 + min: 0.0 abs_eta_2: max: 0.8 - mid: 0.8 - min: 0.8 + mid: 0.4 + min: 0.0 m_jj: max: 28.94 mid: 28.28 @@ -49,12 +49,12 @@ bins: min: null - abs_eta_1: max: 0.8 - mid: 0.8 - min: 0.8 + mid: 0.4 + min: 0.0 abs_eta_2: max: 0.8 - mid: 0.8 - min: 0.8 + mid: 0.4 + min: 0.0 m_jj: max: 34.93 mid: 34.15 @@ -65,12 +65,12 @@ bins: min: null - abs_eta_1: max: 0.8 - mid: 0.8 - min: 0.8 + mid: 0.4 + min: 0.0 abs_eta_2: max: 0.8 - mid: 0.8 - min: 0.8 + mid: 0.4 + min: 0.0 m_jj: max: 41.85 mid: 40.96 @@ -81,12 +81,12 @@ bins: min: null - abs_eta_1: max: 0.8 - mid: 0.8 - min: 0.8 + mid: 0.4 + min: 0.0 abs_eta_2: max: 0.8 - mid: 0.8 - min: 0.8 + mid: 0.4 + min: 0.0 m_jj: max: 51.78 mid: 50.75 @@ -97,12 +97,12 @@ bins: min: null - abs_eta_1: max: 0.8 - mid: 0.8 - min: 0.8 + mid: 0.4 + min: 0.0 abs_eta_2: max: 0.8 - mid: 0.8 - min: 0.8 + mid: 0.4 + min: 0.0 m_jj: max: 70.42 mid: 69.11 From 03bdb010aad8ea162746cfa8a8dbcc795977d9cf Mon Sep 17 00:00:00 2001 From: Giacomo Magni Date: Sun, 14 Jul 2024 23:27:27 +0200 Subject: [PATCH 66/70] some fixes to metadata --- .../STAR_2009_2JET_200GEV/metadata.yaml | 12 +++++++++--- .../STAR_2009_2JET_MIDRAP_200GEV/metadata.yaml | 2 ++ .../STAR_2012_2JET_510GEV/metadata.yaml | 4 ++++ .../STAR_2013_2JET_510GEV/metadata.yaml | 4 ++++ .../STAR_2015_2JET_MIDRAP_200GEV/metadata.yaml | 2 ++ 5 files changed, 21 insertions(+), 3 deletions(-) diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/metadata.yaml index 9fe0c6ce63..de2d2ff67c 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/metadata.yaml @@ -50,7 +50,9 @@ implemented_observables: y_label: "$A_{LL}$" theory: FK_tables: - - - STAR_2009_2JET_200GEV_A-ALL + - - STAR_2009_2JET_200GEV_A-ALL-POL + - - STAR_2009_2JET_200GEV_A-ALL-UNPOL + operation: "ratio" - observable: { description: "ALL as function of $M_{inv}$, topology B", @@ -85,7 +87,9 @@ implemented_observables: y_label: "$A_{LL}$" theory: FK_tables: - - - STAR_2009_2JET_200GEV_B-ALL + - - STAR_2009_2JET_200GEV_B-ALL-POL + - - STAR_2009_2JET_200GEV_B-ALL-UNPOL + operation: "ratio" - observable: { description: "ALL as function of $M_{inv}$, topology C", @@ -120,4 +124,6 @@ implemented_observables: y_label: "$A_{LL}$" theory: FK_tables: - - - STAR_2009_2JET_200GEV_C-ALL \ No newline at end of file + - - STAR_2009_2JET_200GEV_C-ALL-POL + - - STAR_2009_2JET_200GEV_C-ALL-UNPOL + operation: "ratio" \ No newline at end of file diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/metadata.yaml index bf925b6b8d..27eff73545 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/metadata.yaml @@ -52,6 +52,7 @@ implemented_observables: FK_tables: - - STAR_2009_2JET_MIDRAP_200GEV_OS-ALL-POL - - STAR_2009_2JET_MIDRAP_200GEV_OS-ALL-UNPOL + operation: "ratio" - observable: { description: "ALL as function of $M_{inv}$, SS", @@ -88,3 +89,4 @@ implemented_observables: FK_tables: - - STAR_2009_2JET_MIDRAP_200GEV_SS-ALL-POL - - STAR_2009_2JET_MIDRAP_200GEV_SS-ALL-UNPOL + operation: "ratio" diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/metadata.yaml index 24c834e8f5..1599129e76 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/metadata.yaml @@ -52,6 +52,7 @@ implemented_observables: FK_tables: - - STAR_2012_2JET_510GEV_A-ALL-POL - - STAR_2012_2JET_510GEV_A-ALL-UNPOL + operation: "ratio" - observable: { description: "ALL as function of $M_{inv}$, topology B", @@ -88,6 +89,7 @@ implemented_observables: FK_tables: - - STAR_2012_2JET_510GEV_B-ALL-POL - - STAR_2012_2JET_510GEV_B-ALL-UNPOL + operation: "ratio" - observable: { description: "ALL as function of $M_{inv}$, topology C", @@ -124,6 +126,7 @@ implemented_observables: FK_tables: - - STAR_2012_2JET_510GEV_C-ALL-POL - - STAR_2012_2JET_510GEV_C-ALL-UNPOL + operation: "ratio" - observable: { description: "ALL as function of $M_{inv}$, topology D", @@ -160,3 +163,4 @@ implemented_observables: FK_tables: - - STAR_2012_2JET_510GEV_D-ALL-POL - - STAR_2012_2JET_510GEV_D-ALL-UNPOL + operation: "ratio" diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/metadata.yaml index 5162c189cb..90b0b54a9e 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/metadata.yaml @@ -52,6 +52,7 @@ implemented_observables: FK_tables: - - STAR_2013_2JET_510GEV_A-ALL-POL - - STAR_2013_2JET_510GEV_A-ALL-UNPOL + operation: "ratio" - observable: { description: "ALL as function of $M_{inv}$, topology B", @@ -88,6 +89,7 @@ implemented_observables: FK_tables: - - STAR_2013_2JET_510GEV_B-ALL-POL - - STAR_2013_2JET_510GEV_B-ALL-UNPOL + operation: "ratio" - observable: { description: "ALL as function of $M_{inv}$, topology C", @@ -124,6 +126,7 @@ implemented_observables: FK_tables: - - STAR_2013_2JET_510GEV_C-ALL-POL - - STAR_2013_2JET_510GEV_C-ALL-UNPOL + operation: "ratio" - observable: { description: "ALL as function of $M_{inv}$, topology D", @@ -160,3 +163,4 @@ implemented_observables: FK_tables: - - STAR_2013_2JET_510GEV_D-ALL-POL - - STAR_2013_2JET_510GEV_D-ALL-UNPOL + operation: "ratio" diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/metadata.yaml index 39ccc5f2a7..06457ba09c 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/metadata.yaml @@ -52,6 +52,7 @@ implemented_observables: FK_tables: - - STAR_2015_2JET_MIDRAP_200GEV_OS-ALL-POL - - STAR_2015_2JET_MIDRAP_200GEV_OS-ALL-UNPOL + operation: "ratio" - observable: { description: "ALL as function of $M_{inv}$, same sign $\eta$ topology", @@ -88,3 +89,4 @@ implemented_observables: FK_tables: - - STAR_2015_2JET_MIDRAP_200GEV_SS-ALL-POL - - STAR_2015_2JET_MIDRAP_200GEV_SS-ALL-UNPOL + operation: "ratio" From c2d94019a853f980b122e519e17e98f014243799 Mon Sep 17 00:00:00 2001 From: giacomomagni Date: Tue, 16 Jul 2024 00:25:56 +0200 Subject: [PATCH 67/70] remove sqrts from dijets --- .../STAR_2009_1JET_200GEV/filter.py | 4 +- .../STAR_2009_2JET_200GEV/kinematics_A.yaml | 20 ------- .../STAR_2009_2JET_200GEV/kinematics_B.yaml | 28 ---------- .../STAR_2009_2JET_200GEV/kinematics_C.yaml | 28 ---------- .../STAR_2009_2JET_200GEV/metadata.yaml | 42 +++++++------- .../kinematics_OS.yaml | 28 ---------- .../kinematics_SS.yaml | 28 ---------- .../metadata.yaml | 28 +++++----- .../STAR_2012_1JET_510GEV/filter.py | 2 +- .../STAR_2012_2JET_510GEV/kinematics_A.yaml | 40 ------------- .../STAR_2012_2JET_510GEV/kinematics_B.yaml | 44 --------------- .../STAR_2012_2JET_510GEV/kinematics_C.yaml | 40 ------------- .../STAR_2012_2JET_510GEV/kinematics_D.yaml | 44 --------------- .../STAR_2012_2JET_510GEV/metadata.yaml | 56 +++++++++---------- .../STAR_2013_1JET_510GEV/filter.py | 2 +- .../STAR_2013_2JET_510GEV/kinematics_A.yaml | 48 ---------------- .../STAR_2013_2JET_510GEV/kinematics_B.yaml | 52 ----------------- .../STAR_2013_2JET_510GEV/kinematics_C.yaml | 48 ---------------- .../STAR_2013_2JET_510GEV/kinematics_D.yaml | 48 ---------------- .../STAR_2013_2JET_510GEV/metadata.yaml | 56 +++++++++---------- .../STAR_2015_1JET_200GEV/filter.py | 2 +- .../kinematics_OS.yaml | 28 ---------- .../kinematics_SS.yaml | 28 ---------- .../metadata.yaml | 28 +++++----- 24 files changed, 110 insertions(+), 662 deletions(-) diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/filter.py b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/filter.py index 51b0f451bf..eaaccbadda 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/filter.py +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_1JET_200GEV/filter.py @@ -230,7 +230,7 @@ def write_2jet_data(df, topology, art_sys): "mid": float(df.loc[i, "m"]), "max": float(df.loc[i, "m_high"]), }, - "sqrts": {"min": None, "mid": float(df.loc[i, "sqrts"]), "max": None}, + # "sqrts": {"min": None, "mid": float(df.loc[i, "sqrts"]), "max": None}, "eta_1": { "min": float(df.loc[i, "eta1_min"]), "mid": float(df.loc[i, "eta1"]), @@ -246,7 +246,7 @@ def write_2jet_data(df, topology, art_sys): df["abs_eta"] = (df["abs_eta_min"] + df["abs_eta_max"]) / 2 kin_value = { "m_jj": {"min": None, "mid": float(df.loc[i, "m"]), "max": None}, - "sqrts": {"min": None, "mid": float(df.loc[i, "sqrts"]), "max": None}, + # "sqrts": {"min": None, "mid": float(df.loc[i, "sqrts"]), "max": None}, "abs_eta_1": { "min": float(df.loc[i, "abs_eta_min"]), "mid": float(df.loc[i, "abs_eta"]), diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/kinematics_A.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/kinematics_A.yaml index e138d46f01..9f24498bec 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/kinematics_A.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/kinematics_A.yaml @@ -11,10 +11,6 @@ bins: max: 19.38 mid: 18.5 min: 17.62 - sqrts: - max: null - mid: 200.0 - min: null - eta_1: max: 1.8 mid: 1.3 @@ -27,10 +23,6 @@ bins: max: 22.9 mid: 21.7 min: 20.5 - sqrts: - max: null - mid: 200.0 - min: null - eta_1: max: 1.8 mid: 1.3 @@ -43,10 +35,6 @@ bins: max: 27.59 mid: 26.310000000000002 min: 25.03 - sqrts: - max: null - mid: 200.0 - min: null - eta_1: max: 1.8 mid: 1.3 @@ -59,10 +47,6 @@ bins: max: 33.48 mid: 31.74 min: 30.0 - sqrts: - max: null - mid: 200.0 - min: null - eta_1: max: 1.8 mid: 1.3 @@ -75,7 +59,3 @@ bins: max: 40.39 mid: 38.879999999999995 min: 37.37 - sqrts: - max: null - mid: 200.0 - min: null diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/kinematics_B.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/kinematics_B.yaml index 130698868f..462e9c811c 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/kinematics_B.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/kinematics_B.yaml @@ -11,10 +11,6 @@ bins: max: 19.82 mid: 18.439999999999998 min: 17.06 - sqrts: - max: null - mid: 200.0 - min: null - eta_1: max: 0.0 mid: -0.4 @@ -27,10 +23,6 @@ bins: max: 23.1 mid: 22.11 min: 21.12 - sqrts: - max: null - mid: 200.0 - min: null - eta_1: max: 0.0 mid: -0.4 @@ -43,10 +35,6 @@ bins: max: 27.73 mid: 26.57 min: 25.41 - sqrts: - max: null - mid: 200.0 - min: null - eta_1: max: 0.0 mid: -0.4 @@ -59,10 +47,6 @@ bins: max: 33.76 mid: 32.21 min: 30.66 - sqrts: - max: null - mid: 200.0 - min: null - eta_1: max: 0.0 mid: -0.4 @@ -75,10 +59,6 @@ bins: max: 39.75 mid: 38.35 min: 36.95 - sqrts: - max: null - mid: 200.0 - min: null - eta_1: max: 0.0 mid: -0.4 @@ -91,10 +71,6 @@ bins: max: 49.66 mid: 48.01 min: 46.36 - sqrts: - max: null - mid: 200.0 - min: null - eta_1: max: 0.0 mid: -0.4 @@ -107,7 +83,3 @@ bins: max: 67.88 mid: 65.72999999999999 min: 63.58 - sqrts: - max: null - mid: 200.0 - min: null diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/kinematics_C.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/kinematics_C.yaml index df13c3d8a1..1351f99837 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/kinematics_C.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/kinematics_C.yaml @@ -11,10 +11,6 @@ bins: max: 19.71 mid: 18.509999999999998 min: 17.31 - sqrts: - max: null - mid: 200.0 - min: null - eta_1: max: 0.8 mid: 0.4 @@ -27,10 +23,6 @@ bins: max: 22.94 mid: 21.78 min: 20.62 - sqrts: - max: null - mid: 200.0 - min: null - eta_1: max: 0.8 mid: 0.4 @@ -43,10 +35,6 @@ bins: max: 27.21 mid: 26.02 min: 24.83 - sqrts: - max: null - mid: 200.0 - min: null - eta_1: max: 0.8 mid: 0.4 @@ -59,10 +47,6 @@ bins: max: 32.16 mid: 30.79 min: 29.42 - sqrts: - max: null - mid: 200.0 - min: null - eta_1: max: 0.8 mid: 0.4 @@ -75,10 +59,6 @@ bins: max: 39.28 mid: 37.95 min: 36.62 - sqrts: - max: null - mid: 200.0 - min: null - eta_1: max: 0.8 mid: 0.4 @@ -91,10 +71,6 @@ bins: max: 47.98 mid: 46.43 min: 44.88 - sqrts: - max: null - mid: 200.0 - min: null - eta_1: max: 0.8 mid: 0.4 @@ -107,7 +83,3 @@ bins: max: 66.04 mid: 62.82000000000001 min: 59.6 - sqrts: - max: null - mid: 200.0 - min: null diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/metadata.yaml index de2d2ff67c..14289e5a5a 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_200GEV/metadata.yaml @@ -29,16 +29,16 @@ implemented_observables: kinematics: variables: m_jj: { description: "dijet mass", label: "$m_{jj}$", units: "GeV" } - sqrts: - { - description: "center of mass energy", - label: r"$\sqrt(s)$", - units: "GeV", - } + # sqrts: + # { + # description: "center of mass energy", + # label: r"$\sqrt(s)$", + # units: "GeV", + # } eta_1: { description: "eta jet", label: r"$\eta_j$", units: "" } eta_2: { description: "eta jet", label: r"$\eta_j$", units: "" } file: kinematics_A.yaml - kinematic_coverage: [m_jj, sqrts, eta_1, eta_2] + kinematic_coverage: [m_jj, eta_1, eta_2] data_central: data_A.yaml data_uncertainties: - uncertainties_A.yaml @@ -66,16 +66,16 @@ implemented_observables: kinematics: variables: m_jj: { description: "dijet mass", label: "$m_{jj}$", units: "GeV" } - sqrts: - { - description: "center of mass energy", - label: r"$\sqrt(s)$", - units: "GeV", - } + # sqrts: + # { + # description: "center of mass energy", + # label: r"$\sqrt(s)$", + # units: "GeV", + # } eta_1: { description: "eta jet", label: r"$\eta_j$", units: "" } eta_2: { description: "eta jet", label: r"$\eta_j$", units: "" } file: kinematics_B.yaml - kinematic_coverage: [m_jj, sqrts, eta_1, eta_2] + kinematic_coverage: [m_jj, eta_1, eta_2] data_central: data_B.yaml data_uncertainties: - uncertainties_B.yaml @@ -103,16 +103,16 @@ implemented_observables: kinematics: variables: m_jj: { description: "dijet mass", label: "$m_{jj}$", units: "GeV" } - sqrts: - { - description: "center of mass energy", - label: r"$\sqrt(s)$", - units: "GeV", - } + # sqrts: + # { + # description: "center of mass energy", + # label: r"$\sqrt(s)$", + # units: "GeV", + # } eta_1: { description: "eta jet", label: r"$\eta_j$", units: "" } eta_2: { description: "eta jet", label: r"$\eta_j$", units: "" } file: kinematics_C.yaml - kinematic_coverage: [m_jj, sqrts, eta_1, eta_2] + kinematic_coverage: [m_jj, eta_1, eta_2] data_central: data_C.yaml data_uncertainties: - uncertainties_C.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/kinematics_OS.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/kinematics_OS.yaml index 1b03e5e1e7..7ad694d6b5 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/kinematics_OS.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/kinematics_OS.yaml @@ -11,10 +11,6 @@ bins: max: null mid: 17.99 min: null - sqrts: - max: null - mid: 200.0 - min: null - abs_eta_1: max: 0.8 mid: 0.4 @@ -27,10 +23,6 @@ bins: max: null mid: 21.58 min: null - sqrts: - max: null - mid: 200.0 - min: null - abs_eta_1: max: 0.8 mid: 0.4 @@ -43,10 +35,6 @@ bins: max: null mid: 26.29 min: null - sqrts: - max: null - mid: 200.0 - min: null - abs_eta_1: max: 0.8 mid: 0.4 @@ -59,10 +47,6 @@ bins: max: null mid: 31.72 min: null - sqrts: - max: null - mid: 200.0 - min: null - abs_eta_1: max: 0.8 mid: 0.4 @@ -75,10 +59,6 @@ bins: max: null mid: 38.38 min: null - sqrts: - max: null - mid: 200.0 - min: null - abs_eta_1: max: 0.8 mid: 0.4 @@ -91,10 +71,6 @@ bins: max: null mid: 48.79 min: null - sqrts: - max: null - mid: 200.0 - min: null - abs_eta_1: max: 0.8 mid: 0.4 @@ -107,7 +83,3 @@ bins: max: null mid: 67.32 min: null - sqrts: - max: null - mid: 200.0 - min: null diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/kinematics_SS.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/kinematics_SS.yaml index 14509ea0f7..cc0479a1c9 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/kinematics_SS.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/kinematics_SS.yaml @@ -11,10 +11,6 @@ bins: max: null mid: 17.7 min: null - sqrts: - max: null - mid: 200.0 - min: null - abs_eta_1: max: 0.8 mid: 0.4 @@ -27,10 +23,6 @@ bins: max: null mid: 21.34 min: null - sqrts: - max: null - mid: 200.0 - min: null - abs_eta_1: max: 0.8 mid: 0.4 @@ -43,10 +35,6 @@ bins: max: null mid: 26.02 min: null - sqrts: - max: null - mid: 200.0 - min: null - abs_eta_1: max: 0.8 mid: 0.4 @@ -59,10 +47,6 @@ bins: max: null mid: 31.66 min: null - sqrts: - max: null - mid: 200.0 - min: null - abs_eta_1: max: 0.8 mid: 0.4 @@ -75,10 +59,6 @@ bins: max: null mid: 38.25 min: null - sqrts: - max: null - mid: 200.0 - min: null - abs_eta_1: max: 0.8 mid: 0.4 @@ -91,10 +71,6 @@ bins: max: null mid: 48.28 min: null - sqrts: - max: null - mid: 200.0 - min: null - abs_eta_1: max: 0.8 mid: 0.4 @@ -107,7 +83,3 @@ bins: max: null mid: 66.65 min: null - sqrts: - max: null - mid: 200.0 - min: null diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/metadata.yaml index 27eff73545..25437191bd 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/metadata.yaml @@ -29,16 +29,16 @@ implemented_observables: kinematics: variables: m_jj: { description: "dijet mass", label: "$m_{jj}$", units: "GeV" } - sqrts: - { - description: "center of mass energy", - label: r"$\sqrt(s)$", - units: "GeV", - } + # sqrts: + # { + # description: "center of mass energy", + # label: r"$\sqrt(s)$", + # units: "GeV", + # } abs_eta_1: { description: "abs eta jet", label: r"$|\eta_j|$", units: "" } abs_eta_2: { description: "abs eta jet", label: r"$|\eta_j|$", units: "" } file: kinematics_OS.yaml - kinematic_coverage: [m_jj, sqrts, abs_eta_1, abs_eta_2] + kinematic_coverage: [m_jj, abs_eta_1, abs_eta_2] data_central: data_OS.yaml data_uncertainties: - uncertainties_OS.yaml @@ -66,16 +66,16 @@ implemented_observables: kinematics: variables: m_jj: { description: "dijet mass", label: "$m_{jj}$", units: "GeV" } - sqrts: - { - description: "center of mass energy", - label: r"$\sqrt(s)$", - units: "GeV", - } + # sqrts: + # { + # description: "center of mass energy", + # label: r"$\sqrt(s)$", + # units: "GeV", + # } abs_eta_1: { description: "abs eta jet", label: r"$|\eta_j|$", units: "" } abs_eta_2: { description: "abs eta jet", label: r"$|\eta_j|$", units: "" } file: kinematics_SS.yaml - kinematic_coverage: [m_jj, sqrts, abs_eta_1, abs_eta_2] + kinematic_coverage: [m_jj, abs_eta_1, abs_eta_2] data_central: data_SS.yaml data_uncertainties: - uncertainties_SS.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/filter.py b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/filter.py index 6cdbd85c9d..ff41a0d9e1 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/filter.py +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_1JET_510GEV/filter.py @@ -237,7 +237,7 @@ def write_2jet_data(df, topology, art_sys): "mid": float(df.loc[i, "mjj"]), "max": float(df.loc[i, "mjj_max"]), }, - "sqrts": {"min": None, "mid": float(df.loc[i, "sqrts"]), "max": None}, + # "sqrts": {"min": None, "mid": float(df.loc[i, "sqrts"]), "max": None}, "abs_eta_1": { "min": float(df.loc[i, "abs_eta1_min"]), "mid": float(df.loc[i, "abs_eta1"]), diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/kinematics_A.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/kinematics_A.yaml index 8fdbf6618e..50c243e4c3 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/kinematics_A.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/kinematics_A.yaml @@ -11,10 +11,6 @@ bins: max: 19.86 mid: 19.04 min: 18.22 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.9 mid: 0.6 @@ -27,10 +23,6 @@ bins: max: 22.58 mid: 21.62 min: 20.66 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.9 mid: 0.6 @@ -43,10 +35,6 @@ bins: max: 27.46 mid: 26.380000000000003 min: 25.3 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.9 mid: 0.6 @@ -59,10 +47,6 @@ bins: max: 33.46 mid: 32.3 min: 31.14 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.9 mid: 0.6 @@ -75,10 +59,6 @@ bins: max: 39.62 mid: 38.42 min: 37.22 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.9 mid: 0.6 @@ -91,10 +71,6 @@ bins: max: 46.66 mid: 45.18 min: 43.7 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.9 mid: 0.6 @@ -107,10 +83,6 @@ bins: max: 54.97 mid: 53.42 min: 51.87 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.9 mid: 0.6 @@ -123,10 +95,6 @@ bins: max: 65.32 mid: 63.52 min: 61.72 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.9 mid: 0.6 @@ -139,10 +107,6 @@ bins: max: 77.76 mid: 75.55000000000001 min: 73.34 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.9 mid: 0.6 @@ -155,7 +119,3 @@ bins: max: 91.5 mid: 89.12 min: 86.74 - sqrts: - max: null - mid: 510.0 - min: null diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/kinematics_B.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/kinematics_B.yaml index 822d45d812..1c66a3548a 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/kinematics_B.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/kinematics_B.yaml @@ -11,10 +11,6 @@ bins: max: 19.61 mid: 18.8 min: 17.99 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.3 mid: 0.15 @@ -27,10 +23,6 @@ bins: max: 22.74 mid: 21.8 min: 20.86 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.3 mid: 0.15 @@ -43,10 +35,6 @@ bins: max: 27.46 mid: 26.37 min: 25.28 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.3 mid: 0.15 @@ -59,10 +47,6 @@ bins: max: 33.31 mid: 32.24 min: 31.17 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.3 mid: 0.15 @@ -75,10 +59,6 @@ bins: max: 39.73 mid: 38.42 min: 37.11 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.3 mid: 0.15 @@ -91,10 +71,6 @@ bins: max: 47.24 mid: 45.83 min: 44.42 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.3 mid: 0.15 @@ -107,10 +83,6 @@ bins: max: 55.83 mid: 54.14 min: 52.45 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.3 mid: 0.15 @@ -123,10 +95,6 @@ bins: max: 66.0 mid: 64.17 min: 62.34 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.3 mid: 0.15 @@ -139,10 +107,6 @@ bins: max: 78.19 mid: 76.06 min: 73.93 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.3 mid: 0.15 @@ -155,10 +119,6 @@ bins: max: 92.29 mid: 89.81 min: 87.33 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.3 mid: 0.15 @@ -171,7 +131,3 @@ bins: max: 110.81 mid: 107.92 min: 105.03 - sqrts: - max: null - mid: 510.0 - min: null diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/kinematics_C.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/kinematics_C.yaml index f53d1d79c8..3ae84e0b49 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/kinematics_C.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/kinematics_C.yaml @@ -11,10 +11,6 @@ bins: max: 20.62 mid: 19.81 min: 19.0 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.3 mid: 0.15 @@ -27,10 +23,6 @@ bins: max: 23.13 mid: 22.01 min: 20.89 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.3 mid: 0.15 @@ -43,10 +35,6 @@ bins: max: 27.24 mid: 26.16 min: 25.08 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.3 mid: 0.15 @@ -59,10 +47,6 @@ bins: max: 33.89 mid: 32.7 min: 31.51 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.3 mid: 0.15 @@ -75,10 +59,6 @@ bins: max: 40.05 mid: 38.71 min: 37.37 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.3 mid: 0.15 @@ -91,10 +71,6 @@ bins: max: 47.37 mid: 46.01 min: 44.65 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.3 mid: 0.15 @@ -107,10 +83,6 @@ bins: max: 55.67 mid: 53.89 min: 52.11 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.3 mid: 0.15 @@ -123,10 +95,6 @@ bins: max: 66.49 mid: 64.75 min: 63.01 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.3 mid: 0.15 @@ -139,10 +107,6 @@ bins: max: 79.42 mid: 77.15 min: 74.88 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.3 mid: 0.15 @@ -155,7 +119,3 @@ bins: max: 93.72 mid: 91.14 min: 88.56 - sqrts: - max: null - mid: 510.0 - min: null diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/kinematics_D.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/kinematics_D.yaml index d37026f003..4a58097629 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/kinematics_D.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/kinematics_D.yaml @@ -11,10 +11,6 @@ bins: max: 22.68 mid: 20.54 min: 18.4 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.9 mid: 0.6 @@ -27,10 +23,6 @@ bins: max: 23.04 mid: 22.09 min: 21.14 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.9 mid: 0.6 @@ -43,10 +35,6 @@ bins: max: 27.29 mid: 26.31 min: 25.33 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.9 mid: 0.6 @@ -59,10 +47,6 @@ bins: max: 32.94 mid: 31.72 min: 30.5 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.9 mid: 0.6 @@ -75,10 +59,6 @@ bins: max: 39.79 mid: 38.48 min: 37.17 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.9 mid: 0.6 @@ -91,10 +71,6 @@ bins: max: 46.76 mid: 45.21 min: 43.66 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.9 mid: 0.6 @@ -107,10 +83,6 @@ bins: max: 55.84 mid: 54.150000000000006 min: 52.46 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.9 mid: 0.6 @@ -123,10 +95,6 @@ bins: max: 66.22 mid: 64.3 min: 62.38 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.9 mid: 0.6 @@ -139,10 +107,6 @@ bins: max: 78.81 mid: 76.66 min: 74.51 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.9 mid: 0.6 @@ -155,10 +119,6 @@ bins: max: 92.19 mid: 89.57 min: 86.95 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.9 mid: 0.6 @@ -171,7 +131,3 @@ bins: max: 109.83 mid: 106.86 min: 103.89 - sqrts: - max: null - mid: 510.0 - min: null diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/metadata.yaml index 1599129e76..c08e5f0256 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2012_2JET_510GEV/metadata.yaml @@ -29,16 +29,16 @@ implemented_observables: kinematics: variables: m_jj: { description: "dijet mass", label: "$m_{jj}$", units: "GeV" } - sqrts: - { - description: "center of mass energy", - label: r"$\sqrt(s)$", - units: "GeV", - } + # sqrts: + # { + # description: "center of mass energy", + # label: r"$\sqrt(s)$", + # units: "GeV", + # } abs_eta_1: { description: "abs eta jet", label: r"$|\eta_j|$", units: "" } abs_eta_2: { description: "abs eta jet", label: r"$|\eta_j|$", units: "" } file: kinematics_A.yaml - kinematic_coverage: [m_jj, sqrts, abs_eta_1, abs_eta_2] + kinematic_coverage: [m_jj, abs_eta_1, abs_eta_2] data_central: data_A.yaml data_uncertainties: - uncertainties_A.yaml @@ -66,16 +66,16 @@ implemented_observables: kinematics: variables: m_jj: { description: "dijet mass", label: "$m_{jj}$", units: "GeV" } - sqrts: - { - description: "center of mass energy", - label: r"$\sqrt(s)$", - units: "GeV", - } + # sqrts: + # { + # description: "center of mass energy", + # label: r"$\sqrt(s)$", + # units: "GeV", + # } abs_eta_1: { description: "abs eta jet", label: r"$|\eta_j|$", units: "" } abs_eta_2: { description: "abs eta jet", label: r"$|\eta_j|$", units: "" } file: kinematics_B.yaml - kinematic_coverage: [m_jj, sqrts, abs_eta_1, abs_eta_2] + kinematic_coverage: [m_jj, abs_eta_1, abs_eta_2] data_central: data_B.yaml data_uncertainties: - uncertainties_B.yaml @@ -103,16 +103,16 @@ implemented_observables: kinematics: variables: m_jj: { description: "dijet mass", label: "$m_{jj}$", units: "GeV" } - sqrts: - { - description: "center of mass energy", - label: r"$\sqrt(s)$", - units: "GeV", - } + # sqrts: + # { + # description: "center of mass energy", + # label: r"$\sqrt(s)$", + # units: "GeV", + # } abs_eta_1: { description: "abs eta jet", label: r"$|\eta_j|$", units: "" } abs_eta_2: { description: "abs eta jet", label: r"$|\eta_j|$", units: "" } file: kinematics_C.yaml - kinematic_coverage: [m_jj, sqrts, abs_eta_1, abs_eta_2] + kinematic_coverage: [m_jj, abs_eta_1, abs_eta_2] data_central: data_C.yaml data_uncertainties: - uncertainties_C.yaml @@ -140,16 +140,16 @@ implemented_observables: kinematics: variables: m_jj: { description: "dijet mass", label: "$m_{jj}$", units: "GeV" } - sqrts: - { - description: "center of mass energy", - label: r"$\sqrt(s)$", - units: "GeV", - } + # sqrts: + # { + # description: "center of mass energy", + # label: r"$\sqrt(s)$", + # units: "GeV", + # } abs_eta_1: { description: "abs eta jet", label: r"$|\eta_j|$", units: "" } abs_eta_2: { description: "abs eta jet", label: r"$|\eta_j|$", units: "" } file: kinematics_D.yaml - kinematic_coverage: [m_jj, sqrts, abs_eta_1, abs_eta_2] + kinematic_coverage: [m_jj, abs_eta_1, abs_eta_2] data_central: data_D.yaml data_uncertainties: - uncertainties_D.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/filter.py b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/filter.py index 767303d341..bd8c787d1e 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/filter.py +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_1JET_510GEV/filter.py @@ -218,7 +218,7 @@ def write_2jet_data(df, topology, art_sys): "mid": float(df.loc[i, "mjj"]), "max": float(df.loc[i, "mjj_max"]), }, - "sqrts": {"min": None, "mid": float(df.loc[i, "sqrts"]), "max": None}, + # "sqrts": {"min": None, "mid": float(df.loc[i, "sqrts"]), "max": None}, "abs_eta_1": { "min": float(df.loc[i, "abs_eta1_min"]), "mid": float(df.loc[i, "abs_eta1"]), diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/kinematics_A.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/kinematics_A.yaml index c9bf9779e0..d9f1292209 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/kinematics_A.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/kinematics_A.yaml @@ -11,10 +11,6 @@ bins: max: 17.16 mid: 15.74 min: 14.32 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.9 mid: 0.6 @@ -27,10 +23,6 @@ bins: max: 19.64 mid: 18.5 min: 17.36 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.9 mid: 0.6 @@ -43,10 +35,6 @@ bins: max: 22.91 mid: 21.96 min: 21.01 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.9 mid: 0.6 @@ -59,10 +47,6 @@ bins: max: 27.110000000000003 mid: 26.17 min: 25.23 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.9 mid: 0.6 @@ -75,10 +59,6 @@ bins: max: 32.67 mid: 31.63 min: 30.59 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.9 mid: 0.6 @@ -91,10 +71,6 @@ bins: max: 39.16 mid: 37.8 min: 36.44 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.9 mid: 0.6 @@ -107,10 +83,6 @@ bins: max: 46.1 mid: 44.75 min: 43.4 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.9 mid: 0.6 @@ -123,10 +95,6 @@ bins: max: 54.81 mid: 53.31 min: 51.81 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.9 mid: 0.6 @@ -139,10 +107,6 @@ bins: max: 65.37 mid: 63.64 min: 61.910000000000004 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.9 mid: 0.6 @@ -155,10 +119,6 @@ bins: max: 77.38 mid: 75.32 min: 73.25999999999999 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.9 mid: 0.6 @@ -171,10 +131,6 @@ bins: max: 92.17 mid: 89.66 min: 87.14999999999999 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.9 mid: 0.6 @@ -187,7 +143,3 @@ bins: max: 108.53 mid: 105.63 min: 102.72999999999999 - sqrts: - max: null - mid: 510.0 - min: null diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/kinematics_B.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/kinematics_B.yaml index 97c0332a04..d38da4d369 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/kinematics_B.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/kinematics_B.yaml @@ -11,10 +11,6 @@ bins: max: 16.96 mid: 15.49 min: 14.02 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.3 mid: 0.15 @@ -27,10 +23,6 @@ bins: max: 19.31 mid: 18.48 min: 17.650000000000002 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.3 mid: 0.15 @@ -43,10 +35,6 @@ bins: max: 23.08 mid: 22.33 min: 21.58 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.3 mid: 0.15 @@ -59,10 +47,6 @@ bins: max: 27.580000000000002 mid: 26.67 min: 25.76 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.3 mid: 0.15 @@ -75,10 +59,6 @@ bins: max: 33.15 mid: 32.16 min: 31.169999999999998 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.3 mid: 0.15 @@ -91,10 +71,6 @@ bins: max: 39.760000000000005 mid: 38.59 min: 37.42 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.3 mid: 0.15 @@ -107,10 +83,6 @@ bins: max: 47.06999999999999 mid: 45.66 min: 44.25 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.3 mid: 0.15 @@ -123,10 +95,6 @@ bins: max: 56.0 mid: 54.49 min: 52.980000000000004 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.3 mid: 0.15 @@ -139,10 +107,6 @@ bins: max: 66.77 mid: 65.02 min: 63.269999999999996 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.3 mid: 0.15 @@ -155,10 +119,6 @@ bins: max: 79.22999999999999 mid: 77.16 min: 75.09 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.3 mid: 0.15 @@ -171,10 +131,6 @@ bins: max: 93.89999999999999 mid: 91.33 min: 88.76 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.3 mid: 0.15 @@ -187,10 +143,6 @@ bins: max: 112.25 mid: 109.2 min: 106.15 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.3 mid: 0.15 @@ -203,7 +155,3 @@ bins: max: 133.2 mid: 129.75 min: 126.3 - sqrts: - max: null - mid: 510.0 - min: null diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/kinematics_C.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/kinematics_C.yaml index 7cc7d58977..c62299f9ff 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/kinematics_C.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/kinematics_C.yaml @@ -11,10 +11,6 @@ bins: max: 17.26 mid: 15.72 min: 14.18 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.3 mid: 0.15 @@ -27,10 +23,6 @@ bins: max: 19.889999999999997 mid: 18.9 min: 17.91 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.3 mid: 0.15 @@ -43,10 +35,6 @@ bins: max: 23.259999999999998 mid: 22.24 min: 21.22 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.3 mid: 0.15 @@ -59,10 +47,6 @@ bins: max: 28.12 mid: 27.14 min: 26.16 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.3 mid: 0.15 @@ -75,10 +59,6 @@ bins: max: 34.120000000000005 mid: 33.03 min: 31.94 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.3 mid: 0.15 @@ -91,10 +71,6 @@ bins: max: 40.78 mid: 39.35 min: 37.92 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.3 mid: 0.15 @@ -107,10 +83,6 @@ bins: max: 48.16 mid: 46.62 min: 45.08 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.3 mid: 0.15 @@ -123,10 +95,6 @@ bins: max: 57.45 mid: 55.74 min: 54.03 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.3 mid: 0.15 @@ -139,10 +107,6 @@ bins: max: 68.32000000000001 mid: 66.39 min: 64.46 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.3 mid: 0.15 @@ -155,10 +119,6 @@ bins: max: 81.23 mid: 78.97 min: 76.71 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.3 mid: 0.15 @@ -171,10 +131,6 @@ bins: max: 97.07 mid: 94.22 min: 91.37 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.3 mid: 0.15 @@ -187,7 +143,3 @@ bins: max: 114.7 mid: 111.48 min: 108.26 - sqrts: - max: null - mid: 510.0 - min: null diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/kinematics_D.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/kinematics_D.yaml index fce33b81ae..fed9c68a44 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/kinematics_D.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/kinematics_D.yaml @@ -11,10 +11,6 @@ bins: max: 19.349999999999998 mid: 18.2 min: 17.05 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.9 mid: 0.6 @@ -27,10 +23,6 @@ bins: max: 22.71 mid: 21.67 min: 20.630000000000003 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.9 mid: 0.6 @@ -43,10 +35,6 @@ bins: max: 27.16 mid: 26.12 min: 25.080000000000002 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.9 mid: 0.6 @@ -59,10 +47,6 @@ bins: max: 32.440000000000005 mid: 31.42 min: 30.400000000000002 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.9 mid: 0.6 @@ -75,10 +59,6 @@ bins: max: 38.58 mid: 37.33 min: 36.08 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.9 mid: 0.6 @@ -91,10 +71,6 @@ bins: max: 46.11 mid: 44.6 min: 43.09 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.9 mid: 0.6 @@ -107,10 +83,6 @@ bins: max: 55.3 mid: 53.61 min: 51.92 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.9 mid: 0.6 @@ -123,10 +95,6 @@ bins: max: 65.31 mid: 63.38 min: 61.45 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.9 mid: 0.6 @@ -139,10 +107,6 @@ bins: max: 77.78999999999999 mid: 75.52 min: 73.25 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.9 mid: 0.6 @@ -155,10 +119,6 @@ bins: max: 92.3 mid: 89.6 min: 86.89999999999999 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.9 mid: 0.6 @@ -171,10 +131,6 @@ bins: max: 109.83 mid: 106.63 min: 103.42999999999999 - sqrts: - max: null - mid: 510.0 - min: null - abs_eta_1: max: 0.9 mid: 0.6 @@ -187,7 +143,3 @@ bins: max: 130.99 mid: 127.17 min: 123.35000000000001 - sqrts: - max: null - mid: 510.0 - min: null diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/metadata.yaml index 90b0b54a9e..3381f9db6e 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2013_2JET_510GEV/metadata.yaml @@ -29,16 +29,16 @@ implemented_observables: kinematics: variables: m_jj: { description: "dijet mass", label: "$m_{jj}$", units: "GeV" } - sqrts: - { - description: "center of mass energy", - label: r"$\sqrt(s)$", - units: "GeV", - } + # sqrts: + # { + # description: "center of mass energy", + # label: r"$\sqrt(s)$", + # units: "GeV", + # } abs_eta_1: { description: "abs eta jet", label: r"$|\eta_j|$", units: "" } abs_eta_2: { description: "abs eta jet", label: r"$|\eta_j|$", units: "" } file: kinematics_A.yaml - kinematic_coverage: [m_jj, sqrts, abs_eta_1, abs_eta_2] + kinematic_coverage: [m_jj, abs_eta_1, abs_eta_2] data_central: data_A.yaml data_uncertainties: - uncertainties_A.yaml @@ -66,16 +66,16 @@ implemented_observables: kinematics: variables: m_jj: { description: "dijet mass", label: "$m_{jj}$", units: "GeV" } - sqrts: - { - description: "center of mass energy", - label: r"$\sqrt(s)$", - units: "GeV", - } + # sqrts: + # { + # description: "center of mass energy", + # label: r"$\sqrt(s)$", + # units: "GeV", + # } abs_eta_1: { description: "abs eta jet", label: r"$|\eta_j|$", units: "" } abs_eta_2: { description: "abs eta jet", label: r"$|\eta_j|$", units: "" } file: kinematics_B.yaml - kinematic_coverage: [m_jj, sqrts, abs_eta_1, abs_eta_2] + kinematic_coverage: [m_jj, abs_eta_1, abs_eta_2] data_central: data_B.yaml data_uncertainties: - uncertainties_B.yaml @@ -103,16 +103,16 @@ implemented_observables: kinematics: variables: m_jj: { description: "dijet mass", label: "$m_{jj}$", units: "GeV" } - sqrts: - { - description: "center of mass energy", - label: r"$\sqrt(s)$", - units: "GeV", - } + # sqrts: + # { + # description: "center of mass energy", + # label: r"$\sqrt(s)$", + # units: "GeV", + # } abs_eta_1: { description: "abs eta jet", label: r"$|\eta_j|$", units: "" } abs_eta_2: { description: "abs eta jet", label: r"$|\eta_j|$", units: "" } file: kinematics_C.yaml - kinematic_coverage: [m_jj, sqrts, abs_eta_1, abs_eta_2] + kinematic_coverage: [m_jj, abs_eta_1, abs_eta_2] data_central: data_C.yaml data_uncertainties: - uncertainties_C.yaml @@ -140,16 +140,16 @@ implemented_observables: kinematics: variables: m_jj: { description: "dijet mass", label: "$m_{jj}$", units: "GeV" } - sqrts: - { - description: "center of mass energy", - label: r"$\sqrt(s)$", - units: "GeV", - } + # sqrts: + # { + # description: "center of mass energy", + # label: r"$\sqrt(s)$", + # units: "GeV", + # } abs_eta_1: { description: "abs eta jet", label: r"$|\eta_j|$", units: "" } abs_eta_2: { description: "abs eta jet", label: r"$|\eta_j|$", units: "" } file: kinematics_D.yaml - kinematic_coverage: [m_jj, sqrts, abs_eta_1, abs_eta_2] + kinematic_coverage: [m_jj, abs_eta_1, abs_eta_2] data_central: data_D.yaml data_uncertainties: - uncertainties_D.yaml diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/filter.py b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/filter.py index 2f812d9ae3..bf90362675 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/filter.py +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_1JET_200GEV/filter.py @@ -243,7 +243,7 @@ def write_2jet_data(df, topology, art_sys): "mid": float(df.loc[i, "mjj"]), "max": float(df.loc[i, "mjj_max"]), }, - "sqrts": {"min": None, "mid": float(df.loc[i, "sqrts"]), "max": None}, + # "sqrts": {"min": None, "mid": float(df.loc[i, "sqrts"]), "max": None}, "abs_eta_1": { "min": float(df.loc[i, "abs_eta_min"]), "mid": float(df.loc[i, "abs_eta"]), diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/kinematics_OS.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/kinematics_OS.yaml index b23acc1713..4e30f535e0 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/kinematics_OS.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/kinematics_OS.yaml @@ -11,10 +11,6 @@ bins: max: 21.1 mid: 20.48 min: 19.86 - sqrts: - max: null - mid: 200.0 - min: null - abs_eta_1: max: 0.8 mid: 0.4 @@ -27,10 +23,6 @@ bins: max: 24.24 mid: 23.65 min: 23.06 - sqrts: - max: null - mid: 200.0 - min: null - abs_eta_1: max: 0.8 mid: 0.4 @@ -43,10 +35,6 @@ bins: max: 29.19 mid: 28.5 min: 27.81 - sqrts: - max: null - mid: 200.0 - min: null - abs_eta_1: max: 0.8 mid: 0.4 @@ -59,10 +47,6 @@ bins: max: 35.17 mid: 34.38 min: 33.59 - sqrts: - max: null - mid: 200.0 - min: null - abs_eta_1: max: 0.8 mid: 0.4 @@ -75,10 +59,6 @@ bins: max: 42.300000000000004 mid: 41.38 min: 40.46 - sqrts: - max: null - mid: 200.0 - min: null - abs_eta_1: max: 0.8 mid: 0.4 @@ -91,10 +71,6 @@ bins: max: 52.33 mid: 51.25 min: 50.17 - sqrts: - max: null - mid: 200.0 - min: null - abs_eta_1: max: 0.8 mid: 0.4 @@ -107,7 +83,3 @@ bins: max: 71.27 mid: 69.96 min: 68.64999999999999 - sqrts: - max: null - mid: 200.0 - min: null diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/kinematics_SS.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/kinematics_SS.yaml index 5eda6b0240..c185447fb1 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/kinematics_SS.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/kinematics_SS.yaml @@ -11,10 +11,6 @@ bins: max: 20.82 mid: 20.29 min: 19.759999999999998 - sqrts: - max: null - mid: 200.0 - min: null - abs_eta_1: max: 0.8 mid: 0.4 @@ -27,10 +23,6 @@ bins: max: 24.11 mid: 23.5 min: 22.89 - sqrts: - max: null - mid: 200.0 - min: null - abs_eta_1: max: 0.8 mid: 0.4 @@ -43,10 +35,6 @@ bins: max: 28.94 mid: 28.28 min: 27.62 - sqrts: - max: null - mid: 200.0 - min: null - abs_eta_1: max: 0.8 mid: 0.4 @@ -59,10 +47,6 @@ bins: max: 34.93 mid: 34.15 min: 33.37 - sqrts: - max: null - mid: 200.0 - min: null - abs_eta_1: max: 0.8 mid: 0.4 @@ -75,10 +59,6 @@ bins: max: 41.85 mid: 40.96 min: 40.07 - sqrts: - max: null - mid: 200.0 - min: null - abs_eta_1: max: 0.8 mid: 0.4 @@ -91,10 +71,6 @@ bins: max: 51.78 mid: 50.75 min: 49.72 - sqrts: - max: null - mid: 200.0 - min: null - abs_eta_1: max: 0.8 mid: 0.4 @@ -107,7 +83,3 @@ bins: max: 70.42 mid: 69.11 min: 67.8 - sqrts: - max: null - mid: 200.0 - min: null diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/metadata.yaml index 06457ba09c..e4f8afa66d 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/metadata.yaml @@ -29,16 +29,16 @@ implemented_observables: kinematics: variables: m_jj: { description: "dijet mass", label: "$m_{jj}$", units: "GeV" } - sqrts: - { - description: "center of mass energy", - label: r"$\sqrt(s)$", - units: "GeV", - } + # sqrts: + # { + # description: "center of mass energy", + # label: r"$\sqrt(s)$", + # units: "GeV", + # } abs_eta_1: { description: "abs eta jet", label: r"$|\eta_j|$", units: "" } abs_eta_2: { description: "abs eta jet", label: r"$|\eta_j|$", units: "" } file: kinematics_OS.yaml - kinematic_coverage: [m_jj, sqrts, abs_eta_1, abs_eta_2] + kinematic_coverage: [m_jj, abs_eta_1, abs_eta_2] data_central: data_OS.yaml data_uncertainties: - uncertainties_OS.yaml @@ -66,16 +66,16 @@ implemented_observables: kinematics: variables: m_jj: { description: "dijet mass", label: "$m_{jj}$", units: "GeV" } - sqrts: - { - description: "center of mass energy", - label: r"$\sqrt(s)$", - units: "GeV", - } + # sqrts: + # { + # description: "center of mass energy", + # label: r"$\sqrt(s)$", + # units: "GeV", + # } abs_eta_1: { description: "abs eta jet", label: r"$|\eta_j|$", units: "" } abs_eta_2: { description: "abs eta jet", label: r"$|\eta_j|$", units: "" } file: kinematics_SS.yaml - kinematic_coverage: [m_jj, sqrts, abs_eta_1, abs_eta_2] + kinematic_coverage: [m_jj, abs_eta_1, abs_eta_2] data_central: data_SS.yaml data_uncertainties: - uncertainties_SS.yaml From 2c1feb4aa55313bcee92c7ce32946a4701335156 Mon Sep 17 00:00:00 2001 From: giacomomagni Date: Tue, 16 Jul 2024 00:32:41 +0200 Subject: [PATCH 68/70] minor fixes --- validphys2/src/validphys/commondataparser.py | 6 +++--- validphys2/src/validphys/filters.py | 2 +- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/validphys2/src/validphys/commondataparser.py b/validphys2/src/validphys/commondataparser.py index f24558dda6..3fb3d3f22d 100644 --- a/validphys2/src/validphys/commondataparser.py +++ b/validphys2/src/validphys/commondataparser.py @@ -110,7 +110,7 @@ def _quick_yaml_load(filepath): "PHT": ("$\\eta_\\gamma$", "$E_{T,\\gamma}^2 (GeV^2)$", "$\\sqrt{s} (GeV)$"), "SIA": ("$z$", "$Q^2 (GeV^2)$", "$y$"), "JET_POL": ("$\\eta$", "$p_T^2 (GeV^2)$", "$\\sqrt{s} (GeV)$"), - "DIJET_POL": ("\\eta", "$\\m_{1,2} (GeV)", "$\\sqrt{s} (GeV)"), + "DIJET_POL": ("$\\m_{1,2} (GeV)", "$\\eta_1$", "$\\eta_2$"), } PROCESS_DESCRIPTION_LABEL = { @@ -135,8 +135,8 @@ def _quick_yaml_load(filepath): "EWK_MLL": "Drell-Yan Mass Distribution", "DIJET": "Dijets Invariant Mass and Rapidity Distribution", "DYP": "Fixed-Target Drell-Yan", - "JET_POL": "Longitudinal double-spin asymmetry", - "DIJET_POL": "Longitudinal double-spin asymmetry", + "JET_POL": "Inclusive Jet longitudinal double-spin asymmetry", + "DIJET_POL": "Dijets longitudinal double-spin asymmetry", } diff --git a/validphys2/src/validphys/filters.py b/validphys2/src/validphys/filters.py index 31971bc0b0..5a9a73e470 100644 --- a/validphys2/src/validphys/filters.py +++ b/validphys2/src/validphys/filters.py @@ -46,7 +46,7 @@ "HIG_RAP": ("y", "M_H2", "sqrts"), "SIA": ("z", "Q2", "y"), "JET_POL": ("eta", "pT2", "sqrts"), - "DIJET_POL": ("eta", "m_12", "sqrts"), + "DIJET_POL": ("m_12", "eta_1", "eta_2"), } From a7d8d54f7bbcb2bbb82c8e39cb8b6283b4b39706 Mon Sep 17 00:00:00 2001 From: giacomomagni Date: Tue, 16 Jul 2024 09:22:33 +0200 Subject: [PATCH 69/70] minor fix on plot labels --- .../new_commondata/STAR_2009_2JET_MIDRAP_200GEV/metadata.yaml | 4 ++-- .../new_commondata/STAR_2015_2JET_MIDRAP_200GEV/metadata.yaml | 4 ++-- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/metadata.yaml index 25437191bd..865ad92581 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/metadata.yaml @@ -43,7 +43,7 @@ implemented_observables: data_uncertainties: - uncertainties_OS.yaml plotting: - dataset_label: "STAR 200 GeV (2009) DIJET $A_{LL}$, OS" + dataset_label: "STAR 200 GeV (2009) DIJET $A_{LL}$, opposite sign $\eta$ topology" kinematics_override: identity plot_x: m_jj x_scale: log @@ -80,7 +80,7 @@ implemented_observables: data_uncertainties: - uncertainties_SS.yaml plotting: - dataset_label: "STAR 200 GeV (2009) DIJET $A_{LL}$, SS" + dataset_label: "STAR 200 GeV (2009) DIJET $A_{LL}$, same sign $\eta$ topology" kinematics_override: identity plot_x: m_jj x_scale: log diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/metadata.yaml index e4f8afa66d..fb0242253b 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/metadata.yaml @@ -43,7 +43,7 @@ implemented_observables: data_uncertainties: - uncertainties_OS.yaml plotting: - dataset_label: r"STAR 200 GeV (2015) DIJET $A_{LL}$, opposite sign $\eta$ topology" + dataset_label: "STAR 200 GeV (2015) DIJET $A_{LL}$, opposite sign $\eta$ topology" kinematics_override: identity plot_x: m_jj x_scale: log @@ -80,7 +80,7 @@ implemented_observables: data_uncertainties: - uncertainties_SS.yaml plotting: - dataset_label: r"STAR 200 GeV (2015) DIJET $A_{LL}$, same sign $\eta$ topology" + dataset_label: "STAR 200 GeV (2015) DIJET $A_{LL}$, same sign $\eta$ topology" kinematics_override: identity plot_x: m_jj x_scale: log From 9925e4d8deebd1497d018a401a685506a56d41c7 Mon Sep 17 00:00:00 2001 From: Giacomo Magni Date: Tue, 16 Jul 2024 10:59:39 +0200 Subject: [PATCH 70/70] another attempt on plot labels, now working --- .../STAR_2009_2JET_MIDRAP_200GEV/metadata.yaml | 8 ++++---- .../STAR_2015_2JET_MIDRAP_200GEV/metadata.yaml | 8 ++++---- 2 files changed, 8 insertions(+), 8 deletions(-) diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/metadata.yaml index 865ad92581..951800568a 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2009_2JET_MIDRAP_200GEV/metadata.yaml @@ -18,7 +18,7 @@ version_comment: "Initial implementation" implemented_observables: - observable: { - description: "ALL as function of $M_{inv}$, OS", + description: 'ALL as function of $M_{inv}$, opposite sign $\eta$ topology', label: "$A_{LL}$", units: "", } @@ -43,7 +43,7 @@ implemented_observables: data_uncertainties: - uncertainties_OS.yaml plotting: - dataset_label: "STAR 200 GeV (2009) DIJET $A_{LL}$, opposite sign $\eta$ topology" + dataset_label: 'STAR 200 GeV (2009) DIJET $A_{LL}$, opposite sign $\eta$ topology' kinematics_override: identity plot_x: m_jj x_scale: log @@ -55,7 +55,7 @@ implemented_observables: operation: "ratio" - observable: { - description: "ALL as function of $M_{inv}$, SS", + description: 'ALL as function of $M_{inv}$, same sign $\eta$ topology', label: "$A_{LL}$", units: "", } @@ -80,7 +80,7 @@ implemented_observables: data_uncertainties: - uncertainties_SS.yaml plotting: - dataset_label: "STAR 200 GeV (2009) DIJET $A_{LL}$, same sign $\eta$ topology" + dataset_label: 'STAR 200 GeV (2009) DIJET $A_{LL}$, same sign $\eta$ topology' kinematics_override: identity plot_x: m_jj x_scale: log diff --git a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/metadata.yaml b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/metadata.yaml index fb0242253b..8457a92e91 100644 --- a/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/metadata.yaml +++ b/nnpdf_data/nnpdf_data/new_commondata/STAR_2015_2JET_MIDRAP_200GEV/metadata.yaml @@ -18,7 +18,7 @@ version_comment: "Initial implementation" implemented_observables: - observable: { - description: "ALL as function of $M_{inv}$, opposite sign $\eta$ topology", + description: 'ALL as function of $M_{inv}$, opposite sign $\eta$ topology', label: "$A_{LL}$", units: "", } @@ -43,7 +43,7 @@ implemented_observables: data_uncertainties: - uncertainties_OS.yaml plotting: - dataset_label: "STAR 200 GeV (2015) DIJET $A_{LL}$, opposite sign $\eta$ topology" + dataset_label: 'STAR 200 GeV (2015) DIJET $A_{LL}$, opposite sign $\eta$ topology' kinematics_override: identity plot_x: m_jj x_scale: log @@ -55,7 +55,7 @@ implemented_observables: operation: "ratio" - observable: { - description: "ALL as function of $M_{inv}$, same sign $\eta$ topology", + description: 'ALL as function of $M_{inv}$, same sign $\eta$ topology', label: "$A_{LL}$", units: "", } @@ -80,7 +80,7 @@ implemented_observables: data_uncertainties: - uncertainties_SS.yaml plotting: - dataset_label: "STAR 200 GeV (2015) DIJET $A_{LL}$, same sign $\eta$ topology" + dataset_label: 'STAR 200 GeV (2015) DIJET $A_{LL}$, same sign $\eta$ topology' kinematics_override: identity plot_x: m_jj x_scale: log