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subjet3.py
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subjet3.py
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from ROOT import TFile,TH1F,THStack,TCanvas,TLegend,TLatex,gROOT,kRed,kBlue,kGreen,kGray,kBlack,kOrange,gStyle,kTRUE,kFALSE,TLine,TF1,TGraphAsymmErrors,kWhite,kMagenta,kAzure,TPaveText
from math import atan,sqrt
from copy import deepcopy
from array import array
from sys import argv
import sys
#setup
print 'setup'
gROOT.SetBatch()
gStyle.SetOptStat('ioue')
gStyle.SetNumberContours(255)
gStyle.SetPalette(55)
print len(argv[1:])
appendix=''
if len(argv[1:])>0:
appendix='_'+argv[1]
files_path = "/nfs/dust/cms/user/usaiem/ZprimeFullHad/"
#if len(argv[1:])==2:
#files_path = "/scratch/hh/dust/naf/cms/user/usai/ZprimeFullHad"+appendix+"/"
#files_path = "/scratch/hh/dust/naf/cms/user/usai/heptoptagval/"
#if len(argv[1:])==2:
#files_path = "/scratch/hh/dust/naf/cms/user/usai/heptoptagval"+appendix+"/"
file_out_name = "heptoptagvalhistos"+appendix+".root"
files_name_base = "SemileptonicHepTopTagValSelCycle"
process_names_mc = []
subprocess_names_mc = []
#QCD
#process_names_mc.append('QCD')
#subprocess_names_mc.append(["MC.QCD1000","MC.QCD120to170","MC.QCD170to300","MC.QCD300to470","MC.QCD470to600","MC.QCD50to80","MC.QCD600to800","MC.QCD800to1000","MC.QCD80to120"])
#WW,WZ,ZZ
#process_names_mc.append('WW,WZ,ZZ')
#subprocess_names_mc.append(["MC.doubleWW","MC.doubleWZ","MC.doubleZZ"])
#single-Top
process_names_mc.append('Singletop')
subprocess_names_mc.append(["MC.singleTbars","MC.singleTbart","MC.singleTbartW","MC.singleTs","MC.singleTt","MC.singleTtW"])
#Z+Jets
process_names_mc.append('Z+Jets')
subprocess_names_mc.append(["MC.ZJets1","MC.ZJets2","MC.ZJets3","MC.ZJets4"])
#W+Jets
process_names_mc.append('W+Jets')
subprocess_names_mc.append(["MC.WJets1","MC.WJets2","MC.WJets3","MC.WJets4"])
#if len(argv[1:])==1:
##TTbarNotSemi
#process_names_mc.append('TTbarNotSemi')
#subprocess_names_mc.append(["MC.TTbarNotSemi"+appendix])
##TTbarsemi
#process_names_mc.append('TTbarsemi')
#subprocess_names_mc.append(['MC.TTbarSemi'+appendix])#"MC.TTbarsemi"])
#else:
#TTbarlept
process_names_mc.append('Fully-Leptonic t#bar{t}')
subprocess_names_mc.append(["MC.TTbarlept"+appendix])
#TTbarhad
#process_names_mc.append('TTbarhad')
#subprocess_names_mc.append(["MC.TTbarhad"])
#TTbarsemi
process_names_mc.append('Semi-Leptonic t#bar{t}')
subprocess_names_mc.append(["MC.TTbarsemi"+appendix])
total_subprocess_names_mc=[]
for i in range(len(process_names_mc)):
for j in range(len(subprocess_names_mc[i])):
total_subprocess_names_mc.append(subprocess_names_mc[i][j])
#if len(argv[1:])==1:
#process_names_signal='Semi-Leptonic t#bar{t}'
#process_names_background=['WW,WZ,ZZ','Singletop','Z+Jets','W+Jets','TTbarNotSemi']#,'TTbarlept','TTbarhad']#'QCD',
#process_names_ttbar=['Semi-Leptonic t#bar{t}','TTbarNotSemi']#,'TTbarlept','TTbarhad']
#process_names_ttbarbkg=['TTbarNotSemi']#'TTbarlept','TTbarhad']
#process_names_bkgnottbar=['WW,WZ,ZZ','Singletop','Z+Jets','W+Jets']#'QCD',
#else:
process_names_signal='Semi-Leptonic t#bar{t}'
process_names_background=['Singletop','Z+Jets','W+Jets','Fully-Leptonic t#bar{t}']#'QCD','WW,WZ,ZZ',,'TTbarhad'
process_names_ttbar=['Semi-Leptonic t#bar{t}','Fully-Leptonic t#bar{t}']#,'TTbarhad']
process_names_ttbarbkg=['Fully-Leptonic t#bar{t}']#,'TTbarhad']
process_names_bkgnottbar=['Singletop','Z+Jets','W+Jets']#'QCD','WW,WZ,ZZ',
process_name_data = 'data'
subprocess_name_data = "DATA.DATA"
#process_colors = [2,3,4,5,6,7,8,9]
#process_colors = [3,4,5,6,7,8,9]
process_colors = [kMagenta,kAzure-2,kGreen-3,kRed-7,kRed+1]
#if len(argv[1:])==1:
#process_colors = [3,4,5,6,7,9]
histogram_names = []
histogram_descriptions = []
histogram_yaxes = []
histogram_xaxes = []
#N_topjets
histogram_names.append('N_topjets')
histogram_descriptions.append('N^{jets}')
histogram_yaxes.append('Events')
histogram_xaxes.append('N^{jets}')
#N_mu
histogram_names.append('N_mu')
histogram_descriptions.append('N^{muons}')
histogram_yaxes.append('Events')
histogram_xaxes.append('N^{muons}')
#N_pv
histogram_names.append('N_pv')
histogram_descriptions.append('N^{PV}')
histogram_yaxes.append('Events')
histogram_xaxes.append('N^{PV}')
#N_pv
histogram_names.append('N_pv200')
histogram_descriptions.append('N^{PV}')
histogram_yaxes.append('Events')
histogram_xaxes.append('N^{PV}')
#N_pv
histogram_names.append('N_pv300')
histogram_descriptions.append('N^{PV}')
histogram_yaxes.append('Events')
histogram_xaxes.append('N^{PV}')
#N_pv
histogram_names.append('N_pv400')
histogram_descriptions.append('N^{PV}')
histogram_yaxes.append('Events')
histogram_xaxes.append('N^{PV}')
#N_pv
histogram_names.append('N_pv500')
histogram_descriptions.append('N^{PV}')
histogram_yaxes.append('Events')
histogram_xaxes.append('N^{PV}')
#N_pv
histogram_names.append('N_pv600')
histogram_descriptions.append('N^{PV}')
histogram_yaxes.append('Events')
histogram_xaxes.append('N^{PV}')
#N_events_perLumiBin
histogram_names.append('N_events_perLumiBin')
histogram_descriptions.append('N^{evt}')
histogram_yaxes.append('Events')
histogram_xaxes.append('N^{evt}')
#N_pv_perLumiBin
histogram_names.append('N_pv_perLumiBin')
histogram_descriptions.append('N^{PV}')
histogram_yaxes.append('Events')
histogram_xaxes.append('N^{PV}')
#DR_Mub
histogram_names.append('DR_Mub')
histogram_descriptions.append('DR muon-b')
histogram_yaxes.append('Events')
histogram_xaxes.append('DR muon-b')
#DPhi_Mub
histogram_names.append('DPhi_Mub')
histogram_descriptions.append('DPhi muon-b')
histogram_yaxes.append('Events')
histogram_xaxes.append('DPhi muon-b')
#DR_Mutop
histogram_names.append('DR_Mutop')
histogram_descriptions.append('DR muon-top')
histogram_yaxes.append('Events')
histogram_xaxes.append('DR muon-top')
#DPhi_Mutop
histogram_names.append('DPhi_Mutop')
histogram_descriptions.append('DPhi muon-top')
histogram_yaxes.append('Events')
histogram_xaxes.append('DPhi muon-top')
#DR_btop
histogram_names.append('DR_btop')
histogram_descriptions.append('DR b-top')
histogram_yaxes.append('Events')
histogram_xaxes.append('DR b-top')
#DPhi_btop
histogram_names.append('DPhi_btop')
histogram_descriptions.append('DPhi b-top')
histogram_yaxes.append('Events')
histogram_xaxes.append('DPhi b-top')
#MassTop
histogram_names.append('MassTop')
histogram_descriptions.append('Top jet mass (GeV)')
histogram_yaxes.append('Events')
histogram_xaxes.append('Top jet mass (GeV)')
#Pt_b_sub
histogram_names.append('Pt_b_sub')
histogram_descriptions.append('Pt b-subjet (GeV)')
histogram_yaxes.append('Events')
histogram_xaxes.append('Pt b-subjet (GeV)')
#Pt_nonb_sub
histogram_names.append('Pt_nonb_sub')
histogram_descriptions.append('Pt non-b-subjet (GeV)')
histogram_yaxes.append('Events')
histogram_xaxes.append('Pt non-b-subjet (GeV)')
#Pt_tagged_sub
histogram_names.append('Pt_tagged_sub')
histogram_descriptions.append('Pt non-b-subjet (GeV)')
histogram_yaxes.append('Events')
histogram_xaxes.append('Pt non-b-subjet (GeV)')
#Pt_all_sub
histogram_names.append('Pt_all_sub')
histogram_descriptions.append('Pt all subjets (GeV)')
histogram_yaxes.append('Events')
histogram_xaxes.append('Pt all subjets (GeV)')
#Pt_all_sub_nobin
histogram_names.append('Pt_all_sub_nobin')
histogram_descriptions.append('Pt all subjets (GeV)')
histogram_yaxes.append('Events')
histogram_xaxes.append('Pt all subjets (GeV)')
#Toppt
histogram_names.append('Toppt')
histogram_descriptions.append('Pt top-jet (GeV)')
histogram_yaxes.append('Events')
histogram_xaxes.append('Pt top-jet (GeV)')
#Toppt_2
histogram_names.append('Toppt_2')
histogram_descriptions.append('Pt top-jet (GeV)')
histogram_yaxes.append('Events')
histogram_xaxes.append('Pt top-jet (GeV)')
#m01
histogram_names.append('m01')
histogram_descriptions.append('Inv mass of subjets 0+1 (GeV)')
histogram_yaxes.append('Events')
histogram_xaxes.append('m_{12} (GeV)')
#m02
histogram_names.append('m02')
histogram_descriptions.append('Inv mass of subjets 0+2 (GeV)')
histogram_yaxes.append('Events')
histogram_xaxes.append('m_{13} (GeV)')
#m12
histogram_names.append('m12')
histogram_descriptions.append('Inv mass of subjets 1+2 (GeV)')
histogram_yaxes.append('Events')
histogram_xaxes.append('m_{23} (GeV)')
#mW
histogram_names.append('mW')
histogram_descriptions.append('Inv mass of W (GeV)')
histogram_yaxes.append('Events')
histogram_xaxes.append('Inv mass of W (GeV)')
#m012
histogram_names.append('m012')
histogram_descriptions.append('Inv mass of subjets 0+1+2 (GeV)')
histogram_yaxes.append('Events')
histogram_xaxes.append('Inv mass of subjets 0+1+2 (GeV)')
#mMuB
histogram_names.append('mMuB')
histogram_descriptions.append('Inv mass Mu + Btagged jet (GeV)')
histogram_yaxes.append('Events')
histogram_xaxes.append('Inv mass Mu + Btagged jet (GeV)')
#dRMuB
histogram_names.append('dRMuB')
histogram_descriptions.append('DeltaR Mu Btagged jet')
histogram_yaxes.append('Events')
histogram_xaxes.append('DeltaR Mu Btagged jet')
#Nevts
histogram_names.append('Nevts')
histogram_descriptions.append('Number of events passed')
histogram_yaxes.append('Events')
histogram_xaxes.append('Passed')
#EventCount
histogram_names.append('EventCount')
histogram_descriptions.append('EventCount')
histogram_yaxes.append('Events')
histogram_xaxes.append('')
#ptSFcount
histogram_names.append('ptSFcount')
histogram_descriptions.append('ptSFcount')
histogram_yaxes.append('Events')
histogram_xaxes.append('pT [GeV]')
#var1_HTT
histogram_names.append('var1_HTT')
histogram_descriptions.append('')
histogram_xaxes.append('atan(m_{13}/m_{12})')
histogram_yaxes.append('Events')
#var2_HTT
histogram_names.append('var2_HTT')
histogram_descriptions.append('')
histogram_xaxes.append('m_{23}/m_{123}')
histogram_yaxes.append('Events')
#var3_HTT
histogram_names.append('var3_HTT')
histogram_descriptions.append('')
histogram_xaxes.append('m_{W} [GeV]')
histogram_yaxes.append('Events')
#HTT2D
histogram_names.append('HTT2D')
histogram_descriptions.append('HTT2D')
histogram_yaxes.append('atan( m_{13} / m_{12} )')
histogram_xaxes.append('m_{23}/m_{123}')
#dRsubjet
histogram_names.append('dRsubjet')
histogram_descriptions.append('dRsubjet')
histogram_yaxes.append('DeltaR(subjets)')
histogram_xaxes.append('Events')
#dRsubjet
histogram_names.append('LeptToppt')
histogram_descriptions.append('LeptToppt')
histogram_yaxes.append('Pt leptonic top (GeV)')
histogram_xaxes.append('Events')
cut_names = ["nocutshists","nleptbtagshists","probeselehists","htcuthists","etmisshists","njetshists","masswindowhists","heptoptag_masscut_hists","heptoptag_masscut_nsub_hists","NOheptoptag_NOmasscut_hists","NOheptoptag_masscut_hists","heptoptag_NOmasscut_hists","heptoptag_NOmasscut__NOheptoptag_masscut_hists","pt200hists","pt250hists","pt300hists","pt350hists","pt400hists","ptlowhists","before_tpr_hists","after_tpr_hists","heptoptag_masscut_hists_notpr","NOheptoptag_NOmasscut_hists_notpr","eta0p5","eta1p0","eta2p4","eta0p5to1p0","eta1p0to2p4","eta0p5_HTT","eta1p0_HTT","eta1p0_HTT_nsub","eta2p4_HTT","eta0p5to1p0_HTT","eta1p0to2p4_HTT","eta1p0to2p4_HTT_nsub","eta1p0_400","eta1p0to2p4_400","pt300histshtt","pt400histshtt","cutflow_mass_eta1p0","cutflow_mass_eta1p0to2p4","cutflow_mass_htt_eta1p0","cutflow_mass_htt_eta1p0to2p4","cutflow_mass_htt_nsub_eta1p0","cutflow_mass_htt_nsub_eta1p0to2p4"]
#,"eta1p0","eta1p0_HTT"]"mcmatch_NOhtt","NOmcmatch_NOhtt","mcmatch_htt","NOmcmatch_htt","mcmatch_NOhtt_pt","NOmcmatch_NOhtt_pt","mcmatch_htt_pt","NOmcmatch_htt_pt","pt300histshtt","pt400histshtt",
nevts_index=histogram_names.index('Nevts')
ptSFcount_index=histogram_names.index('ptSFcount')
pt_index=histogram_names.index('Toppt')
pt2_index=histogram_names.index('Toppt_2')
htt2d_index=histogram_names.index('HTT2D')
toppt_index=histogram_names.index('Toppt')
topmass_index=histogram_names.index('MassTop')
index_nn=cut_names.index("NOheptoptag_NOmasscut_hists")
index_yy=cut_names.index("heptoptag_masscut_hists")
index_nn_notpr=cut_names.index("NOheptoptag_NOmasscut_hists_notpr")
index_yy_notpr=cut_names.index("heptoptag_masscut_hists_notpr")
index_ny=cut_names.index("NOheptoptag_masscut_hists")
index_yn=cut_names.index("heptoptag_NOmasscut_hists")
index_yn_ny=cut_names.index("heptoptag_NOmasscut__NOheptoptag_masscut_hists")
#index_matched=cut_names.index("mcmatch_NOhtt")
#index_unmatched=cut_names.index("NOmcmatch_NOhtt")
#index_matched_htt=cut_names.index("mcmatch_htt")
#index_unmatched_htt=cut_names.index("NOmcmatch_htt")
#index_matched_pt=cut_names.index("mcmatch_NOhtt_pt")
#index_unmatched_pt=cut_names.index("NOmcmatch_NOhtt_pt")
#index_matched_htt_pt=cut_names.index("mcmatch_htt_pt")
#index_unmatched_htt_pt=cut_names.index("NOmcmatch_htt_pt")
def scalefactor(data,mc,signal,dmb,title):
SFbin_DoverD=data[ptSFcount_index][index_yy].Clone('SFbin_DoverD'+title)
SFbin_DoverD.Divide(data[ptSFcount_index][index_yy],data[ptSFcount_index][index_nn],1,1,'B')
SFbin_MCoverMC=mc[ptSFcount_index][index_yy].Clone('SFbin_MCoverMC'+title)
SFbin_MCoverMC.Divide(mc[ptSFcount_index][index_yy],mc[ptSFcount_index][index_nn],1,1,'B')
SFbin_DmBoverDmB=dmb[ptSFcount_index][index_yy].Clone('SFbin_DmBoverDmB'+title)
SFbin_DmBoverDmB.Divide(dmb[ptSFcount_index][index_yy],dmb[ptSFcount_index][index_nn],1,1,'B')
SFbin_SoverS=signal[ptSFcount_index][index_yy].Clone('SFbin_SoverS'+title)
SFbin_SoverS.Divide(signal[ptSFcount_index][index_yy],signal[ptSFcount_index][index_nn],1,1,'B')
SFbin=SFbin_DoverD.Clone('SFbin'+title)
SFbin.Divide(SFbin_MCoverMC)
SFbin_NoBkg=SFbin_DmBoverDmB.Clone('SFbin_NoBkg'+title)
SFbin_NoBkg.Divide(SFbin_SoverS)
return [SFbin_DoverD,SFbin_MCoverMC,SFbin_DmBoverDmB,SFbin_SoverS,SFbin,SFbin_NoBkg]
def scalefactor2(data,mc,signal,dmb,title):
SFbin_DoverD=data[0].Clone('SFbin_DoverD'+title)
SFbin_DoverD.Divide(data[0],data[1],1,1,'B')
SFbin_MCoverMC=mc[0].Clone('SFbin_MCoverMC'+title)
SFbin_MCoverMC.Divide(mc[0],mc[1],1,1,'B')
SFbin_DmBoverDmB=dmb[0].Clone('SFbin_DmBoverDmB'+title)
SFbin_DmBoverDmB.Divide(dmb[0],dmb[1],1,1,'B')
SFbin_SoverS=signal[0].Clone('SFbin_SoverS'+title)
SFbin_SoverS.Divide(signal[0],signal[1],1,1,'B')
SFbin=SFbin_DoverD.Clone('SFbin'+title)
SFbin.Divide(SFbin_MCoverMC)
SFbin_NoBkg=SFbin_DmBoverDmB.Clone('SFbin_NoBkg'+title)
SFbin_NoBkg.Divide(SFbin_SoverS)
return [SFbin_DoverD,SFbin_MCoverMC,SFbin_DmBoverDmB,SFbin_SoverS,SFbin,SFbin_NoBkg]
def getadded(mc_sf_list,data_sf_list,title):
#add mc
allmc=[mc_sf_list[0][0].Clone('all_mc_yy_'+title),mc_sf_list[0][1].Clone('all_mc_nn_'+title)]
for process_name_index in range(1,len(process_names_mc)):
allmc[0].Add(mc_sf_list[process_name_index][0])
allmc[1].Add(mc_sf_list[process_name_index][1])
#add background
allbkg=[mc_sf_list[process_names_mc.index(process_names_background[0])][0].Clone('all_bkg_yy_'+title),mc_sf_list[process_names_mc.index(process_names_background[0])][1].Clone('all_bkg_nn_'+title)]
for process_background_index in range(1,len(process_names_background)):
allbkg[0].Add(mc_sf_list[process_names_mc.index(process_names_background[process_background_index])][0])
allbkg[1].Add(mc_sf_list[process_names_mc.index(process_names_background[process_background_index])][1])
#add signal
allsignal=[mc_sf_list[process_names_mc.index(process_names_signal)][0],mc_sf_list[process_names_mc.index(process_names_signal)][1]]
#add data - bkg
alldatambkg=[data_sf_list[0].Clone('all_datambkg_yy_'+title),data_sf_list[1].Clone('all_datambkg_nn_'+title)]
alldatambkg[0].Add(allbkg[0],-1.0)
alldatambkg[1].Add(allbkg[1],-1.0)
#return values
return [allmc,allbkg,allsignal,alldatambkg]
def copy_sf_lists(mc_sf_list,title):
mc_sf_new=[]
for process_name_index in range(0,len(process_names_mc)):
mc_sf_tmp=[mc_sf_list[process_name_index][0].Clone(mc_sf_list[process_name_index][0].GetName()+title),mc_sf_list[process_name_index][1].Clone(mc_sf_list[process_name_index][1].GetName()+title)]
mc_sf_new.append(mc_sf_tmp)
return mc_sf_new
#make sf notpr
#index_nn=cut_names.index("NOheptoptag_NOmasscut_hists_notpr")
#index_yy=cut_names.index("heptoptag_masscut_hists_notpr")
SF_bins = [150,200,250,400,10000]
SF_bins_trim = SF_bins[1:-1]
ScaleFactorsNames=[]
for i in range(len(SF_bins)-1):
if i<len(SF_bins)-2:
ScaleFactorsNames.append(str(SF_bins[i])+'-'+str(SF_bins[i+1]))
else:
ScaleFactorsNames.append('>'+str(SF_bins[i]))
#SF_etabins = [150,200,250,400,10000]
SF_etabins=ScaleFactorsEtaNames=['#eta<0.5','0.5<#eta<1.0','1.0<#eta<2.4','#eta<2.4']
#get the files
print 'get the files'
files_list_mc=[]
for process_name_index in range(len(process_names_mc)):
process_name=process_names_mc[process_name_index]
subprocess_sublist=[]
for subprocess_name_index in range(len(subprocess_names_mc[process_name_index])):
subprocess_name=subprocess_names_mc[process_name_index][subprocess_name_index]
subprocess_sublist.append(TFile(files_path+"/"+files_name_base+"."+subprocess_name+".root"))
files_list_mc.append(subprocess_sublist)
file_data=TFile(files_path+"/"+files_name_base+"."+subprocess_name_data+".root")
#structure: files_list_mc[process_name_index][subprocess_name_index]
#open output file
outfile=TFile(file_out_name, "RECREATE")
#get mc histos
input_histos_mc=[]
for process_name_index in range(len(process_names_mc)):
process_name=process_names_mc[process_name_index]
subprocess_sublist=[]
for subprocess_name_index in range(len(subprocess_names_mc[process_name_index])):
subprocess_name=subprocess_names_mc[process_name_index][subprocess_name_index]
histo_sublist=[]
for histogram_name_index in range(len(histogram_names)):
histogram_name=histogram_names[histogram_name_index]
cut_sublist=[]
for cut_name_index in range(len(cut_names)):
cut_name=cut_names[cut_name_index]
cut_sublist.append(files_list_mc[process_name_index][subprocess_name_index].Get(cut_name+"/"+histogram_name))
cut_sublist[-1].SetTitle('')
if (cut_name in ['eta1p0_400','eta1p0to2p4_400']) and (histogram_name in ['m01','m02','m12']):
cut_sublist[-1].Rebin(4)
histo_sublist.append(cut_sublist)
subprocess_sublist.append(histo_sublist)
input_histos_mc.append(subprocess_sublist)
#structure: input_histos_mc[process_name_index][subprocess_name_index][histogram_name_index][cut_name_index]
#get data histos
print 'get data histos'
input_histos_data=[]
for histogram_name_index in range(len(histogram_names)):
histogram_name=histogram_names[histogram_name_index]
tmp_histogram_sublist=[]
for cut_name_index in range(len(cut_names)):
cut_name=cut_names[cut_name_index]
tmp_histogram_sublist.append(file_data.Get(cut_name+"/"+histogram_name))#.Clone())
#tmp_histogram_sublist[-1].SetLineColor(kBlack)
#tmp_histogram_sublist[-1].SetLineWidth(2)
#tmp_histogram_sublist[-1].SetMarkerColor(kBlack)
tmp_histogram_sublist[-1].SetLineColor(1)
tmp_histogram_sublist[-1].SetLineStyle(1)
tmp_histogram_sublist[-1].SetLineWidth(1)
tmp_histogram_sublist[-1].SetMarkerColor(1)
tmp_histogram_sublist[-1].SetMarkerStyle(8)
tmp_histogram_sublist[-1].SetMarkerSize(1)
tmp_histogram_sublist[-1].SetName(histogram_name+'_'+cut_name)
tmp_histogram_sublist[-1].SetTitle('')
if (cut_name in ['eta1p0_400','eta1p0to2p4_400']) and (histogram_name in ['m01','m02','m12']):
tmp_histogram_sublist[-1].Rebin(4)
if cut_name=='NOheptoptag_NOmasscut_hists' and histogram_name=='MassTop':
tmp_histogram_sublist[-1].Write()
if cut_name in ['NOheptoptag_NOmasscut_hists','heptoptag_masscut_hists'] and histogram_name=='HTT2D':
tmp_histogram_sublist[-1].Write()
#tmp_histogram_sublist[-1].Sumw2()
#tmp_histogram_sublist[-1].Write()
input_histos_data.append(tmp_histogram_sublist)
#structure: input_histos_data[histogram_name_index][cut_name_index]
input_histos_data[topmass_index][index_nn].Write()
input_histos_data[topmass_index][index_yy].Write()
input_histos_data[toppt_index][index_nn].Write()
input_histos_data[toppt_index][index_yy].Write()
#merge mc histos
print 'merge mc histos'
input_merged_mc=[]
for process_name_index in range(len(process_names_mc)):
process_name=process_names_mc[process_name_index]
histo_sublist=[]
for histogram_name_index in range(len(histogram_names)):
histogram_name=histogram_names[histogram_name_index]
cut_sublist=[]
for cut_name_index in range(len(cut_names)):
cut_name=cut_names[cut_name_index]
merged_histo=input_histos_mc[process_name_index][0][histogram_name_index][cut_name_index].Clone(process_name+'_'+histogram_name+'_'+cut_name+'_Merge')
if len(subprocess_names_mc[process_name_index])>1:
for subprocess_name_index in range(1,len(subprocess_names_mc[process_name_index])):
merged_histo.Add(input_histos_mc[process_name_index][subprocess_name_index][histogram_name_index][cut_name_index])
process_color=process_colors[process_name_index]
merged_histo.SetFillColor(process_color)
merged_histo.SetLineColor(kBlack)
merged_histo.SetMarkerColor(process_color)
cut_sublist.append(merged_histo)
histo_sublist.append(cut_sublist)
input_merged_mc.append(histo_sublist)
#structure: input_merged_mc[process_name_index][histogram_name_index][cut_name_index]
#top pt reweight normalization
#Int_nn_notpr=0.0
#Int_yy_notpr=0.0
#Int_nn=0.0
#Int_yy=0.0
#for i in ['TTbarlept','TTbarhad','TTbarsemi']: #process_names_mc:
#Int_nn_notpr+=input_merged_mc[process_names_mc.index(i)][nevts_index][index_nn_notpr].Integral()
#Int_yy_notpr+=input_merged_mc[process_names_mc.index(i)][nevts_index][index_yy_notpr].Integral()
#Int_nn+=input_merged_mc[process_names_mc.index(i)][nevts_index][index_nn].Integral()
#Int_yy+=input_merged_mc[process_names_mc.index(i)][nevts_index][index_yy].Integral()
#weight_nn=Int_nn_notpr/Int_nn
#weight_yy=Int_yy_notpr/Int_yy
#print weight_nn,weight_yy
#for i in ['TTbarlept','TTbarhad','TTbarsemi']:#process_names_mc:
#process_name_index=process_names_mc.index(i)
#for histogram_name_index in range(len(histogram_names)):
#input_merged_mc[process_name_index][histogram_name_index][index_nn].Scale(weight_nn)
#input_merged_mc[process_name_index][histogram_name_index][index_yy].Scale(weight_yy)#.Scale(weight_nn)
#stack mc histos
print 'stack mc histos'
stacked_mc=[]
for histogram_name_index in range(len(histogram_names)):
histogram_name=histogram_names[histogram_name_index]
cut_sublist=[]
for cut_name_index in range(len(cut_names)):
cut_name=cut_names[cut_name_index]
stack_histo=THStack(histogram_name+'_'+cut_name+'_Stack','')
for process_name_index in range(len(process_names_mc)):
stack_histo.Add(input_merged_mc[process_name_index][histogram_name_index][cut_name_index])
cut_sublist.append(stack_histo)
stacked_mc.append(cut_sublist)
#structure: stacked_mc[histogram_name_index][cut_name_index]
#add mc histos for pull
print 'add mc histos for pull'
added_mc=[]
added_mc_signal=[]
added_mc_background=[]
added_mc_SoverB=[]
added_mc_DoverMC=[]
added_mc_DmBoverS=[]
added_mc_DmB=[]
signal_name= process_names_signal#'TTbarsemi'
for histogram_name_index in range(len(histogram_names)):
histogram_name=histogram_names[histogram_name_index]
cut_sublist=[]
cut_sublist_signal=[]
cut_sublist_background=[]
cut_sublist_SoverB=[]
cut_sublist_DoverMC=[]
cut_sublist_DmBoverS=[]
cut_sublist_DmB=[]
for cut_name_index in range(len(cut_names)):
cut_name=cut_names[cut_name_index]
added_histo=input_merged_mc[0][histogram_name_index][cut_name_index].Clone(histogram_name+'_'+cut_name+'_Add')
added_histo_background=input_merged_mc[0][histogram_name_index][cut_name_index].Clone(histogram_name+'_'+cut_name+'_Background_Add')
if len(process_names_mc)>1:
for process_name_index in range(1,len(process_names_mc)):
added_histo.Add(input_merged_mc[process_name_index][histogram_name_index][cut_name_index])
if process_names_mc[process_name_index]==signal_name:
added_histo_signal=input_merged_mc[process_name_index][histogram_name_index][cut_name_index].Clone(histogram_name+'_'+cut_name+'_Signal_Add')
else:
added_histo_background.Add(input_merged_mc[process_name_index][histogram_name_index][cut_name_index])
added_histo_SoverB=added_histo_signal.Clone(histogram_name+'_'+cut_name+'_SoverB_Add')
added_histo_SoverB.Divide(added_histo_background)
added_histo_DoverMC=input_histos_data[histogram_name_index][cut_name_index].Clone(histogram_name+'_'+cut_name+'_DoverMC_Add')
added_histo_DoverMC.Divide(added_histo)
added_histo_DmB=input_histos_data[histogram_name_index][cut_name_index].Clone(histogram_name+'_'+cut_name+'_DmB_Add')
added_histo_DmB.Add(added_histo_background,-1.0)
added_histo_DmBoverS=input_histos_data[histogram_name_index][cut_name_index].Clone(histogram_name+'_'+cut_name+'_DmBoverS_Add')
added_histo_DmBoverS.Add(added_histo_background,-1.0)
added_histo_DmBoverS.Divide(added_histo_signal)
#if histogram_name=='ptSFcount' and cut_name=="NOheptoptag_NOmasscut_hists":
# added_histo_SoverB.Write()
cut_sublist.append(added_histo)
cut_sublist_signal.append(added_histo_signal)
cut_sublist_background.append(added_histo_background)
cut_sublist_SoverB.append(added_histo_SoverB)
cut_sublist_DoverMC.append(added_histo_DoverMC)
cut_sublist_DmBoverS.append(added_histo_DmBoverS)
cut_sublist_DmB.append(added_histo_DmB)
if histogram_name=='Nevts' and cut_name=="NOheptoptag_NOmasscut_hists":
ndata=input_histos_data[histogram_name_index][cut_name_index].GetBinContent(1)
ndataerr=input_histos_data[histogram_name_index][cut_name_index].GetBinError(1)
nmc=added_histo.GetBinContent(1)
nmcerr=added_histo.GetBinError(1)
canvas=TCanvas('conto')
latex=TLatex()
latex.DrawLatex(0.1,0.8,"N_{DATA}="+str(ndata)+'#pm'+str(ndataerr))
latex.DrawLatex(0.1,0.6,"N_{MC}="+str(nmc)+'#pm'+str(nmcerr))
latex.Draw()
canvas.Write()
if histogram_name in ['ptSFcount'] and cut_name in ["heptoptag_masscut_hists","NOheptoptag_NOmasscut_hists","NOheptoptag_masscut_hists","heptoptag_NOmasscut_hists","heptoptag_NOmasscut__NOheptoptag_masscut_hists"]:
SBbin=TH1F(histogram_name+'_'+cut_name+'_SBbin','Signal/Background;p_{T} range [GeV];S/B',len(SF_bins)-1,0,len(SF_bins)-1)
SBbin.SetStats(kFALSE)
for i in range(1,len(SF_bins)):
SBbin.SetBinContent(i,added_histo_SoverB.GetBinContent(i))
SBbin.SetBinError(i,added_histo_SoverB.GetBinError(i))
SBbin.GetXaxis().SetBinLabel(i,ScaleFactorsNames[i-1])
SBbin.GetXaxis().SetLabelSize(0.07)
SBbin.SetLineWidth(2)
SBbin.Write()
if histogram_name in ['Nevts','ptSFcount'] and cut_name in ["heptoptag_masscut_hists","NOheptoptag_NOmasscut_hists"]:#,"NOheptoptag_masscut_hists","heptoptag_NOmasscut_hists","heptoptag_NOmasscut__NOheptoptag_masscut_hists"]:
added_histo_SoverB.SetStats(kFALSE)
added_histo_SoverB.SetTitle('Signal/Background')
added_histo_SoverB.Write()
added_histo_DoverMC.Write()
canvas=TCanvas(histogram_name+'_'+cut_name+'_Info')
SoverBvalue=added_histo_SoverB.GetBinContent(1)
SoverBerror=added_histo_SoverB.GetBinError(1)
DoverMCvalue=added_histo_DoverMC.GetBinContent(1)
DoverMCerror=added_histo_DoverMC.GetBinError(1)
latex=TLatex()
#latex.DrawLatex(0.1,0.8,"#frac{S}{B}="+('%.3f' % SoverBvalue)+'#pm'+('%.3f' % SoverBerror))
#latex.DrawLatex(0.1,0.6,"#frac{DATA}{MC}="+('%.3f' % DoverMCvalue)+'#pm'+('%.3f' % DoverMCerror))
latex.DrawLatex(0.1,0.8,"#frac{S}{B}="+str(SoverBvalue)+'#pm'+str(SoverBerror))
latex.DrawLatex(0.1,0.6,"#frac{DATA}{MC}="+str(DoverMCvalue)+'#pm'+str(DoverMCerror))
latex.Draw()
canvas.Write()
if histogram_name in ['HTT2D'] and cut_name in ["heptoptag_masscut_hists","NOheptoptag_NOmasscut_hists"]:
added_histo.SetStats(kFALSE)
added_histo_signal.SetStats(kFALSE)
added_histo_background.SetStats(kFALSE)
added_histo_SoverB.SetStats(kFALSE)
added_histo_DoverMC.SetStats(kFALSE)
added_histo_DmBoverS.SetStats(kFALSE)
added_histo_DmB.SetStats(kFALSE)
added_histo.Write()
added_histo_signal.Write()
added_histo_background.Write()
added_histo_SoverB.Write()
added_histo_DoverMC.Write()
added_histo_DmBoverS.Write()
added_histo_DmB.Write()
added_mc.append(cut_sublist)
added_mc_signal.append(cut_sublist_signal)
added_mc_background.append(cut_sublist_background)
added_mc_SoverB.append(cut_sublist_SoverB)
added_mc_DoverMC.append(cut_sublist_DoverMC)
added_mc_DmBoverS.append(cut_sublist_DmBoverS)
added_mc_DmB.append(cut_sublist_DmB)
#structure: added_mc[histogram_name_index][cut_name_index]
added_mc[topmass_index][index_nn].Write()
added_mc[topmass_index][index_yy].Write()
added_mc[toppt_index][index_nn].Write()
added_mc[toppt_index][index_yy].Write()
#print added_mc[nevts_index][index_nn].Integral(),added_mc[nevts_index][index_nn_notpr].Integral()
#weight_nn=added_mc[nevts_index][index_nn_notpr].Integral()/added_mc[nevts_index][index_nn].Integral()
#weight_yy=added_mc[nevts_index][index_yy_notpr].Integral()/added_mc[nevts_index][index_yy].Integral()
#print weight_nn,weight_yy
#for histogram_name_index in range(len(histogram_names)):
#added_mc[histogram_name_index][index_nn].Scale(weight_nn)
#added_mc[histogram_name_index][index_yy].Scale(weight_nn)#.Scale(weight_yy)
# added_mc[histogram_name_index][index_nn]=added_mc[histogram_name_index][index_nn_notpr]
# added_mc[histogram_name_index][index_yy]=added_mc[histogram_name_index][index_yy_notpr]
#print 'NN data',input_histos_data[nevts_index][index_nn].GetBinContent(1),input_histos_data[nevts_index][index_nn].GetBinError(1)
#print 'NN mc',added_mc[nevts_index][index_nn].GetBinContent(1),added_mc[nevts_index][index_nn].GetBinError(1)
#print 'YY data',input_histos_data[nevts_index][index_yy].GetBinContent(1),input_histos_data[nevts_index][index_yy].GetBinError(1)
#print 'YY mc',added_mc[nevts_index][index_yy].GetBinContent(1),added_mc[nevts_index][index_yy].GetBinError(1)
#calculate efficiencies
print 'calculate efficiencies'
for histogram_name_index in [nevts_index,ptSFcount_index,pt2_index,histogram_names.index('N_pv'),histogram_names.index('N_pv200'),histogram_names.index('N_pv300'),histogram_names.index('N_pv400'),histogram_names.index('N_pv500'),histogram_names.index('N_pv600')]:
histogram_name=histogram_names[histogram_name_index]
DoverD=input_histos_data[histogram_name_index][index_yy].Clone(histogram_name+'_DoverD')
DoverD.Divide(input_histos_data[histogram_name_index][index_yy],input_histos_data[histogram_name_index][index_nn],1,1,'B')
# DoverD_2=input_histos_data[histogram_name_index][index_yy].Clone(histogram_name+'_DoverD')
# DoverD_2.Divide(input_histos_data[histogram_name_index][index_yy],input_histos_data[histogram_name_index][index_nn],1,1,'B')
MCoverMC=added_mc[histogram_name_index][index_yy].Clone(histogram_name+'_MCoverMC')
MCoverMC.Divide(added_mc[histogram_name_index][index_yy],added_mc[histogram_name_index][index_nn],1,1,'B')
SoverS=added_mc_signal[histogram_name_index][index_yy].Clone(histogram_name+'_SoverS')
SoverS.Divide(added_mc_signal[histogram_name_index][index_yy],added_mc_signal[histogram_name_index][index_nn],1,1,'B')
BoverB=added_mc_background[histogram_name_index][index_yy].Clone(histogram_name+'_BoverB')
BoverB.Divide(added_mc_background[histogram_name_index][index_yy],added_mc_background[histogram_name_index][index_nn],1,1,'B')
DmBoverDmB=input_histos_data[histogram_name_index][index_yy].Clone(histogram_name+'_DmBoverDmB')
DmBoverDmB.Add(added_mc_background[histogram_name_index][index_yy],-1.0)
DmBnn=input_histos_data[histogram_name_index][index_nn].Clone(histogram_name+'_DmBnn')
DmBnn.Add(added_mc_background[histogram_name_index][index_nn],-1.0)
DmBoverDmB.Divide(DmBoverDmB,DmBnn,1,1,'B')
DoverD.SetLineWidth(2)
MCoverMC.SetLineWidth(2)
SoverS.SetLineWidth(2)
BoverB.SetLineWidth(2)
DmBoverDmB.SetLineWidth(2)
DoverD.SetStats(kFALSE)
MCoverMC.SetStats(kFALSE)
SoverS.SetStats(kFALSE)
BoverB.SetStats(kFALSE)
DmBoverDmB.SetStats(kFALSE)
DoverD.GetYaxis().SetTitle('HepTopTagger rate')
MCoverMC.GetYaxis().SetTitle('HepTopTagger rate')
SoverS.GetYaxis().SetTitle('HepTopTagger rate')
BoverB.GetYaxis().SetTitle('HepTopTagger rate')
DmBoverDmB.SetTitle('HepTopTagger rate')
DoverD.GetYaxis().SetRangeUser(0,1)
MCoverMC.GetYaxis().SetRangeUser(0,1)
SoverS.GetYaxis().SetRangeUser(0,1)
BoverB.GetYaxis().SetRangeUser(0,1)
DmBoverDmB.GetYaxis().SetRangeUser(0,1)
DoverD.Write()
MCoverMC.Write()
SoverS.Write()
BoverB.Write()
DmBoverDmB.Write()
#calculate SF
print 'calculate SF'
#SFbin_DoverD=input_histos_data[ptSFcount_index][index_yy].Clone('SFbin_DoverD')
#SFbin_DoverD.Divide(input_histos_data[ptSFcount_index][index_yy],input_histos_data[ptSFcount_index][index_nn],1,1,'B')
#SFbin_MCoverMC=added_mc[ptSFcount_index][index_yy].Clone('SFbin_MCoverMC')
#SFbin_MCoverMC.Divide(added_mc[ptSFcount_index][index_yy],added_mc[ptSFcount_index][index_nn],1,1,'B')
#SFbin_DmBoverDmB=added_mc_DmB[ptSFcount_index][index_yy].Clone('SFbin_DmBoverDmB')
#SFbin_DmBoverDmB.Divide(added_mc_DmB[ptSFcount_index][index_yy],added_mc_DmB[ptSFcount_index][index_nn],1,1,'B')
#SFbin_SoverS=added_mc_signal[ptSFcount_index][index_yy].Clone('SFbin_SoverS')
#SFbin_SoverS.Divide(added_mc_signal[ptSFcount_index][index_yy],added_mc_signal[ptSFcount_index][index_nn],1,1,'B')
#SFbin=SFbin_DoverD.Clone('SFbin')
#SFbin.Divide(SFbin_MCoverMC)
#SFbin_NoBkg=SFbin_DmBoverDmB.Clone('SFbin_NoBkg')
#SFbin_NoBkg.Divide(SFbin_SoverS)
[SFbin_DoverD,SFbin_MCoverMC,SFbin_DmBoverDmB,SFbin_SoverS,SFbin,SFbin_NoBkg]=scalefactor(input_histos_data,added_mc,added_mc_signal,added_mc_DmB,'')
data_sf=[input_histos_data[ptSFcount_index][index_yy].Clone(input_histos_data[ptSFcount_index][index_yy].GetName()+'_sf'),input_histos_data[ptSFcount_index][index_nn].Clone(input_histos_data[ptSFcount_index][index_nn].GetName()+'_sf')]
#"eta0p5","eta2p4","eta0p5to1p0","eta1p0to2p4","eta0p5_HTT","eta2p4_HTT","eta0p5to1p0_HTT","eta1p0to2p4_HTT"
index_nn_eta0p5=cut_names.index("eta0p5")
index_yy_eta0p5=cut_names.index("eta0p5_HTT")
index_nn_eta2p4=cut_names.index("eta2p4")
index_yy_eta2p4=cut_names.index("eta2p4_HTT")
index_nn_eta0p5to1p0=cut_names.index("eta0p5to1p0")
index_yy_eta0p5to1p0=cut_names.index("eta0p5to1p0_HTT")
index_nn_eta1p0to2p4=cut_names.index("eta1p0to2p4")
index_yy_eta1p0to2p4=cut_names.index("eta1p0to2p4_HTT")
index_nn_eta1p0=cut_names.index("eta1p0")
index_yy_eta1p0=cut_names.index("eta1p0_HTT")
index_nn_eta1p0_nsub=cut_names.index("eta1p0")
index_yy_eta1p0_nsub=cut_names.index("eta1p0_HTT_nsub")
index_nn_eta1p0to2p4_nsub=cut_names.index("eta1p0to2p4")
index_yy_eta1p0to2p4_nsub=cut_names.index("eta1p0to2p4_HTT_nsub")
index_cutflow1_eta1p0=cut_names.index("cutflow_mass_eta1p0")
index_cutflow1_eta1p0to2p4=cut_names.index("cutflow_mass_eta1p0to2p4")
index_cutflow2_eta1p0=cut_names.index("cutflow_mass_htt_eta1p0")
index_cutflow2_eta1p0to2p4=cut_names.index("cutflow_mass_htt_eta1p0to2p4")
index_cutflow3_eta1p0=cut_names.index("cutflow_mass_htt_nsub_eta1p0")
index_cutflow3_eta1p0to2p4=cut_names.index("cutflow_mass_htt_nsub_eta1p0to2p4")
sf_eta=[]
sf_eta.append(scalefactor2(
[input_histos_data[ptSFcount_index][index_yy_eta0p5].Clone(input_histos_data[ptSFcount_index][index_yy_eta0p5].GetName()+'_sf'),input_histos_data[ptSFcount_index][index_nn_eta0p5].Clone(input_histos_data[ptSFcount_index][index_nn_eta0p5].GetName()+'_sf')],
[added_mc[ptSFcount_index][index_yy_eta0p5].Clone(added_mc[ptSFcount_index][index_yy_eta0p5].GetName()+'_sf'),added_mc[ptSFcount_index][index_nn_eta0p5].Clone(added_mc[ptSFcount_index][index_nn_eta0p5].GetName()+'_sf')],
[added_mc_signal[ptSFcount_index][index_yy_eta0p5].Clone(added_mc_signal[ptSFcount_index][index_yy_eta0p5].GetName()+'_sf'),added_mc_signal[ptSFcount_index][index_nn_eta0p5].Clone(added_mc_signal[ptSFcount_index][index_nn_eta0p5].GetName()+'_sf')],
[added_mc_DmB[ptSFcount_index][index_yy_eta0p5].Clone(added_mc_DmB[ptSFcount_index][index_yy_eta0p5].GetName()+'_sf'),added_mc_DmB[ptSFcount_index][index_nn_eta0p5].Clone(added_mc_DmB[ptSFcount_index][index_nn_eta0p5].GetName()+'_sf')],
'_sf_eta0p5'
)[5])
sf_eta.append(scalefactor2(
[input_histos_data[ptSFcount_index][index_yy_eta0p5to1p0].Clone(input_histos_data[ptSFcount_index][index_yy_eta0p5to1p0].GetName()+'_sf'),input_histos_data[ptSFcount_index][index_nn_eta0p5to1p0].Clone(input_histos_data[ptSFcount_index][index_nn_eta0p5to1p0].GetName()+'_sf')],
[added_mc[ptSFcount_index][index_yy_eta0p5to1p0].Clone(added_mc[ptSFcount_index][index_yy_eta0p5to1p0].GetName()+'_sf'),added_mc[ptSFcount_index][index_nn_eta0p5to1p0].Clone(added_mc[ptSFcount_index][index_nn_eta0p5to1p0].GetName()+'_sf')],
[added_mc_signal[ptSFcount_index][index_yy_eta0p5to1p0].Clone(added_mc_signal[ptSFcount_index][index_yy_eta0p5to1p0].GetName()+'_sf'),added_mc_signal[ptSFcount_index][index_nn_eta0p5to1p0].Clone(added_mc_signal[ptSFcount_index][index_nn_eta0p5to1p0].GetName()+'_sf')],
[added_mc_DmB[ptSFcount_index][index_yy_eta0p5to1p0].Clone(added_mc_DmB[ptSFcount_index][index_yy_eta0p5to1p0].GetName()+'_sf'),added_mc_DmB[ptSFcount_index][index_nn_eta0p5to1p0].Clone(added_mc_DmB[ptSFcount_index][index_nn_eta0p5to1p0].GetName()+'_sf')],
'_sf_eta0p5to1p0'
)[5])
sf_eta.append(scalefactor2(
[input_histos_data[ptSFcount_index][index_yy_eta1p0to2p4].Clone(input_histos_data[ptSFcount_index][index_yy_eta1p0to2p4].GetName()+'_sf'),input_histos_data[ptSFcount_index][index_nn_eta1p0to2p4].Clone(input_histos_data[ptSFcount_index][index_nn_eta1p0to2p4].GetName()+'_sf')],
[added_mc[ptSFcount_index][index_yy_eta1p0to2p4].Clone(added_mc[ptSFcount_index][index_yy_eta1p0to2p4].GetName()+'_sf'),added_mc[ptSFcount_index][index_nn_eta1p0to2p4].Clone(added_mc[ptSFcount_index][index_nn_eta1p0to2p4].GetName()+'_sf')],
[added_mc_signal[ptSFcount_index][index_yy_eta1p0to2p4].Clone(added_mc_signal[ptSFcount_index][index_yy_eta1p0to2p4].GetName()+'_sf'),added_mc_signal[ptSFcount_index][index_nn_eta1p0to2p4].Clone(added_mc_signal[ptSFcount_index][index_nn_eta1p0to2p4].GetName()+'_sf')],
[added_mc_DmB[ptSFcount_index][index_yy_eta1p0to2p4].Clone(added_mc_DmB[ptSFcount_index][index_yy_eta1p0to2p4].GetName()+'_sf'),added_mc_DmB[ptSFcount_index][index_nn_eta1p0to2p4].Clone(added_mc_DmB[ptSFcount_index][index_nn_eta1p0to2p4].GetName()+'_sf')],
'_sf_eta1p0to2p41'
)[5])
sf_eta.append(scalefactor2(
[input_histos_data[ptSFcount_index][index_yy_eta2p4].Clone(input_histos_data[ptSFcount_index][index_yy_eta2p4].GetName()+'_sf'),input_histos_data[ptSFcount_index][index_nn_eta2p4].Clone(input_histos_data[ptSFcount_index][index_nn_eta2p4].GetName()+'_sf')],
[added_mc[ptSFcount_index][index_yy_eta2p4].Clone(added_mc[ptSFcount_index][index_yy_eta2p4].GetName()+'_sf'),added_mc[ptSFcount_index][index_nn_eta2p4].Clone(added_mc[ptSFcount_index][index_nn_eta2p4].GetName()+'_sf')],
[added_mc_signal[ptSFcount_index][index_yy_eta2p4].Clone(added_mc_signal[ptSFcount_index][index_yy_eta2p4].GetName()+'_sf'),added_mc_signal[ptSFcount_index][index_nn_eta2p4].Clone(added_mc_signal[ptSFcount_index][index_nn_eta2p4].GetName()+'_sf')],
[added_mc_DmB[ptSFcount_index][index_yy_eta2p4].Clone(added_mc_DmB[ptSFcount_index][index_yy_eta2p4].GetName()+'_sf'),added_mc_DmB[ptSFcount_index][index_nn_eta2p4].Clone(added_mc_DmB[ptSFcount_index][index_nn_eta2p4].GetName()+'_sf')],
'_sf_eta2p4'
)[5])
sf_eta1p0to2p4=scalefactor2(
[input_histos_data[ptSFcount_index][index_yy_eta1p0to2p4].Clone(input_histos_data[ptSFcount_index][index_yy_eta1p0to2p4].GetName()+'_sf'),input_histos_data[ptSFcount_index][index_nn_eta1p0to2p4].Clone(input_histos_data[ptSFcount_index][index_nn_eta1p0to2p4].GetName()+'_sf')],
[added_mc[ptSFcount_index][index_yy_eta1p0to2p4].Clone(added_mc[ptSFcount_index][index_yy_eta1p0to2p4].GetName()+'_sf'),added_mc[ptSFcount_index][index_nn_eta1p0to2p4].Clone(added_mc[ptSFcount_index][index_nn_eta1p0to2p4].GetName()+'_sf')],
[added_mc_signal[ptSFcount_index][index_yy_eta1p0to2p4].Clone(added_mc_signal[ptSFcount_index][index_yy_eta1p0to2p4].GetName()+'_sf'),added_mc_signal[ptSFcount_index][index_nn_eta1p0to2p4].Clone(added_mc_signal[ptSFcount_index][index_nn_eta1p0to2p4].GetName()+'_sf')],
[added_mc_DmB[ptSFcount_index][index_yy_eta1p0to2p4].Clone(added_mc_DmB[ptSFcount_index][index_yy_eta1p0to2p4].GetName()+'_sf'),added_mc_DmB[ptSFcount_index][index_nn_eta1p0to2p4].Clone(added_mc_DmB[ptSFcount_index][index_nn_eta1p0to2p4].GetName()+'_sf')],
'_sf_eta1p0to2p4'
)[5]
sf_eta1p0=scalefactor2(
[input_histos_data[ptSFcount_index][index_yy_eta1p0].Clone(input_histos_data[ptSFcount_index][index_yy_eta1p0].GetName()+'_sf'),input_histos_data[ptSFcount_index][index_nn_eta1p0].Clone(input_histos_data[ptSFcount_index][index_nn_eta1p0].GetName()+'_sf')],
[added_mc[ptSFcount_index][index_yy_eta1p0].Clone(added_mc[ptSFcount_index][index_yy_eta1p0].GetName()+'_sf'),added_mc[ptSFcount_index][index_nn_eta1p0].Clone(added_mc[ptSFcount_index][index_nn_eta1p0].GetName()+'_sf')],
[added_mc_signal[ptSFcount_index][index_yy_eta1p0].Clone(added_mc_signal[ptSFcount_index][index_yy_eta1p0].GetName()+'_sf'),added_mc_signal[ptSFcount_index][index_nn_eta1p0].Clone(added_mc_signal[ptSFcount_index][index_nn_eta1p0].GetName()+'_sf')],
[added_mc_DmB[ptSFcount_index][index_yy_eta1p0].Clone(added_mc_DmB[ptSFcount_index][index_yy_eta1p0].GetName()+'_sf'),added_mc_DmB[ptSFcount_index][index_nn_eta1p0].Clone(added_mc_DmB[ptSFcount_index][index_nn_eta1p0].GetName()+'_sf')],
'_sf_eta1p0'
)[5]
sf_eta1p0_nsub=scalefactor2(
[input_histos_data[ptSFcount_index][index_yy_eta1p0_nsub].Clone(input_histos_data[ptSFcount_index][index_yy_eta1p0_nsub].GetName()+'_sf'),input_histos_data[ptSFcount_index][index_nn_eta1p0_nsub].Clone(input_histos_data[ptSFcount_index][index_nn_eta1p0_nsub].GetName()+'_sf')],
[added_mc[ptSFcount_index][index_yy_eta1p0_nsub].Clone(added_mc[ptSFcount_index][index_yy_eta1p0_nsub].GetName()+'_sf'),added_mc[ptSFcount_index][index_nn_eta1p0_nsub].Clone(added_mc[ptSFcount_index][index_nn_eta1p0_nsub].GetName()+'_sf')],
[added_mc_signal[ptSFcount_index][index_yy_eta1p0_nsub].Clone(added_mc_signal[ptSFcount_index][index_yy_eta1p0_nsub].GetName()+'_sf'),added_mc_signal[ptSFcount_index][index_nn_eta1p0_nsub].Clone(added_mc_signal[ptSFcount_index][index_nn_eta1p0_nsub].GetName()+'_sf')],
[added_mc_DmB[ptSFcount_index][index_yy_eta1p0_nsub].Clone(added_mc_DmB[ptSFcount_index][index_yy_eta1p0_nsub].GetName()+'_sf'),added_mc_DmB[ptSFcount_index][index_nn_eta1p0_nsub].Clone(added_mc_DmB[ptSFcount_index][index_nn_eta1p0_nsub].GetName()+'_sf')],
'_sf_eta1p0_nsub'
)[5]
sf_eta1p0to2p4_nsub=scalefactor2(
[input_histos_data[ptSFcount_index][index_yy_eta1p0to2p4_nsub].Clone(input_histos_data[ptSFcount_index][index_yy_eta1p0to2p4_nsub].GetName()+'_sf'),input_histos_data[ptSFcount_index][index_nn_eta1p0to2p4_nsub].Clone(input_histos_data[ptSFcount_index][index_nn_eta1p0to2p4_nsub].GetName()+'_sf')],
[added_mc[ptSFcount_index][index_yy_eta1p0to2p4_nsub].Clone(added_mc[ptSFcount_index][index_yy_eta1p0to2p4_nsub].GetName()+'_sf'),added_mc[ptSFcount_index][index_nn_eta1p0to2p4_nsub].Clone(added_mc[ptSFcount_index][index_nn_eta1p0to2p4_nsub].GetName()+'_sf')],
[added_mc_signal[ptSFcount_index][index_yy_eta1p0to2p4_nsub].Clone(added_mc_signal[ptSFcount_index][index_yy_eta1p0to2p4_nsub].GetName()+'_sf'),added_mc_signal[ptSFcount_index][index_nn_eta1p0to2p4_nsub].Clone(added_mc_signal[ptSFcount_index][index_nn_eta1p0to2p4_nsub].GetName()+'_sf')],
[added_mc_DmB[ptSFcount_index][index_yy_eta1p0to2p4_nsub].Clone(added_mc_DmB[ptSFcount_index][index_yy_eta1p0to2p4_nsub].GetName()+'_sf'),added_mc_DmB[ptSFcount_index][index_nn_eta1p0to2p4_nsub].Clone(added_mc_DmB[ptSFcount_index][index_nn_eta1p0to2p4_nsub].GetName()+'_sf')],
'_sf_eta1p0to2p4_nsub'
)[5]
index_cutflow1_eta1p0=cut_names.index("cutflow_mass_eta1p0")
index_cutflow1_eta1p0to2p4=cut_names.index("cutflow_mass_eta1p0to2p4")
index_cutflow2_eta1p0=cut_names.index("cutflow_mass_htt_eta1p0")
index_cutflow2_eta1p0to2p4=cut_names.index("cutflow_mass_htt_eta1p0to2p4")
index_cutflow3_eta1p0=cut_names.index("cutflow_mass_htt_nsub_eta1p0")
index_cutflow3_eta1p0to2p4=cut_names.index("cutflow_mass_htt_nsub_eta1p0to2p4")
#cutflow-like SFs
sf_cutflow1_eta1p0=scalefactor2(
[input_histos_data[ptSFcount_index][index_cutflow1_eta1p0] , input_histos_data[ptSFcount_index][index_nn_eta1p0]],
[added_mc [ptSFcount_index][index_cutflow1_eta1p0] , added_mc [ptSFcount_index][index_nn_eta1p0]],
[added_mc_signal [ptSFcount_index][index_cutflow1_eta1p0] , added_mc_signal [ptSFcount_index][index_nn_eta1p0]],
[added_mc_DmB [ptSFcount_index][index_cutflow1_eta1p0] , added_mc_DmB [ptSFcount_index][index_nn_eta1p0]],
'_sf_cutflow1_eta1p0'
)[5]
sf_cutflow2_eta1p0=scalefactor2(
[input_histos_data[ptSFcount_index][index_cutflow2_eta1p0] , input_histos_data[ptSFcount_index][index_cutflow1_eta1p0]],
[added_mc [ptSFcount_index][index_cutflow2_eta1p0] , added_mc [ptSFcount_index][index_cutflow1_eta1p0]],
[added_mc_signal [ptSFcount_index][index_cutflow2_eta1p0] , added_mc_signal [ptSFcount_index][index_cutflow1_eta1p0]],
[added_mc_DmB [ptSFcount_index][index_cutflow2_eta1p0] , added_mc_DmB [ptSFcount_index][index_cutflow1_eta1p0]],
'_sf_cutflow2_eta1p0'
)[5]
sf_cutflow3_eta1p0=scalefactor2(
[input_histos_data[ptSFcount_index][index_cutflow3_eta1p0] , input_histos_data[ptSFcount_index][index_cutflow2_eta1p0]],
[added_mc [ptSFcount_index][index_cutflow3_eta1p0] , added_mc [ptSFcount_index][index_cutflow2_eta1p0]],
[added_mc_signal [ptSFcount_index][index_cutflow3_eta1p0] , added_mc_signal [ptSFcount_index][index_cutflow2_eta1p0]],
[added_mc_DmB [ptSFcount_index][index_cutflow3_eta1p0] , added_mc_DmB [ptSFcount_index][index_cutflow2_eta1p0]],
'_sf_cutflow3_eta1p0'
)[5]
sf_cutflow1_eta1p0to2p4=scalefactor2(
[input_histos_data[ptSFcount_index][index_cutflow1_eta1p0to2p4] , input_histos_data[ptSFcount_index][index_nn_eta1p0to2p4]],
[added_mc [ptSFcount_index][index_cutflow1_eta1p0to2p4] , added_mc [ptSFcount_index][index_nn_eta1p0to2p4]],
[added_mc_signal [ptSFcount_index][index_cutflow1_eta1p0to2p4] , added_mc_signal [ptSFcount_index][index_nn_eta1p0to2p4]],
[added_mc_DmB [ptSFcount_index][index_cutflow1_eta1p0to2p4] , added_mc_DmB [ptSFcount_index][index_nn_eta1p0to2p4]],
'_sf_cutflow1_eta1p0to2p4'
)[5]
sf_cutflow2_eta1p0to2p4=scalefactor2(
[input_histos_data[ptSFcount_index][index_cutflow2_eta1p0to2p4] , input_histos_data[ptSFcount_index][index_cutflow1_eta1p0to2p4]],
[added_mc [ptSFcount_index][index_cutflow2_eta1p0to2p4] , added_mc [ptSFcount_index][index_cutflow1_eta1p0to2p4]],
[added_mc_signal [ptSFcount_index][index_cutflow2_eta1p0to2p4] , added_mc_signal [ptSFcount_index][index_cutflow1_eta1p0to2p4]],
[added_mc_DmB [ptSFcount_index][index_cutflow2_eta1p0to2p4] , added_mc_DmB [ptSFcount_index][index_cutflow1_eta1p0to2p4]],
'_sf_cutflow2_eta1p0to2p4'
)[5]
sf_cutflow3_eta1p0to2p4=scalefactor2(
[input_histos_data[ptSFcount_index][index_cutflow3_eta1p0to2p4] , input_histos_data[ptSFcount_index][index_cutflow2_eta1p0to2p4]],
[added_mc [ptSFcount_index][index_cutflow3_eta1p0to2p4] , added_mc [ptSFcount_index][index_cutflow2_eta1p0to2p4]],
[added_mc_signal [ptSFcount_index][index_cutflow3_eta1p0to2p4] , added_mc_signal [ptSFcount_index][index_cutflow2_eta1p0to2p4]],
[added_mc_DmB [ptSFcount_index][index_cutflow3_eta1p0to2p4] , added_mc_DmB [ptSFcount_index][index_cutflow2_eta1p0to2p4]],
'_sf_cutflow3_eta1p0to2p4'
)[5]
print 'sf_eta2p4'
for i in range(2,len(SF_bins)):
print ScaleFactorsNames[i-1],"%.2f" % sf_eta[3].GetBinContent(i),"%.2f" % sf_eta[3].GetBinError(i)
print 'sf_eta1p0'
for i in range(2,len(SF_bins)):
print ScaleFactorsNames[i-1],"%.2f" % sf_eta1p0.GetBinContent(i),"%.2f" % sf_eta1p0.GetBinError(i)
print 'sf_eta1p0to2p4'
for i in range(2,len(SF_bins)):
print ScaleFactorsNames[i-1],"%.2f" % sf_eta1p0to2p4.GetBinContent(i),"%.2f" % sf_eta1p0to2p4.GetBinError(i)
print 'sf_eta1p0_nsub'
for i in range(2,len(SF_bins)):
print ScaleFactorsNames[i-1],"%.2f" % sf_eta1p0_nsub.GetBinContent(i),"%.2f" % sf_eta1p0_nsub.GetBinError(i)
print 'sf_eta1p0to2p4_nsub'
for i in range(2,len(SF_bins)):
print ScaleFactorsNames[i-1],"%.2f" % sf_eta1p0to2p4_nsub.GetBinContent(i),"%.2f" % sf_eta1p0to2p4_nsub.GetBinError(i)
print '\n'
print 'sf_cutflow1_eta1p0'
for i in range(2,len(SF_bins)):
print ScaleFactorsNames[i-1],"%.2f" % sf_cutflow1_eta1p0.GetBinContent(i),"%.2f" % sf_cutflow1_eta1p0.GetBinError(i)
print 'sf_cutflow2_eta1p0'
for i in range(2,len(SF_bins)):
print ScaleFactorsNames[i-1],"%.2f" % sf_cutflow2_eta1p0.GetBinContent(i),"%.2f" % sf_cutflow2_eta1p0.GetBinError(i)
print 'sf_cutflow3_eta1p0'
for i in range(2,len(SF_bins)):
print ScaleFactorsNames[i-1],"%.2f" % sf_cutflow3_eta1p0.GetBinContent(i),"%.2f" % sf_cutflow3_eta1p0.GetBinError(i)
print '\n'
print 'sf_cutflow1_eta1p0to2p4'
for i in range(2,len(SF_bins)):
print ScaleFactorsNames[i-1],"%.2f" % sf_cutflow1_eta1p0to2p4.GetBinContent(i),"%.2f" % sf_cutflow1_eta1p0to2p4.GetBinError(i)
print 'sf_cutflow2_eta1p0to2p4'
for i in range(2,len(SF_bins)):
print ScaleFactorsNames[i-1],"%.2f" % sf_cutflow2_eta1p0to2p4.GetBinContent(i),"%.2f" % sf_cutflow2_eta1p0to2p4.GetBinError(i)
print 'sf_cutflow3_eta1p0to2p4'
for i in range(2,len(SF_bins)):
print ScaleFactorsNames[i-1],"%.2f" % sf_cutflow3_eta1p0to2p4.GetBinContent(i),"%.2f" % sf_cutflow3_eta1p0to2p4.GetBinError(i)
#added_mc.append(cut_sublist)
#added_mc_signal.append(cut_sublist_signal)
#added_mc_background.append(cut_sublist_background)
#added_mc_SoverB.append(cut_sublist_SoverB)
#added_mc_DoverMC.append(cut_sublist_DoverMC)
#added_mc_DmBoverS.append(cut_sublist_DmBoverS)
#added_mc_DmB.append(cut_sublist_DmB)
#def scalefactor2(data,mc,signal,dmb,title):
#return [SFbin_DoverD,SFbin_MCoverMC,SFbin_DmBoverDmB,SFbin_SoverS,SFbin,SFbin_NoBkg]
mc_sf=[]
for process_name_index in range(0,len(process_names_mc)):
mc_sf_tmp=[input_merged_mc[process_name_index][ptSFcount_index][index_yy].Clone(input_merged_mc[process_name_index][ptSFcount_index][index_yy].GetName()+'_sf'),input_merged_mc[process_name_index][ptSFcount_index][index_nn].Clone(input_merged_mc[process_name_index][ptSFcount_index][index_nn].GetName()+'_sf')]
mc_sf.append(mc_sf_tmp)
#structure: mc_sf[process_name_index][yy,nn]
mc_sf_ttbar_modup=copy_sf_lists(mc_sf,'ttbar_varup')
mc_sf_ttbar_moddown=copy_sf_lists(mc_sf,'ttbar_vardown')
norm_up=[]
norm_down=[]
for i in range(1,len(SF_bins)):
norm_up.append([])
norm_down.append([])
for process_name_index in range(0,len(process_names_mc)):
process_name=process_names_mc[process_name_index]
process_name_good=process_name.replace('+','_').replace(',','_').replace('-','_')
if process_name in process_names_ttbar:
mc_sf_ttbar_modup[process_name_index][0].Scale(1.15)
mc_sf_ttbar_modup[process_name_index][1].Scale(1.15)
mc_sf_ttbar_moddown[process_name_index][0].Scale(0.85)
mc_sf_ttbar_moddown[process_name_index][1].Scale(0.85)
if process_name in process_names_bkgnottbar:
#varup
mc_sf_modup=copy_sf_lists(mc_sf,process_name_good+'_varup')
mc_sf_modup[process_name_index][0].Scale(1.5)
mc_sf_modup[process_name_index][1].Scale(1.5)
added_modup=getadded(mc_sf_modup,data_sf,process_name_good+'_varup')
sf_modup=scalefactor2(data_sf,added_modup[0],added_modup[2],added_modup[3],process_name_good+'_varup')
#vardown
mc_sf_moddown=copy_sf_lists(mc_sf,process_name_good+'_vardown')
mc_sf_moddown[process_name_index][0].Scale(0.5)
mc_sf_moddown[process_name_index][1].Scale(0.5)
added_moddown=getadded(mc_sf_moddown,data_sf,process_name_good+'_vardown')
sf_moddown=scalefactor2(data_sf,added_moddown[0],added_moddown[2],added_moddown[3],process_name_good+'_vardown')
#differences
#print process_name_good
#print 'up'
sf_diff_histo_up=sf_modup[5].Clone('sf_diff_histo_up_'+process_name_good)
sf_diff_histo_up.Add(SFbin_NoBkg,-1.0)
for i in range(1,len(SF_bins)):
variation=sf_diff_histo_up.GetBinContent(i)
#print variation
if variation>0:
norm_up[i-1].append(variation)
else:
norm_down[i-1].append(variation)
#print 'down'
sf_diff_histo_down=sf_moddown[5].Clone('sf_diff_histo_down_'+process_name_good)
sf_diff_histo_down.Add(SFbin_NoBkg,-1.0)
for i in range(1,len(SF_bins)):
variation=sf_diff_histo_down.GetBinContent(i)
#print variation
if variation>0:
norm_up[i-1].append(variation)
else:
norm_down[i-1].append(variation)
added_ttbar_modup=getadded(mc_sf_ttbar_modup,data_sf,'ttbar_varup')
sf_ttbar_modup=scalefactor2(data_sf,added_ttbar_modup[0],added_ttbar_modup[2],added_ttbar_modup[3],'ttbar_varup')
added_ttbar_moddown=getadded(mc_sf_ttbar_moddown,data_sf,'ttbar_vardown')
sf_ttbar_moddown=scalefactor2(data_sf,added_ttbar_moddown[0],added_ttbar_moddown[2],added_ttbar_moddown[3],'ttbar_vardown')
#print 'ttbar'
sf_diff_histo_ttbar_up=sf_ttbar_modup[5].Clone('sf_diff_histo_up_ttbar')
sf_diff_histo_ttbar_up.Add(SFbin_NoBkg,-1.0)
sf_diff_histo_ttbar_down=sf_ttbar_moddown[5].Clone('sf_diff_histo_down_ttbar')
sf_diff_histo_ttbar_down.Add(SFbin_NoBkg,-1.0)
#print 'up'
for i in range(1,len(SF_bins)):
variation= sf_diff_histo_ttbar_up.GetBinContent(i)
#print variation
if variation>0:
norm_up[i-1].append(variation)