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Apply the atmospheric scaling in temperature, not intensity #328

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Mar 20, 2020
Merged

Apply the atmospheric scaling in temperature, not intensity #328

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15 changes: 14 additions & 1 deletion src/toast/pipeline_tools/atm.py
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Original file line number Diff line number Diff line change
Expand Up @@ -6,6 +6,7 @@
import os

import numpy as np
from scipy.constants import h, k

from ..timing import function_timer, Timer
from ..utils import Logger, Environment
Expand All @@ -23,6 +24,7 @@


XAXIS, YAXIS, ZAXIS = np.eye(3)
TCMB = 2.725


def add_atmosphere_args(parser):
Expand Down Expand Up @@ -283,6 +285,9 @@ def scale_atmosphere_by_frequency(
if not args.simulate_atmosphere:
return

if freq is None:
raise RuntimeError("You must supply the nominal frequency")

log = Logger.get()
if comm.world_rank == 0 and verbose:
log.info("Scaling atmosphere by frequency")
Expand Down Expand Up @@ -357,7 +362,15 @@ def scale_atmosphere_by_frequency(
# Interpolate the absorption coefficient to do a top hat
# integral across the bandpass
det_freqs = np.linspace(center - width / 2, center + width / 2, nstep)
absorption_det = np.mean(np.interp(det_freqs, freqs, absorption))
absorption_det = np.interp(det_freqs, freqs, absorption)
# From brightness to thermodynamic units
x = h * det_freqs * 1e9 / k / TCMB
rj2cmb = (x / (np.exp(x / 2) - np.exp(-x / 2))) ** -2
# Normalize to unity at 150GHz
rj2cmb *= 0.5763279042527544
absorption_det *= rj2cmb
# Average across the bandpass
absorption_det = np.mean(absorption_det)
cachename = "{}_{}".format(cache_name, det)
ref = tod.cache.reference(cachename)
ref *= absorption_det
Expand Down