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Merged
thibautlouis merged 2 commits into from
Apr 2, 2026
Merged

Merry spt #206

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3f593fc
Add compare_Bbls script
merryduparc Apr 1, 2026
cc783a2
Update spt_plot_spectra with binning residuals
merryduparc Apr 1, 2026
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82 changes: 82 additions & 0 deletions project/SPT_dev/compare_Bbls.py
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Original file line number Diff line number Diff line change
@@ -0,0 +1,82 @@
from pspy import so_map, so_spectra, pspy_utils, so_mcm, so_dict
import numpy as np
import sys
import candl
import spt_candl_data
from matplotlib import pyplot as plt

d = so_dict.so_dict()
d.read_from_file(sys.argv[1])

spin_pairs = ["spin0xspin0", "spin0xspin2", "spin2xspin0", "spin2xspin2"]
spectra = ["TT", "TE", "TB", "ET", "BT", "EE", "EB", "BE", "BB"]
l, Dl = so_spectra.read_ps("/pscratch/sd/m/merrydup/LAT_ISO/spectra/cmb.dat", spectra=spectra)
LMAX = d["lmax"]
_, _, ell, _ = pspy_utils.read_binning_file(d["binning_file"], lmax=LMAX)


mcms_dir = "mcms/"

# Load SPT window functions from candl data
candl_like = candl.Like(spt_candl_data.SPT3G_D1_TnE)
window_function_dict = {spec_to_load: candl_like.window_functions[spec_id] for spec_id, spec_to_load in enumerate(candl_like.spec_order)}

# SPT 90GHz is named 95 in Thibaut's paramfile :(
freq_mapping = {
"90": "95",
"150": "150",
"220": "220",
}

# Load Bbl from pipeline outputs (mcms dir) and compute binned theory spectra
Bbl_dict = {}
Dl_wf = {} # spectra binned with SPT window function
Dl_bbl = {} # spectra binned with Bbl
for freqs in [["90", "90"], ["90", "150"], ["90", "220"], ["150", "150"], ["150", "220"], ["220", "220"]]:
freqs_str = 'x'.join(freqs)

mbb_inv, Bbl = so_mcm.read_coupling(
prefix=f"{mcms_dir}/spt_{int(freq_mapping[freqs[0]]):03d}xspt_{int(freq_mapping[freqs[1]]):03d}",
spin_pairs=spin_pairs
)

Bbl_dict[f"TT {freqs_str}"] = Bbl["spin0xspin0"]
Bbl_dict[f"TE {freqs_str}"] = Bbl["spin0xspin2"]

# Load EE spin2xspin2
nbins, my_lmax = int(Bbl["spin2xspin2"].shape[0]/4), int(Bbl["spin2xspin2"].shape[1]/4)
Bbl_dict[f"EE {freqs_str}"] = Bbl["spin2xspin2"][:nbins, :my_lmax]

for spec in ["TT", "TE", "EE"]:
Dl_wf[f"{spec} {freqs_str}"] = np.dot(window_function_dict[f"{spec} {freqs_str}"].T, Dl[spec][:window_function_dict[f"{spec} {freqs_str}"].shape[0]])
Dl_bbl[f"{spec} {freqs_str}"] = np.dot(Bbl_dict[f"{spec} {freqs_str}"], Dl[spec][:LMAX])

# SPT has different lmin and lmax depending on spectra and idk how to get these from candl_data so I had to figure out these
lmin_id = {
"TT":8,
"TE":8,
"EE":8,
}
lmax_id = {
"TT":60,
"TE":71,
"EE":71,
}

for freqs in [["90", "90"], ["90", "150"], ["90", "220"], ["150", "150"], ["150", "220"], ["220", "220"]]:
freqs_str = 'x'.join(freqs)
for spec in ["TT", "TE", "EE"]:
fig, ax = plt.subplots(2, figsize=(8, 6))
ax[0].plot(ell[lmin_id[spec]:lmax_id[spec]], Dl_wf[f"{spec} {freqs_str}"][:61], label="win func SPT * theory")
ax[0].plot(ell[lmin_id[spec]:lmax_id[spec]], Dl_bbl[f"{spec} {freqs_str}"][lmin_id[spec]:lmax_id[spec]], label="bbl * theory")
ax[0].legend()
ax[0].set_ylabel(fr"$D_\ell^{{{spec}}}$", fontsize=15)

Dls_res = Dl_wf[f"{spec} {freqs_str}"][:61] - Dl_bbl[f"{spec} {freqs_str}"][lmin_id[spec]:lmax_id[spec]]

ax[1].plot(ell[lmin_id[spec]:lmax_id[spec]], Dls_res, label="win func SPT * theory - bbl * theory")
ax[1].legend()
ax[1].set_ylabel(fr"$\Delta D_\ell^{{{spec}}}$", fontsize=15)

np.savetxt(f"{mcms_dir}/res_bbl_{spec}_{freqs_str}.txt", np.array([ell[lmin_id[spec]:lmax_id[spec]], Dls_res]).T)
plt.savefig(f"plots/{spec}_{freqs_str}_compare_binning")
63 changes: 31 additions & 32 deletions project/SPT_dev/spt_plot_spectra.py
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Original file line number Diff line number Diff line change
Expand Up @@ -30,7 +30,6 @@ def correct_spt_transfer_function(lb, ps, spec_name, Bbl):

name = spec_name.replace("spt_", "")
fa, fb = name.split("x")
print(fa, fb)

tf = {}
for mode in ["tt", "te", "et", "ee"]:
Expand All @@ -57,7 +56,6 @@ def correct_spt_additive_bias(lb, ps, spec_name, Bbl):

name = spec_name.replace("spt_", "")
fa, fb = name.split("x")
print(fa, fb)

additive_bias = {}
for mode in ["tt", "te", "et", "ee"]:
Expand Down Expand Up @@ -118,16 +116,16 @@ def correct_spt_additive_bias(lb, ps, spec_name, Bbl):

for spec in ["TB", "EB", "BB"]:
for spec_name in spec_name_list:
plt.plot(l_th[:3500], ps_th[spec][:3500], color="black")
plt.plot(lb, Db_dict_bias_tf_corr[spec_name][spec], label=f"{spec} {spec_name} (uncorrected)")
plt.legend()
plt.savefig(f"{plot_dir}/{spec_name}_{spec}.png", bbox_inches="tight")
plt.clf()
plt.close()

plt.plot(l_th[:3500], ps_th[spec][:3500], color="black")
plt.plot(lb, Db_dict_bias_tf_corr[spec_name][spec], label=f"{spec} {spec_name} (uncorrected)")
plt.legend()
plt.savefig(f"{plot_dir}/{spec_name}_{spec}.png", bbox_inches="tight")
plt.clf()
plt.close()

for spec in ["TT", "TE", "EE"]:
for spec_name in spec_name_list:
fig, ax = plt.subplots(3, sharex=True, figsize=(9, 8), gridspec_kw={'hspace':0.1})

spec_to_plot = f"{spec} {camphuis_conv[spec_name]}"
ix_of_spec = candl_like.spec_order.index(spec_to_plot)
Expand All @@ -143,30 +141,31 @@ def correct_spt_additive_bias(lb, ps, spec_name, Bbl):
lb_redo, Db_redo = lb[id_redo], Db_dict[spec_name][spec][id_redo]
Db_redo_tf_corr, Db_redo_bias_tf_corr = Db_dict_tf_corr[spec_name][spec][id_redo], Db_dict_bias_tf_corr[spec_name][spec][id_redo]

plt.figure(figsize=(12,8))

plt.subplot(311)
if spec in ["TT", "EE"]:
plt.semilogy()
plt.errorbar(l_spt, Db, sigmab, lw=0.5, marker="o", ms=3, elinewidth=1, label=f"SPT {spec_name}")
plt.xlabel(r"$\ell$", fontsize=14)
plt.ylabel(r"$D_\ell$", fontsize=14)
plt.plot(lb_redo, Db_redo_bias_tf_corr, label=f"SPT redo {spec_name}, bias tf corrected")

plt.legend()
plt.subplot(312)
plt.errorbar(l_spt, l_spt*0)
plt.errorbar(l_spt, Db-Db_redo_bias_tf_corr, sigmab, lw=0.5, marker="o", ms=3, elinewidth=1, label=f"SPT - SPT redo, bias tf corrected {spec_name}")
plt.legend()
plt.xlabel(r"$\ell$", fontsize=14)
plt.ylabel(r"$D_\ell - D^{\rm redo}_\ell$", fontsize=14)

plt.subplot(313)
plt.errorbar(l_spt, Db/Db_redo_bias_tf_corr, lw=0.5, marker="o", ms=3, elinewidth=1, label=f"SPT/ SPT redo {spec_name}")
plt.xlabel(r"$\ell$", fontsize=14)
plt.ylabel(r"$D_\ell / D^{\rm redo}_\ell$", fontsize=14)

plt.ylim(0.95, 1.05)
ax[0].semilogy()
ax[0].errorbar(l_spt, Db, sigmab, lw=0.5, marker="o", ms=3, elinewidth=1, label=f"SPT {spec_name}")
ax[0].set_xlabel(r"$\ell$", fontsize=14)
ax[0].set_ylabel(r"$D_\ell$", fontsize=14)
ax[0].plot(lb_redo, Db_redo_bias_tf_corr, label=f"SPT redo {spec_name}, bias tf corrected")
ax[0].legend()

try:
l_res, dl_res = np.loadtxt(f"mcms/res_bbl_{spec}_{camphuis_conv[spec_name]}.txt").T
ax[1].plot(l_res, dl_res, label="Res Bbls", color='red')
except:
log.info(f"Couldn't plot {spec_to_plot} Bbl res")

ax[1].errorbar(l_spt, l_spt*0)
ax[1].errorbar(l_spt, Db-Db_redo_bias_tf_corr, sigmab, lw=0.5, marker="o", ms=3, elinewidth=1, label=f"SPT - SPT redo, bias tf corrected {spec_name}")
ax[1].legend()
ax[1].set_xlabel(r"$\ell$", fontsize=14)
ax[1].set_ylabel(r"$D_\ell - D^{\rm redo}_\ell$", fontsize=14)

ax[2].errorbar(l_spt, Db/Db_redo_bias_tf_corr, lw=0.5, marker="o", ms=3, elinewidth=1, label=f"SPT/ SPT redo {spec_name}")
ax[2].set_xlabel(r"$\ell$", fontsize=14)
ax[2].set_ylabel(r"$D_\ell / D^{\rm redo}_\ell$", fontsize=14)

ax[2].set_ylim(0.95, 1.05)
plt.savefig(f"{plot_dir}/{spec_name}_{spec}.png", bbox_inches="tight")
plt.clf()
plt.close()