Tibeuleu/FOC_Reduction
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small fixes and improvments

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This commit is contained in:
Thibault Barnouin
2024-10-17 17:05:35 +02:00
parent bd7cad46a1
commit f6d62bff73
8 changed files with 119 additions and 174 deletions
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6
package/src/Combine.py
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@@ -173,7 +173,7 @@ def main(infiles, target=None, output_dir="./data/"):
# Reduction parameters
kwargs = {}
# Polarization map output
kwargs["SNRp_cut"] = 3.0
kwargs["P_cut"] = 0.99
kwargs["SNRi_cut"] = 1.0
kwargs["flux_lim"] = 1e-19, 3e-17
kwargs["scale_vec"] = 5
@@ -186,9 +186,7 @@ def main(infiles, target=None, output_dir="./data/"):
new_infiles = []
for i, group in enumerate(grouped_infiles):
new_infiles.append(
FOC_reduction(target=target + "-" + str(i + 1), infiles=["/".join([data_folder, file]) for file in group], interactive=True)[0]
)
new_infiles.append(FOC_reduction(target=target + "-" + str(i + 1), infiles=["/".join([data_folder, file]) for file in group], interactive=True)[0])
infiles = new_infiles

48
package/src/overplot_IC5063.py
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@@ -11,46 +11,46 @@ from lib.plots import overplot_pol, overplot_radio
from matplotlib.colors import LogNorm
Stokes_UV = fits.open("./data/IC5063/5918/IC5063_FOC_b0.10arcsec_c0.20arcsec.fits")
Stokes_18GHz = fits.open("./data/IC5063/radio/IC5063_18GHz.fits")
Stokes_24GHz = fits.open("./data/IC5063/radio/IC5063_24GHz.fits")
Stokes_103GHz = fits.open("./data/IC5063/radio/IC5063_103GHz.fits")
Stokes_229GHz = fits.open("./data/IC5063/radio/IC5063_229GHz.fits")
Stokes_357GHz = fits.open("./data/IC5063/radio/IC5063_357GHz.fits")
# Stokes_18GHz = fits.open("./data/IC5063/radio/IC5063_18GHz.fits")
# Stokes_24GHz = fits.open("./data/IC5063/radio/IC5063_24GHz.fits")
# Stokes_103GHz = fits.open("./data/IC5063/radio/IC5063_103GHz.fits")
# Stokes_229GHz = fits.open("./data/IC5063/radio/IC5063_229GHz.fits")
# Stokes_357GHz = fits.open("./data/IC5063/radio/IC5063_357GHz.fits")
# Stokes_S2 = fits.open("./data/IC5063/POLARIZATION_COMPARISON/S2_rot_crop.fits")
Stokes_IR = fits.open("./data/IC5063/IR/u2e65g01t_c0f_rot.fits")
# levelsMorganti = np.array([1.,2.,3.,8.,16.,32.,64.,128.])
levelsMorganti = np.logspace(-0.1249, 1.97, 7) / 100.0
# levelsMorganti = np.logspace(-0.1249, 1.97, 7) / 100.0
levels18GHz = levelsMorganti * Stokes_18GHz[0].data.max()
A = overplot_radio(Stokes_UV, Stokes_18GHz)
A.plot(levels=levels18GHz, P_cut=2.0, SNRi_cut=10.0, savename="./plots/IC5063/18GHz_overplot.pdf", scale_vec=None)
# levels18GHz = levelsMorganti * Stokes_18GHz[0].data.max()
# A = overplot_radio(Stokes_UV, Stokes_18GHz)
# A.plot(levels=levels18GHz, P_cut=2.0, SNRi_cut=10.0, savename="./plots/IC5063/18GHz_overplot.pdf", scale_vec=None)
levels24GHz = levelsMorganti * Stokes_24GHz[0].data.max()
B = overplot_radio(Stokes_UV, Stokes_24GHz)
B.plot(levels=levels24GHz, P_cut=2.0, SNRi_cut=10.0, savename="./plots/IC5063/24GHz_overplot.pdf", scale_vec=None)
# levels24GHz = levelsMorganti * Stokes_24GHz[0].data.max()
# B = overplot_radio(Stokes_UV, Stokes_24GHz)
# B.plot(levels=levels24GHz, P_cut=2.0, SNRi_cut=10.0, savename="./plots/IC5063/24GHz_overplot.pdf", scale_vec=None)
levels103GHz = levelsMorganti * Stokes_103GHz[0].data.max()
C = overplot_radio(Stokes_UV, Stokes_103GHz)
C.plot(levels=levels103GHz, P_cut=2.0, SNRi_cut=10.0, savename="./plots/IC5063/103GHz_overplot.pdf", scale_vec=None)
# levels103GHz = levelsMorganti * Stokes_103GHz[0].data.max()
# C = overplot_radio(Stokes_UV, Stokes_103GHz)
# C.plot(levels=levels103GHz, P_cut=2.0, SNRi_cut=10.0, savename="./plots/IC5063/103GHz_overplot.pdf", scale_vec=None)
levels229GHz = levelsMorganti * Stokes_229GHz[0].data.max()
D = overplot_radio(Stokes_UV, Stokes_229GHz)
D.plot(levels=levels229GHz, P_cut=2.0, SNRi_cut=10.0, savename="./plots/IC5063/229GHz_overplot.pdf", scale_vec=None)
# levels229GHz = levelsMorganti * Stokes_229GHz[0].data.max()
# D = overplot_radio(Stokes_UV, Stokes_229GHz)
# D.plot(levels=levels229GHz, P_cut=2.0, SNRi_cut=10.0, savename="./plots/IC5063/229GHz_overplot.pdf", scale_vec=None)
levels357GHz = levelsMorganti * Stokes_357GHz[0].data.max()
E = overplot_radio(Stokes_UV, Stokes_357GHz)
E.plot(levels=levels357GHz, P_cut=2.0, SNRi_cut=10.0, savename="./plots/IC5063/357GHz_overplot.pdf", scale_vec=None)
# levels357GHz = levelsMorganti * Stokes_357GHz[0].data.max()
# E = overplot_radio(Stokes_UV, Stokes_357GHz)
# E.plot(levels=levels357GHz, P_cut=2.0, SNRi_cut=10.0, savename="./plots/IC5063/357GHz_overplot.pdf", scale_vec=None)
# F = overplot_pol(Stokes_UV, Stokes_S2)
# F.plot(P_cut=3.0, SNRi_cut=80.0, savename='./plots/IC5063/S2_overplot.pdf', norm=LogNorm(vmin=5e-20,vmax=5e-18))
G = overplot_pol(Stokes_UV, Stokes_IR, cmap="inferno")
G.plot(
P_cut=2.0,
SNRi_cut=10.0,
P_cut=0.99,
SNRi_cut=1.0,
savename="./plots/IC5063/IR_overplot.pdf",
scale_vec=None,
norm=LogNorm(Stokes_IR[0].data.max() * Stokes_IR[0].header["photflam"] / 1e3, Stokes_IR[0].data.max() * Stokes_IR[0].header["photflam"]),
cmap="inferno_r",
cmap="inferno",
)

35
package/src/overplot_MRK463E.py
View File

@@ -11,16 +11,33 @@ from lib.plots import overplot_chandra, overplot_pol
from matplotlib.colors import LogNorm
Stokes_UV = fits.open("./data/MRK463E/5960/MRK463E_FOC_b0.05arcsec_c0.10arcsec.fits")
Stokes_IR = fits.open("./data/MRK463E/WFPC2/IR_rot_crop.fits")
Stokes_Xr = fits.open("./data/MRK463E/Chandra/X_ray_crop.fits")
# Stokes_IR = fits.open("./data/MRK463E/WFPC2/IR_rot_crop.fits")
# Stokes_Xr = fits.open("./data/MRK463E/Chandra/X_ray_crop.fits")
Radio = fits.open("./data/MRK463E/EMERLIN/Voorwerpjes_1356+1822_1356+1822_uniform-image.fits")
levels = np.geomspace(1.0, 99.0, 7)
# levels = np.geomspace(1.0, 99.0, 7)
A = overplot_chandra(Stokes_UV, Stokes_Xr, norm=LogNorm())
A.plot(levels=levels, P_cut=0.99, SNRi_cut=1.0, scale_vec=5, zoom=1, savename="./plots/MRK463E/Chandra_overplot.pdf")
A.write_to(path1="./data/MRK463E/FOC_data_Chandra.fits", path2="./data/MRK463E/Chandra_data.fits", suffix="aligned")
# A = overplot_chandra(Stokes_UV, Stokes_Xr, norm=LogNorm())
# A.plot(levels=levels, P_cut=0.99, SNRi_cut=1.0, scale_vec=5, zoom=1, savename="./plots/MRK463E/Chandra_overplot.pdf")
# A.write_to(path1="./data/MRK463E/FOC_data_Chandra.fits", path2="./data/MRK463E/Chandra_data.fits", suffix="aligned")
# levels = np.array([0.8, 2, 5, 10, 20, 50]) / 100.0 * Stokes_UV[0].header["photflam"]
# B = overplot_pol(Stokes_UV, Stokes_IR, norm=LogNorm())
# B.plot(levels=levels, P_cut=0.99, SNRi_cut=1.0, scale_vec=5, norm=LogNorm(8.5e-18, 2.5e-15), savename="./plots/MRK463E/IR_overplot.pdf")
# B.write_to(path1="./data/MRK463E/FOC_data_WFPC.fits", path2="./data/MRK463E/WFPC_data.fits", suffix="aligned")
levels = np.array([0.8, 2, 5, 10, 20, 50]) / 100.0 * Stokes_UV[0].header["photflam"]
B = overplot_pol(Stokes_UV, Stokes_IR, norm=LogNorm())
B.plot(levels=levels, P_cut=0.99, SNRi_cut=1.0, scale_vec=5, norm=LogNorm(8.5e-18, 2.5e-15), savename="./plots/MRK463E/IR_overplot.pdf")
B.write_to(path1="./data/MRK463E/FOC_data_WFPC.fits", path2="./data/MRK463E/WFPC_data.fits", suffix="aligned")
C = overplot_pol(Stokes_UV, Radio, norm=LogNorm())
C.other_im.set(norm=LogNorm(1e-4, 2e-2))
C.plot(
levels=levels,
P_cut=0.999,
SNRi_cut=5.0,
scale_vec=3,
norm=LogNorm(1e-4, 2e-2),
cmap="inferno_r",
width=0.5,
linewidth=0.5,
savename="./plots/MRK463E/EMERLIN_overplot.pdf",
)
C.write_to(path1="./data/MRK463E/FOC_data_EMERLIN.fits", path2="./data/MRK463E/EMERLIN_data.fits", suffix="aligned")

6
package/src/overplot_NGC1068.py
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@@ -30,10 +30,10 @@ A.add_vector(
A.other_wcs.celestial.wcs.crpix - (1.0, 1.0),
pol_deg=0.124,
pol_ang=100.7,
width=2,
linewidth=2,
width=2.0,
linewidth=1.0,
scale=1.0 / (A.px_scale * 6.0),
edgecolor="b",
edgecolor="w",
color="b",
label=r"IXPE torus: P = $12.4 (\pm 3.6)$%, PA = $100.7 (\pm 8.3)$°",
)