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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35
package/src/overplot_MRK463E.py
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@@ -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")