Tibeuleu/FOC_Reduction
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reformat code using python-lsp-ruff

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Thibault Barnouin
2024-07-01 15:21:52 +02:00
parent 271ecbb631
commit 5a62fa4983
13 changed files with 1271 additions and 860 deletions
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10
package/overplot_MRK463E.py
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@@ -1,6 +1,6 @@
#!/usr/bin/python3
from astropy.io import fits
import numpy as np
from astropy.io import fits
from lib.plots import overplot_chandra, overplot_pol
from matplotlib.colors import LogNorm
@@ -8,13 +8,13 @@ Stokes_UV = fits.open("./data/MRK463E/5960/MRK463E_FOC_b0.05arcsec_c0.10arcsec.f
Stokes_IR = fits.open("./data/MRK463E/WFPC2/IR_rot_crop.fits")
Stokes_Xr = fits.open("./data/MRK463E/Chandra/X_ray_crop.fits")
levels = np.geomspace(1., 99., 7)
levels = np.geomspace(1.0, 99.0, 7)
A = overplot_chandra(Stokes_UV, Stokes_Xr, norm=LogNorm())
A.plot(levels=levels, SNRp_cut=3.0, SNRi_cut=3.0, vec_scale=5, zoom=1, savename='./plots/MRK463E/Chandra_overplot.pdf')
A.plot(levels=levels, SNRp_cut=3.0, SNRi_cut=3.0, vec_scale=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.*Stokes_UV[0].header['photflam']
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, SNRp_cut=3.0, SNRi_cut=3.0, vec_scale=5, norm=LogNorm(8.5e-18, 2.5e-15), savename='./plots/MRK463E/IR_overplot.pdf')
B.plot(levels=levels, SNRp_cut=3.0, SNRi_cut=3.0, vec_scale=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")