Tibeuleu/FOC_Reduction
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modify lib/plots.py for better overplotting tool

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Thibault Barnouin
2023-12-08 17:28:39 +01:00
parent 824c63d0bc
commit 4df270d56d
4 changed files with 89 additions and 34 deletions
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src/overplot_MRK463E.py Executable file
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#!/usr/bin/python3
from os import system as command
from astropy.io import fits
import numpy as np
from copy import deepcopy
from lib.plots import overplot_chandra, overplot_pol, align_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/4913/primary/acisf04913N004_cntr_img2.fits")
levels = np.geomspace(1.,99.,10)
A = overplot_chandra(Stokes_UV, Stokes_Xr)
A.plot(levels=levels, SNRp_cut=3.0, SNRi_cut=20.0, zoom=1, savename='./plots/MRK463E/Chandra_overplot.pdf')
B = overplot_chandra(Stokes_UV, Stokes_Xr, norm=LogNorm())
B.plot(levels=levels, SNRp_cut=3.0, SNRi_cut=20.0, zoom=1, savename='./plots/MRK463E/Chandra_overplot_forced.pdf')
C = overplot_pol(Stokes_UV, Stokes_IR)
C.plot(SNRp_cut=3.0, SNRi_cut=20.0, savename='./plots/MRK463E/IR_overplot.pdf')
D = overplot_pol(Stokes_UV, Stokes_IR, norm=LogNorm())
D.plot(SNRp_cut=3.0, SNRi_cut=30.0, vec_scale=2, norm=LogNorm(1e-18,1e-15), savename='./plots/MRK463E/IR_overplot_forced.pdf')