#!/usr/bin/python3 from astropy.io import fits import numpy as np from lib.plots import overplot_radio, overplot_pol 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_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. levels18GHz = levelsMorganti*Stokes_18GHz[0].data.max() A = overplot_radio(Stokes_UV, Stokes_18GHz) A.plot(levels=levels18GHz, SNRp_cut=2.0, SNRi_cut=10.0, savename='./plots/IC5063/18GHz_overplot.pdf', vec_scale=None) levels24GHz = levelsMorganti*Stokes_24GHz[0].data.max() B = overplot_radio(Stokes_UV, Stokes_24GHz) B.plot(levels=levels24GHz, SNRp_cut=2.0, SNRi_cut=10.0, savename='./plots/IC5063/24GHz_overplot.pdf', vec_scale=None) levels103GHz = levelsMorganti*Stokes_103GHz[0].data.max() C = overplot_radio(Stokes_UV, Stokes_103GHz) C.plot(levels=levels103GHz, SNRp_cut=2.0, SNRi_cut=10.0, savename='./plots/IC5063/103GHz_overplot.pdf', vec_scale=None) levels229GHz = levelsMorganti*Stokes_229GHz[0].data.max() D = overplot_radio(Stokes_UV, Stokes_229GHz) D.plot(levels=levels229GHz, SNRp_cut=2.0, SNRi_cut=10.0, savename='./plots/IC5063/229GHz_overplot.pdf', vec_scale=None) levels357GHz = levelsMorganti*Stokes_357GHz[0].data.max() E = overplot_radio(Stokes_UV, Stokes_357GHz) E.plot(levels=levels357GHz, SNRp_cut=2.0, SNRi_cut=10.0, savename='./plots/IC5063/357GHz_overplot.pdf', vec_scale=None) # F = overplot_pol(Stokes_UV, Stokes_S2) # F.plot(SNRp_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(SNRp_cut=2.0, SNRi_cut=10.0, savename='./plots/IC5063/IR_overplot.pdf', vec_scale=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')