Tibeuleu/FOC_Reduction
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reproduce contours from Morganti2018

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This commit is contained in:
Thibault Barnouin
2022-03-15 14:32:11 +01:00
parent 929c0dc623
commit 9a297f391e
6 changed files with 24 additions and 11 deletions
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19
src/lib/plots.py
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@@ -580,7 +580,7 @@ class align_maps(object):
def on_close_align(self, event):
self.aligned = True
print(self.get_aligned_wcs())
#print(self.get_aligned_wcs())
def align(self):
self.fig.canvas.draw()
@@ -595,7 +595,7 @@ class overplot_maps(align_maps):
Class to overplot maps from different observations.
Inherit from class align_maps in order to get the same WCS on both maps.
"""
def overplot(self, other_vmin, other_vmax, other_num, SNRp_cut=3., SNRi_cut=30.):
def overplot(self, other_levels, SNRp_cut=3., SNRi_cut=30., savename=None):
#Get Data
obj = self.Stokes_UV[0].header['targname']
stkI = self.Stokes_UV[np.argmax([self.Stokes_UV[i].header['datatype']=='I_stokes' for i in range(len(self.Stokes_UV))])]
@@ -606,6 +606,10 @@ class overplot_maps(align_maps):
other_data = self.other_map[0].data
other_unit = self.other_map[0].header['bunit']
other_convert = 1.
if other_unit.lower() == 'jy/beam':
other_unit = r"mJy/Beam"
other_convert = 1e3
other_freq = self.other_map[0].header['crval3']
convert_flux = self.Stokes_UV[0].header['photflam']
@@ -639,15 +643,18 @@ class overplot_maps(align_maps):
self.ax.autoscale(False)
#Display other map as contours
other_cont = self.ax.contour(other_data, transform=self.ax.get_transform(self.wcs_other), levels=np.linspace(other_vmin, other_vmax, other_num), colors='grey')
other_cont = self.ax.contour(other_data*other_convert, transform=self.ax.get_transform(self.wcs_other), levels=other_levels*other_convert, colors='grey')
self.ax.clabel(other_cont, inline=True, fontsize=8)
self.ax.set(xlabel="Right Ascension (J2000)", ylabel="Declination (J2000)", title="HST/FOC UV polarization map of {0:s} overplotted with {1:.2e}Hz map in {2:s}.".format(obj, other_freq, other_unit))
self.ax.set(xlabel="Right Ascension (J2000)", ylabel="Declination (J2000)", title="HST/FOC UV polarization map of {0:s} overplotted with {1:.2f}GHz map in {2:s}.".format(obj, other_freq*1e-9, other_unit))
if not(savename is None):
self.fig2.savefig(savename,bbox_inches='tight',dpi=200)
self.fig2.canvas.draw()
def plot(self, other_vmin, other_vmax, other_num, SNRp_cut=3., SNRi_cut=30.) -> None:
def plot(self, levels, SNRp_cut=3., SNRi_cut=30., savename=None) -> None:
self.align()
if self.aligned:
self.overplot(other_vmin, other_vmax, other_num, SNRp_cut=SNRp_cut, SNRi_cut=SNRi_cut)
self.overplot(other_levels=levels, SNRp_cut=SNRp_cut, SNRi_cut=SNRi_cut, savename=savename)
plt.show(block=True)

16
src/lib/test_overplot.py Normal file → Executable file
View File

@@ -1,14 +1,20 @@
#!/usr/bin/python3
from astropy.io import fits
import numpy as np
from plots import overplot_maps
Stokes_UV = fits.open("../../data/IC5063_x3nl030/IC5063_FOC_combine_FWHM020.fits")
Stokes_18GHz = fits.open("../../data/IC5063_x3nl030/radio/IC5063.18GHz.fits")
Stokes_24GHz = fits.open("../../data/IC5063_x3nl030/radio/IC5063.24GHz.fits")
A = overplot_maps(Stokes_UV, Stokes_18GHz)
A.plot(5e-3, 5e-2, 8, SNRp_cut=6.0, SNRi_cut=180.0)
A.fig2.savefig('../../plots/IC5063_x3nl030/1.8GHz_overplot.png',bbox_inches='tight',overwrite=True)
levelsMorganti = np.array([1.,2.,3.,8.,16.,32.,64.,128.])
#levels18GHz = np.array([0.6, 1.5, 3, 6, 12, 24, 48, 96])/100.*Stokes_18GHz[0].data.max()
levels18GHz = levelsMorganti*0.28*1e-3
A = overplot_maps(Stokes_UV, Stokes_18GHz)
A.plot(levels=levels18GHz, SNRp_cut=6.0, SNRi_cut=180.0, savename='../../plots/IC5063_x3nl030/18GHz_overplot.png')
#levels24GHz = np.array([1.,1.5, 3, 6, 12, 24, 48, 96])/100.*Stokes_24GHz[0].data.max()
levels24GHz = levelsMorganti*0.46*1e-3
B = overplot_maps(Stokes_UV, Stokes_24GHz)
B.plot(1e-3, 3e-2, 8, SNRp_cut=6.0, SNRi_cut=180.0)
B.fig2.savefig('../../plots/IC5063_x3nl030/2.4GHz_overplot.png',bbox_inches='tight',overwrite=True)
B.plot(levels=levels24GHz, SNRp_cut=6.0, SNRi_cut=180.0, savename='../../plots/IC5063_x3nl030/24GHz_overplot.png')