Tibeuleu/FOC_Reduction
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add overplot and crop classes in lib.plots

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Thibault Barnouin
2022-03-31 09:26:54 +02:00
parent 8d4c33603a
commit 707fd9823f
12 changed files with 243 additions and 78 deletions
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13
src/FOC_reduction.py
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@@ -184,15 +184,16 @@ def main():
P, debiased_P, s_P, s_P_P, PA, s_PA, s_PA_P = proj_red.compute_pol(I_stokes, Q_stokes, U_stokes, Stokes_cov, headers)
## Step 4:
# crop to desired region of interest (roi)
# stokescrop = proj_plots.crop_map(deepcopy(stokes_test), deepcopy(data_mask), snrp_cut=snrp_cut, snri_cut=snri_cut)
# stokescrop.run()
# stokes_crop, data_mask = stokescrop.crop()
## Step 5:
# Save image to FITS.
Stokes_test = proj_fits.save_Stokes(I_stokes, Q_stokes, U_stokes, Stokes_cov, P, debiased_P, s_P, s_P_P, PA, s_PA, s_PA_P, headers, data_mask, figname+figtype, data_folder=data_folder, return_hdul=True)
## Step 5:
# crop to desired region of interest (roi)
stokescrop = proj_plots.crop_Stokes(deepcopy(Stokes_test))
stokescrop.crop()
stokescrop.writeto(data_folder+figname+figtype+"_crop.fits")
stokes_crop, data_mask = stokescrop.hdul_crop, stokescrop.data_mask
# Plot polarization map (Background is either total Flux, Polarization degree or Polarization degree error).
if px_scale.lower() not in ['full','integrate']:
proj_plots.polarization_map(deepcopy(Stokes_test), data_mask, rectangle=None, SNRp_cut=SNRp_cut, SNRi_cut=SNRi_cut, step_vec=step_vec, savename=figname+figtype, plots_folder=plots_folder, display=None)