Tibeuleu/FOC_Reduction
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Change pipeline to work in counts/sec and convert on display, add 'gaussian_after' smoothing for convolution of Stokes I/Q/U

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Thibault Barnouin
2021-06-04 12:40:36 +02:00
parent da54cd6042
commit 42f33e99ad
56 changed files with 66 additions and 295 deletions
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22
src/FOC_reduction.py
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@@ -77,22 +77,21 @@ def main():
# Data binning
rebin = True
if rebin:
pxsize = 0.1
pxsize = 0.10
px_scale = 'arcsec' #pixel or arcsec
rebin_operation = 'sum' #sum or average
# Alignement
align_center = 'image' #If None will align image to image center
display_data = False
# Smoothing
smoothing_function = 'combine' #gaussian or combine
smoothing_FWHM = 0.1 #If None, no smoothing is done
smoothing_function = 'gaussian_after' #gaussian_after, gaussian or combine
smoothing_FWHM = 0.10 #If None, no smoothing is done
smoothing_scale = 'arcsec' #pixel or arcsec
# Rotation
rotate = False #rotation to North convention can give erroneous results
rotate_library = 'scipy' #scipy or pillow
# Polarization map output
figname = 'NGC1068_FOC' #target/intrument name
figtype = '_combine_FWHM010' #additionnal informations
figtype = '_gaussian_after_FWHM010' #additionnal informations
SNRp_cut = 3 #P measurments with SNR>3
SNRi_cut = 30 #I measurments with SNR>30, which implies an uncertainty in P of 4.7%.
step_vec = 1 #plot all vectors in the array. if step_vec = 2, then every other vector will be plotted
@@ -130,10 +129,7 @@ def main():
# Rotate images to have North up
if rotate:
ref_header = copy.deepcopy(headers[0])
if rotate_library.lower() in ['scipy','scipy.ndimage']:
I_stokes, Q_stokes, U_stokes, Stokes_cov, headers = proj_red.rotate_sc_Stokes(I_stokes, Q_stokes, U_stokes, Stokes_cov, headers, -ref_header['orientat'])
if rotate_library.lower() in ['pillow','pil']:
I_stokes, Q_stokes, U_stokes, Stokes_cov, headers = proj_red.rotate_PIL_Stokes(I_stokes, Q_stokes, U_stokes, Stokes_cov, headers, -ref_header['orientat'])
I_stokes, Q_stokes, U_stokes, Stokes_cov, headers = proj_red.rotate_Stokes(I_stokes, Q_stokes, U_stokes, Stokes_cov, headers, -ref_header['orientat'])
# Compute polarimetric parameters (polarization degree and angle).
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)
@@ -144,12 +140,12 @@ def main():
## Step 5:
# Plot polarization map (Background is either total Flux, Polarization degree or Polarization degree error).
proj_plots.polarization_map(copy.deepcopy(Stokes_test), SNRp_cut=SNRp_cut, SNRi_cut=SNRi_cut, step_vec=step_vec, savename=figname+figtype, plots_folder=plots_folder, display=None)
#proj_plots.polarization_map(copy.deepcopy(Stokes_test), SNRp_cut=SNRp_cut, SNRi_cut=SNRi_cut, step_vec=step_vec, savename=figname+figtype+"_P", plots_folder=plots_folder, display='Pol_deg')
#proj_plots.polarization_map(copy.deepcopy(Stokes_test), SNRp_cut=SNRp_cut, SNRi_cut=SNRi_cut, step_vec=step_vec, savename=figname+figtype+"_P_err", plots_folder=plots_folder, display='Pol_deg_err')
proj_plots.polarization_map(copy.deepcopy(Stokes_test), SNRp_cut=SNRp_cut, SNRi_cut=SNRi_cut, step_vec=step_vec, savename=figname+figtype+"_P", plots_folder=plots_folder, display='Pol_deg')
proj_plots.polarization_map(copy.deepcopy(Stokes_test), SNRp_cut=SNRp_cut, SNRi_cut=SNRi_cut, step_vec=step_vec, savename=figname+figtype+"_P_err", plots_folder=plots_folder, display='Pol_deg_err')
proj_plots.polarization_map(copy.deepcopy(Stokes_test), SNRp_cut=SNRp_cut, SNRi_cut=SNRi_cut, step_vec=step_vec, savename=figname+figtype+"_SNRi", plots_folder=plots_folder, display='SNRi')
proj_plots.polarization_map(copy.deepcopy(Stokes_test), SNRp_cut=SNRp_cut, SNRi_cut=SNRi_cut, step_vec=step_vec, savename=figname+figtype+"_SNRp", plots_folder=plots_folder, display='SNRp')
return 0
#if __name__ == "__main__":
# sys.exit(main())
if __name__ == "__main__":
sys.exit(main())