Tibeuleu/FOC_Reduction
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Add Nan handling and 3C405 new images

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This commit is contained in:
Thibault Barnouin
2021-06-14 16:34:52 +02:00
parent 30b0d67e84
commit a259bbc0c4
54 changed files with 50 additions and 13 deletions
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10
src/FOC_reduction.py
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@@ -87,7 +87,7 @@ def main():
iterations = 10
# Error estimation
error_sub_shape = (75,75)
display_error = True
display_error = False
# Data binning
rebin = True
if rebin:
@@ -96,17 +96,17 @@ def main():
rebin_operation = 'sum' #sum or average
# Alignement
align_center = 'image' #If None will align image to image center
display_data = True
display_data = False
# Smoothing
smoothing_function = 'combine' #gaussian_after, gaussian or combine
smoothing_FWHM = None #If None, no smoothing is done
smoothing_FWHM = 1.00 #If None, no smoothing is done
smoothing_scale = 'arcsec' #pixel or arcsec
# Rotation
rotate_stokes = False #rotation to North convention can give erroneous results
rotate_data = False #rotation to North convention can give erroneous results
# Polarization map output
figname = '3C405_FOC' #target/intrument name
figtype = '' #additionnal informations
figtype = '_combine_FWHM100' #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
@@ -165,7 +165,7 @@ def main():
# Rotate images to have North up
if rotate_stokes:
ref_header = copy.deepcopy(headers[0])
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'])
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'], SNRi_cut=None)
# 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)