Tibeuleu/FOC_Reduction
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Add MKN3 observation studied by Dr. Kishimoto for comparison

Browse Source
This commit is contained in:
Thibault Barnouin
2021-06-05 12:39:29 +02:00
parent 3a086e57e3
commit fbfe85fcb6
18 changed files with 20 additions and 10 deletions
Download Patch File Download Diff File Expand all files Collapse all files

25
src/FOC_reduction.py
View File

@@ -70,9 +70,14 @@ def main():
# infiles = ['x3nl0101r_c0f.fits','x3nl0102r_c0f.fits','x3nl0103r_c0f.fits']
# globals()['plots_folder'] = "../plots/MKN3_x3nl010/"
globals()['data_folder'] = "../data/MKN78_x3nl020/"
infiles = ['x3nl0201r_c0f.fits','x3nl0202r_c0f.fits','x3nl0203r_c0f.fits']
globals()['plots_folder'] = "../plots/MKN78_x3nl020/"
globals()['data_folder'] = "../data/MKN3_x3md010/"
# infiles = ['x3md0101r_c0f.fits', 'x3md0102r_c0f.fits', 'x3md0103r_c0f.fits']
infiles = ['x3md0104r_c0f.fits', 'x3md0105r_c0f.fits', 'x3md0106r_c0f.fits']
globals()['plots_folder'] = "../plots/MKN3_x3md010/"
# globals()['data_folder'] = "../data/MKN78_x3nl020/"
# infiles = ['x3nl0201r_c0f.fits','x3nl0202r_c0f.fits','x3nl0203r_c0f.fits']
# globals()['plots_folder'] = "../plots/MKN78_x3nl020/"
## Reduction parameters
# Deconvolution
@@ -85,7 +90,7 @@ def main():
iterations = 10
# Error estimation
error_sub_shape = (75,75)
display_error = False
display_error = True
# Data binning
rebin = True
if rebin:
@@ -94,16 +99,16 @@ def main():
rebin_operation = 'sum' #sum or average
# Alignement
align_center = 'image' #If None will align image to image center
display_data = False
display_data = True
# Smoothing
smoothing_function = 'gaussian_after' #gaussian_after, gaussian or combine
smoothing_FWHM = 2 #If None, no smoothing is done
smoothing_scale = 'pixel' #pixel or arcsec
smoothing_function = 'combine' #gaussian_after, gaussian or combine
smoothing_FWHM = None #If None, no smoothing is done
smoothing_scale = 'arcsec' #pixel or arcsec
# Rotation
rotate = True #rotation to North convention can give erroneous results
# Polarization map output
figname = 'MKN78_FOC' #target/intrument name
figtype = '_gaussian_after_FWHM2_rot' #additionnal informations
figname = 'MKN3_2_FOC' #target/intrument name
figtype = '' #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