Tibeuleu/FOC_Reduction
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Update intermediate display for IC5063

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Thibault Barnouin
2022-04-25 16:35:45 +02:00
parent eaec0729c3
commit c8f6a47d15
4 changed files with 11 additions and 11 deletions
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plots/IC5063_x3nl030/IC5063_FOC_POL0_crop_region.png
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plots/IC5063_x3nl030/IC5063_FOC_errors_POL0_background_location.png
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plots/IC5063_x3nl030/IC5063_FOC_errors_background_flux.png
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src/FOC_reduction.py
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@@ -20,17 +20,17 @@ from astropy.wcs import WCS
def main():
##### User inputs
## Input and output locations
globals()['data_folder'] = "../data/NGC1068_x274020/"
infiles = ['x274020at.c0f.fits','x274020bt.c0f.fits','x274020ct.c0f.fits',
'x274020dt.c0f.fits','x274020et.c0f.fits','x274020ft.c0f.fits',
'x274020gt.c0f.fits','x274020ht.c0f.fits','x274020it.c0f.fits']
psf_file = 'NGC1068_f253m00.fits'
globals()['plots_folder'] = "../plots/NGC1068_x274020/"
# globals()['data_folder'] = "../data/NGC1068_x274020/"
# infiles = ['x274020at.c0f.fits','x274020bt.c0f.fits','x274020ct.c0f.fits',
# 'x274020dt.c0f.fits','x274020et.c0f.fits','x274020ft.c0f.fits',
# 'x274020gt.c0f.fits','x274020ht.c0f.fits','x274020it.c0f.fits']
# psf_file = 'NGC1068_f253m00.fits'
# globals()['plots_folder'] = "../plots/NGC1068_x274020/"
# globals()['data_folder'] = "../data/IC5063_x3nl030/"
# infiles = ['x3nl0301r_c0f.fits','x3nl0302r_c0f.fits','x3nl0303r_c0f.fits']
# psf_file = 'IC5063_f502m00.fits'
# globals()['plots_folder'] = "../plots/IC5063_x3nl030/"
globals()['data_folder'] = "../data/IC5063_x3nl030/"
infiles = ['x3nl0301r_c0f.fits','x3nl0302r_c0f.fits','x3nl0303r_c0f.fits']
psf_file = 'IC5063_f502m00.fits'
globals()['plots_folder'] = "../plots/IC5063_x3nl030/"
# globals()['data_folder'] = "../data/NGC1068_x14w010/"
# infiles = ['x14w0101t_c0f.fits','x14w0102t_c0f.fits','x14w0103t_c0f.fits',
@@ -122,7 +122,7 @@ def main():
crop = False #Crop to desired ROI
final_display = False
# Polarization map output
figname = 'NGC1068_FOC' #target/intrument name
figname = 'IC5063_FOC' #target/intrument name
figtype = '_combine_FWHM020' #additionnal informations
SNRp_cut = 5. #P measurments with SNR>3
SNRi_cut = 50. #I measurments with SNR>30, which implies an uncertainty in P of 4.7%.