high definition map for NGC1068 and recomputation for IC5063
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@@ -17,11 +17,11 @@ from lib.convex_hull import image_hull
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def main():
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##### User inputs
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## Input and output locations
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# globals()['data_folder'] = "../data/NGC1068_x274020/"
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# infiles = ['x274020at.c0f.fits','x274020bt.c0f.fits','x274020ct.c0f.fits',
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# 'x274020dt.c0f.fits','x274020et.c0f.fits','x274020ft.c0f.fits',
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# 'x274020gt.c0f.fits','x274020ht.c0f.fits','x274020it.c0f.fits']
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# globals()['plots_folder'] = "../plots/NGC1068_x274020/"
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globals()['data_folder'] = "../data/NGC1068_x274020/"
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infiles = ['x274020at.c0f.fits','x274020bt.c0f.fits','x274020ct.c0f.fits',
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'x274020dt.c0f.fits','x274020et.c0f.fits','x274020ft.c0f.fits',
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'x274020gt.c0f.fits','x274020ht.c0f.fits','x274020it.c0f.fits']
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globals()['plots_folder'] = "../plots/NGC1068_x274020/"
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# globals()['data_folder'] = "../data/NGC1068_x14w010/"
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# infiles = ['x14w0101t_c0f.fits','x14w0102t_c0f.fits','x14w0103t_c0f.fits',
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@@ -81,13 +81,13 @@ def main():
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# infiles = ['x25d0401t_c0f.fits','x25d0402t_c0f.fits','x25d0403t_c0f.fits']
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# globals()['plots_folder'] = "../plots/PictorA_x25d040/"
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globals()['data_folder'] = "../data/3C273_x0u20/"
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infiles = ['x0u20101t_c0f.fits','x0u20102t_c0f.fits','x0u20103t_c0f.fits','x0u20104t_c0f.fits','x0u20105t_c0f.fits','x0u20106t_c0f.fits','x0u20201t_c0f.fits','x0u20202t_c0f.fits','x0u20203t_c0f.fits','x0u20204t_c0f.fits','x0u20205t_c0f.fits','x0u20206t_c0f.fits','x0u20301t_c0f.fits','x0u20302t_c0f.fits','x0u20303t_c0f.fits','x0u20304t_c0f.fits','x0u20305t_c0f.fits','x0u20306t_c0f.fits']
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globals()['plots_folder'] = "../plots/3C273_x0u20/"
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# globals()['data_folder'] = "../data/3C273_x0u20/"
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# infiles = ['x0u20101t_c0f.fits','x0u20102t_c0f.fits','x0u20103t_c0f.fits','x0u20104t_c0f.fits','x0u20105t_c0f.fits','x0u20106t_c0f.fits','x0u20201t_c0f.fits','x0u20202t_c0f.fits','x0u20203t_c0f.fits','x0u20204t_c0f.fits','x0u20205t_c0f.fits','x0u20206t_c0f.fits','x0u20301t_c0f.fits','x0u20302t_c0f.fits','x0u20303t_c0f.fits','x0u20304t_c0f.fits','x0u20305t_c0f.fits','x0u20306t_c0f.fits']
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# globals()['plots_folder'] = "../plots/3C273_x0u20/"
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## Reduction parameters
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# Deconvolution
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deconvolve = True
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deconvolve = False
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if deconvolve:
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psf = 'gaussian' #Can be user-defined as well
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psf_FWHM = 0.15
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@@ -97,12 +97,12 @@ def main():
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# Cropping
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display_crop = False
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# Error estimation
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error_sub_shape = (75,75)
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error_sub_shape = (150,150)
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display_error = False
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# Data binning
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rebin = True
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if rebin:
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pxsize = 0.15
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pxsize = 0.05
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px_scale = 'arcsec' #pixel or arcsec
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rebin_operation = 'sum' #sum or average
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# Alignement
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@@ -110,16 +110,16 @@ def main():
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display_data = False
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# Smoothing
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smoothing_function = 'combine' #gaussian_after, gaussian or combine
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smoothing_FWHM = 0.15 #If None, no smoothing is done
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smoothing_FWHM = 0.10 #If None, no smoothing is done
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smoothing_scale = 'arcsec' #pixel or arcsec
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# Rotation
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rotate_stokes = True #rotation to North convention can give erroneous results
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rotate_data = False #rotation to North convention can give erroneous results
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# Polarization map output
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figname = '3C273_FOC' #target/intrument name
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figtype = '_combine_FWHM015_deconvolved' #additionnal informations
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SNRp_cut = 5. #P measurments with SNR>3
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SNRi_cut = 20. #I measurments with SNR>30, which implies an uncertainty in P of 4.7%.
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figname = 'NGC1068_FOC' #target/intrument name
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figtype = '_combine_FWHM020' #additionnal informations
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SNRp_cut = 50. #P measurments with SNR>3
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SNRi_cut = 350. #I measurments with SNR>30, which implies an uncertainty in P of 4.7%.
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step_vec = 1 #plot all vectors in the array. if step_vec = 2, then every other vector will be plotted
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##### Pipeline start
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