Add MKN3 observation studied by Dr. Kishimoto for comparison
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data/MKN3_x3md010/README.md
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Observation data
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Instrument : FOC
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Proposal ID : 6702
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Target name : MKN3
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Dataset : X3MD010
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plots/MKN3_x3md010/MKN3_2_FOC.png
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After Width: | Height: | Size: 292 KiB |
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plots/MKN3_x3md010/MKN3_2_FOC_P.png
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After Width: | Height: | Size: 178 KiB |
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plots/MKN3_x3md010/MKN3_2_FOC_P_err.png
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After Width: | Height: | Size: 158 KiB |
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plots/MKN3_x3md010/MKN3_2_FOC_SNRi.png
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After Width: | Height: | Size: 309 KiB |
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plots/MKN3_x3md010/MKN3_2_FOC_SNRp.png
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After Width: | Height: | Size: 325 KiB |
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plots/MKN3_x3md010/MKN3_2_FOC_center_image.png
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After Width: | Height: | Size: 98 KiB |
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plots/MKN3_x3md010/MKN3_2_FOC_errors_background_flux.png
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After Width: | Height: | Size: 38 KiB |
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plots/MKN3_x3md010/MKN3_2_FOC_errors_background_location.png
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After Width: | Height: | Size: 2.3 MiB |
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plots/MKN3_x3md010/MKN3_FOC.png
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After Width: | Height: | Size: 246 KiB |
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plots/MKN3_x3md010/MKN3_FOC_P.png
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After Width: | Height: | Size: 173 KiB |
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plots/MKN3_x3md010/MKN3_FOC_P_err.png
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After Width: | Height: | Size: 156 KiB |
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plots/MKN3_x3md010/MKN3_FOC_SNRi.png
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After Width: | Height: | Size: 257 KiB |
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plots/MKN3_x3md010/MKN3_FOC_SNRp.png
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After Width: | Height: | Size: 209 KiB |
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plots/MKN3_x3md010/MKN3_FOC_center_image.png
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After Width: | Height: | Size: 130 KiB |
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plots/MKN3_x3md010/MKN3_FOC_errors_background_flux.png
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After Width: | Height: | Size: 38 KiB |
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plots/MKN3_x3md010/MKN3_FOC_errors_background_location.png
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After Width: | Height: | Size: 1.0 MiB |
@@ -70,9 +70,14 @@ def main():
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# infiles = ['x3nl0101r_c0f.fits','x3nl0102r_c0f.fits','x3nl0103r_c0f.fits']
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# globals()['plots_folder'] = "../plots/MKN3_x3nl010/"
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globals()['data_folder'] = "../data/MKN78_x3nl020/"
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infiles = ['x3nl0201r_c0f.fits','x3nl0202r_c0f.fits','x3nl0203r_c0f.fits']
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globals()['plots_folder'] = "../plots/MKN78_x3nl020/"
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globals()['data_folder'] = "../data/MKN3_x3md010/"
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# infiles = ['x3md0101r_c0f.fits', 'x3md0102r_c0f.fits', 'x3md0103r_c0f.fits']
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infiles = ['x3md0104r_c0f.fits', 'x3md0105r_c0f.fits', 'x3md0106r_c0f.fits']
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globals()['plots_folder'] = "../plots/MKN3_x3md010/"
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# globals()['data_folder'] = "../data/MKN78_x3nl020/"
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# infiles = ['x3nl0201r_c0f.fits','x3nl0202r_c0f.fits','x3nl0203r_c0f.fits']
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# globals()['plots_folder'] = "../plots/MKN78_x3nl020/"
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## Reduction parameters
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# Deconvolution
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@@ -85,7 +90,7 @@ def main():
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iterations = 10
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# Error estimation
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error_sub_shape = (75,75)
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display_error = False
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display_error = True
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# Data binning
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rebin = True
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if rebin:
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@@ -94,16 +99,16 @@ def main():
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rebin_operation = 'sum' #sum or average
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# Alignement
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align_center = 'image' #If None will align image to image center
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display_data = False
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display_data = True
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# Smoothing
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smoothing_function = 'gaussian_after' #gaussian_after, gaussian or combine
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smoothing_FWHM = 2 #If None, no smoothing is done
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smoothing_scale = 'pixel' #pixel or arcsec
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smoothing_function = 'combine' #gaussian_after, gaussian or combine
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smoothing_FWHM = None #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 = True #rotation to North convention can give erroneous results
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# Polarization map output
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figname = 'MKN78_FOC' #target/intrument name
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figtype = '_gaussian_after_FWHM2_rot' #additionnal informations
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figname = 'MKN3_2_FOC' #target/intrument name
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figtype = '' #additionnal informations
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SNRp_cut = 3 #P measurments with SNR>3
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SNRi_cut = 30 #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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