Merge branch 'main' of gitea.tibeuleu.xyz:Tibeuleu/FOC_reduction

Download_data

@@ -0,0 +1,2 @@
+TELECHARGER DONNEES HST
+https://archive.stsci.edu/hst/search.php

plots/M87/POS1/animated_loop/make_gif

@@ -0,0 +1,2 @@
+convert -delay 20 -loop 0 *.jpg myimage.gif
+

src/FOC_reduction.py

@@ -20,12 +20,12 @@ from astropy.wcs import WCS
 def main():
     ##### User inputs
     ## Input and output locations
-    globals()['data_folder'] = "../data/NGC1068_x274020/"
+#    globals()['data_folder'] = "../data/NGC1068_x274020/"
-    infiles = ['x274020at.c0f.fits','x274020bt.c0f.fits','x274020ct.c0f.fits',
+#    infiles = ['x274020at_c0f.fits','x274020bt_c0f.fits','x274020ct_c0f.fits',
-            'x274020dt.c0f.fits','x274020et.c0f.fits','x274020ft.c0f.fits',
+#            'x274020dt_c0f.fits','x274020et_c0f.fits','x274020ft_c0f.fits',
-            'x274020gt.c0f.fits','x274020ht.c0f.fits','x274020it.c0f.fits']
+#            'x274020gt_c0f.fits','x274020ht_c0f.fits','x274020it_c0f.fits']
 #    psf_file = 'NGC1068_f253m00.fits'
-    globals()['plots_folder'] = "../plots/NGC1068_x274020/"
+#    globals()['plots_folder'] = "../plots/NGC1068_x274020/"
 
 #    globals()['data_folder'] = "../data/IC5063_x3nl030/"
 #    infiles = ['x3nl0301r_c0f.fits','x3nl0302r_c0f.fits','x3nl0303r_c0f.fits']
@@ -86,6 +86,24 @@ def main():
 #    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']
 #    globals()['plots_folder'] = "../plots/3C273_x0u20/"
 
+#BEWARE: 5 observations separated by 1 year each (1995, 1996, 1997, 1998, 1999)
+    globals()['data_folder'] = "../data/M87/POS1/"
+    infiles = ['x2py010ct_c0f.fits','x2py010dt_c0f.fits','x2py010et_c0f.fits','x2py010ft_c0f.fits'] #1995
+#    infiles = ['x3be010ct_c0f.fits','x3be010dt_c0f.fits','x3be010et_c0f.fits','x3be010ft_c0f.fits'] #1996
+#    infiles = ['x43r010km_c0f.fits','x43r010mm_c0f.fits','x43r010om_c0f.fits','x43r010rm_c0f.fits'] #1997
+#    infiles = ['x43r110kr_c0f.fits','x43r110mr_c0f.fits','x43r110or_c0f.fits','x43r110rr_c0f.fits'] #1998
+#    infiles = ['x43r210kr_c0f.fits','x43r210mr_c0f.fits','x43r210or_c0f.fits','x43r210rr_c0f.fits'] #1999
+    globals()['plots_folder'] = "../plots/M87/POS1/"
+
+#BEWARE: 5 observations separated by 1 year each (1995, 1996, 1997, 1998, 1999)
+#    globals()['data_folder'] = "../data/M87/POS3/"
+#    infiles = ['x2py030at_c0f.fits','x2py030bt_c0f.fits','x2py030ct_c0f.fits','x2py0309t_c0f.fits'] #1995
+#    infiles = ['x3be030at_c0f.fits','x3be030bt_c0f.fits','x3be030ct_c0f.fits','x3be0309t_c0f.fits'] #1996
+#    infiles = ['x43r030em_c0f.fits','x43r030gm_c0f.fits','x43r030im_c0f.fits','x43r030lm_c0f.fits'] #1997
+#    infiles = ['x43r130er_c0f.fits','x43r130fr_c0f.fits','x43r130ir_c0f.fits','x43r130lr_c0f.fits'] #1998
+#    infiles = ['x43r230er_c0f.fits','x43r230fr_c0f.fits','x43r230ir_c0f.fits','x43r230lr_c0f.fits'] #1999
+#    globals()['plots_folder'] = "../plots/M87/POS3/"
+
     ## Reduction parameters
     # Deconvolution
     deconvolve = False
@@ -105,7 +123,7 @@ def main():
     # Data binning
     rebin = True
     if rebin:
-        pxsize = 0.05
+        pxsize = 0.1
         px_scale = 'arcsec'         #pixel, arcsec or full
         rebin_operation = 'sum'     #sum or average
     # Alignement
@@ -122,11 +140,11 @@ def main():
     crop = False                    #Crop to desired ROI
     final_display = True
     # Polarization map output
-    figname = 'NGC1068_FOC'         #target/intrument name
+    figname = 'M87_POS1_1995_FOC'         #target/intrument name
-    figtype = '_combine_FWHM010'    #additionnal informations
+    figtype = '_combine_FWHM01'    #additionnal informations
-    SNRp_cut = 5.    #P measurments with SNR>3
+    SNRp_cut = 3.    #P measurments with SNR>3
-    SNRi_cut = 50.   #I measurments with SNR>30, which implies an uncertainty in P of 4.7%.
+    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
+    step_vec = 0    #plot all vectors in the array. if step_vec = 2, then every other vector will be plotted
                     # if step_vec = 0 then all vectors are displayed at full length
 
     ##### Pipeline start

src/run_pipeline

@@ -0,0 +1,8 @@
+EXECUTER PIPELINE
+python3 FOC_reduction.py
+
+OUVRIR LE FICHIER FITS FINAL AVEC L'OUTIL D'ANALYSE 
+python3 analysis.py -f ../data/NGC1068_x274020/NGC1068_FOC_combine_FWHM010.fits
+
+METTRE DES VALEURS PAR DEFAUT A L'OUTIL D'ANALYSE POUR LES CUTS EN POLARIZATION ET INTENSITE
+python3 analysis.py -f ../data/NGC1068_x274020/NGC1068_FOC_combine_FWHM010.fits -p 5 -i 10 

update_git

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+RECUPERER NOUVELLE VERSION
+git fetch
+
+INSTALLER NOUVELLE VERSION
+git pull origin main
+
+AJOUTER TOUS LES FICHIERS A L'ARBRE DE DIFFERENTIATION DU GIT
+git add .
+
+PRENDRE TOUS LES FICHIERS DE L'ARBRE COURANT POUR EN FAIRE UNE VERSION
+git commit -m "mesage du commit"
+
+ENVOYER MES COMMITS LOCAUX AU DOSSIER PARTAGE DISTANT
+git push -u origin main