Initial commit

data/4XMM-DR12/README.md

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+В данной директории находится каталог 4XMM-DR12
+
+Источник: http://xmmssc.irap.omp.eu/Catalogue/4XMM-DR12/4XMM_DR12.html
+
+Для вырезки источников для работы с полем UDS была использована эта команда:
+
+```
+ftselect '4XMM_DR12cat_slim_v1.0.fits[1]' 4XMM_DR12cat_slim_v1.0_UDS.fits 'SC_RA > 32.75 && SC_RA < 36.31 && SC_DEC > -6.55 && SC_DEC < -3.0' clobber=yes
+ftselect '4XMM_DR12cat_v1.0.fits[1]' 4XMM_DR12cat_v1.0_UDS.fits 'SC_RA > 32.75 && SC_RA < 36.31 && SC_DEC > -6.55 && SC_DEC < -3.0' clobber=yes
+
+Demo with DR13:
+ftselect '4XMM_slim_DR13cat_v1.0.fits[1]' 4XMM_slim_DR13cat_v1.0_DEMO.fits 'SC_RA > 25.75 && SC_RA < 50.31 && SC_DEC > -16.55 && SC_DEC < 13.0' clobber=yes
+
+```
+

data/4XMM-DR12/barplot.r

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+library(ggplot2)
+
+# see https://r-graph-gallery.com/4-barplot-with-error-bar.html
+
+png(file = "barplot.png")
+
+# create dummy data
+data <- data.frame(
+  name=c('','yy','zz','ff','DR12'),
+  flux=c(1,2,3,4,5),
+  err=c(1,0.2,3,2,4)
+)
+ 
+# Most basic error bar
+ggplot(data) +
+    geom_bar(aes(x=name, y=flux), stat="identity", fill="skyblue", alpha=0.7) +
+    geom_errorbar( aes(x=name, ymin=flux-err, ymax=flux+err), width=0.4, colour="black", alpha=0.9, linewidth=2)
+    
+
+dev.off()

data/4XMM-DR12/plot_corr.r

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+options(digits = 7)  # knitr sometimes decreases number of digits shown
+require(stats)
+xgrid <- c(1e-17,1e-16,1e-15,1e-14,1e-13,1e-12);
+
+
+postscript(paste("../../products/eUDS_4XMM-DR12.flux.eps",sep=""), horizontal = FALSE, onefile = FALSE, paper = "special",width = 9.0, height = 6.0)
+par(oma=c(1,1,1,1))
+
+#layout(matrix(c(1,2), 2, 1, byrow = TRUE), heights = c(1.5,1), TRUE)
+
+par(mar=c(4.3, 4.3, 1, 1))
+par(cex.lab=1.2)
+par(cex.axis=1.2)
+
+a <- read.table("../../products/eUDS_4XMM-DR12.flux.cvs", col.names=c("eflux","eerr","xflux","xerr"))
+
+
+xlim <- c(1e-15,1e-12)
+ylim <- c(1e-16,1e-12)
+
+plot(NULL,  pch=21, bg="gold",ylim=ylim, xlim=xlim, main="", ylab="eUDS, erg/s/cm2",type="p",xaxt="n",xlab="4XMM-DR12, erg/s/cm2", log="xy")
+axis(side=1, at=xgrid, labels=xgrid)
+segments(a$xflux,a$eflux-a$eerr,a$xflux,a$eflux+a$eerr)
+segments(a$xflux-a$xerr,a$eflux,a$xflux+a$xerr,a$eflux)
+#segments(a$xlo,d,a$xhi,d)
+points(a$xflux,a$eflux,pch=21, bg="gold")
+
+
+lines(c(1e-17,1e-12),c(1e-17,1e-12))
+lines(c(1e-17,1e-12),10*c(1e-17,1e-12),lt=2)
+lines(c(1e-17,1e-12),0.1*c(1e-17,1e-12),lt=2)
+
+grid()
+
+
+
+abline(h=0, col = "black",lty=2)
+abline(v=xgrid, col="lightgray", lty="dotted")
+
+dev.off()

data/4XMM-DR12/print_ds9reg.py

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+from astropy.io import fits
+import sys
+
+#filename='4XMM_DR12cat_slim_v1.0_UDS.fits.catalog'
+filename='4XMM_slim_DR13cat_v1.0_DEMO.fits'
+fout=filename.replace(".fits.catalog", ".names.reg")
+
+hdul = fits.open(filename)
+#hdul.info()
+
+tbdata = hdul[1].data
+hdul.close()
+
+
+#with open("./{}".format(fout), 'w') as writer:
+for rec in tbdata:
+    print("fk5;circle({}, {}, 0.008)".format(rec['sc_ra'],rec['sc_dec']))
+        #writer.write("fk5;circle({}, {}, {}) # text={{{}}}\n".format(rec['sc_ra'],rec['sc_dec'],rec['sc_poserr']/3600,rec['IAUNAME']))
+

data/Gaia_unWISE/README.md

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+В данной директории находится каталог Gaia-unWISE из статьи https://ui.adsabs.harvard.edu/abs/2019MNRAS.489.4741S/abstract
+
+Каталог был получен с этого ресурса: https://zenodo.org/record/6837642#.ZAcufYBByRR
+
+Для вырезки источников для работы с полем UDS была использована эта команда:
+
+```
+ftselect 'Gaia_unWISE_AGNs.fits[1]' Gaia_unWISE_UDS.fits 'RA > 32.75 && RA < 36.31 && DEC > -6.55 && DEC < -3.0' clobber=yes
+```
+

data/MCXC/print_ds9reg.py

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+#!/usr/bin/env python
+# -*- coding:  utf-8  -*-
+from astropy.io import fits
+
+hdul = fits.open('mcxc.fits.catalog')
+tbdata = hdul[1].data
+hdul.close()
+
+with open("../../products/mcxc.reg", 'w') as writer:
+    for rec in tbdata:
+        writer.write("fk5;point({}, {}) # color=magenta text={{{}}}\n".format(rec['RAJ2000'],
+                                                                              rec['DEJ2000'],
+                                                                              rec['OName'],))
+
+

data/NuSTAR/print_ds9reg.py

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+#!/usr/bin/env python
+# -*- coding:  utf-8  -*-
+from astropy.io import fits
+
+hdul = fits.open('nustar.fits.catalog')
+tbdata = hdul[1].data
+hdul.close()
+
+with open("../../products/nustar_UDS.reg", 'w') as writer:
+    for rec in tbdata:
+        writer.write("fk5;circle({}, {}, 0.0025) # color=magenta text={{{}}}\n".format(rec['RAJ2000'], rec['DEJ2000'], rec['NuSTAR']))
+
+

data/README.md

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+Эта директория содержит данные (списки событий) телескопа еРОЗИТА.
+
+raw -- оригинальные файлы с камер телескопа

data/SXDS/README.md

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+В данной директории находится каталог Subaru/XMM-Newton deep survey (SXDS) https://ui.adsabs.harvard.edu/abs/2008ApJS..179..124U/abstract
+
+Каталог был получен с этого ресурса: https://cdsarc.cds.unistra.fr/viz-bin/cat/J/ApJS/179/124
+

data/SXDS/print_ds9reg.py

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+from astropy.io import fits
+import sys
+
+filename='SXDS.fits.catalog'
+fout=filename.replace(".fits.catalog", ".reg")
+
+hdul = fits.open(filename)
+#hdul.info()
+
+tbdata = hdul[1].data
+
+with open("../../products/{}".format(fout), 'w') as writer:
+    for rec in tbdata:
+        text="{}{}".format(rec['__UWS2008_'],rec['Note'])
+        #writer.write("fk5;point({}, {})\n".format(rec['sc_ra'],rec['sc_dec']))
+        writer.write("fk5;circle({}, {}, {}) # text={{{}}}\n".format(rec['RAJ2000'],rec['DEJ2000'],rec['e_pos']/3600,text))

data/X-CLASS/README.md

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+В данной директории находится каталог скоплений галактик X-CLASS из статьи https://ui.adsabs.harvard.edu/abs/2021A%26A...652A..12K/abstract
+
+Каталог был получен с этого ресурса: https://vizier.cds.unistra.fr/viz-bin/VizieR-3?-source=J/A%2bA/652/A12/table3
+
+Для вырезки источников для работы с полем UDS была использована эта команда:
+
+```
+ftselect 'x-class.fits[1]' x-class_UDS.fits 'RAJ2000 > 32.75 && RAJ2000 < 36.31 && DEJ2000 > -6.55 && DEJ2000 < -3.0' clobber=yes
+```
+

data/X-CLASS/print_ds9reg.py

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+#!/usr/bin/env python
+# -*- coding:  utf-8  -*-
+from astropy.io import fits
+
+hdul = fits.open('x-class_UDS.fits.catalog')
+tbdata = hdul[1].data
+hdul.close()
+
+with open("../../products/x-class_UDS.fits.reg", 'w') as writer:
+    for rec in tbdata:
+        writer.write("fk5;circle({}, {}, {}) # color=magenta text={{{} {:.2f} {:.2f}}}\n".format(rec['RAJ2000'],
+                                                                                                 rec['DEJ2000'],
+                                                                                                 rec['extent']/3600,
+                                                                                                 rec['XClass'],
+                                                                                                 rec['MLdet'],
+                                                                                                 rec['MLext'],))
+
+

data/xspec/ML0001.xcm

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+method leven 10 0.01
+abund wilm
+xsect vern
+cosmo 70 0 0.73
+xset delta 0.01
+systematic 0
+model  TBabs*powerlaw
+      0.0123819          1          0          0     100000      1e+06
+              2         -1         -3         -2          9         10
+    0.000106473       0.01          0          0      1e+20      1e+24
+bayes off

data/xspec/ML0003.xcm

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+method leven 10 0.01
+abund wilm
+xsect vern
+cosmo 70 0 0.73
+xset delta 0.01
+systematic 0
+model  TBabs*powerlaw
+     0.00327282          1          0          0     100000      1e+06
+              2         -1         -3         -2          9         10
+    0.000121635       0.01          0          0      1e+20      1e+24
+bayes off

data/xspec/ML0004.xcm

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+method leven 10 0.01
+abund wilm
+xsect vern
+cosmo 70 0 0.73
+xset delta 0.01
+systematic 0
+model  TBabs*powerlaw
+     0.00240283          1          0          0     100000      1e+06
+              2         -1         -3         -2          9         10
+    0.000297459       0.01          0          0      1e+20      1e+24
+bayes off

data/xspec/ML0005.xcm

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+method leven 10 0.01
+abund wilm
+xsect vern
+cosmo 70 0 0.73
+xset delta 0.01
+systematic 0
+model  TBabs*powerlaw
+      0.0320991          1          0          0     100000      1e+06
+              2         -1         -3         -2          9         10
+    0.000123814       0.01          0          0      1e+20      1e+24
+bayes off

data/xspec/ecf.xcm

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+method leven 10 0.01
+abund wilm
+xsect vern
+cosmo 70 0 0.73
+xset delta 0.01
+systematic 0
+model  TBabs*powerlaw
+           0.02         -1          0          0     100000      1e+06
+              2         -1         -3         -2          9         10
+    4.83094e-05       0.01          0          0      1e+20      1e+24
+bayes off

data/xspec/load.xcm

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+data tm0_SrcTool_020_SourceSpec_00005.fits.grp
+ign bad
+ign **-0.2
+ign 10.-**
+cpd /xs
+setpl en
+pl lda
+