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This commit is contained in:
Roman Krivonos
2025-10-08 11:32:13 +03:00
parent 88de44ba75
commit 879d09ab65
46 changed files with 14 additions and 66480 deletions
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4281
data/4XMM-DR12/4XMM_DR12cat_slim_v1.0_UDS.fits.catalog
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52767
data/4XMM-DR12/4XMM_DR12cat_v1.0_UDS.fits.catalog
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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
```

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data/4XMM-DR12/Rplots.pdf
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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()

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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()

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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']))

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data/ECF/ecf_tbabspow_g2nh0.02.pkl
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data/ECF/ecf_tbabspow_g2nh003.pkl
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data/Gaia_unWISE/Gaia_unWISE_UDS.fits.catalog
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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
```

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data/MCXC/mcxc.fits.catalog
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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'],))

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data/NuSTAR/nustar.fits.catalog
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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']))

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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

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data/SXDS/SXDS.fits.catalog
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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))

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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
```

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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'],))

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data/X-CLASS/x-class.fits.catalog
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data/X-CLASS/x-class_UDS.fits.catalog
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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

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data/xspec/ML0003.xcm
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@@ -1,11 +0,0 @@
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

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data/xspec/ML0004.xcm
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@@ -1,11 +0,0 @@
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

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data/xspec/ML0005.xcm
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@@ -1,11 +0,0 @@
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

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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

8
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