J/A+A/608/A39ivo://CDS.VizieR/J/A+A/608/A39doi:10.26093/cds/vizier.36080039CDSMountrichas G.Corral A.Masoura V.A.Georgantopoulos I.Ruiz A.,Georgakakis A.Carrera F.J.Fotopoulou S.2022-12-31T08:57:48Z2017-12-04T08:09:29ZCDS support team

CDS, Observatoire de Strasbourg, 11 rue de l'Universite, F-67000 Strasbourg, France

cds-question@unistra.frx-ray-sourcesredshiftedWe present photometric redshifts for 1,031 X-ray sources in the X-ATLAS field using the machine-learning technique TPZ. X-ATLAS covers 7.1 deg2 observed with XMM-Newton within the Science Demonstration Phase (SDP) of the H-ATLAS field, making it one of the largest contiguous areas of the sky with both XMM-Newton and Herschel coverage. All of the sources have available SDSS photometry, while 810 additionally have mid-IR and/or near-IR photometry. A spectroscopic sample of 5,157 sources primarily in the XMM/XXL field, but also from several X-ray surveys and the SDSS DR13 redshift catalogue, was used to train the algorithm. Our analysis reveals that the algorithm performs best when the sources are split, based on their optical morphology, into point-like and extended sources. Optical photometry alone is not enough to estimate accurate photometric redshifts, but the results greatly improve when at least mid-IR photometry is added in the training process. In particular, our measurements show that the estimated photometric redshifts for the X-ray sources of the training sample have a normalized absolute median deviation, nmadh0.06, and a percentage of outliers, {eta}=10-14%, depending upon whether the sources are extended or point like. Our final catalogue contains photometric redshifts for 933 out of the 1,031 X-ray sources with a median redshift of 0.9.2017A&A...608A..39Mhttps://cdsarc.cds.unistra.fr/viz-bin/cat/J/A+A/608/A39CatalogResearchIsServedByTAP VizieR generic serviceIsServedByConesearch servicerelated-toII/328 : AllWISE Data Release (Cutri+ 2013)II/343 : VIKING catalogue data release 2 (Edge+, 2016)J/MNRAS/452/4153 : SDSS DR12 QSOs [OIII] doublet (Albareti+, 2015)J/A+A/577/A121 : The XMM-ATLAS catalogues (Ranalli+, 2015)http://skyserver.sdss.org/dr13/ : SDSS DR13 Home Pagehttps://cds.unistra.fr/vizier-org/licences_vizier.htmlhttps://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/A+A/608/A39https://vizier.iucaa.in/viz-bin/VizieR-2?-source=J/A+A/608/A39http://vizieridia.saao.ac.za/viz-bin/VizieR-2?-source=J/A+A/608/A39https://vizier.cds.unistra.fr/viz-bin/votable?-source=J/A+A/608/A39https://vizier.iucaa.in/viz-bin/votable?-source=J/A+A/608/A39http://vizieridia.saao.ac.za/viz-bin/votable?-source=J/A+A/608/A39GETtext/xml+votablehttps://tapvizier.cds.unistra.fr/TAPVizieR/tapCone search capability for table J/A+A/608/A39/photoz (Photometric redshifts)https://vizier.cds.unistra.fr/viz-bin/conesearch/J/A+A/608/A39/photoz?https://vizier.iucaa.in/viz-bin/conesearch/J/A+A/608/A39/photoz?http://vizieridia.saao.ac.za/viz-bin/conesearch/J/A+A/608/A39/photoz?GETtext/xml+votable180.050000true135.395951670.322049170.0055555555555555565/1024 6826 6/4100 4102 27298-27299 27308 27310 40957 40959https://cdsarc.cds.unistra.fr/viz-bin/moc/J/A+A/608/A39?format=asciiX-raydefaultJ/A+A/608/A39/photozPhotometric redshiftsSimbadNameSimbad column added by the CDSmeta.idcharnullablerecnoRecord number assigned by the VizieR team. Should Not be used for identification.meta.recordintRAJ2000XMM right ascension (J2000)degpos.eq.ra;meta.mainPDF34Probability density function bin (step=0.05)stat.fit.goodnessdoublePDF35Probability density function bin (step=0.05)stat.fit.goodnessdoublePDF36Probability density function bin (step=0.05)stat.fit.goodnessdoubleDEJ2000XMM declination (J2000)degpos.eq.dec;meta.mainRASdegSDSS DR13 right ascension (J2000)degpos.eq.raDESdegSDSS DR13 declination (J2000)degpos.eq.decClass[0/2] Classification (1)meta.code.classintBands[5/10] Available photometric bands (2)meta.codeintzph[0/3.45] Photometric redshift, mode (3)src.redshiftfloat<zph>Average photometric redshiftsrc.redshift.photfloatzphconfRedshift confidence level, modestat.errorfloat<zphconf>Average redshift confidence levelstat.errorfloate_zphrms uncertainty on zph, modestat.errorfloate_<zph>rms uncertainty on <zph>stat.errorfloatPDF1Probability density function bin (step=0.05)stat.fit.goodnessdoublePDF2Probability density function 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(step=0.05)stat.fit.goodnessdoublePDF61Probability density function bin (step=0.05)stat.fit.goodnessdoublePDF62Probability density function bin (step=0.05)stat.fit.goodnessdoublePDF63Probability density function bin (step=0.05)stat.fit.goodnessdoublePDF64Probability density function bin (step=0.05)stat.fit.goodnessdoublePDF65Probability density function bin (step=0.05)stat.fit.goodnessdoublePDF66Probability density function bin (step=0.05)stat.fit.goodnessdoublePDF67Probability density function bin (step=0.05)stat.fit.goodnessdoublePDF68Probability density function bin (step=0.05)stat.fit.goodnessdoublePDF69Probability density function bin (step=0.05)stat.fit.goodnessdoublePDF70Probability density function bin (step=0.05)stat.fit.goodnessdoubleXMMATLASDisplay the XMM-ATLAS data (Ranalli et al., 2015, Cat. J/A+A/577/A121meta.ref.urlchar