Galactic Bulge Survey X-ray sources NIR ctp

DOI

We report on the near-infrared matches, drawn from three surveys, to the 1640 unique X-ray sources detected by Chandra in the Galactic Bulge Survey (GBS). This survey targets faint X-ray sources in the bulge, with a particular focus on accreting compact objects. We present all viable counterpart candidates and associate a false alarm probability (FAP) to each near-infrared match in order to identify the most likely counterparts. The FAP takes into account a statistical study involving a chance alignment test, as well as considering the positional accuracy of the individual X-ray sources. We find that although the star density in the bulge is very high, ~90 per cent of our sources have an FAP<10 per cent, indicating that for most X-ray sources, viable near-infrared counterparts candidates can be identified. In addition to the FAP, we provide positional and photometric information for candidate counterparts to ~95 per cent of the GBS X-ray sources. This information in combination with optical photometry, spectroscopy and variability constraints will be crucial to characterize and classify secure counterparts.

Cone search capability for table J/MNRAS/438/2839/table4 (Table containing all NIR data and FAP of matches within R95)

Identifier
DOI http://doi.org/10.26093/cds/vizier.74382839
Source https://dc.g-vo.org/rr/q/lp/custom/CDS.VizieR/J/MNRAS/438/2839
Related Identifier https://cdsarc.cds.unistra.fr/viz-bin/cat/J/MNRAS/438/2839
Related Identifier https://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/MNRAS/438/2839
Metadata Access http://dc.g-vo.org/rr/q/pmh/pubreg.xml?verb=GetRecord&metadataPrefix=oai_b2find&identifier=ivo://CDS.VizieR/J/MNRAS/438/2839
Provenance
Creator Greiss S.; Steeghs D.; Jonker P.G.; Torres M.A.P.; Maccarone T.J.,Hynes R.I.; Britt C.T.; Nelemans G.; Gansicke B.T.
Publisher CDS
Publication Year 2018
Rights https://cds.unistra.fr/vizier-org/licences_vizier.html
OpenAccess true
Contact CDS support team <cds-question(at)unistra.fr>
Representation
Resource Type Dataset; AstroObjects
Discipline Astrophysics and Astronomy; Cosmology; Galactic and extragalactic Astronomy; Natural Sciences; Observational Astronomy; Physics