ROSAT GPS optical identification

We report on optical searches in the error circles of 93 ROSAT survey sources located at low galactic latitudes (|b|<20{deg}). These sources were extracted from the ROSAT Galactic Plane Survey using various selection criteria on hardness ratio, X-ray and optical brightness and integrated galactic absorption in the direction of the source. We find optical identifications in 76 cases, among which are 25 new AGN, 6 new CVs and a new Be/X-ray binary. In order to illustrate the relevance of the source selections applied here, we cross-correlated the ROSAT all-sky survey bright source list with SIMBAD. Different classes of X-ray emitters populate distinct regions of a multi dimensional parameter space involving flux ratios, galactic latitude and N_H_. This relatively good segregation offers the possibility to build source samples with enhanced probability of identification with a given class. Complete optical identification of such subsamples could eventually be used to compute meaningful probabilities of identification for all sources using as basis a restricted set of multi-wavelength information.

Cone search capability for table J/A+AS/132/341/table4 (X-ray characteristics of ROSAT survey sources derived from the SASS as in October 1991)

Cone search capability for table J/A+AS/132/341/table5 (Optical identifications of ROSAT survey sources)

Identifier
Source https://dc.g-vo.org/rr/q/lp/custom/CDS.VizieR/J/A+AS/132/341
Related Identifier https://cdsarc.cds.unistra.fr/viz-bin/cat/J/A+AS/132/341
Related Identifier https://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/A+AS/132/341
Metadata Access http://dc.g-vo.org/rr/q/pmh/pubreg.xml?verb=GetRecord&metadataPrefix=oai_b2find&identifier=ivo://CDS.VizieR/J/A+AS/132/341
Provenance
Creator Motch C.; Guillout P.; Haberl F.; Krautter J.; Pakull M.W.; Pietsh W.,Reinsch K.; Voges W.; Zickgraf F.-J.
Publisher CDS
Publication Year 1998
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; Natural Sciences; Observational Astronomy; Physics