XMM-Newton Slew Survey catalogue, XMMSL1

DOI

We report on the production of a large area, shallow, sky survey, from XMM-Newton slews. The great collecting area of the mirrors coupled with the high quantum efficiency of the EPIC detectors have made XMM-Newton the most sensitive X-ray observatory flown to date. We use data taken with the EPIC-pn camera during slewing manoeuvres to perform an X-ray survey of the sky. Data from 218 slews have been subdivided into small images and source searched. This has been done in three distinct energy bands; a soft (0.2-2keV) band, a hard (2-12keV) band and a total XMM-Newton band (0.2-12keV). Detected sources, have been quality controlled to remove artifacts and a catalogue has been drawn from the remaining sources. A "full" catalogue, containing 4710 detections and a "clean" catalogue containing 2692 sources have been produced, from 14% of the sky. In the hard X-ray band (2-12keV) 257 sources are detected in the clean catalogue to a flux limit of 4x10^-12^erg/s/cm^2^. The flux limit for the soft (0.2-2keV) band is 6x10^-13^erg/s/cm^2^ and for the total (0.2-12keV) band is 1.2x10^-12^erg/s/cm^2^. The source positions are shown to have an uncertainty of 8" (1{sigma} confidence).

Cone search capability for table J/A+A/480/611/xmmsl1t (XMMSL1 catalogue, total catalog (V1.1, 07/04/08))

Identifier
DOI http://doi.org/10.26093/cds/vizier.34800611
Source https://dc.g-vo.org/rr/q/lp/custom/CDS.VizieR/J/A+A/480/611
Related Identifier https://cdsarc.cds.unistra.fr/viz-bin/cat/J/A+A/480/611
Related Identifier https://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/A+A/480/611
Metadata Access http://dc.g-vo.org/rr/q/pmh/pubreg.xml?verb=GetRecord&metadataPrefix=oai_b2find&identifier=ivo://CDS.VizieR/J/A+A/480/611
Provenance
Creator Saxton R.D.; Read A.M.; Esquej P.; Freyberg M.J.; Altieri B.; Bermejo D.
Publisher CDS
Publication Year 2008
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