CLASS survey of radio sources

The Cosmic Lens All-Sky Survey (CLASS) is an international collaborative program aimed at obtaining high-resolution radio images of over 10000 flat-spectrum radio sources in order to create the largest and best studied statistical sample of radio-loud gravitationally lensed systems. CLASS is aimed at identifying lenses where multiple images are formed from compact flat-spectrum radio sources, which should be easily identifiable in the radio maps (Browne et al., 2003MNRAS.341...13B). In four observing ``seasons'' from 1994-1999, CLASS has observed 13832 radio sources. When combined with the JVAS survey, the CLASS sample contains over 16,000 images. Using the GB6 and NVSS surveys, a complete statistical subset of 11685 sources has been constructed. These were selected from the NVSS 20-cm (Condon et al., 1998, Cat. ) and GB6 6-cm (Gregory et al., 1996, Cat. ) catalogues by the selection criteria: declination >0deg, |b|=30mJy, and spectral index between 6 and 20cm flatter than -0.5 (S proportional to frequency^+alpha^). The remaining sources were selected using earlier versions of these catalogues or with slightly relaxed versions of these criteria.

Cone search capability for table VIII/72/catalog (CLASS catalog)

Identifier
Source https://dc.g-vo.org/rr/q/lp/custom/CDS.VizieR/VIII/72
Related Identifier https://cdsarc.cds.unistra.fr/viz-bin/cat/VIII/72
Related Identifier http://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=VIII/72
Metadata Access http://dc.g-vo.org/rr/q/pmh/pubreg.xml?verb=GetRecord&metadataPrefix=oai_b2find&identifier=ivo://CDS.VizieR/VIII/72
Provenance
Creator Myers S.T.; Jackson N.J.; Browne I.W.A.; de Bruyn A.G.; Pearson T.J.; Readhead A.C.S.; Wilkinson P.N.; Biggs A.D.; Blandford R.D.; Fassnacht C.D.; Koopmans L.V.E.; Marlow D.R.; McKean J.P.; Norbury M.A.; Phillips P.M.; Rusin D.; Shepherd M.C.; Sykes C.M.
Publisher CDS
Publication Year 2012
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
Discipline Astrophysics and Astronomy; Cosmology; Natural Sciences; Observational Astronomy; Physics