VLA 1.4GHz survey of E-CDF-S

DOI

We have observed the Extended Chandra Deep Field-South (E-CDF-S) using a mosaic of six deep Very Large Array (VLA) pointings at 1.4GHz. In this paper, we present the survey strategy, description of the observations, and the first data release. The observations were performed during June through September of 2007 and included from 15 to 17 "classic" VLA antennas and 6 to 11 that had been retrofitted for the Expanded VLA (EVLA). The first data release consists of a 34.1'x34.1' image and the attendant source catalog. The image achieves an rms sensitivity of 6.4{mu}Jy per 2.8"x1.6" beam in its deepest regions, with a typical sensitivity of 8uJy. The catalog is conservative in that it only lists sources with peak flux densities greater than seven times the local rms noise, yet it still contains 464 sources. Nineteen of these are complex sources consisting of multiple components. Cross matching of the catalog to prior surveys of the E-CDF-S confirms the linearity of the flux density calibration, albeit with a slight possible offset (a few percent) in scale. Improvements to the data reduction and source catalog are ongoing, and we intend to produce a second data release in 2009 January.

Cone search capability for table J/ApJS/179/114/table2 (*Preliminary Source List)

Identifier
DOI http://doi.org/10.26093/cds/vizier.21790114
Source https://dc.g-vo.org/rr/q/lp/custom/CDS.VizieR/J/ApJS/179/114
Related Identifier https://cdsarc.cds.unistra.fr/viz-bin/cat/J/ApJS/179/114
Related Identifier https://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/ApJS/179/114
Metadata Access http://dc.g-vo.org/rr/q/pmh/pubreg.xml?verb=GetRecord&metadataPrefix=oai_b2find&identifier=ivo://CDS.VizieR/J/ApJS/179/114
Provenance
Creator Miller N.A.; Fomalont E.B.; Kellermann K.I.; Mainieri V.; Norman C.,Padovani P.; Rosati P.; Tozzi P.
Publisher CDS
Publication Year 2009
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