Lockman Hole North 3GHz catalogue

This is the second of two papers describing the observations and source catalogues derived from sensitive $3$-GHz images of the Lockman Hole North using the Karl G. Jansky Very Large Array. We describe the reduction and cataloguing process, which yielded an image with 8-arcsec resolution and instrumental noise of {sigma}_n=1.01uJy/beam rms (before primary beam corrections) and a catalogue of 558 sources detected above 5{sigma}_n. We include details of how we estimate source spectral indices across the 2GHz VLA bandwidth, finding a median index of -0.76+/-0.04. Stacking of source spectra reveals a flattening of spectral index with decreasing flux density. We present a source count derived from the catalogue. We show a traditional count estimate compared with a completely independent estimate made via a P(D) confusion analysis, and find very good agreement. Cross-matches of the catalogue with X-ray, optical, infrared, radio, and redshift catalogues are also presented. The X-ray, optical and infrared data, as well as AGN selection criteria allow us to classify 10 per cent as radio-loud AGN, 28 percent as radio-quiet AGN, and 58 per cent as star-forming galaxies, with only 4 per cent unclassified.

Cone search capability for table J/MNRAS/462/2934/cat3ghz (3GHz source catalog)

Cone search capability for table J/MNRAS/462/2934/catcrx (X-ray, optical, IR, and radio cross matches)

Identifier
Source https://dc.g-vo.org/rr/q/lp/custom/CDS.VizieR/J/MNRAS/462/2934
Related Identifier https://cdsarc.cds.unistra.fr/viz-bin/cat/J/MNRAS/462/2934
Related Identifier http://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/MNRAS/462/2934
Metadata Access http://dc.g-vo.org/rr/q/pmh/pubreg.xml?verb=GetRecord&metadataPrefix=oai_b2find&identifier=ivo://CDS.VizieR/J/MNRAS/462/2934
Provenance
Creator Vernstrom T.S.; Scott D.; Wall J.V.; Condon J.J.; Cotton W.D.,Kellermann K.I.; Perley R.A.
Publisher CDS
Publication Year 2016
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