LBDS-Lynx region GMRT 150-MHz obs.

DOI

It has been known for nearly three decades that high-redshift radio galaxies exhibit steep radio spectra, and hence ultrasteep spectrum radio sources provide candidates for high-redshift radio galaxies. Nearly all radio galaxies with z>3 have been found using this redshift-spectral index correlation. We have started a programme with the Giant Metrewave Radio Telescope (GMRT) to exploit this correlation at flux density levels about 10 to 100 times deeper than the known high-redshift radio galaxies which were identified primarily using the already available radio catalogues. In our programme, we have obtained deep, high-resolution radio observations at 150MHz with GMRT for several "deep" fields which are well studied at higher radio frequencies and in other bands of the electromagnetic spectrum, with an aim to detect candidate high-redshift radio galaxies. In this paper we present results from the deep 150-MHz observations of the LBDS-Lynx field (Leiden-Berkeley Deep Survey), which has been already imaged at 327, 610 and 1412MHz with the Westerbork Synthesis Radio Telescope and at 1400 and 4860MHz with the Very Large Array.

Cone search capability for table J/MNRAS/405/436/table3 (GMRT 150-MHz sources)

Cone search capability for table J/MNRAS/405/436/table4 (Steep spectrum sources which do not have counterparts in the SDSS)

Identifier
DOI http://doi.org/10.26093/cds/vizier.74050436
Source https://dc.g-vo.org/rr/q/lp/custom/CDS.VizieR/J/MNRAS/405/436
Related Identifier https://cdsarc.cds.unistra.fr/viz-bin/cat/J/MNRAS/405/436
Related Identifier https://vizier.cds.unistra.fr/viz-bin/VizieR-2?-source=J/MNRAS/405/436
Metadata Access http://dc.g-vo.org/rr/q/pmh/pubreg.xml?verb=GetRecord&metadataPrefix=oai_b2find&identifier=ivo://CDS.VizieR/J/MNRAS/405/436
Provenance
Creator Ishwara-Chandra C.H.; Sirothia S.K.; Wadadekar Y.; Pal S.; Windhorst R.
Publisher CDS
Publication Year 2011
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; Galactic and extragalactic Astronomy; Natural Sciences; Physics