A Fully-Identified Sample of AEGIS20 Microjansky Radio Sources
arXiv:1206.4571 · doi:10.1088/0004-637X/756/1/72
Abstract
Infrared 3.6 to 8 micron images of the Extended Groth Strip yield plausible counterpart identifications for all but one of 510 radio sources in the AEGIS20 S(1.4 GHz) > 50 micro-Jy sample. This is the first such deep sample that has been effectively 100% identified. Achieving the same identification rate at R-band would require observations reaching R_AB > 27. Spectroscopic redshifts are available for 46% of the sample and photometric redshifts for an additional 47%. Almost all of the sources with 3.6 micron AB magnitudes brighter than 19 have spectroscopic redshifts z < 1.1, while fainter objects predominantly have photometric redshifts with 1 \lapprox z \lapprox 3. Unlike more powerful radio sources that are hosted by galaxies having large stellar masses within a relatively narrow range, the AEGIS20 counterparts have stellar masses spanning more than a factor of 10 at z \sim 1. The sources are roughly 10--15% starbursts at z \lapprox 0.5 and 20--25% AGNs mostly at z > 1 with the remainder of uncertain nature.
Accepted by ApJ
References in corpus (10)
- The All-wavelength Extended Groth Strip International Survey (AEGIS) Data Sets
- The Massive Hosts of Radio Galaxies Across Cosmic Time
- Radio imaging of the Subaru/XMM-Newton Deep Field - I. The 100-microJy catalogue, optical identifications, and the nature of the faint radio source population
- A catalog of mid-infrared sources in the Extended Groth Strip
- AEGIS20: a radio survey of the Extended Groth Strip
- The Local Galaxy 8 micron Luminosity Function
- IRS Spectroscopy and Multi-wavelength Study of Luminous Star-forming Galaxies at z~1.9
- The VLA Survey of the Chandra Deep Field South. II. Identification and host galaxy properties of submillijansky sources
- AEGIS: Radio and Mid-Infrared Selection of Obscured AGN Candidates
- A new search for distant radio galaxies in the Southern hemisphere -- III. Optical spectroscopy and analysis of the MRCR--SUMSS sample