THE LAST OF FIRST: THE FINAL CATALOG AND SOURCE IDENTIFICATIONS
By D. Helfand, R. White, Robert H. Becker. 2015
154 citations recorded by the source corpus.
The FIRST survey, begun over 20 years ago, provides the definitive high-resolution map of the radio sky. This Very Large Telescope (VLA) survey reaches a detection sensitivity of 1 mJy at 20 cm over a final footprint of 10,575 deg2 that is largely coincident with the Sloan Digital Sky Survey (SDSS) area. Both the images and a catalog containing 946,432 sources are available through the FIRST Web site (http://sundog.stsci.edu). We record here the authoritative survey history, including hardware and software changes that affect the catalog's reliability and completeness. In particular, we use recent observations taken with the JVLA to test various aspects of the survey data (astrometry, CLEAN bias, and the flux density scale). We describe a new, sophisticated algorithm for flagging potential sidelobes in this snapshot survey, and show that fewer than 10% of the cataloged objects are likely sidelobes, and that these are heavily concentrated at low flux densities and in the vicinity of bright sources, as expected. We also report a comparison of the survey with the NRAO VLA Sky Survey (NVSS), as well as a match of the FIRST catalog to the SDSS and Two Micron Sky Survey (2MASS) sky surveys. The NVSS match shows very good consistency in flux density scale and astrometry between the two surveys. The matches with 2MASS and SDSS indicate a systematic ∼10–20 mas astrometric error with respect to the optical reference frame in all VLA data that has disappeared with the advent of the JVLA. We demonstrate strikingly different behavior between the radio matches to stellar objects and to galaxies in the optical and IR surveys reflecting the different radio populations present over the flux density range 1–1000 mJy. As the radio flux density declines, stellar counterparts (quasars) get redder and fainter, while galaxies get brighter and have colors that initially redden but then turn bluer near the FIRST detection limit. Implications for future radio sky surveys are also briefly discussed. In particular, we show that for radio source identification at faint optical magnitudes, high angular resolution observations are essential, and cannot be sacrificed in exchange for high signal-to-noise data. The value of a JVLA survey as a complement to Square Kilometer Array precursor surveys is briefly discussed.
Subfields: Astronomy and Astrophysics, Atomic and Molecular Physics, and Optics
View Paper: https://www.semanticscholar.org/paper/7bda3a6991dde414547dcb6a6ce2bd613fcd7095
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In Astronomy and Astrophysics
- D. Schneider
- Will J. Percival
- P. Hopkins
- J. Brinkmann
- L. Hernquist
- Daniel J. Eisenstein
- David Schlegel
- D. Weinberg
In Atomic and Molecular Physics, and Optics
- D. Schneider
- J. Brownstein
- Jean-Paul Kneib
- S. Burke-Spolaor
- J. Brinkmann
- M. Birkinshaw
- P. Martini
- Shrinivas R. Kulkarni
Citations in the corpus
- The Karl G. Jansky Very Large Array Sky Survey (VLASS). Science Case and Survey Design (2019, background): “In this regard, Helfand et al. (2015) make a case for high angular resolution to make reliable cross-identifications in the next generation of deep optical/near-infrared surveys.”
- THE SDSS-IV EXTENDED BARYON OSCILLATION SPECTROSCOPIC SURVEY: QUASAR TARGET SELECTION (2015, methodology): “Radio selection eBOSS also targets all SDSS point sources that are within 1′′ of a radio detection in the 13 June 05 version11 of the FIRST point source catalog (Becker et al. 1995; Helfand et al. 2015).”
- The Sloan Digital Sky Survey Quasar Catalog: Sixteenth Data Release (2020, methodology): “Sources in DR16Q are matched to the 2014 December version of the FIRST42 catalog (e.g., Helfand et al. 2015), using a 2 0 radius.”
- The GMRT 150 MHz all-sky radio survey - First alternative data release TGSS ADR1 (2016, methodology): “…to be learned from past successful centimeter surveys is that future radio surveys must have sufficient angular resolution to enable arcsecond source identification at other wavelengths (Helfand et al. 2015), while retaining sensitivity to low surface brightness emission (Condon et al. 1998).”