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Spectroscopic Target Selection in the Sloan Digital Sky Survey: The Quasar Sample
Journal article   Open access

Spectroscopic Target Selection in the Sloan Digital Sky Survey: The Quasar Sample

Gordon T Richards, Xiaohui Fan, Heidi Jo Newberg, Michael A Strauss, Daniel E. Vanden Berk, Donald P Schneider, Brian Yanny, Adam Boucher, Scott Burles, Joshua A Frieman, …
The Astronomical journal, v 123(6), pp 2945-2975
13 Feb 2002
url
https://arxiv.org/abs/astro-ph/0202251View

Abstract

Physics - Astrophysics of Galaxies Physics - Cosmology and Nongalactic Astrophysics Physics - Earth and Planetary Astrophysics Physics - High Energy Astrophysical Phenomena Physics - Instrumentation and Methods for Astrophysics Physics - Solar and Stellar Astrophysics
Astron.J.123:2945,2002 We describe the algorithm for selecting quasar candidates for optical spectroscopy in the Sloan Digital Sky Survey. Quasar candidates are selected via their non-stellar colors in "ugriz" broad-band photometry, and by matching unresolved sources to the FIRST radio catalogs. The automated algorithm is sensitive to quasars at all redshifts lower than z=5.8. Extended sources are also targeted as low-redshift quasar candidates in order to investigate the evolution of Active Galactic Nuclei (AGN) at the faint end of the luminosity function. Nearly 95% of previously known quasars are recovered (based on 1540 quasars in 446 square degrees). The overall completeness, estimated from simulated quasars, is expected to be over 90%, whereas the overall efficiency (quasars:quasar candidates) is better than 65%. The selection algorithm targets ultraviolet excess quasars to i^*=19.1 and higher-redshift (z>3) quasars to i^*=20.2, yielding approximately 18 candidates per square degree. In addition to selecting ``normal'' quasars, the design of the algorithm makes it sensitive to atypical AGN such as Broad Absorption Line quasars and heavily reddened quasars.

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Astronomy & Astrophysics
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