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Title:
Spectroscopic Target Selection in the Sloan Digital Sky Survey: The Quasar Sample
Authors:
Richards, Gordon T.; Fan, Xiaohui; Newberg, Heidi Jo; Strauss, Michael A.; Vanden Berk, Daniel E.; Schneider, Donald P.; Yanny, Brian; Boucher, Adam; Burles, Scott; Frieman, Joshua A.; Gunn, James E.; Hall, Patrick B.; Ivezić, Željko; Kent, Stephen; Loveday, Jon; Lupton, Robert H.; Rockosi, Constance M.; Schlegel, David J.; Stoughton, Chris; SubbaRao, Mark; York, Donald G.
Affiliation:
AA(Department of Astronomy and Astrophysics, Pennsylvania State University, 525 Davey Laboratory, University Park, PA 16802.), AB(Institute for Advanced Study, Olden Lane, Princeton, NJ 08540.), AC(Physics Department, Rensselaer Polytechnic Institute, SC1C25, 110 8th Street, Troy, NY 12180.), AD(Princeton University Observatory, Peyton Hall, Ivy Lane, Princeton, NJ 08544.), AE(Fermi National Accelerator Laboratory, P.O. Box 500, Batavia, IL 60510.), AF(Department of Astronomy and Astrophysics, Pennsylvania State University, 525 Davey Laboratory, University Park, PA 16802.), AG(Fermi National Accelerator Laboratory, P.O. Box 500, Batavia, IL 60510.), AH(Physics Department, Rensselaer Polytechnic Institute, SC1C25, 110 8th Street, Troy, NY 12180.), AI(Fermi National Accelerator Laboratory, P.O. Box 500, Batavia, IL 60510.; Department of Astronomy and Astrophysics, University of Chicago, 5640 South Ellis Avenue, Chicago, IL 60637.), AJ(Fermi National Accelerator Laboratory, P.O. Box 500, Batavia, IL 60510.; Department of Astronomy and Astrophysics, University of Chicago, 5640 South Ellis Avenue, Chicago, IL 60637.), AK(Princeton University Observatory, Peyton Hall, Ivy Lane, Princeton, NJ 08544.), AL(Princeton University Observatory, Peyton Hall, Ivy Lane, Princeton, NJ 08544.; Pontificia Universidad Católica de Chile, Departamento de Astronomía y Astrofísica, Facultad de Física, Casilla 306, Santiago 22, Chile.), AM(Princeton University Observatory, Peyton Hall, Ivy Lane, Princeton, NJ 08544.), AN(Fermi National Accelerator Laboratory, P.O. Box 500, Batavia, IL 60510.; Department of Astronomy and Astrophysics, University of Chicago, 5640 South Ellis Avenue, Chicago, IL 60637.), AO(Astronomy Centre, University of Sussex, Falmer, BrightonBN1 9QJ, UK.), AP(Princeton University Observatory, Peyton Hall, Ivy Lane, Princeton, NJ 08544.), AQ(Department of Astronomy and Astrophysics, University of Chicago, 5640 South Ellis Avenue, Chicago, IL 60637.), AR(Princeton University Observatory, Peyton Hall, Ivy Lane, Princeton, NJ 08544.), AS(Fermi National Accelerator Laboratory, P.O. Box 500, Batavia, IL 60510.), AT(Department of Astronomy and Astrophysics, University of Chicago, 5640 South Ellis Avenue, Chicago, IL 60637.), AU(Department of Astronomy and Astrophysics, University of Chicago, 5640 South Ellis Avenue, Chicago, IL 60637.; Enrico Fermi Institute, University of Chicago, 5640 South Ellis Avenue, Chicago, IL 60637.)
Publication:
The Astronomical Journal, Volume 123, Issue 6, pp. 2945-2975. (AJ Homepage)
Publication Date:
06/2002
Origin:
UCP
AJ Keywords:
Galaxies: Quasars: General, Surveys
DOI:
10.1086/340187
Bibliographic Code:
2002AJ....123.2945R

Abstract

We describe the algorithm for selecting quasar candidates for optical spectroscopy in the Sloan Digital Sky Survey. Quasar candidates are selected via their nonstellar colors in ugriz broadband 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 (AGNs) at the faint end of the luminosity function. Nearly 95% of previously known quasars are recovered (based on 1540 quasars in 446 deg2). 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 deg-2. In addition to selecting ``normal'' quasars, the design of the algorithm makes it sensitive to atypical AGNs such as broad absorption line quasars and heavily reddened quasars.
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