Efficient Photometric Selection of Quasars from the Sloan Digital Sky Survey: II. ~1,000,000 Quasars from Data Release Six
Gordon T. Richards (1), Adam D. Myers (2), Alexander G. Gray (3), Ryan, N. Riegel (3), Robert C. Nichol (4), Robert J. Brunner (2), Alexander S., Szalay (5), Donald P. Schneider (6), Scott F. Anderson (7) ((1) Drexel, University, (2) University of Illinois, (3) Georgia Tech

TL;DR
This paper presents a large catalog of over 1.17 million quasar candidates from SDSS DR6, including photometric redshifts and multi-wavelength cross-matches, significantly expanding known quasar samples for statistical studies.
Contribution
The study provides the largest photometric quasar catalog to date, with improved selection techniques and comprehensive data, enabling detailed statistical and evolutionary analyses of quasars.
Findings
Catalog contains over 1.17 million quasar candidates.
Efficiency of robust UV-excess selection is nearly 97%.
Confirms flattening of the bright-end slope of the quasar luminosity function at z~4.
Abstract
We present a catalog of 1,172,157 quasar candidates selected from the photometric imaging data of the Sloan Digital Sky Survey (SDSS). The objects are all point sources to a limiting magnitude of i=21.3 from 8417 sq. deg. of imaging from SDSS Data Release 6 (DR6). This sample extends our previous catalog by using the latest SDSS public release data and probing both UV-excess and high-redshift quasars. While the addition of high-redshift candidates reduces the overall efficiency (quasars:quasar candidates) of the catalog to ~80%, it is expected to contain no fewer than 850,000 bona fide quasars -- ~8 times the number of our previous sample, and ~10 times the size of the largest spectroscopic quasar catalog. Cross-matching between our photometric catalog and spectroscopic quasar catalogs from both the SDSS and 2dF Surveys, yields 88,879 spectroscopically confirmed quasars. For judicious…
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