| 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.; IveziÄ, Željko; Kent, Stephen; Loveday, Jon; Lupton, Robert H.; Rockosi, Constance M.; Schlegel, David J.; Stoughton, Chris; SubbaRao, Mark; York, Donald G. |
| 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. |
