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G.T. Richards (Princeton), R.C. Nichol, A.G. Gray (CMU), R.J. Brunner (Illinois), R.H. Lupton (Princeton), D.E. Vanden Berk (Pittsburgh)
We present and analyze a catalog of ~90,000 UV-excess quasar candidates to g=21 from the imaging data of the Sloan Digital Sky Survey (SDSS) First Data Release (DR1). Candidates were selected using a Kernel Density Estimation (KDE) algorithm that is up to 95% efficient in its selection of unresolved UVX quasars while maintaining over 80% completeness to confirmed DR1 quasars and providing for accurate photometric redshifts. We highlight possible science applications of such a large photometric sample of quasars and discuss future improvements, including incorporating magnitudes and pushing to higher redshifts and fainter quasars.
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Bulletin of the American Astronomical Society, 35#5
© 2003. The American Astronomical Soceity.