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The Application of Photometric Redshifts to the SDSS Early Data Release
Author(s) -
István Csabai,
Tamás Budavári,
Andrew J. Connolly,
Alexander S. Szalay,
Zsuzsanna Györy,
N. Benı́tez,
Jim Annis,
J. Brinkmann,
Daniel J. Eisenstein,
M. Fukugita,
Jim Gunn,
S. Kent,
Robert H. Lupton,
R. C. Nichol,
Chris Stoughton
Publication year - 2003
Publication title -
the astronomical journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.61
H-Index - 271
eISSN - 1538-3881
pISSN - 0004-6256
DOI - 10.1086/345883
Subject(s) - redshift , photometric redshift , astrophysics , sky , physics , galaxy , photometry (optics) , astronomy , stars
The Early Data Release from the Sloan Digital Sky survey provides one of thelargest multicolor photometric catalogs currently available to the astronomicalcommunity. In this paper we present the first application of photometricredshifts to the $\sim 6$ million extended sources within these data (with 1.8million sources having $r' < 21$). Utilizing a range of photometric redshifttechniques, from empirical to template and hybrid techniques, we investigatethe statistical and systematic uncertainties present within the redshiftestimates for the EDR data. For $r'<21$ we find that the redshift estimatesprovide realistic redshift histograms with an rms uncertainty in thephotometric redshift relation of 0.035 at $r'<18$ and rising to 0.1 at $r'<21$.We conclude by describing how these photometric redshifts and derivedquantities, such as spectral type, restframe colors and absolute magnitudes,are stored within the SDSS database. We provide sample queries for searching onphotometric redshifts and list the current caveats and issues that should beunderstood before using these photometric redshifts in statistical analyses ofthe SDSS galaxies.Comment: 33 pages, 16 figure

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