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18 April 2024 |
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Photometric Redshifts for the SDSS Early Data Release | | Istvan Csabai
; Tamas Budavari
; Andrew J. Connolly
; Alexander S. Szalay
; Zsuzsanna Gyory
; Narciso Benitez
; Jim Annis
; Jon Brinkmann
; Daniel Eisenstein
; Masataka Fukugita
; Jim Gunn
; Stephen Kent
; Robert Lupton
; Robert C. Nichol
; Chris Stoughton
; | | Date: |
5 Nov 2002 | | Journal: | Astron.J. 125 (2003) 580 | | Subject: | astro-ph | | Abstract: | The Early Data Release from the Sloan Digital Sky survey provides one of the largest multicolor photometric catalogs currently available to the astronomical community. In this paper we present the first application of photometric redshifts to the $sim 6$ million extended sources within these data (with 1.8 million sources having $r’ < 21$). Utilizing a range of photometric redshift techniques, from empirical to template and hybrid techniques, we investigate the statistical and systematic uncertainties present within the redshift estimates for the EDR data. For $r’<21$ we find that the redshift estimates provide realistic redshift histograms with an rms uncertainty in the photometric 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 derived quantities, such as spectral type, restframe colors and absolute magnitudes, are stored within the SDSS database. We provide sample queries for searching on photometric redshifts and list the current caveats and issues that should be understood before using these photometric redshifts in statistical analyses of the SDSS galaxies. | | Source: | arXiv, astro-ph/0211080 | | Services: | Forum | Review | PDF | Favorites | |
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