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A Blind Test of Photometric Redshift Prediction
Author(s) -
David W. Hogg,
Judith G. Cohen,
R. D. Blandford,
Stephen Gwyn,
F. D. A. Hartwick,
Bahram Mobasher,
P. Mazzei,
Marcin Sawicki,
H. Lin,
H. K. C. Yee,
Andrew J. Connolly,
Róbert Brunner,
István Csabai,
Mark Dickinson,
Mark SubbaRao,
Alexander S. Szalay,
A. Fernández-Soto,
Kenneth M. Lanzetta,
A. Yahil
Publication year - 1998
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 - 10.1086/300277
Subject(s) - redshift , photometric redshift , physics , astrophysics , galaxy , hubble deep field , hubble ultra deep field , redshift survey , hubble space telescope , photometry (optics) , astronomy , stars
Results of a blind test of photometric redshift predictions againstspectroscopic galaxy redshifts obtained in the Hubble Deep Field with the KeckTelescope are presented. The best photometric redshift schemes predictspectroscopic redshifts with a redshift accuracy of |Delta-z|<0.1 for more than68 percent of sources and with |Delta-z|<0.3 for 100 percent, whensingle-feature spectroscopic redshifts are removed from consideration. Thistest shows that photometric redshift schemes work well at least when thephotometric data are of high quality and when the sources are at moderateredshifts.Comment: 14 pp., accepted for publication in A

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