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A blind test of photometric redshift prediction

  • David W. Hogg
  • , Judith G. Cohen
  • , Roger Blandford
  • , Stephen D.J. Gwyn
  • , F. D.A. Hartwick
  • , B. Mobasher
  • , Paula Mazzei
  • , Marcin Sawicki
  • , Huan Lin
  • , H. K.C. Yee
  • , Andrew J. Connolly
  • , Robert J. Brunner
  • , Istvan Csabai
  • , Mark Dickinson
  • , Mark U. SubbaRao
  • , Alexander S. Szalay
  • , Alberto Fernández-Soto
  • , Kenneth M. Lanzetta
  • , Amos Yahil
  • California Institute of Technology
  • Institute for Advanced Studies
  • University of Victoria BC
  • Imperial College London
  • Osservatorio Astronomico
  • University of Toronto
  • Johns Hopkins University
  • Eötvös Loránd University
  • Space Telescope Science Institute
  • University of New South Wales
  • Stony Brook University

Research output: Contribution to journalArticlepeer-review

93 Scopus citations

Abstract

Results of a blind test of photometric redshift predictions against spectroscopic galaxy redshifts obtained in the Hubble Deep Field with the Keck Telescope are presented. The best photometric redshift schemes predict spectroscopic redshifts with a redshift accuracy of Δz < 0.1 for more than 68% of sources and with Δz < 0.3 for 100%, when single-feature spectroscopic redshifts are removed from consideration. This test shows that photometric redshift schemes work well, at least when the photometric data are of high quality and when the sources are at moderate redshifts.

Original languageEnglish
Pages (from-to)1418-1422
Number of pages5
JournalAstronomical Journal
Volume115
Issue number4
DOIs
StatePublished - Apr 1998

Keywords

  • Galaxies: distances and redshifts
  • Galaxies: photometry
  • Methods: miscellaneous
  • Techniques: photometric
  • Techniques: spectroscopic

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