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

Research output: Contribution to journalArticlepeer-review


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 (US)
Pages (from-to)1418-1422
Number of pages5
JournalAstronomical Journal
Issue number4
StatePublished - Apr 1998
Externally publishedYes


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

ASJC Scopus subject areas

  • Astronomy and Astrophysics
  • Space and Planetary Science


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