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The Zurich Extragalactic Bayesian Redshift Analyzer and its first application: COSMOS

Feldmann, R. and Carollo, C. M. and Porciani, C. and Lilly, S. J. and Capak, P. and Taniguchi, Y. and Le Fèvre, O. and Renzini, A. and Scoville, N. and Ajiki, M. and Aussel, H. and Contini, T. and McCracken, H. and Mobasher, B. and Murayama, T. and Sanders, D. and Sasaki, S. and Scarlata, C. and Scodeggio, M. and Shioya, Y. and Silverman, J. and Takahashi, M. and Thompson, D. and Zamorani, G. (2006) The Zurich Extragalactic Bayesian Redshift Analyzer and its first application: COSMOS. Monthly Notices of the Royal Astronomical Society, 372 (2). pp. 565-577. ISSN 0035-8711. doi:10.1111/j.1365-2966.2006.10930.x.

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We present the Zurich Extragalactic Bayesian Redshift Analyzer (ZEBRA). The current version of ZEBRA combines and extends several of the classical approaches to produce accurate photometric redshifts down to faint magnitudes. In particular, ZEBRA uses the template-fitting approach to produce Maximum Likelihood and Bayesian redshift estimates based on the following points. (i) An automatic iterative technique to correct the original set of galaxy templates to best represent the Spectral Energy Distributions (SEDs) of real galaxies at different redshifts. (ii) A training set of spectroscopic redshifts for a small fraction of the photometric sample to improve the robustness of the photometric redshift estimates. (iii) An iterative technique for Bayesian redshift estimates, which extracts the full two-dimensional redshift and template probability function for each galaxy. We demonstrate the performance of ZEBRA by applying it to a sample of 866 I_AB ⩽ 22.5 COSMOS galaxies with available u*, B, V, g', r', i', z' and K_s photometry and zCOSMOS spectroscopic redshifts in the range 0 < z < 1.3 . Adopting a 5σ clipping that excludes ⩽10 galaxies, both the Maximum Likelihood and Bayesian ZEBRA estimates for this sample have an accuracy σ_(Δz/(1+z)) smaller than 0.03. Similar accuracies are recovered using mock galaxies.

Item Type:Article
Related URLs:
URLURL TypeDescription
Feldmann, R.0000-0002-1109-1919
Carollo, C. M.0000-0003-1624-7609
Lilly, S. J.0000-0002-6423-3597
Capak, P.0000-0003-3578-6843
Taniguchi, Y.0000-0003-2247-3741
Le Fèvre, O.0000-0001-5891-2596
Renzini, A.0000-0002-7093-7355
Scoville, N.0000-0002-0438-3323
Aussel, H.0000-0002-1371-5705
McCracken, H.0000-0002-9489-7765
Sanders, D.0000-0002-1233-9998
Scarlata, C.0000-0002-9136-8876
Silverman, J.0000-0002-0000-6977
Additional Information:© 2006 The Authors. Journal compilation © 2006 RAS. Accepted 2006 August 2. Received 2006 July 1; in original form 2006 May 8. We thank the anonymous referee for the helpful comments, which have improved the presentation of this paper, and Manfred Kitzbichler for making available to the COSMOS collaboration the mock catalogue used in this work. This work is based on observations taken with the following. (i) The NASA/ESA Hubble Space Telescope, obtained at the Space Telescope Science Institute, which is operated by AURA, Inc., under NASA contract NAS 5-26555. (ii) The Subaru Telescope, which is operated by the National Astronomical Observatory of Japan. (iii) Facilities at the European Southern Observatory, Chile. (iv) Facilities at the Cerro Tololo Inter-American Observatory and at the National Optical Astronomy Observatory, which are operated by the Association of Universities for Research in Astronomy, Inc. (AURA) under cooperative agreement with the National Science Foundation. (v) The CFHT operated by the National Research Council of Canada, the Centre National de la Recherche Scientifique de France and the University of Hawaii. T. Lisker is acknowledged for helping with a preliminary reduction of a fraction of the ground-based near-IR data.
Group:COSMOS, Infrared Processing and Analysis Center (IPAC)
Subject Keywords:methods: statistical; galaxies: distances and redshifts; galaxies: evolution; galaxies: formation; galaxies: photometry
Issue or Number:2
Record Number:CaltechAUTHORS:FELmnras06
Persistent URL:
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:13756
Deposited By: Tony Diaz
Deposited On:09 Jul 2009 22:48
Last Modified:08 Nov 2021 22:40

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