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MegaZ-LRG: a photometric redshift catalogue of one million SDSS luminous red galaxies
Authors:Adrian Collister  Ofer Lahav  Chris Blake  Russell Cannon  Scott Croom  Michael Drinkwater  Alastair Edge  Daniel Eisenstein  Jon Loveday  Robert Nichol  Kevin Pimbblet  Roberto De Propris  Isaac Roseboom  Nic Ross  Donald P Schneider  Tom Shanks  David Wake
Institution:Institute of Astronomy, University of Cambridge, Cambridge CB3 0HA;Department of Physics &Astronomy, University College London, Gower Street, London WC1E 6BT;Department of Physics &Astronomy, University of British Columbia, 6224 Agricultural Road, Vancouver, BC V6T 1Z1, Canada;Centre for Astrophysics &Supercomputing, Swinburne University of Technology, PO Box 218, Hawthorn, VIC 3122, Australia;Anglo-Australian Observatory, PO Box 296, Epping, NSW 1710, Australia;Department of Physics, University of Queensland, Brisbane, QLD 4072, Australia;Department of Physics, University of Durham, South Road, Durham DH1 3LE;Steward Observatory, University of Arizona, 933 N. Cherry Ave, Tucson, AZ 85721, USA;Astronomy Centre, University of Sussex, Falmer, Brighton BN1 9QJ;Institute of Cosmology and Gravitation, University of Portsmouth, Portsmouth PO1 2EG;Cerro Tololo Inter-American Observatory, Casilla 603, La Serena, Chile;Department of Astronomy &Astrophysics, The Pennsylvania State University, 525 Davey Laboratory, University Park, PA 16802, USA
Abstract:We describe the construction of MegaZ-LRG, a photometric redshift catalogue of over one million luminous red galaxies (LRGs) in the redshift range  0.4 < z < 0.7  with limiting magnitude   i < 20  . The catalogue is selected from the imaging data of the Sloan Digital Sky Survey (SDSS) Data Release 4. The 2dF-SDSS LRG and Quasar (2SLAQ) spectroscopic redshift catalogue of 13 000 intermediate-redshift LRGs provides a photometric redshift training set, allowing use of ann z, a neural network-based photometric-redshift estimator. The rms photometric redshift accuracy obtained for an evaluation set selected from the 2SLAQ sample is  σ z = 0.049  averaged over all galaxies, and  σ z = 0.040  for a brighter subsample  ( i < 19.0)  . The catalogue is expected to contain ∼5 per cent stellar contamination. The ann z code is used to compute a refined star/galaxy probability based on a range of photometric parameters; this allows the contamination fraction to be reduced to 2 per cent with negligible loss of genuine galaxies. The MegaZ-LRG catalogue is publicly available on the World Wide Web from http://www.2slaq.info .
Keywords:catalogues  surveys  galaxies: distances and redshifts  cosmology: observations
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