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19 April 2024
 
  » arxiv » astro-ph/0607630

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MegaZ-LRG: A photometric redshift catalogue of one million SDSS Luminous Red Galaxies
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 ;
Date 27 Jul 2006
AbstractWe 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 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 ANNz, a neural network-based photometric-redshift estimator. The rms photometric redshift accuracy obtained for an evaluation set selected from the 2SLAQ sample is sigma_z = 0.049 averaged over all galaxies, and sigma_z = 0.040 for a brighter subsample (i < 19.0). The catalogue is expected to contain ~5 per cent stellar contamination. The ANNz 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 this http URL .
Source arXiv, astro-ph/0607630
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