redMaGiC : selecting luminous red galaxies from the DES Science Verification data

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Rozo, Eduardo; Rykoff, Eli; Abate, Alexandra; Bonnet, Christopher Clive; Crocce, Martin; Davis, Christopher P.; Hoyle, Ben; Leistedt, Boris; Peiris, Hiranya V.; Wechsler, Risa H.; Abbott, Timothy M. C.; Abdalla, Filipe B.; Banerji, M.; Bauer, Anne Hollister; Benoit-Lévy, Aurélien; Bernstein, Gary M.; Bertin, Emmanuel; Brooks, D.; Buckley-Geer, Elizabeth; Burke, David Lyle; Capozzi, Diego; Carnero Rosell, Aurelio; Carollo, Daniela; Carrasco Kind, Matías; Carretero Palacios, Jorge; Castander Serentill, Francisco Javier; Childress, Michael; Cunha, Carlos Eduardo; D'Andrea, Christopher B.; Davis, Tamara M.; ... view all 88 authors
(2016)
  • Subject: Fotometria astronômica | Deslocamento para o vermelho | Galáxias | statistical [Methods] | photometric [Techniques] | general [Galaxies]

We introduce redMaGiC, an automated algorithm for selecting luminous red galaxies (LRGs). The algorithm was specifically developed to minimize photometric redshift uncertainties in photometric large-scale structure studies. redMaGiC achieves this by self-training the co... View more
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