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Photometric redshift analysis in the Dark Energy Survey science verification data

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Photometric redshift analysis in the Dark Energy Survey science verification data

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Título Photometric redshift analysis in the Dark Energy Survey science verification data
Autor Sánchez Alonso, Carles
Carrasco Kind, Matías
Lin, H.
Serra Ricart, Miquel
Abdalla, Filipe B.
Amara, Adam
Banerji, M.
Bonnet, Christopher Clive
Brunner, Robert J.
Capozzi, Diego
Carnero Rosell, Aurelio
Castander Serentill, Francisco Javier
Costa, Luiz N. da
Cunha, Carlos Eduardo
Fausti Neto, Angelo
Gerdes, David W.
Greisel, N.
Gschwend, Julia de Figueiredo
Hartley, William
Jouvel, Stéphanie
Lahav, Ofer
Lima, Marcos Vinicius Borges Teixeira
Maia, Marcio Antonio Geimba
Martí, P.
Ogando, Ricardo L.C.
Ostrovski, F.
Pellegrini, Paulo Sérgio de Souza
Rau, Markus Michael
Sadeh, Iftach
Seitz, Stella
Sevilla Noarbe, Ignacio
Sypniewski, Adam J.
Vicente, J. de
Abbott, Timothy M. C.
Allam, Sahar S.
Atlee, David
Bernstein, Gary M.
Bernstein, Joseph P.
Buckley-Geer, Elizabeth
Burke, David Lyle
Childress, Michael
Davis, Tamara M.
DePoy, Darren L.
Dey, Arjun
Desai, S.
Diehl, H. Thomas
Doel, Peter
Estrada, Juan
Evrard, August E.
Fernandez, Enrique
Finley, David A.
Flaugher, Brenna
Frieman, Joshua A.
Gaztañaga, Enrique
Glazebrook, Karl
Honscheid, K.
Kim, A.
Kuehn, Kyler
Kuropatkin, Nikolay P.
Lidman, Chris
Makler, Martín
Marshall, Jennifer L.
Nichol, Robert C.
Roodman, Aaron
Sanchez-Alvaro, Eusebio
Santiago, Basilio Xavier
Sako, Masao
Scalzo, Richard
Smith, Robert Christopher
Swanson, Molly E. C.
Tarle, Gregory
Thomas, D.
Tucker, Douglas L.
Uddin, Syed
Valdes, Francisco
Walker, Alistair
Yuan, Fang
Zuntz, J.
Abstract We present results from a study of the photometric redshift performance of the Dark Energy Survey (DES), using the early data from a Science Verification period of observations in late 2012 and early 2013 that provided science-quality images for almost 200 sq. deg. at the nominal depth of the survey.We assess the photometric redshift (photo-z) performance using about 15 000 galaxies with spectroscopic redshifts available from other surveys. These galaxies are used, in different configurations, as a calibration sample, and photo-z’s are obtained and studied using most of the existing photo-z codes. A weighting method in a multidimensional colour–magnitude space is applied to the spectroscopic sample in order to evaluate the photo-z performance with sets that mimic the full DES photometric sample, which is on average significantly deeper than the calibration sample due to the limited depth of spectroscopic surveys. Empirical photo-z methods using, for instance, artificial neural networks or random forests, yield the best performance in the tests, achieving core photo-z resolutions σ68 ∼ 0.08. Moreover, the results from most of the codes, including template-fitting methods, comfortably meet the DES requirements on photo-z performance, therefore, providing an excellent precedent for future DES data sets.
Contido em Monthly notices of the Royal Astronomical Society. Oxford. Vol. 445, no. 2 (Dec. 2014), p. 1482-1506
Assunto Mapeamentos astronômicos
[en] Astronomical data bases: surveys
[en] Galaxies: distances and redshifts
[en] Galaxies: statistics
[en] Large-scale structure of Universe
Origem Estrangeiro
Tipo Artigo de periódico
URI http://hdl.handle.net/10183/115354
Arquivos Descrição Formato
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