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dc.contributor.authorSánchez Alonso, Carlespt_BR
dc.contributor.authorCarrasco Kind, Matíaspt_BR
dc.contributor.authorLin, H.pt_BR
dc.contributor.authorSerra Ricart, Miquelpt_BR
dc.contributor.authorAbdalla, Filipe B.pt_BR
dc.contributor.authorAmara, Adampt_BR
dc.contributor.authorBanerji, M.pt_BR
dc.contributor.authorBonnet, Christopher Clivept_BR
dc.contributor.authorBrunner, Robert J.pt_BR
dc.contributor.authorCapozzi, Diegopt_BR
dc.contributor.authorCarnero Rosell, Aureliopt_BR
dc.contributor.authorCastander Serentill, Francisco Javierpt_BR
dc.contributor.authorCosta, Luiz N. dapt_BR
dc.contributor.authorCunha, Carlos Eduardopt_BR
dc.contributor.authorFausti Neto, Angelopt_BR
dc.contributor.authorGerdes, David W.pt_BR
dc.contributor.authorGreisel, N.pt_BR
dc.contributor.authorGschwend, Julia de Figueiredopt_BR
dc.contributor.authorHartley, Williampt_BR
dc.contributor.authorJouvel, Stéphaniept_BR
dc.contributor.authorLahav, Oferpt_BR
dc.contributor.authorLima, Marcos Vinicius Borges Teixeirapt_BR
dc.contributor.authorMaia, Marcio Antonio Geimbapt_BR
dc.contributor.authorMartí, P.pt_BR
dc.contributor.authorOgando, Ricardo L.C.pt_BR
dc.contributor.authorOstrovski, F.pt_BR
dc.contributor.authorPellegrini, Paulo Sérgio de Souzapt_BR
dc.contributor.authorRau, Markus Michaelpt_BR
dc.contributor.authorSadeh, Iftachpt_BR
dc.contributor.authorSeitz, Stellapt_BR
dc.contributor.authorSevilla Noarbe, Ignaciopt_BR
dc.contributor.authorSypniewski, Adam J.pt_BR
dc.contributor.authorVicente, J. dept_BR
dc.contributor.authorAbbott, Timothy M. C.pt_BR
dc.contributor.authorAllam, Sahar S.pt_BR
dc.contributor.authorAtlee, Davidpt_BR
dc.contributor.authorBernstein, Gary M.pt_BR
dc.contributor.authorBernstein, Joseph P.pt_BR
dc.contributor.authorBuckley-Geer, Elizabethpt_BR
dc.contributor.authorBurke, David Lylept_BR
dc.contributor.authorChildress, Michaelpt_BR
dc.contributor.authorDavis, Tamara M.pt_BR
dc.contributor.authorDePoy, Darren L.pt_BR
dc.contributor.authorDey, Arjunpt_BR
dc.contributor.authorDesai, S.pt_BR
dc.contributor.authorDiehl, H. Thomaspt_BR
dc.contributor.authorDoel, Peterpt_BR
dc.contributor.authorEstrada, Juanpt_BR
dc.contributor.authorEvrard, August E.pt_BR
dc.contributor.authorFernandez, Enriquept_BR
dc.contributor.authorFinley, David A.pt_BR
dc.contributor.authorFlaugher, Brennapt_BR
dc.contributor.authorFrieman, Joshua A.pt_BR
dc.contributor.authorGaztañaga, Enriquept_BR
dc.contributor.authorGlazebrook, Karlpt_BR
dc.contributor.authorHonscheid, K.pt_BR
dc.contributor.authorKim, A. G.pt_BR
dc.contributor.authorKuehn, Kylerpt_BR
dc.contributor.authorKuropatkin, Nikolay P.pt_BR
dc.contributor.authorLidman, Chrispt_BR
dc.contributor.authorMakler, Martínpt_BR
dc.contributor.authorMarshall, Jennifer L.pt_BR
dc.contributor.authorNichol, Robert C.pt_BR
dc.contributor.authorRoodman, Aaronpt_BR
dc.contributor.authorSanchez-Alvaro, Eusebiopt_BR
dc.contributor.authorSantiago, Basilio Xavierpt_BR
dc.contributor.authorSako, Masaopt_BR
dc.contributor.authorScalzo, Richardpt_BR
dc.contributor.authorSmith, Robert Christopherpt_BR
dc.contributor.authorSwanson, Molly E. C.pt_BR
dc.contributor.authorTarle, Gregorypt_BR
dc.contributor.authorThomas, D.pt_BR
dc.contributor.authorTucker, Douglas L.pt_BR
dc.contributor.authorUddin, Syedpt_BR
dc.contributor.authorValdes, Franciscopt_BR
dc.contributor.authorWalker, Alistairpt_BR
dc.contributor.authorYuan, Fangpt_BR
dc.contributor.authorZuntz, J.pt_BR
dc.date.accessioned2015-04-15T01:58:21Zpt_BR
dc.date.issued2014pt_BR
dc.identifier.issn0035-8711pt_BR
dc.identifier.urihttp://hdl.handle.net/10183/115354pt_BR
dc.description.abstractWe 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.en
dc.format.mimetypeapplication/pdfpt_BR
dc.language.isoengpt_BR
dc.relation.ispartofMonthly notices of the Royal Astronomical Society. Oxford. Vol. 445, no. 2 (Dec. 2014), p. 1482-1506pt_BR
dc.rightsOpen Accessen
dc.subjectMapeamentos astronômicospt_BR
dc.subjectAstronomical data bases: surveysen
dc.subjectGalaxies: distances and redshiftsen
dc.subjectGalaxies: statisticsen
dc.subjectLarge-scale structure of Universeen
dc.titlePhotometric redshift analysis in the Dark Energy Survey science verification datapt_BR
dc.typeArtigo de periódicopt_BR
dc.identifier.nrb000963587pt_BR
dc.type.originEstrangeiropt_BR


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