학술논문
The Dark Energy Survey Year 3 high-redshift sample: selection, characterization, and analysis of galaxy clustering
Document Type
article
Author
Sánchez, C; Alarcon, A; Bernstein, GM; Sanchez, J; Pandey, S; Raveri, M; Prat, J; Weaverdyck, N; Sevilla-Noarbe, I; Chang, C; Baxter, E; Omori, Y; Jain, B; Alves, O; Amon, A; Bechtol, K; Becker, MR; Blazek, J; Choi, A; Campos, A; Rosell, A Carnero; Kind, M Carrasco; Crocce, M; Cross, D; DeRose, J; Diehl, HT; Dodelson, S; Drlica-Wagner, A; Eckert, K; Eifler, TF; Elvin-Poole, J; Everett, S; Fang, X; Fosalba, P; Gruen, D; Gruendl, RA; Harrison, I; Hartley, WG; Huang, H; Huff, EM; Kuropatkin, N; MacCrann, N; McCullough, J; Myles, J; Krause, E; Porredon, A; Rodriguez-Monroy, M; Rykoff, ES; Secco, LF; Sheldon, E; Troxel, MA; Yanny, B; Yin, B; Zhang, Y; Zuntz, J; Abbott, TMC; Aguena, M; Allam, S; Andrade-Oliveira, F; Bertin, E; Bocquet, S; Brooks, D; Burke, DL; Carretero, J; Castander, FJ; Cawthon, R; Conselice, C; Costanzi, M; Pereira, MES; Desai, S; Doel, P; Doux, C; Ferrero, I; Flaugher, B; Frieman, J; García-Bellido, J; Gutierrez, G; Herner, K; Hinton, SR; Hollowood, DL; Honscheid, K; James, DJ; Kuehn, K; Marshall, JL; Mena-Fernández, J; Menanteau, F; Miquel, R; Ogando, RLC; Palmese, A; Paz-Chinchón, F; Pieres, A; Malagón, AA Plazas; Sanchez, E; Scarpine, V; Schubnell, M; Smith, M; Suchyta, E; Tarle, G; Thomas, D; To, C
Source
Monthly Notices of the Royal Astronomical Society. 525(3)
Subject
Language
Abstract
The fiducial cosmological analyses of imaging surveys like DES typically probe the Universe at redshifts z < 1. We present the selection and characterization of high-redshift galaxy samples using DES Year 3 data, and the analysis of their galaxy clustering measurements. In particular, we use galaxies that are fainter than those used in the previous DES Year 3 analyses and a Bayesian redshift scheme to define three tomographic bins with mean redshifts around z ∼0.9, 1.2, and 1.5, which extend the redshift coverage of the fiducial DES Year 3 analysis. These samples contain a total of about 9 million galaxies, and their galaxy density is more than 2 times higher than those in the DES Year 3 fiducial case. We characterize the redshift uncertainties of the samples, including the usage of various spectroscopic and high-quality redshift samples, and we develop a machine-learning method to correct for correlations between galaxy density and survey observing conditions. The analysis of galaxy clustering measurements, with a total signal to noise S/N ∼70 after scale cuts, yields robust cosmological constraints on a combination of the fraction of matter in the Universe