Details

Autor(en) / Beteiligte

• Rosell, A Carnero
• Rodriguez-Monroy, M
• Crocce, M
• Elvin-Poole, J
• Porredon, A
• Ferrero, I
• Mena-Fernández, J
• Cawthon, R
• De Vicente, J
• Gaztanaga, E
• Ross, A J
• Sanchez, E
• Sevilla-Noarbe, I
• Alves, O
• Andrade-Oliveira, F
• Asorey, J
• Avila, S
• Brandao-Souza, A
• Chan, K C
• Muir, J
• Riquelme, W
• Rosenfeld, R
• Cid, D Sanchez
• Hartley, W G
• Weaverdyck, N
• Abbott, T
• Aguena, M
• Allam, S
• Annis, J
• Bertin, E
• Brooks, D
• Buckley-Geer, E
• Calcino, J
• Carollo, D
• Kind, M Carrasco
• Carretero, J
• Castander, F
• Choi, A
• Conselice, C
• Costanzi, M
• da Costa, L
• da Silva Pereira, M E
• Davis, T
• Desai, S
• Diehl, H T
• Doel, P
• Drlica-Wagner, A
• Eckert, K
• Everett, S
• Evrard, A
• Flaugher, B
• Fosalba, P
• Frieman, J
• Garcia-Bellido, J
• Gerdes, D
• Giannantonio, T
• Glazebrook, K
• Gruen, D
• Gruendl, R
• Gschwend, J
• Gutierrez, G
• Hinton, S
• Hollowood, D
• Hoyle, B
• Huterer, D
• Kim, A
• Krause, E
• Kuehn, K
• Lahav, O
• Lewis, G
• Lidman, C
• Lima, M
• Maia, M
• Malik, U
• Marshall, J
• Menanteau, F
• Miquel, R
• Mohr, J
• Moller, A
• Morgan, R
• Ogando, R
• Palmese, A
• Paz-Chinchon, F
• Percival, W
• Pieres, A
• Malagón, A Plazas
• Roodman, A
• Schubnell, M
• Serrano, S
• Sheldon, E
• Smith, M
• Soares-Santos, M
• Suchyta, E
• Tarle, G
• Thomas, D
• To, C
• Tucker, B
• Tucker, D
• Uddin, S
• Varga, T N

Titel

Dark Energy Survey Year 3 results: galaxy sample for BAO measurement

Ist Teil von

• Monthly notices of the Royal Astronomical Society, 2022-01, Vol.509 (1), p.778-799

Ort / Verlag

United States: Oxford University Press

Erscheinungsjahr

2022

Quelle

Electronic Journals Library

Beschreibungen/Notizen

• ABSTRACT In this paper, we present and validate the galaxy sample used for the analysis of the baryon acoustic oscillation (BAO) signal in the Dark Energy Survey (DES) Y3 data. The definition is based on a colour and redshift-dependent magnitude cut optimized to select galaxies at redshifts higher than 0.5, while ensuring a high-quality determination. The sample covers ${\sim }\, 4100$ deg2to a depth of i = 22.3 (AB) at 10σ. It contains 7031 993 galaxies in the redshift range from $z$ = 0.6 to 1.1, with a mean effective redshift of 0.835. Redshifts are estimated with the machine learning algorithm dnf, and are validated using the VIPERS PDR2 sample. We find a mean redshift bias of $z_{\mathrm{bias}} {\sim }\, 0.01$ and a mean uncertainty, in units of 1 + $z$, of $\sigma _{68} {\sim }\, 0.03$. We evaluate the galaxy population of the sample, showing it is mostly built upon Elliptical to Sbc types. Furthermore, we find a low level of stellar contamination of $\lesssim 4{{\ \rm per\ cent}}$. We present the method used to mitigate the effect of spurious clustering coming from observing conditions and other large-scale systematics. We apply it to the BAO sample and calculate weights that are used to get a robust estimate of the galaxy clustering signal. This paper is one of a series dedicated to the analysis of the BAO signal in DES Y3. In the companion papers, we present the galaxy mock catalogues used to calibrate the analysis and the angular diameter distance constraints obtained through the fitting to the BAO scale.