Dark Energy Survey Year 3 Results: Galaxy Sample for BAO Measurement
Abstract
In this paper we present and validate the galaxy sample used for the analysis of the Baryon Acoustic Oscillation signal (BAO) 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 photometric redshift determination. The sample covers square degrees to a depth of at . It contains 7,031,993 galaxies in the redshift range from = 0.6 to 1.1, with a mean effective redshift of 0.835. Photometric redshifts are estimated with the machine learning algorithm DNF, and are validated using the VIPERS PDR2 sample. We find a mean redshift bias of and a mean uncertainty, in units of , of . 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 . 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 DES Y3 BAO sample and calculate sample 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 the DES Y3 data. In the companion papers, Ferrero et al. (2021) and DES Collaboration (2021), 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, respectively. The galaxy sample, masks and additional material will be released in the public DES data repository upon acceptance.
Keywords
Cite
@article{arxiv.2107.05477,
title = {Dark Energy Survey Year 3 Results: Galaxy Sample for BAO Measurement},
author = {A. Carnero Rosell and M. Rodriguez-Monroy and M. Crocce and J. Elvin-Poole and A. Porredon and I. Ferrero and J. Mena-Fernandez and R. Cawthon and J. De Vicente and E. Gaztanaga and A. J. Ross and E. Sanchez and I. Sevilla-Noarbe and O. Alves and F. Andrade-Oliveira and J. Asorey and S. Avila and A. Brandao-Souza and H. Camacho and K. C. Chan and A. Ferte and J. Muir and W. Riquelme and R. Rosenfeld and D. Sanchez Cid and W. G. Hartley and N. Weaverdyck and T. Abbott and M. Aguena and A. Sahar and J. Annis and E. Bertin and D. Brooks and E. Buckley-Geer and D. Burke and J. Calcino and D. Carollo and M. Carrasco Kind and J. Carretero and F. Castander and A. Choi and C. Conselice and M. Costanzi and L. da Costa and M. E. da Silva Pereira and T. Davis and S. Desai and H. T. Diehl and P. Doel and A. Drlica-Wagner and K. Eckert and S. Everett and A. Evrard and B. Flaugher and P. Fosalba and J. Frieman and J. Garcia-Bellido and D. Gerdes and T. Giannantonio and K. Glazebrook and D. Gruen and R. Gruendl and J. Gschwend and G. Gutierrez and S. Hinton and D. Hollowood and K. Honscheid and B. Hoyle and D. Huterer and D. James and A. Kim and E. Krause and K. Kuehn and O. Lahav and G. Lewis and C. Lidman and M. Lima and M. Maia and U. Malik and J. Marshall and F. Menanteau and R. Miquel and J. Mohr and A. Moller and R. Morgan and R. Ogando and A. Palmese and F. Paz-Chinchon and W. Percival and A. Pieres and A. Plazas Malagon and A. Roodman and V. Scarpine and M. Schubnell and S. Serrano and R. Sharp and E. Sheldon and M. Smith and M. Soares-Santos and E. Suchyta and M. Swanson and G. Tarle and D. Thomas and C. To and B. Tucker and D. Tucker and S. Uddin and T. N. Varga and DES Collaboration},
journal= {arXiv preprint arXiv:2107.05477},
year = {2021}
}
Comments
Accepted for publication in MNRAS. 24 pages, 24 figures