Dark Energy Survey Year 3 Results: Galaxy mock catalogs for BAO analysis

I. Ferrero, M. Crocce, I. Tutusaus, A. Porredon, L. Blot, P. Fosalba, A. Carnero Rosell, S. Avila, A. Izard, J. Elvin-Poole, K. C. Chan, H. Camacho, R. Rosenfeld, E. Sanchez, P. Tallada-Crespí, J. Carretero, I. Sevilla-Noarbe, E. Gaztanaga, F. Andrade-Oliveira, J. De VicenteJ. Mena-Fernández, A. J. Ross, D. Sanchez Cid, A. Ferté, A. Brandao-Souza, X. Fang, E. Krause, D. Gomes, M. Aguena, S. Allam, J. Annis, E. Bertin, D. Brooks, M. Carrasco Kind, F. J. Castander, R. Cawthon, A. Choi, C. Conselice, M. Costanzi, L. N. Da Costa, M. E.S. Pereira, H. T. Diehl, P. Doel, A. Drlica-Wagner, S. Everett, A. E. Evrard, B. Flaugher, J. Frieman, J. García-Bellido, D. W. Gerdes, D. Gruen, R. A. Gruendl, J. Gschwend, G. Gutierrez, S. R. Hinton, D. L. Hollowood, K. Honscheid, B. Hoyle, D. Huterer, D. J. James, K. Kuehn, M. Lima, M. A.G. Maia, J. L. Marshall, F. Menanteau, R. Miquel, R. Morgan, J. Muir, R. L.C. Ogando, A. Palmese, F. Paz-Chinchón, W. J. Percival, A. A. Plazas Malagón, M. Rodriguez-Monroy, V. Scarpine, M. Schubnell, S. Serrano, M. Smith, M. Soares-Santos, E. Suchyta, M. E.C. Swanson, G. Tarle, D. Thomas, C. To, D. L. Tucker, T. N. Varga

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

The calibration and validation of scientific analysis in simulations is a fundamental tool to ensure unbiased and robust results in observational cosmology. In particular, mock galaxy catalogs are a crucial resource to achieve these goals in the measurement of baryon acoustic oscillation (BAO) in the clustering of galaxies. Here we present a set of 1952 galaxy mock catalogs designed to mimic the Dark Energy Survey Year 3 BAO sample over its full photometric redshift range 0:6 < zphoto < 1:1. The mocks are based upon 488 ICE-COLA fast N-body simulations of full-sky light cones and were created by populating halos with galaxies, using a hybrid halo occupation distribution halo abundance matching model. This model has ten free parameters, which were determined, for the first time, using an automatic likelihood minimization procedure.We also introduced a novel technique to assign photometric redshift for simulated galaxies, following a two-dimensional probability distribution with VIMOS Public Extragalactic Redshift Survey data. The calibration was designed to match the observed abundance of galaxies as a function of photometric redshift, the distribution of photometric redshift errors, and the clustering amplitude on scales smaller than those used for BAO measurements. An exhaustive analysis was done to ensure that the mocks reproduce the input properties. Finally, mocks were tested by comparing the angular correlation function w(θ), angular power spectrum ζp(rΓ) and projected clustering p(r?) to theoretical predictions and data. The impact of volume replication in the estimate of the covariance is also investigated. The success in accurately reproducing the photometric redshift uncertainties and the galaxy clustering as a function of redshift render this mock creation pipeline as a benchmark for future analyses of photometric galaxy surveys.

Original languageEnglish
Article numberA106
JournalAstronomy and Astrophysics
Volume656
DOIs
StatePublished - Dec 1 2021

Funding

Acknowledgements. Funding for the DES Projects has been provided by the U.S. Department of Energy, the U.S. National Science Foundation, the Ministry of Science and Education of Spain, the Science and Technology Facilities Council of the United Kingdom, the Higher Education Funding Council for England, the National Center for Supercomputing Applications at the University of Illinois at Urbana-Champaign, the Kavli Institute of Cosmological Physics at the University of Chicago, the Center for Cosmology and Astro-Particle Physics at the Ohio State University, the Mitchell Institute for Fundamental Physics and Astronomy at Texas A&M University, Financiadora de Estudos e Proje-tos, Funda\u00E7\u00E3o Carlos Chagas Filho de Amparo \u00E0 Pesquisa do Estado do Rio de Janeiro, Conselho Nacional de Desenvolvimento Cient\u00EDfico e Tecnol\u00F3gico and the Minist\u00E9rio da Ci\u00EAncia, Tecnologia e Inova\u00E7\u00E3o, the Deutsche Forschungsge-meinschaft and the Collaborating Institutions in the Dark Energy Survey. The Collaborating Institutions are Argonne National Laboratory, the University of California at Santa Cruz, the University of Cambridge, Centro de Investiga-ciones Energ\u00E9ticas, Medioambientales y Tecnol\u00F3gicas-Madrid, the University of Chicago, University College London, the DES-Brazil Consortium, the University of Edinburgh, the Eidgen\u00F6ssische Technische Hochschule (ETH) Z\u00FCrich, Fermi National Accelerator Laboratory, the University of Illinois at Urbana-Champaign, the Institut de Ci\u00E8ncies de l\u2019Espai (IEEC/CSIC), the Institut de F\u00EDsica d\u2019Altes Energies, Lawrence Berkeley National Laboratory, the Ludwig-Maximilians Universit\u00E4t M\u00FCnchen and the associated Excellence Cluster Universe, the University of Michigan, NSF\u2019s NOIRLab, the University of Nottingham, The Ohio State University, the University of Pennsylvania, the University of Portsmouth, SLAC National Accelerator Laboratory, Stanford University, the University of Sussex, Texas A&M University, and the OzDES Membership Consortium. Based in part on observations at Cerro Tololo Inter-American Observatory at NSF\u2019s NOIRLab (NOIRLab Prop. ID 2012B-0001; PI: J. Frieman), which is managed by the Association of Universities for Research in Astronomy (AURA) under a cooperative agreement with the National Science Foundation. The DES data management system is supported by the National Science Foundation under Grant Numbers AST-1138766 and AST-1 536171. The DES participants from Spanish institutions are partially supported by MICINN under grants ESP2017-89838, PGC2018-094773, PGC2018-102021, SEV-2016-0588, SEV-2016-0597, and MDM-2015-0509, some of which include ERDF funds from the European Union. IFAE is partially funded by the CERCA program of the Generalitat de Catalunya. Research leading to these results has received funding from the European Research Council under the European Union\u2019s Seventh Framework Program (FP7/2007-2013) including ERC grant agreements 240672, 291329, and 306478. We acknowledge support from the Brazilian Instituto Nacional de Ci\u00EAncia e Tecnologia (INCT) do e-Universo (CNPq grant 465376/2014-2). This manuscript has been authored by Fermi Research Alliance, LLC under Contract No. DE-AC02-07CH11359 with the U.S. Department of Energy, Office of Science, Office of High Energy Physics. This manuscript has been authored by Fermi Research Alliance, LLC under Contract No. DE-AC02-07CH11359 with the U.S. Department of Energy, Office of Science, Office of High Energy Physics. The simulation production and storage, as well as the processing and analysis tools have been developed, implemented and operated in collaboration with the Port d\u2019Informaci\u00F3 Cient\u00EDfica (PIC). SA was supported by the MICUES project, funded by the EU\u2019s H2020 MSCA grant agreement no. 713366 (InterTalentum UAM). ACR acknowledges financial support from the Spanish Ministry of Science, Innovation and Universities (MICIU) under grant AYA2017-84061-P, co-financed by FEDER (European Regional Development Funds) and by the Spanish Space Research Program \u201CParticipation in the NISP instrument and preparation for the science of EUCLID\" (ESP2017-84272-C2-1-R). This project has received funding from the European Union\u2019s Horizon 2020 Research and Innovation Programme under the Marie Sk\u0142odowska-Curie grant agreement No. 734374.

Keywords

  • Catalogs
  • Galaxies: distances and redshifts
  • Galaxy: halo
  • Large-scale structure of Universe
  • Methods: numerical

Fingerprint

Dive into the research topics of 'Dark Energy Survey Year 3 Results: Galaxy mock catalogs for BAO analysis'. Together they form a unique fingerprint.

Cite this