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    Producing a BOSS CMASS sample with DES imaging

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    Author
    Lee, S
    Huff, E M
    Ross, A J
    Choi, A
    Hirata, C
    Honscheid, K
    MacCrann, N
    Troxel, M A
    Davis, C
    Eifler, T F
    Cawthon, R
    Elvin-Poole, J
    Annis, J
    Avila, S
    Bertin, E
    Brooks, D
    Carnero Rosell, A
    Carrasco Kind, M
    Carretero, J
    da Costa, L N
    De Vicente, J
    Desai, S
    Flaugher, B
    Fosalba, P
    García-Bellido, J
    Gaztanaga, E
    Gerdes, D W
    Gruen, D
    Gruendl, R A
    Gschwend, J
    Gutierrez, G
    Hollowood, D L
    James, D J
    Jeltema, T
    Kuehn, K
    Lima, M
    Maia, M A G
    Marshall, J L
    Martini, P
    Melchior, P
    Menanteau, F
    Miller, C J
    Miquel, R
    Ogando, R L C
    Palmese, A
    Plazas, A A
    Sanchez, E
    Scarpine, V
    Schubnell, M
    Serrano, S
    Sevilla-Noarbe, I
    Smith, M
    Soares-Santos, M
    Sobreira, F
    Suchyta, E
    Swanson, M E C
    Tarle, G
    Thomas, D
    Weller, J
    Zuntz, J
    Show allShow less
    Affiliation
    Univ Arizona, Steward Observ, Dept Astron
    Issue Date
    2019-09-02
    Keywords
    methods: data analysis
    techniques: photometric
    galaxies: general
    
    Metadata
    Show full item record
    Publisher
    OXFORD UNIV PRESS
    Citation
    Lee, Huff, Ross, Choi, Hirata, Honscheid, . . . Zuntz. (2019). Producing a BOSS-CMASS sample with DES imaging. 489(2), 2887-2906.
    Journal
    MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY
    Rights
    Copyright © 2019 The Author(s). Published by Oxford University Press on behalf of the Royal Astronomical Society.
    Collection Information
    This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
    Abstract
    We present a sample of galaxies with theDark Energy Survey (DES) photometry that replicates the properties of the BOSS CMASS sample. The CMASS galaxy sample has been well characterized by the Sloan Digital Sky Survey (SDSS) collaboration and was used to obtain the most powerful redshift-space galaxy clustering measurements to date. A joint analysis of redshift-space distortions (such as those probed by CMASS from SDSS) and a galaxy-galaxy lensing measurement for an equivalent sample from DES can provide powerful cosmological constraints. Unfortunately, the DES and SDSS-BOSS footprints have only minimal overlap, primarily on the celestial equator near the SDSS Stripe 82 region. Using this overlap, we build a robust Bayesian model to select CMASS-like galaxies in the remainder of the DES footprint. The newly defined DES-CMASS (DMASS) sample consists of 117 293 effective galaxies covering 1244 deg(2). Through various validation tests, we show that the DMASS sample selected by this model matches well with the BOSS CMASS sample, specifically in the South Galactic cap (SGC) region that includes Stripe 82. Combining measurements of the angular correlation function and the clustering-z distribution of DMASS, we constrain the difference in mean galaxy bias and mean redshift between the BOSS CMASS and DMASS samples to be Delta b = 0.010(-0.052)(+0.045) and Delta z = (3.46(-5.55)(+5.48)) x 10(-3) for the SGC portion of CMASS, and Delta b = 0.044(-0.043)(+0.044) and Delta z = (3.51(-5.91)(+4.93)) x 10(-3) for the full CMASS sample. These values indicate that the mean bias of galaxies and mean redshift in the DMASS sample are consistent with both CMASS samples within 1 sigma.
    ISSN
    0035-8711
    DOI
    10.1093/mnras/stz2288
    Version
    Final published version
    Sponsors
    National Aeronautics & Space Administration (NASA) [15-WFIRST15-0008]; Simons Foundation; United States Department of Energy (DOE); U.S. National Science Foundation (NSF); Ministry of Education and Science, Spain; Science and Technology Facilities Council of the United Kingdom Science & Technology Facilities Council (STFC); Higher Education Funding Council for England; National Center for Supercomputing Applications at the University of Illinois at Urbana-Champaign; Kavli Institute of Cosmological Physics at the University of Chicago; Center for Cosmology and Astro-Particle Physics at the Ohio State University Ohio State University; Mitchell Institute for Fundamental Physics and Astronomy at Texas AM University; Financiadora de Estudos e ProjetosCiencia Tecnologia e Inovacao (FINEP); Fundacao Carlos Chagas Filho de Amparoa Pesquisa do Estado do Rio de Janeiro; Conselho Nacional de Desenvolvimento Cientifico e TecnologicoNational Council for Scientific and Technological Development (CNPq); Ministerio da Ciencia, Tecnologia e Inovacao; Deutsche ForschungsgemeinschaftGerman Research Foundation (DFG); Argonne National LaboratoryUnited States Department of Energy (DOE)University of Chicago; University of California at Santa Cruz; University of Cambridge; Centro de Investigaciones Energeticas; Medioambientales y Tecnologicas-Madrid; University of Chicago; University College London; DES-Brazil Consortium; University of Edinburgh; Eidgenossische Technische Hochschule (ETH) ZurichETH Zurich; Fermi National Accelerator Laboratory United States Department of Energy (DOE) University of Chicago; University of Illinois at Urbana-Champaign; Institut de Ciencies de l'Espai (IEEC/CSIC); Institut de Fisica d'Altes Energies; Lawrence Berkeley National Laboratory United States Department of Energy (DOE); Ludwig-Maximilians Universitat Munchen; Excellence Cluster Universe; University of Michigan University of Michigan System; National Optical Astronomy Observatory National Science Foundation (NSF)NSF - Directorate for Mathematical & Physical Sciences (MPS); University of Nottingham; Ohio State University; University of Pennsylvania; University of Portsmouth; SLAC National Accelerator Laboratory; Stanford University; University of Sussex; Texas AM University; OzDES Membership Consortium; National Science Foundation (NSF) [AST-1138766, AST-1536171]; MINECO [AYA2015-71825, ESP2015-66861, FPA2015-68048, SEV-2016-0588, SEV-2016-0597, MDM-2015-0509]; European Union (EU); CERCA program of the Generalitat de Catalunya; European Research Council under the European Union's Seventh Framework Program European Research Council (ERC) [FP7/2007-2013]; European Research Council (ERC) [240672, 291329, 306478]; Brazilian Instituto Nacional de Ciencia e Tecnologia (INCT) e-Universe (CNPq) National Council for Scientific and Technological Development (CNPq) [465376/2014-2]; U.S. Department of Energy, Office of Science, Office of High Energy Physics United States Department of Energy (DOE) [DE-AC02-07CH11359]; Alfred P. Sloan Foundation; National Science Foundation (NSF); U.S. Department of Energy Office of ScienceUnited States Department of Energy (DOE); University of Arizona; Brazilian Participation Group; Brookhaven National Laboratory United States Department of Energy (DOE); Carnegie Mellon University; University of Florida; French Participation Group; German Participation Group; Harvard University; Instituto de Astrofisica de Canarias; Michigan State/Notre Dame/JINA Participation Group; Johns Hopkins University; Max Planck Institute for Astrophysics; Max Planck Institute for Extraterrestrial Physics; New Mexico State University; New York University; Ohio State University; Pennsylvania State University; Princeton University; Spanish Participation Group; University of Tokyo; University of Utah; Vanderbilt University; University of Virginia; University of Washington; Yale University
    ae974a485f413a2113503eed53cd6c53
    10.1093/mnras/stz2288
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