Producing a BOSS CMASS sample with des imaging

S. Lee; E. M. Huff; A. J. Ross; A. Choi; C. Hirata; K. Honscheid; N. MacCrann; M. A. Troxel; C. Davis; T. F. Eifler; R. Cawthon; J. Elvin-Poole; J. Annis; S. Avila; E. Bertin; D. Brooks; A. Carnero Rosell; M. Carrasco Kind; J. Carretero; L. N. Da Costa; J. De Vicente; S. Desai; B. Flaugher; P. Fosalba; J. García-Bellido; E. Gaztanaga; D. W. Gerdes; D. Gruen; R. A. Gruendl; J. Gschwend; G. Gutierrez; D. L. Hollowood; D. J. James; T. Jeltema; K. Kuehn; M. Lima; M. A.G. Maia; J. L. Marshall; P. Martini; P. Melchior; F. Menanteau; C. J. Miller; R. Miquel; R. L.C. Ogando; A. Palmese; A. A. Plazas; E. Sanchez; V. Scarpine; M. Schubnell; S. Serrano; I. Sevilla-Noarbe; M. Smith; M. Soares-Santos; F. Sobreira; E. Suchyta; M. E.C. Swanson; G. Tarle; D. Thomas; J. Weller; J. Zuntz

doi:10.1093/mnras/stz2288

Producing a BOSS CMASS sample with des imaging

S. Lee, E. M. Huff, A. J. Ross, A. Choi, C. Hirata, K. Honscheid, N. MacCrann, M. A. Troxel, C. Davis, T. F. Eifler, R. Cawthon, J. Elvin-Poole, J. Annis, S. Avila, E. Bertin, D. Brooks, A. Carnero Rosell, M. Carrasco Kind, J. Carretero, L. N. Da CostaJ. De Vicente, S. Desai, B. Flaugher, P. Fosalba, J. García-Bellido, E. Gaztanaga, D. W. Gerdes, D. Gruen, R. A. Gruendl, J. Gschwend, G. Gutierrez, D. L. Hollowood, D. J. James, T. Jeltema, K. Kuehn, M. Lima, M. A.G. Maia, J. L. Marshall, P. Martini, P. Melchior, F. Menanteau, C. J. Miller, R. Miquel, R. L.C. Ogando, A. Palmese, A. A. Plazas, E. Sanchez, V. Scarpine, M. Schubnell, S. Serrano, I. Sevilla-Noarbe, M. Smith, M. Soares-Santos, F. Sobreira, E. Suchyta, M. E.C. Swanson, G. Tarle, D. Thomas, J. Weller, J. Zuntz

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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 deg2. 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 Δb = 0.010+0.045 -0.052 and Δz = (3.46+5.48 -5.55) × 10^-3 for the SGC portion of CMASS, and Δb = 0.044^+0.044 -0.043 and Δz = (3.51^+4.93 -5.91) × 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 1σ.

Original language	English
Pages (from-to)	2887-2906
Number of pages	20
Journal	Monthly Notices of the Royal Astronomical Society
Volume	489
Issue number	2
DOIs	https://doi.org/10.1093/mnras/stz2288
State	Published - Oct 21 2019

Funding

The DES data management system is supported by the National Science Foundation under grant numbers AST-1138766 and AST-1536171. The DES participants from Spanish institutions are partially supported by MINECO under grants AYA2015-71825, ESP2015-66861, FPA2015-68048, 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’s Seventh Framework Program (FP7/2007-2013), including ERC grant agreements 240672, 291329, and 306478. We acknowledge support from the Brazilian AC acknowledges support from NASA grant 15-WFIRST15-0008. During the preparation of this paper, CH was supported by the Simons Foundation, NASA, and the U.S. Department of Energy. Instituto Nacional de Ciência e Tecnologia (INCT) e-Universe (CNPq grant 465376/2014-2). Funding for SDSS-III has been provided by the Alfred P. Sloan Foundation, the Participating Institutions, the National Science Foundation, and the U.S. Department of Energy Office of Science. The SDSS-III web site is http://www.sdss3.org/. 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 Projetos, Fundac¸ão Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro, Conselho Nacional de Desenvolvimento Científico e Tecnológico and the Ministério da Ciência, Tecnologia e Inovac¸ão, the Deutsche Forschungsgemeinschaft, and the Collaborating Institutions in the Dark Energy Survey. 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 United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a non-exclusive, paid-up, irrevocable, world-wide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes.

Funders	Funder number
Collaborating Institutions in the Dark Energy Survey
Fermi Research Alliance, LLC	DE-AC02-07CH11359
Ministério da Ciência
Mitchell Institute for Fundamental Physics and Astronomy at Texas A&M University
National Center for Supercomputing Applications at the University of Illinois at Urbana-Champaign
Science and Technology Facilities Council of the United Kingdom
National Science Foundation	1138766, AST-1138766, AST-1536171
U.S. Department of Energy
National Aeronautics and Space Administration	15-WFIRST15-0008
Alfred P. Sloan Foundation
Simons Foundation
Office of Science
High Energy Physics
Ohio State University
University of Chicago
Seventh Framework Programme	240672, 306478, 291329
Higher Education Funding Council for England
Instituto Nacional de Ciência e Tecnologia Midas
Engineering Research Centers
European Commission
European Research Council
Deutsche Forschungsgemeinschaft
Generalitat de Catalunya
Ministerio de Economía y Competitividad	SEV-2016-0588, SEV-2016-0597, ESP2015-66861, MDM-2015-0509, FPA2015-68048, AYA2015-71825
Conselho Nacional de Desenvolvimento Científico e Tecnológico	465376/2014-2
Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro
Financiadora de Estudos e Projetos
Ministry of Education and Science of Ukraine
European Regional Development Fund

Keywords

Galaxies: General
Methods: Data analysis
Techniques: Photometric

Access to Document

10.1093/mnras/stz2288

Cite this

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., ... Zuntz, J. (2019). Producing a BOSS CMASS sample with des imaging. Monthly Notices of the Royal Astronomical Society, 489(2), 2887-2906. https://doi.org/10.1093/mnras/stz2288

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title = "Producing a BOSS CMASS sample with des imaging",

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 deg2. 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 Δb = 0.010+0.045 -0.052 and Δz = (3.46+5.48 -5.55) × 10-3 for the SGC portion of CMASS, and Δb = 0.044+0.044 -0.043 and Δz = (3.51+4.93 -5.91) × 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 1σ.",

keywords = "Galaxies: General, Methods: Data analysis, Techniques: Photometric",

author = "S. Lee and Huff, {E. M.} and Ross, {A. J.} and A. Choi and C. Hirata and K. Honscheid and N. MacCrann and Troxel, {M. A.} and C. Davis and Eifler, {T. F.} and R. Cawthon and J. Elvin-Poole and J. Annis and S. Avila and E. Bertin and D. Brooks and {Carnero Rosell}, A. and {Carrasco Kind}, M. and J. Carretero and {Da Costa}, {L. N.} and {De Vicente}, J. and S. Desai and B. Flaugher and P. Fosalba and J. Garc{\'i}a-Bellido and E. Gaztanaga and Gerdes, {D. W.} and D. Gruen and Gruendl, {R. A.} and J. Gschwend and G. Gutierrez and Hollowood, {D. L.} and James, {D. J.} and T. Jeltema and K. Kuehn and M. Lima and Maia, {M. A.G.} and Marshall, {J. L.} and P. Martini and P. Melchior and F. Menanteau and Miller, {C. J.} and R. Miquel and Ogando, {R. L.C.} and A. Palmese and Plazas, {A. A.} and E. Sanchez and V. Scarpine and M. Schubnell and S. Serrano and I. Sevilla-Noarbe and M. Smith and M. Soares-Santos and F. Sobreira and E. Suchyta and Swanson, {M. E.C.} and G. Tarle and D. Thomas and J. Weller and J. Zuntz",

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year = "2019",

month = oct,

day = "21",

doi = "10.1093/mnras/stz2288",

language = "English",

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Lee, S, Huff, EM, Ross, AJ, Choi, A, Hirata, C, Honscheid, K, MacCrann, N, Troxel, MA, Davis, C, Eifler, TF, Cawthon, R, Elvin-Poole, J, Annis, J, Avila, S, Bertin, E, Brooks, D, Carnero Rosell, A, Carrasco Kind, M, Carretero, J, Da Costa, LN, De Vicente, J, Desai, S, Flaugher, B, Fosalba, P, García-Bellido, J, Gaztanaga, E, Gerdes, DW, Gruen, D, Gruendl, RA, Gschwend, J, Gutierrez, G, Hollowood, DL, James, DJ, Jeltema, T, Kuehn, K, Lima, M, Maia, MAG, Marshall, JL, Martini, P, Melchior, P, Menanteau, F, Miller, CJ, Miquel, R, Ogando, RLC, Palmese, A, Plazas, AA, Sanchez, E, Scarpine, V, Schubnell, M, Serrano, S, Sevilla-Noarbe, I, Smith, M, Soares-Santos, M, Sobreira, F, Suchyta, E, Swanson, MEC, Tarle, G, Thomas, D, Weller, J & Zuntz, J 2019, 'Producing a BOSS CMASS sample with des imaging', Monthly Notices of the Royal Astronomical Society, vol. 489, no. 2, pp. 2887-2906. https://doi.org/10.1093/mnras/stz2288

TY - JOUR

T1 - Producing a BOSS CMASS sample with des imaging

AU - Lee, S.

AU - Huff, E. M.

AU - Ross, A. J.

AU - Choi, A.

AU - Hirata, C.

AU - Honscheid, K.

AU - MacCrann, N.

AU - Troxel, M. A.

AU - Davis, C.

AU - Eifler, T. F.

AU - Cawthon, R.

AU - Elvin-Poole, J.

AU - Annis, J.

AU - Avila, S.

AU - Bertin, E.

AU - Brooks, D.

AU - Carnero Rosell, A.

AU - Carrasco Kind, M.

AU - Carretero, J.

AU - Da Costa, L. N.

AU - De Vicente, J.

AU - Desai, S.

AU - Flaugher, B.

AU - Fosalba, P.

AU - García-Bellido, J.

AU - Gaztanaga, E.

AU - Gerdes, D. W.

AU - Gruen, D.

AU - Gruendl, R. A.

AU - Gschwend, J.

AU - Gutierrez, G.

AU - Hollowood, D. L.

AU - James, D. J.

AU - Jeltema, T.

AU - Kuehn, K.

AU - Lima, M.

AU - Maia, M. A.G.

AU - Marshall, J. L.

AU - Martini, P.

AU - Melchior, P.

AU - Menanteau, F.

AU - Miller, C. J.

AU - Miquel, R.

AU - Ogando, R. L.C.

AU - Palmese, A.

AU - Plazas, A. A.

AU - Sanchez, E.

AU - Scarpine, V.

AU - Schubnell, M.

AU - Serrano, S.

AU - Sevilla-Noarbe, I.

AU - Smith, M.

AU - Soares-Santos, M.

AU - Sobreira, F.

AU - Suchyta, E.

AU - Swanson, M. E.C.

AU - Tarle, G.

AU - Thomas, D.

AU - Weller, J.

AU - Zuntz, J.

PY - 2019/10/21

Y1 - 2019/10/21

N2 - 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 deg2. 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 Δb = 0.010+0.045 -0.052 and Δz = (3.46+5.48 -5.55) × 10-3 for the SGC portion of CMASS, and Δb = 0.044+0.044 -0.043 and Δz = (3.51+4.93 -5.91) × 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 1σ.

AB - 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 deg2. 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 Δb = 0.010+0.045 -0.052 and Δz = (3.46+5.48 -5.55) × 10-3 for the SGC portion of CMASS, and Δb = 0.044+0.044 -0.043 and Δz = (3.51+4.93 -5.91) × 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 1σ.

KW - Galaxies: General

KW - Methods: Data analysis

KW - Techniques: Photometric

UR - http://www.scopus.com/inward/record.url?scp=85075159035&partnerID=8YFLogxK

U2 - 10.1093/mnras/stz2288

DO - 10.1093/mnras/stz2288

M3 - Article

AN - SCOPUS:85075159035

SN - 0035-8711

VL - 489

SP - 2887

EP - 2906

JO - Monthly Notices of the Royal Astronomical Society

JF - Monthly Notices of the Royal Astronomical Society

IS - 2

ER -

Producing a BOSS CMASS sample with des imaging

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