Dark Energy Survey Year 1 Results: Calibration of redMaGiC redshift distributions in DES and SDSS from cross-correlations

DES Collaboration

doi:10.1093/MNRAS/STY2424

Dark Energy Survey Year 1 Results: Calibration of redMaGiC redshift distributions in DES and SDSS from cross-correlations

DES Collaboration

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Abstract

We present calibrations of the redshift distributions of redMaGiC galaxies in the Dark Energy Survey Year 1 (DES Y1) and Sloan Digital Sky Survey (SDSS) DR8 data. These results determine the priors of the redshift distribution of redMaGiC galaxies, which were used for galaxy clustering measurements and as lenses for galaxy-galaxy lensing measurements in DES Y1 cosmological analyses.We empirically determine the bias in redMaGiC photometric redshift estimates using angular cross-correlations with Baryon Oscillation Spectroscopic Survey (BOSS) galaxies. For DES, we calibrate a single-parameter redshift bias in three photometric redshift bins: z ∈ [0.15, 0.3], [0.3,0.45], and [0.45,0.6]. Our best-fit results in each bin give photometric redshift biases of |Δz| < 0.01. To further test the redMaGiC algorithm, we apply our calibration procedure to SDSS redMaGiC galaxies, where the statistical precision of the cross-correlation measurement is much higher due to a greater overlap with BOSS galaxies. For SDSS, we also find best-fit results of |Δz| < 0.01. We compare our results to other analyses of redMaGiC photometric redshifts.

Original language	English
Pages (from-to)	2427-2443
Number of pages	17
Journal	Monthly Notices of the Royal Astronomical Society
Volume	481
Issue number	2
DOIs	https://doi.org/10.1093/MNRAS/STY2424
State	Published - Dec 1 2018

Funding

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\u00B8\u00E3o Carlos Chagas Filho de Amparo \u00E0 Pesquisa do Estado do Rio de Janeiro, Conselho Nacional de Desen-volvimento Cient\u00EDfico e Tecnol\u00F3gico and the Minist\u00E9rio da Ci\u00EAncia, Tecnologia e Inovac\u00B8\u00E3o, the Deutsche Forschungsgemeinschaft and the Collaborating Institutions in the Dark Energy Survey. RC is supported by the Kavli Institute for Cosmological Physics at the University of Chicago through grant NSF PHY-1125897 and an endowment from the Kavli Foundation and its founder Fred Kavli. 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. 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 Australian Research Council Centre of Excellence for All-sky Astrophysics (CAASTRO), through project number CE110001020. 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, ESP2015-88861, FPA2015-68048, SEV-2012-0234, 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.

Funders	Funder number
Mitchell Institute for Fundamental Physics and Astronomy at Texas A&M University
Kavli Institute for Cosmological Physics at the University of Chicago
High Energy Physics
Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro
Ohio State University
University of Chicago
Engineering Research Centers
Generalitat de Catalunya
Higher Education Funding Council for England
Financiadora de Estudos e Projetos
Conselho Nacional de Desen-volvimento Científico e Tecnológico
Ministry of Education and Science of Ukraine
Kavli Foundation
Deutsche Forschungsgemeinschaft
European Commission
U.S. Department of Energy
Science and Technology Facilities Council of the United Kingdom
Ministério da Ciência
Office of Science
National Center for Supercomputing Applications at the University of Illinois at Urbana-Champaign
European Research Council
European Regional Development Fund
Collaborating Institutions in the Dark Energy Survey
Science and Technology Facilities Council	ST/M005305/1
National Science Foundation	AST-1138766, 1125897, AST-1536171
Seventh Framework Programme	AST-1138766, 240672, 306478, 1125897, 291329
Ministerio de Economía y Competitividad	ESP2015-88861, SEV-2016-0597, MDM-2015-0509, FPA2015-68048, SEV-2012-0234, AYA2015-71825
Fermi Research Alliance, LLC	DE-AC02-07CH11359
Australian Research Council	CE110001020

Keywords

Galaxies: distances and redshifts
Large-scale structure of Universe
Surveys

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10.1093/MNRAS/STY2424

Cite this

@article{621ebf192792465d9d1fb815121fc094,

title = "Dark Energy Survey Year 1 Results: Calibration of redMaGiC redshift distributions in DES and SDSS from cross-correlations",

abstract = "We present calibrations of the redshift distributions of redMaGiC galaxies in the Dark Energy Survey Year 1 (DES Y1) and Sloan Digital Sky Survey (SDSS) DR8 data. These results determine the priors of the redshift distribution of redMaGiC galaxies, which were used for galaxy clustering measurements and as lenses for galaxy-galaxy lensing measurements in DES Y1 cosmological analyses.We empirically determine the bias in redMaGiC photometric redshift estimates using angular cross-correlations with Baryon Oscillation Spectroscopic Survey (BOSS) galaxies. For DES, we calibrate a single-parameter redshift bias in three photometric redshift bins: z ∈ [0.15, 0.3], [0.3,0.45], and [0.45,0.6]. Our best-fit results in each bin give photometric redshift biases of |Δz| < 0.01. To further test the redMaGiC algorithm, we apply our calibration procedure to SDSS redMaGiC galaxies, where the statistical precision of the cross-correlation measurement is much higher due to a greater overlap with BOSS galaxies. For SDSS, we also find best-fit results of |Δz| < 0.01. We compare our results to other analyses of redMaGiC photometric redshifts.",

keywords = "Galaxies: distances and redshifts, Large-scale structure of Universe, Surveys",

author = "{DES Collaboration} and R. Cawthon and C. Davis and M. Gatti and P. Vielzeuf and J. Elvin-Poole and E. Rozo and J. Frieman and Rykoff, {E. S.} and A. Alarcon and Bernstein, {G. M.} and C. Bonnett and {Carnero Rosell}, A. and Castander, {F. J.} and C. Chang and {da Costa}, {L. N.} and {De Vicente}, J. and {De Rose}, J. and A. Drlica-Wagner and E. Gaztanaga and T. Giannantonio and D. Gruen and J. Gschwend and Hartley, {W. G.} and B. Hoyle and H. Lin and Maia, {M. A.G.} and R. Miquel and Ogando, {R. L.C.} and Rau, {M. M.} and A. Roodman and Ross, {A. J.} and I. Sevilla-Noarbe and Troxel, {M. A.} and Wechsler, {R. H.} and Abbott, {T. M.C.} and Abdalla, {F. B.} and S. Allam and J. Annis and S. Avila and M. Banerji and K. Bechtol and Bernstein, {R. A.} and E. Bertin and D. Brooks and Burke, {D. L.} and {Carrasco Kind}, M. and J. Carretero and Cunha, {C. E.} and D'Andrea, {C. B.} and E. Suchyta",

note = "Publisher Copyright: {\textcopyright} 2018 The Author(s).",

year = "2018",

month = dec,

day = "1",

doi = "10.1093/MNRAS/STY2424",

language = "English",

volume = "481",

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TY - JOUR

T1 - Dark Energy Survey Year 1 Results

T2 - Calibration of redMaGiC redshift distributions in DES and SDSS from cross-correlations

AU - DES Collaboration

AU - Cawthon, R.

AU - Davis, C.

AU - Gatti, M.

AU - Vielzeuf, P.

AU - Elvin-Poole, J.

AU - Rozo, E.

AU - Frieman, J.

AU - Rykoff, E. S.

AU - Alarcon, A.

AU - Bernstein, G. M.

AU - Bonnett, C.

AU - Carnero Rosell, A.

AU - Castander, F. J.

AU - Chang, C.

AU - da Costa, L. N.

AU - De Vicente, J.

AU - De Rose, J.

AU - Drlica-Wagner, A.

AU - Gaztanaga, E.

AU - Giannantonio, T.

AU - Gruen, D.

AU - Gschwend, J.

AU - Hartley, W. G.

AU - Hoyle, B.

AU - Lin, H.

AU - Maia, M. A.G.

AU - Miquel, R.

AU - Ogando, R. L.C.

AU - Rau, M. M.

AU - Roodman, A.

AU - Ross, A. J.

AU - Sevilla-Noarbe, I.

AU - Troxel, M. A.

AU - Wechsler, R. H.

AU - Abbott, T. M.C.

AU - Abdalla, F. B.

AU - Allam, S.

AU - Annis, J.

AU - Avila, S.

AU - Banerji, M.

AU - Bechtol, K.

AU - Bernstein, R. A.

AU - Bertin, E.

AU - Brooks, D.

AU - Burke, D. L.

AU - Carrasco Kind, M.

AU - Carretero, J.

AU - Cunha, C. E.

AU - D'Andrea, C. B.

AU - Suchyta, E.

PY - 2018/12/1

Y1 - 2018/12/1

N2 - We present calibrations of the redshift distributions of redMaGiC galaxies in the Dark Energy Survey Year 1 (DES Y1) and Sloan Digital Sky Survey (SDSS) DR8 data. These results determine the priors of the redshift distribution of redMaGiC galaxies, which were used for galaxy clustering measurements and as lenses for galaxy-galaxy lensing measurements in DES Y1 cosmological analyses.We empirically determine the bias in redMaGiC photometric redshift estimates using angular cross-correlations with Baryon Oscillation Spectroscopic Survey (BOSS) galaxies. For DES, we calibrate a single-parameter redshift bias in three photometric redshift bins: z ∈ [0.15, 0.3], [0.3,0.45], and [0.45,0.6]. Our best-fit results in each bin give photometric redshift biases of |Δz| < 0.01. To further test the redMaGiC algorithm, we apply our calibration procedure to SDSS redMaGiC galaxies, where the statistical precision of the cross-correlation measurement is much higher due to a greater overlap with BOSS galaxies. For SDSS, we also find best-fit results of |Δz| < 0.01. We compare our results to other analyses of redMaGiC photometric redshifts.

AB - We present calibrations of the redshift distributions of redMaGiC galaxies in the Dark Energy Survey Year 1 (DES Y1) and Sloan Digital Sky Survey (SDSS) DR8 data. These results determine the priors of the redshift distribution of redMaGiC galaxies, which were used for galaxy clustering measurements and as lenses for galaxy-galaxy lensing measurements in DES Y1 cosmological analyses.We empirically determine the bias in redMaGiC photometric redshift estimates using angular cross-correlations with Baryon Oscillation Spectroscopic Survey (BOSS) galaxies. For DES, we calibrate a single-parameter redshift bias in three photometric redshift bins: z ∈ [0.15, 0.3], [0.3,0.45], and [0.45,0.6]. Our best-fit results in each bin give photometric redshift biases of |Δz| < 0.01. To further test the redMaGiC algorithm, we apply our calibration procedure to SDSS redMaGiC galaxies, where the statistical precision of the cross-correlation measurement is much higher due to a greater overlap with BOSS galaxies. For SDSS, we also find best-fit results of |Δz| < 0.01. We compare our results to other analyses of redMaGiC photometric redshifts.

KW - Galaxies: distances and redshifts

KW - Large-scale structure of Universe

KW - Surveys

UR - http://www.scopus.com/inward/record.url?scp=85060846594&partnerID=8YFLogxK

U2 - 10.1093/MNRAS/STY2424

DO - 10.1093/MNRAS/STY2424

M3 - Article

AN - SCOPUS:85060846594

SN - 0035-8711

VL - 481

SP - 2427

EP - 2443

JO - Monthly Notices of the Royal Astronomical Society

JF - Monthly Notices of the Royal Astronomical Society

IS - 2

ER -

Dark Energy Survey Year 1 Results: Calibration of redMaGiC redshift distributions in DES and SDSS from cross-correlations

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