Optical-SZE scaling relations for DES optically selected clusters within the SPT-SZ Survey

A. Saro, S. Bocquet, J. Mohr, E. Rozo, B. A. Benson, S. Dodelson, E. S. Rykoff, L. Bleem, T. M.C. Abbott, F. B. Abdalla, S. Allen, J. Annis, A. Benoit-Lévy, D. Brooks, D. L. Burke, R. Capasso, A. Carnero Rosell, M. Carrasco Kind, J. Carretero, I. ChiuT. M. Crawford, C. E. Cunha, C. B. D'Andrea, L. N. da Costa, S. Desai, J. P. Dietrich, A. E. Evrard, A. Fausti Neto, B. Flaugher, P. Fosalba, J. Frieman, C. Gangkofner, E. Gaztanaga, D. W. Gerdes, T. Giannantonio, S. Grandis, D. Gruen, R. A. Gruendl, N. Gupta, G. Gutierrez, W. L. Holzapfel, D. J. James, K. Kuehn, N. Kuropatkin, M. Lima, J. L. Marshall, M. McDonald, P. Melchior, F. Menanteau, R. Miquel, R. Ogando, A. A. Plazas, D. Rapetti, C. L. Reichardt, K. Reil, A. K. Romer, E. Sanchez, V. Scarpine, M. Schubnell, I. Sevilla-Noarbe, R. C. Smith, M. Soares-Santos, B. Soergel, V. Strazzullo, E. Suchyta, M. E.C. Swanson, G. Tarle, D. Thomas, V. Vikram, A. R. Walker, A. Zenteno

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

Abstract

We study the Sunyaev-Zel'dovich effect (SZE) signature in South Pole Telescope (SPT) data for an ensemble of 719 optically identified galaxy clusters selected from 124.6 deg2 of the Dark Energy Survey (DES) science verification data, detecting a clear stacked SZE signal down to richness λ ∼ 20. The SZE signature is measured using matched-filtered maps of the 2500 deg2 SPT-SZ survey at the positions of the DES clusters, and the degeneracy between SZE observable and matched-filter size is broken by adopting as priors SZE and optical mass-observable relations that are either calibrated using SPT-selected clusters or through the Arnaud et al. (A10) X-ray analysis. We measure the SPT signal-to-noise ζ-λ relation and two integrated Compton-y Y500-λ relations for the DES-selected clusters and compare these to model expectations that account for the SZE-optical centre offset distribution. For clusters with λ > 80, the two SPT-calibrated scaling relations are consistent with the measurements, while for the A10-calibrated relation the measured SZE signal is smaller by a factor of 0.61 ± 0.12 compared to the prediction. For clusters at 20 < λ < 80, the measured SZE signal is smaller by a factor of ∼0.20-0.80 (between 2.3σ and 10σ significance) compared to the prediction, with the SPT-calibrated scaling relations and larger λclusters showing generally better agreement. We quantify the required corrections to achieve consistency, showing that there is a richness-dependent bias that can be explained by some combination of (1) contamination of the observables and (2) biases in the estimated halo masses. We also discuss particular physical effects associated with these biases, such as contamination of λ from line-of-sight projections or of the SZE observables from point sources, larger offsets in the SZE-optical centring or larger intrinsic scatter in the λ-mass relation at lower richnesses.

Original languageEnglish
Pages (from-to)3347-3360
Number of pages14
JournalMonthly Notices of the Royal Astronomical Society
Volume468
Issue number3
DOIs
StatePublished - Jul 1 2017
Externally publishedYes

Funding

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. The Collaborating Institutions are Argonne National Laboratory, the University of California at Santa Cruz, the University of Cambridge, Centro de Investiga-ciones Energéticas, Medioambientales y Tecnológicas-Madrid, the University of Chicago, University College London, the DES-Brazil Consortium, the University of Edinburgh, the Eidgenössische Tech-nische Hochschule (ETH) Zürich, Fermi National Accelerator Laboratory, the University of Illinois at Urbana-Champaign, the Institut de Ciències de l’Espai (IEEC/CSIC), the Institut de Física d’Altes Energies, Lawrence Berkeley National Laboratory, the Ludwig-Maximilians Universität München and the associated Excellence Cluster Universe, the University of Michigan, the National Optical Astronomy Observatory, 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. The DES data management system is supported by the National Science Foundation under Grant Number AST-1138766. The DES participants from Spanish institutions are partially supported by MINECO under grants AYA2012-39559, ESP2013-48274, FPA2013-47986 and Centro de Excelencia Severo Ochoa SEV-2012-0234. Research leading to these results has received funding from the European Research Council under the European Union’s Seventh Framework Programme (FP7/2007-2013) including ERC grant agreements 240672, 291329 and 306478. We thank theanonymous referee for useful comments. We acknowledge the support of the DFG Cluster of Excellence ‘Origin and Structure of the Universe’, the Transregio programme TR33 ‘The Dark Universe’ and the Ludwig-Maximilians-Universität. This paper has gone through internal review by the DES and SPT collaborations. The South Pole Telescope is supported by the National Science Foundation through grant PLR-1248097. Partial support is also provided by the NSF Physics Frontier Center grant PHY-1125897 to the Kavli Institute of Cosmological Physics at the University of Chicago, the Kavli Foundation and the Gordon and Betty Moore Foundation grant GBMF 947. We are grateful for the extraordinary contributions of our CTIO colleagues and the DECam Construction, Commissioning and Science Verification teams in achieving the excellent instrument and telescope conditions that have made this work possible. The success of this project also relies critically on the expertise and dedication of the DES Data Management group. Funding for the DES Projects has been provided by the US Department of Energy, the US 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

FundersFunder number
Centro de Excelencia Severo OchoaSEV-2012-0234
Collaborating Institutions in the Dark Energy Survey
DFG Cluster of Excellence ‘Origin and Structure of the Universe
FP7/2007
Kavli Institute of Cosmological Physics at the University of Chicago
Ministry of Science and Education of Spain
Mitchell Institute for Fundamental Physics and Astronomy at Texas A&M University
NSF Physics Frontier CenterPHY-1125897
National Center for Supercomputing Applications at the University of Illinois at Urbana-Champaign
US Department of Energy
US National Science Foundation
National Science FoundationPLR-1248097, AST-1138766
Gordon and Betty Moore FoundationGBMF 947
Kavli Foundation
Seventh Framework Programme1248097, 1138766, 240672, 306478, 1125897, 291329
Higher Education Funding Council for England
Center for Cosmology and Astroparticle Physics, Ohio State University
Science and Technology Facilities Council
European Research Council
Deutsche Forschungsgemeinschaft
Ministerio de Economía y CompetitividadFPA2013-47986, AYA2012-39559, ESP2013-48274
Conselho Nacional de Desenvolvimento Científico e Tecnológico
Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro
Financiadora de Estudos e Projetos
Seventh Framework Programme
Ministério da Ciência e Tecnologia

    Keywords

    • Galaxies: abundances
    • Galaxies: clusters: general
    • Large-scale structure of Universe
    • Methods: observational
    • Methods: statistical

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