Stellar mass as a galaxy cluster mass proxy: application to the Dark Energy Survey redMaPPer clusters
Abstract We introduce a galaxy cluster mass observable, μ⋆, based on the stellar masses of cluster members, and we present results for the Dark Energy Survey (DES) Year 1 (Y1) observations. Stellar masses are computed using a Bayesian model averaging method, and are validated for DES data using simu...
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Published in: | Monthly notices of the Royal Astronomical Society Vol. 493; no. 4; pp. 4591 - 4606 |
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Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Format: | Journal Article |
Language: | English |
Published: |
United Kingdom
Oxford University Press
01-04-2020
Royal Astronomical Society |
Subjects: | |
Online Access: | Get full text |
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Summary: | Abstract
We introduce a galaxy cluster mass observable, μ⋆, based on the stellar masses of cluster members, and we present results for the Dark Energy Survey (DES) Year 1 (Y1) observations. Stellar masses are computed using a Bayesian model averaging method, and are validated for DES data using simulations and COSMOS data. We show that μ⋆ works as a promising mass proxy by comparing our predictions to X-ray measurements. We measure the X-ray temperature–μ⋆ relation for a total of 129 clusters matched between the wide-field DES Y1 redMaPPer catalogue and Chandra and XMM archival observations, spanning the redshift range 0.1 < $z$ < 0.7. For a scaling relation that is linear in logarithmic space, we find a slope of α = 0.488 ± 0.043 and a scatter in the X-ray temperature at fixed μ⋆ of $\sigma _{{\rm ln} T_\mathrm{ X}|\mu _\star }= 0.266^{+0.019}_{-0.020}$ for the joint sample. By using the halo mass scaling relations of the X-ray temperature from the Weighing the Giants program, we further derive the μ⋆-conditioned scatter in mass, finding $\sigma _{{\rm ln} M|\mu _\star }= 0.26^{+ 0.15}_{- 0.10}$. These results are competitive with well-established cluster mass proxies used for cosmological analyses, showing that μ⋆ can be used as a reliable and physically motivated mass proxy to derive cosmological constraints. |
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Bibliography: | USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR) FERMILAB-PUB-19-103-AE; arXiv:1903.08813 AC02-76SF00515; FP7/291329; ST/N504452/1; AST1138766; AYA2012- 39559; ESP2013-48274; FPA2013-47986; SEV-2012-0234; s\ 240672; 306478; AC02-07CH11359; SC0019193; AC05-00OR22725 USDOE Office of Science (SC), High Energy Physics (HEP) National Science Foundation (NSF) European Research Council (ERC) |
ISSN: | 0035-8711 1365-2966 |
DOI: | 10.1093/mnras/staa526 |