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 σlnTX|μ* = 0.266+−00019020 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 σlnM|μ* = 0.26+−001510. 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.
Original language | English (US) |
---|---|
Pages (from-to) | 4591-4606 |
Number of pages | 16 |
Journal | Monthly Notices of the Royal Astronomical Society |
Volume | 493 |
Issue number | 4 |
DOIs | |
State | Published - Apr 1 2020 |
Keywords
- Cosmology: observations
- Galaxies: clusters: general
- Galaxies: evolution
- Galaxies: haloes
- Surveys
ASJC Scopus subject areas
- Astronomy and Astrophysics
- Space and Planetary Science
Fingerprint
Dive into the research topics of 'Stellar mass as a galaxy cluster mass proxy: Application to the Dark Energy Survey redMaPPer clusters'. Together they form a unique fingerprint.Datasets
-
Stellar mass as a galaxy cluster mass proxy
Palmese, A. (Creator), Annis, J. (Creator), Burgad, J. (Creator), Farahi, A. (Creator), Soares-Santos, M. (Creator), Welch, B. (Creator), da Silva, P. M. (Contributor), Lin, H. (Creator), Bhargava, S. (Creator), Hollowood, D. L. (Creator), Wilkinson, R. (Creator), Giles, P. (Creator), Jeltema, T. (Creator), Romer, A. K. (Creator), Evrard, A. E. (Creator), Hilton, M. (Creator), Vergara, C. C. (Creator), Bermeo, A. (Creator), Mayers, J. (Creator), DeRose, J. (Contributor), Gruen, D. (Creator), Hartley, W. G. (Creator), Lahav, O. (Creator), Leistedt, B. (Creator), McClintock, T. (Contributor), Rozo, E. (Creator), Rykoff, E. S. (Creator), Varga, T. N. (Creator), Wechsler, R. H. (Creator), Zhang, Y. (Creator), Avila, S. (Creator), Brooks, D. (Creator), Buckley-Geer, E. (Creator), Burke, D. L. (Creator), Carnero, R. A. (Creator), Carrasco, K. M. (Creator), Carretero, J. (Creator), Castander, F. J. (Creator), Collins, C. (Creator), da Costa, L. N. (Contributor), Desai, S. (Creator), de Vicente, J. (Contributor), Diehl, H. T. (Creator), Dietrich, J. P. (Creator), Doel, P. (Creator), Flaugher, B. (Creator), Fosalba, P. (Creator), Frieman, J. (Creator), Garcia-Bellido, J. (Contributor), Gerdes, D. W. (Creator), Gruendl, R. A. (Creator), Gschwend, J. (Creator), Gutierrez, G. (Creator), Honscheid, K. (Creator), James, D. J. (Creator), Krause, E. (Creator), Kuehn, K. (Creator), Kuropatkin, N. (Creator), Liddle, A. (Creator), Lima, M. (Creator), Maia, M. A. G. (Contributor), Mann, R. G. (Creator), Marshall, J. L. (Creator), Menanteau, F. (Creator), Miquel, R. (Creator), Ogando, R. L. C. (Contributor), Plazas, A. A. (Creator), Roodman, A. (Creator), Rooney, P. (Creator), Sahlen, M. (Creator), Sanchez, E. (Creator), Scarpine, V. (Creator), Schubnell, M. (Creator), Serrano, S. (Creator), Sevilla-Noarbe, I. (Creator), Sobreira, F. (Creator), Stott, J. (Creator), Suchyta, E. (Creator), Swanson, M. E. C. (Contributor), Thomas, D. (Creator), Tucker, D. L. (Creator), Viana, P. T. P. (Contributor), Vikram, V. (Creator), Walker, A. R. (Creator) & Tarlè, G. G. (Contributor), Centre de Donnees Strasbourg (CDS), 2023
DOI: 10.26093/cds/vizier.74934591, https://cdsarc.cds.unistra.fr/viz-bin/cat/J/MNRAS/493/4591
Dataset