publication . Article . Preprint . Research . 2020

Stellar mass as a galaxy cluster mass proxy: application to the Dark Energy Survey redMaPPer clusters

G. Tarle; T. McClintock; Risa H. Wechsler; Risa H. Wechsler; D. L. Burke; D. L. Burke; Daniel Thomas; Eric Suchyta; E. J. Sanchez; Santiago Avila; ...
Open Access English
  • Published: 01 Apr 2020
  • Publisher: Oxford University Press
  • Country: United Kingdom
Abstract
We introduce a galaxy cluster mass observable, $\mu_\star$, based on the stellar masses of cluster members, and we present results for the Dark Energy Survey (DES) Year 1 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 $\mu_\star$ works as a promising mass proxy by comparing our predictions to X-ray measurements. We measure the X-ray temperature-$\mu_\star$ relation for a total of 150 clusters matched between the wide-field DES Year 1 redMaPPer catalogue, and Chandra and XMM archival observations, spanning the redshift range $0.1<z<0.7$. For a scalin...
Subjects
arXiv: Astrophysics::Cosmology and Extragalactic AstrophysicsAstrophysics::Earth and Planetary AstrophysicsAstrophysics::Galaxy AstrophysicsAstrophysics::Solar and Stellar Astrophysics
free text keywords: Astrophysics - Cosmology and Nongalactic Astrophysics, surveys, galaxies: clusters: general, galaxies: evolution, galaxies: haloes cosmology: observations,, Space and Planetary Science, Astronomy and Astrophysics, Stellar mass, Astrophysics, Redshift, Physics, Sigma, Dark energy, Galaxy cluster, Cluster (physics), Halo, Observable
Funded by
RCUK| STFC Sussex 2015 DTP
Project
  • Funder: Research Council UK (RCUK)
  • Project Code: ST/N504452/1
  • Funding stream: STFC
,
EC| COSMICDAWN
Project
COSMICDAWN
Understanding the Origin of Cosmic Structure
  • Funder: European Commission (EC)
  • Project Code: 306478
  • Funding stream: FP7 | SP2 | ERC
,
NSF| Collaborative Research: The Dark Energy Survey Data Management Operations
Project
  • Funder: National Science Foundation (NSF)
  • Project Code: 1138766
  • Funding stream: Directorate for Mathematical & Physical Sciences | Division of Astronomical Sciences
,
EC| TESTDE
Project
TESTDE
Testing the Dark Energy Paradigm and Measuring Neutrino Mass with the Dark Energy Survey
  • Funder: European Commission (EC)
  • Project Code: 291329
  • Funding stream: FP7 | SP2 | ERC
,
EC| COGS
Project
COGS
Capitalizing on Gravitational Shear
  • Funder: European Commission (EC)
  • Project Code: 240672
  • Funding stream: FP7 | SP2 | ERC
83 references, page 1 of 6

Abbott T. M. C. et al., 2018, ApJS, 239, 18

Andreon S., 2012, A&A, 548, A83

Andreon S., 2015, A&A, 582, A100

Arnaud K. A., 1996, in Jacoby G. H., Barnes J., eds, ASP Conf. Ser. Vol. 101, Astronomical Data Analysis Software and Systems V. Astron. Soc. Pac., San Francisco, p. 17

Arnaud M., Pointecouteau E., Pratt G. W., 2005, A&A, 441, 893

Ben´ıtez N., 2000, ApJ, 536, 571

Bertin E., Arnouts S., 1996, A&AS, 117, 393

Blanton M. R., Roweis S., 2007, AJ, 133, 734

Bradshaw C., Leauthaud A., Hearin A., Huang S., Behroozi P., 2020, MNRAS, 493, 337

Bruzual G., Charlot S., 2003, MNRAS, 344, 1000

Bryan G. L., Norman M. L., 1998, ApJ, 495, 80

Butcher H., Oemler A., Jr, 1978, ApJ, 226, 559

Butcher H., Oemler A., Jr, 1984, ApJ, 285, 426

Capozzi D. et al., 2017, preprint (arXiv:1707.09066)

Chiu I. et al., 2018, MNRAS, 478, 3072

83 references, page 1 of 6
Abstract
We introduce a galaxy cluster mass observable, $\mu_\star$, based on the stellar masses of cluster members, and we present results for the Dark Energy Survey (DES) Year 1 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 $\mu_\star$ works as a promising mass proxy by comparing our predictions to X-ray measurements. We measure the X-ray temperature-$\mu_\star$ relation for a total of 150 clusters matched between the wide-field DES Year 1 redMaPPer catalogue, and Chandra and XMM archival observations, spanning the redshift range $0.1<z<0.7$. For a scalin...
Subjects
arXiv: Astrophysics::Cosmology and Extragalactic AstrophysicsAstrophysics::Earth and Planetary AstrophysicsAstrophysics::Galaxy AstrophysicsAstrophysics::Solar and Stellar Astrophysics
free text keywords: Astrophysics - Cosmology and Nongalactic Astrophysics, surveys, galaxies: clusters: general, galaxies: evolution, galaxies: haloes cosmology: observations,, Space and Planetary Science, Astronomy and Astrophysics, Stellar mass, Astrophysics, Redshift, Physics, Sigma, Dark energy, Galaxy cluster, Cluster (physics), Halo, Observable
Funded by
RCUK| STFC Sussex 2015 DTP
Project
  • Funder: Research Council UK (RCUK)
  • Project Code: ST/N504452/1
  • Funding stream: STFC
,
EC| COSMICDAWN
Project
COSMICDAWN
Understanding the Origin of Cosmic Structure
  • Funder: European Commission (EC)
  • Project Code: 306478
  • Funding stream: FP7 | SP2 | ERC
,
NSF| Collaborative Research: The Dark Energy Survey Data Management Operations
Project
  • Funder: National Science Foundation (NSF)
  • Project Code: 1138766
  • Funding stream: Directorate for Mathematical & Physical Sciences | Division of Astronomical Sciences
,
EC| TESTDE
Project
TESTDE
Testing the Dark Energy Paradigm and Measuring Neutrino Mass with the Dark Energy Survey
  • Funder: European Commission (EC)
  • Project Code: 291329
  • Funding stream: FP7 | SP2 | ERC
,
EC| COGS
Project
COGS
Capitalizing on Gravitational Shear
  • Funder: European Commission (EC)
  • Project Code: 240672
  • Funding stream: FP7 | SP2 | ERC
83 references, page 1 of 6

Abbott T. M. C. et al., 2018, ApJS, 239, 18

Andreon S., 2012, A&A, 548, A83

Andreon S., 2015, A&A, 582, A100

Arnaud K. A., 1996, in Jacoby G. H., Barnes J., eds, ASP Conf. Ser. Vol. 101, Astronomical Data Analysis Software and Systems V. Astron. Soc. Pac., San Francisco, p. 17

Arnaud M., Pointecouteau E., Pratt G. W., 2005, A&A, 441, 893

Ben´ıtez N., 2000, ApJ, 536, 571

Bertin E., Arnouts S., 1996, A&AS, 117, 393

Blanton M. R., Roweis S., 2007, AJ, 133, 734

Bradshaw C., Leauthaud A., Hearin A., Huang S., Behroozi P., 2020, MNRAS, 493, 337

Bruzual G., Charlot S., 2003, MNRAS, 344, 1000

Bryan G. L., Norman M. L., 1998, ApJ, 495, 80

Butcher H., Oemler A., Jr, 1978, ApJ, 226, 559

Butcher H., Oemler A., Jr, 1984, ApJ, 285, 426

Capozzi D. et al., 2017, preprint (arXiv:1707.09066)

Chiu I. et al., 2018, MNRAS, 478, 3072

83 references, page 1 of 6
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