Galaxies in X-ray selected clusters and groups in Dark Energy Survey data - II. Hierarchical Bayesian modelling of the red-sequence galaxy luminosity function

Y. Zhang; C. J. Miller; P. Rooney; A. Bermeo; A. K. Romer; C. Vergara Cervantes; E. S. Rykoff; C. Hennig; R. Das; T. Mckay; J. Song; H. Wilcox; D. Bacon; S. L. Bridle; C. Collins; C. Conselice; M. Hilton; B. Hoyle; S. Kay; A. R. Liddle; R. G. Mann; N. Mehrtens; J. Mayers; R. C. Nichol; Martin Sahlén; J. Stott; P. T. P. Viana; R. H. Wechsler; T. Abbott; F. B. Abdalla; S. Allam; A. Benoit-Levy; D. Brooks; E. Buckley-Geer; D. L. Burke; A. Carnero Rosell; M. Carrasco Kind; J. Carretero; F. J. Castander; M. Crocce; C. E. Cunha; C. B. D'Andrea; L. N. da Costa; H. T. Diehl; J. P. Dietrich; T. F. Eifler; B. Flaugher; P. Fosalba; J. Garcia-Bellido; E. Gaztanaga; D. W. Gerdes; D. Gruen; R. A. Gruendl; J. Gschwend; G. Gutierrez; K. Honscheid; D. J. James; T. Jeltema; K. Kuehn; N. Kuropatkin; M. Lima; H. Lin; M. A. G. Maia; M. March; J. L. Marshall; P. Melchior; F. Menanteau; R. Miquel; R. L. C. Ogando; A. A. Plazas; E. Sanchez; M. Schubnell; I. Sevilla-Noarbe; M. Smith; M. Soares-Santos; F. Sobreira; E. Suchyta; M. E. C. Swanson; G. Tarle; A. R. Walker; DES Collaboration

doi:10.1093/mnras/stz1612

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Galaxies in X-ray selected clusters and groups in Dark Energy Survey data - II. Hierarchical Bayesian modelling of the red-sequence galaxy luminosity function

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Galaxies in X-ray selected clusters and groups in Dark Energy Survey data - II. Hierarchical Bayesian modelling of the red-sequence galaxy luminosity function

Y. Zhang, C. J. Miller, P. Rooney, A. Bermeo, A. K. Romer, C. Vergara Cervantes, E. S. Rykoff, C. Hennig, R. Das, T. Mckay, …

Monthly notices of the Royal Astronomical Society, Vol.488(1), pp.1-17

2019

DOI: https://doi.org/10.1093/mnras/stz1612

Abstract

Astronomi, astrofysik och kosmologi

Astronomy, Astrophysics and Cosmology

Fysik

galaxies: clusters: general

galaxies: evolution

Naturvetenskap

Natural Sciences

Physical Sciences

Using similar to 100 X-ray selected clusters in the Dark Energy Survey Science Verification data, we constrain the luminosity function ( LF) of cluster red-sequence galaxies as a function of redshift. This is the first homogeneous optical/X-ray sample large enough to constrain the evolution of the LF simultaneously in redshift ( 0.1 < z < 1.05) and cluster mass ( 13.5 <= log(10)( M-200crit) similar to< 15.0). We pay particular attention to completeness issues and the detection limit of the galaxy sample. We then apply a hierarchical Bayesian model to fit the cluster galaxy LFs via a Schechter function, including its characteristic break ( m*) to a faint end power-law slope ( alpha). Our method enables us to avoid known issues in similar analyses based on stacking or binning the clusters. We find weak and statistically insignificant (similar to 1.9 sigma) evolution in the faint end slope alpha versus redshift. We also find no dependence in alpha or m* with the X-ray inferred cluster masses. However, the amplitude of the LF as a function of cluster mass is constrained to similar to 20 per cent precision. As a by-product of our algorithm, we utilize the correlation between the LF and cluster mass to provide an improved estimate of the individual cluster masses as well as the scatter in true mass given the X-ray inferred masses. This technique can be applied to a larger sample of X-ray or optically selected clusters from the Dark Energy Survey, significantly improving the sensitivity of the analysis.

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Title: Galaxies in X-ray selected clusters and groups in Dark Energy Survey data - II. Hierarchical Bayesian modelling of the red-sequence galaxy luminosity function
Creators: Y. Zhang - Fermi National Accelerator Laboratory
C. J. Miller - University of Michigan–Ann Arbor
P. Rooney - University of Sussex
A. Bermeo - University of Sussex
A. K. Romer - University of Sussex
C. Vergara Cervantes - University of Sussex
E. S. Rykoff - Stanford University
C. Hennig - Ludwig-Maximilians-Universität München
R. Das - University of Michigan–Ann Arbor
T. Mckay - University of Michigan–Ann Arbor
J. Song - Supreme Council Of Health
H. Wilcox - University of Portsmouth
D. Bacon - University of Portsmouth
S. L. Bridle - University of Manchester
C. Collins - Liverpool John Moores University
C. Conselice - University of Nottingham
M. Hilton - University of KwaZulu-Natal
B. Hoyle - Ludwig-Maximilians-Universität München
S. Kay - University of Manchester
A. R. Liddle - UK Astronomy Technology Centre
R. G. Mann - University of Edinburgh
N. Mehrtens - Mitchell Institute
J. Mayers - University of Sussex
R. C. Nichol - University of Portsmouth
Martin Sahlén - Uppsala University
J. Stott - Lancaster University
P. T. P. Viana - Institute of Astrophysics and Space Sciences
R. H. Wechsler - Stanford University
T. Abbott - Natl Opt Astron Observ, Cerro Tololo Interamer Observ, Casilla 603, La Serena, Chile
F. B. Abdalla - University College London
S. Allam - Fermi National Accelerator Laboratory
A. Benoit-Levy - University College London
D. Brooks - University College London
E. Buckley-Geer - Fermi National Accelerator Laboratory
D. L. Burke - Stanford University
A. Carnero Rosell
M. Carrasco Kind - University of Illinois Urbana-Champaign
J. Carretero - Institute for High Energy Physics
F. J. Castander - Institute of Space Sciences
M. Crocce - Institute of Space Sciences
C. E. Cunha - Stanford University
C. B. D'Andrea - Univ Penn, Dept Phys & Astron, Philadelphia, PA 19104 USA
L. N. da Costa - Laboratório Interinstitucional de e-Astronomia
H. T. Diehl - Fermi National Accelerator Laboratory
J. P. Dietrich - Excellence Cluster Universe
T. F. Eifler - California Institute of Technology
B. Flaugher - Fermi National Accelerator Laboratory
P. Fosalba - Institute of Space Sciences
J. Garcia-Bellido - Autonomous University of Madrid
E. Gaztanaga - Institute of Space Sciences
D. W. Gerdes - University of Michigan–Ann Arbor
D. Gruen - Kavli Institute for Particle Astrophysics and Cosmology
R. A. Gruendl - National Center for Supercomputing Applications
J. Gschwend - Laboratório Interinstitucional de e-Astronomia
G. Gutierrez - Fermi National Accelerator Laboratory
K. Honscheid - The Ohio State University
D. J. James - University of Washington
T. Jeltema - Santa Cruz Institute for Particle Physics, Santa Cruz, CA 95064, USA
K. Kuehn - Australian Astronomical Observatory
N. Kuropatkin - Fermi National Accelerator Laboratory
M. Lima - Universidade de São Paulo
H. Lin - Fermi National Accelerator Laboratory
M. A. G. Maia - Laboratório Interinstitucional de e-Astronomia
M. March - University of Pennsylvania
J. L. Marshall - Mitchell Institute
P. Melchior - Princeton University
F. Menanteau - University of Illinois Urbana-Champaign
R. Miquel - Institute for High Energy Physics
R. L. C. Ogando
A. A. Plazas - California Institute of Technology
E. Sanchez - Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas
M. Schubnell - University of Michigan–Ann Arbor
I. Sevilla-Noarbe - Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas
M. Smith - University of Southampton
M. Soares-Santos - Fermi National Accelerator Laboratory
F. Sobreira - Laboratório Interinstitucional de e-Astronomia
E. Suchyta - Oak Ridge National Laboratory
M. E. C. Swanson - National Center for Supercomputing Applications
G. Tarle - University of Michigan–Ann Arbor
A. R. Walker - Cerro Tololo Inter-American Observatory
DES Collaboration
Publication Details: Monthly notices of the Royal Astronomical Society, Vol.488(1), pp.1-17
Date published: 2019
Identifiers: 99783849002346
Academic Unit: FEPS Central Faculty Admin
Language: English
Resource Type: Journal article

Galaxies in X-ray selected clusters and groups in Dark Energy Survey data - II. Hierarchical Bayesian modelling of the red-sequence galaxy luminosity function

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