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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

Author(s): Zhang, Y; Miller, CJ; Rooney, P; Bermeo, A; Romer, AK; et al

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Abstract: 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.
Publication Date: Sep-2019
Electronic Publication Date: 10-Jun-2019
Citation: Zhang, Y, Miller, CJ, Rooney, P, Bermeo, A, Romer, AK, Cervantes, C Vergara, Rykoff, ES, Hennig, C, Das, R, Mckay, T, Song, J, Wilcox, H, Bacon, D, Bridle, SL, Collins, C, Conselice, C, Hilton, M, Hoyle, B, Kay, S, Liddle, AR, Mann, RG, Mehrtens, N, Mayers, J, Nichol, RC, Sahlen, M, Stott, J, Viana, PTP, Wechsler, RH, Abbott, T, Abdalla, FB, Allam, S, Benoit-Levy, A, Brooks, D, Buckley-Geer, E, Burke, DL, Carnero Rosell, A, Kind, M Carrasco, Carretero, J, Castander, FJ, Crocce, M, Cunha, CE, D Andrea, CB, da Costa, LN, Diehl, HT, Dietrich, JP, Eifler, TF, Flaugher, B, Fosalba, P, Garcia-Bellido, J, Gaztanaga, E, Gerdes, DW, Gruen, D, Gruendl, RA, Gschwend, J, Gutierrez, G, Honscheid, K, James, DJ, Jeltema, T, Kuehn, K, Kuropatkin, N, Lima, M, Lin, H, Maia, MAG, March, M, Marshall, JL, Melchior, P, Menanteau, F, Miquel, R, Ogando, RLC, Plazas, AA, Sanchez, E, Schubnell, M, Sevilla-Noarbe, I, Smith, M, Soares-Santos, M, Sobreira, F, Suchyta, E, Swanson, MEC, Tarle, G, Walker, AR, Collaboration, DES. (2019). Galaxies in X-ray selected clusters and groups in Dark Energy Survey data - II. Hierarchical Bayesian modelling of the red-sequence galaxy luminosity function. MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 488 (1 - 17. doi:10.1093/mnras/stz1612
DOI: doi:10.1093/mnras/stz1612
ISSN: 0035-8711
EISSN: 1365-2966
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Pages: 1 - 17
Type of Material: Journal Article
Version: Final published version. Article is made available in OAR by the publisher's permission or policy.

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