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    Rights statement: This is a pre-copy-editing, author-produced PDF of an article accepted for publication in Monthly Notices of the Royal Astronomical Society following peer review. The definitive publisher-authenticated version 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, M Sahlén, J Stott,[et al.] , (DES Collaboration), 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, Volume 488, Issue 1, September 2019, Pages 1–17, https://doi.org/10.1093/mnras/stz1612 is available online at: https://academic.oup.com/mnras/article/488/1/1/5513465

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Galaxies in X-ray Selected Clusters and Groups in Dark Energy Survey Data II: Hierarchical Bayesian Modeling 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 Modeling of the Red-Sequence Galaxy Luminosity Function. / DES Collaboration.

In: Monthly Notices of the Royal Astronomical Society, Vol. 488, No. 1, 01.09.2019, p. 1-17.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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DES Collaboration. Galaxies in X-ray Selected Clusters and Groups in Dark Energy Survey Data II: Hierarchical Bayesian Modeling of the Red-Sequence Galaxy Luminosity Function. Monthly Notices of the Royal Astronomical Society. 2019 Sep 1;488(1):1-17. Epub 2019 Jun 10. doi: 10.1093/mnras/stz1612

Author

DES Collaboration. / Galaxies in X-ray Selected Clusters and Groups in Dark Energy Survey Data II: Hierarchical Bayesian Modeling of the Red-Sequence Galaxy Luminosity Function. In: Monthly Notices of the Royal Astronomical Society. 2019 ; Vol. 488, No. 1. pp. 1-17.

Bibtex

@article{d20152b3017843f7b0355dc2e1297393,
title = "Galaxies in X-ray Selected Clusters and Groups in Dark Energy Survey Data II: Hierarchical Bayesian Modeling of the Red-Sequence Galaxy Luminosity Function",
abstract = "Using ˜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 luminosity function simultaneously in redshift (0.1 <z <1.05) and cluster mass (13.5 \le {log_{10}}(M_{200crit}) ˜ <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 Schecter function, including its characteristic break (m*) to a faint end power-law slope (α). Our method enables us to avoid known issues in similar analyses based on stacking or binning the clusters. We find weak and statistically insignificant (˜1.9σ) evolution in the faint end slope α versus redshift. We also find no dependence in α or m* with the X-ray inferred cluster masses. However, the amplitude of the LF as a function of cluster mass is constrained to ˜20% 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.",
keywords = "galaxies: evolution, galaxies: clusters: general",
author = "{DES Collaboration} and Y. Zhang and Miller, {C. J.} and P. Rooney and A. Bermeo and Romer, {A. K.} and Cervantes, {C. Vergara} and Rykoff, {E. S.} and C. Hennig and R. Das and T. McKay and J. Song and H. Wilcox and D. Bacon and Bridle, {S. L.} and C. Collins and C. Conselice and M. Hilton and B. Hoyle and S. Kay and Liddle, {A. R.} and Mann, {R. G.} and N. Mehrtens and J. Mayers and Nichol, {R. C.} and M. Sahl{\'e}n and J. Stott and Viana, {P. T. P.} and Wechsler, {R. H.} and T. Abbott and Abdalla, {F. B.} and S. Allam and A. Benoit-L{\'e}vy and D. Brooks and E. Buckley-Geer and Burke, {D. L.} and {Carnero Rosell}, A. and {Carrasco Kind}, M. and J. Carretero and Castander, {F. J.} and M. Crocce and Cunha, {C. E.} and D'Andrea, {C. B.} and {da Costa}, {L. N.} and Diehl, {H. T.} and Dietrich, {J. P.} and Eifler, {T. F.} and B. Flaugher and P. Fosalba and J. Garc{\'i}a-Bellido and E. Gaztanaga",
note = "This is a pre-copy-editing, author-produced PDF of an article accepted for publication in Monthly Notices of the Royal Astronomical Society following peer review. The definitive publisher-authenticated version 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, M Sahl{\'e}n, J Stott,[et al.] , (DES Collaboration), 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, Volume 488, Issue 1, September 2019, Pages 1–17, https://doi.org/10.1093/mnras/stz1612 is available online at: https://academic.oup.com/mnras/article/488/1/1/5513465",
year = "2019",
month = sep,
day = "1",
doi = "10.1093/mnras/stz1612",
language = "English",
volume = "488",
pages = "1--17",
journal = "Monthly Notices of the Royal Astronomical Society",
issn = "0035-8711",
publisher = "OXFORD UNIV PRESS",
number = "1",

}

RIS

TY - JOUR

T1 - Galaxies in X-ray Selected Clusters and Groups in Dark Energy Survey Data II: Hierarchical Bayesian Modeling of the Red-Sequence Galaxy Luminosity Function

AU - DES Collaboration

AU - Zhang, Y.

AU - Miller, C. J.

AU - Rooney, P.

AU - Bermeo, A.

AU - Romer, A. K.

AU - Cervantes, C. Vergara

AU - Rykoff, E. S.

AU - Hennig, C.

AU - Das, R.

AU - McKay, T.

AU - Song, J.

AU - Wilcox, H.

AU - Bacon, D.

AU - Bridle, S. L.

AU - Collins, C.

AU - Conselice, C.

AU - Hilton, M.

AU - Hoyle, B.

AU - Kay, S.

AU - Liddle, A. R.

AU - Mann, R. G.

AU - Mehrtens, N.

AU - Mayers, J.

AU - Nichol, R. C.

AU - Sahlén, M.

AU - Stott, J.

AU - Viana, P. T. P.

AU - Wechsler, R. H.

AU - Abbott, T.

AU - Abdalla, F. B.

AU - Allam, S.

AU - Benoit-Lévy, A.

AU - Brooks, D.

AU - Buckley-Geer, E.

AU - Burke, D. L.

AU - Carnero Rosell, A.

AU - Carrasco Kind, M.

AU - Carretero, J.

AU - Castander, F. J.

AU - Crocce, M.

AU - Cunha, C. E.

AU - D'Andrea, C. B.

AU - da Costa, L. N.

AU - Diehl, H. T.

AU - Dietrich, J. P.

AU - Eifler, T. F.

AU - Flaugher, B.

AU - Fosalba, P.

AU - García-Bellido, J.

AU - Gaztanaga, E.

N1 - This is a pre-copy-editing, author-produced PDF of an article accepted for publication in Monthly Notices of the Royal Astronomical Society following peer review. The definitive publisher-authenticated version 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, M Sahlén, J Stott,[et al.] , (DES Collaboration), 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, Volume 488, Issue 1, September 2019, Pages 1–17, https://doi.org/10.1093/mnras/stz1612 is available online at: https://academic.oup.com/mnras/article/488/1/1/5513465

PY - 2019/9/1

Y1 - 2019/9/1

N2 - Using ˜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 luminosity function simultaneously in redshift (0.1 <z <1.05) and cluster mass (13.5 \le {log_{10}}(M_{200crit}) ˜ <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 Schecter function, including its characteristic break (m*) to a faint end power-law slope (α). Our method enables us to avoid known issues in similar analyses based on stacking or binning the clusters. We find weak and statistically insignificant (˜1.9σ) evolution in the faint end slope α versus redshift. We also find no dependence in α or m* with the X-ray inferred cluster masses. However, the amplitude of the LF as a function of cluster mass is constrained to ˜20% 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.

AB - Using ˜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 luminosity function simultaneously in redshift (0.1 <z <1.05) and cluster mass (13.5 \le {log_{10}}(M_{200crit}) ˜ <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 Schecter function, including its characteristic break (m*) to a faint end power-law slope (α). Our method enables us to avoid known issues in similar analyses based on stacking or binning the clusters. We find weak and statistically insignificant (˜1.9σ) evolution in the faint end slope α versus redshift. We also find no dependence in α or m* with the X-ray inferred cluster masses. However, the amplitude of the LF as a function of cluster mass is constrained to ˜20% 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.

KW - galaxies: evolution

KW - galaxies: clusters: general

U2 - 10.1093/mnras/stz1612

DO - 10.1093/mnras/stz1612

M3 - Journal article

VL - 488

SP - 1

EP - 17

JO - Monthly Notices of the Royal Astronomical Society

JF - Monthly Notices of the Royal Astronomical Society

SN - 0035-8711

IS - 1

ER -