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1.	Zhang, Y., et al. (author) Galaxies in X-ray selected clusters and groups in Dark Energy Survey data - II. Hierarchical Bayesian modelling of the red-sequence galaxy luminosity function 2019 In: Monthly notices of the Royal Astronomical Society. - : OXFORD UNIV PRESS. - 0035-8711 .- 1365-2966. ; 488:1, s. 1-17 Journal article (peer-reviewed)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.
2.	Jones, D. L., et al. (author) High dynamic range VLBI observations of NGC 6251 1986 In: Astrophysical Journal. - Philadelphia, United States : Institute of Physics Publishing, Inc. - 0004-637X .- 1538-4357. ; 305:2, s. 684-697 Journal article (peer-reviewed)

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Type of publication: journal article (2)

Type of content: peer-reviewed (2)

Author/Editor: Smith, M. (1); Zhang, Y. (1); Diehl, H. T. (1); Gutierrez, G. (1); Song, J. (1); Kuehn, K. (1); show more...; Buckley-Geer, E. (1); Fosalba, P. (1); Gaztañaga, E. (1); Soares-Santos, M. (1); Mayers, J (1); Lin, H (1); Walker, R. C. (1); Miquel, R (1); Benoit-Levy, A. (1); Tarle, G (1); Abbott, T (1); Bååth, L.B. 1948- (1); Booth, R.S. (1); Abdalla, F. B. (1); Brooks, D. (1); Burke, D. L. (1); Carnero Rosell, A. (1); Carretero, J. (1); Crocce, M. (1); Cunha, C. E. (1); D'Andrea, C. B. (1); da Costa, L. N. (1); Dietrich, J. P. (1); Eifler, T. F. (1); Flaugher, B. (1); Gerdes, D. W. (1); Gruen, D. (1); Gruendl, R. A. (1); Honscheid, K. (1); James, D. J. (1); Kuropatkin, N. (1); Maia, M. A. G. (1); March, M. (1); Marshall, J. L. (1); Miller, C. J. (1); Plazas, A. A. (1); Romer, A. K. (1); Rykoff, E. S. (1); Sanchez, E. (1); Schubnell, M. (1); Sevilla-Noarbe, I. (1); Sobreira, F. (1); Suchyta, E. (1); Swanson, M. E. C. (1); show less...

University: Uppsala University (1); Halmstad University (1)

Language: English (2)

Research subject (UKÄ/SCB): Natural sciences (2)

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