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Related papers: Substructure of the galaxy clusters in the REXCESS…

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The main goals of the present work are (i) to study the substructure content of a representative, X-ray selected sample of 31 galaxy clusters, as traced by the spatial distribution of their red-sequence galaxies, and (ii) to compare it to…

Astrophysics of Galaxies · Physics 2019-01-29 Gaël Foëx

The largest uncertainty for cosmological studies using clusters of galaxies is introduced by our limited knowledge of the statistics of galaxy cluster structure, and of the scaling relations between observables and cluster mass. To improve…

We present a morphological study of 35 X-ray luminous galaxy clusters at 0.15<z<0.3, selected in a similar manner to the Local Cluster Substructure Survey (LoCuSS), for which deep XMM-Newton observations are available. We characterise the…

Cosmology and Nongalactic Astrophysics · Physics 2015-06-11 Gayoung Chon , Hans Boehringer , Graham P. Smith

X-ray observations of galaxy clusters reveal a large range of morphologies with various degrees of disturbance, showing that the assumptions of hydrostatic equilibrium and spherical shape which are used to determine the cluster mass from…

Cosmology and Nongalactic Astrophysics · Physics 2012-12-11 A. Weißmann , H. Böhringer , R. Suhada , S. Ameglio

We present a study of the structural and scaling properties of the gas distributions in the intracluster medium (ICM) of 31 nearby (z < 0.2) clusters observed with XMM-Newton, which together comprise the Representative XMM-Newton Cluster…

Results of a systematic study of substructure in X-ray surface brightness distributions of a combined sample of 470 REFLEX+BCS clusters of galaxies are presented. The fully automized morphology analysis is based on data of the 3rd…

Astrophysics · Physics 2009-11-07 P. Schuecker , H. Boehringer , T. H. Reiprich , L. Feretti

We present a detailed study of the morphological features of 22 rich galaxy clusters. Our sample is constructed from a cross-correlation of optical (Abell+APM) data with X-ray (0.1 - 2.4) keV ROSAT pointed observations. We systematically…

With the advent of wide-field cosmological surveys, we are approaching samples of hundreds of thousands of galaxy clusters. While such large numbers will help reduce statistical uncertainties, the control of systematics in cluster masses…

We present a comparison of optical and X-ray properties of galaxy clusters in the northern sky. We determine the recovery rate of X-ray detected clusters in the optical as a function of richness, redshift and X-ray luminosity, showing that…

Galaxy clusters exhibit regular scaling relations among their bulk properties. These relations establish vital links between halo mass and cluster observables. Precision cosmology studies that depend on these links benefit from a better…

Astrophysics · Physics 2009-11-13 David A. Ventimiglia , G. Mark Voit , Megan Donahue , S. Ameglio

We analyse the structures of all the clusters in the DAFT/FADA survey for which XMM-Newton and/or a sufficient number of galaxy redshifts in the cluster range is available, with the aim of detecting substructures and evidence for merging…

Context. Galaxy clusters are the last and largest objects to form in the standard hierarchical structure formation scenario through merging of smaller systems. The substructure frequency in the past and present epoch provides excellent…

Cosmology and Nongalactic Astrophysics · Physics 2013-07-24 A. Weißmann , H. Böhringer , G. Chon

Up to now, the largest sample of galaxy clusters selected in X-rays comes from the ROSAT All-Sky Survey (RASS). Although there have been many interesting clusters discovered with the RASS data, the broad point spread function (PSF) of the…

Astrophysics of Galaxies · Physics 2019-06-12 M. E. Ramos-Ceja , F. Pacaud , T. H. Reiprich , K. Migkas , L. Lovisari , G. Schellenberger

(Abridged) We examine the X-ray luminosity scaling relations of 31 nearby galaxy clusters from the Representative XMM-Newton Cluster Structure Survey (REXCESS). The objects are selected in X-ray luminosity only, optimally sampling the…

Astrophysics · Physics 2014-09-19 G. W. Pratt , J. H. Croston , M. Arnaud , H. Boehringer

Using a set of ROSAT HRI deep pointings, we investigate the presence of small-scale structures in the central regions of clusters of galaxies. Our sample comprises 23 objects up to z=0.32, 13 of them known to host a cooling flow. Structures…

Astrophysics · Physics 2007-05-23 Marguerite Pierre , Jean-Luc Starck

Dynamically relaxed galaxy clusters have long played a role in galaxy cluster studies because it is thought their properties can be reconstructed more precisely and with less systematics. As relaxed clusters are desirable, there exist a…

Cosmology and Nongalactic Astrophysics · Physics 2025-12-09 Kaili Cao , David J. Barnes , Mark Vogelsberger

We present a detailed study of the morphological features of 22 rich galaxy clusters. We systematically compare cluster images and morphological parameters in an attempt to reliably identify possible substructure in both optical and X-ray…

We present XMM-Newton observations of a representative X-ray selected sample of 31 galaxy clusters at moderate redshift $(0.4<z<0.6)$, spanning the mass range $10^{14} < M_{\textrm 500} < 10^{15}$~M$_\odot$. This sample, EXCPRES (Evolution…

Cosmology and Nongalactic Astrophysics · Physics 2024-08-28 C. M. H. Chen , M. Arnaud , E. Pointecouteau , G. W. Pratt , A. Iqbal

The hierarchical model of structure formation is a key prediction of the Lambda cold dark matter model, which can be tested by studying the large-scale environment and the substructure content of massive galaxy clusters. We present here a…

Cosmology and Nongalactic Astrophysics · Physics 2017-05-24 G. Foëx , G. Chon , H. Böhringer

In the framework of the hierarchical model the intra-cluster medium properties of galaxy clusters are tightly linked to structure formation, which makes X-ray surveys well suited for cosmological studies. To constrain cosmological…

Cosmology and Nongalactic Astrophysics · Physics 2019-08-07 Florian Käfer , Alexis Finoguenov , Dominique Eckert , Jeremy S. Sanders , Thomas H. Reiprich , Kirpal Nandra
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