The XMM Cluster Survey : X-ray analysis methodology

Lloyd-Davies, E. J. and Romer, A. Kathy and Mehrtens, Nicola and Hosmer, Mark and Davidson, Michael and Sabirli, Kivanc and Mann, Robert G. and Hilton, Matt and Liddle, Andrew R. and Viana, Pedro T P and Campbell, Heather C. and Collins, Chris A. and Dubois, E. Naomi and Freeman, Peter and Harrison, Craig D. and Hoyle, Ben and Kay, Scott T. and Kuwertz, Emma and Miller, Christopher J. and Nichol, Robert C. and Sahlén, Martin and Stanford, S. A. and Stott, John P. (2011) The XMM Cluster Survey : X-ray analysis methodology. Monthly Notices of the Royal Astronomical Society, 418 (1). pp. 14-53. ISSN 0035-8711

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Abstract

The XMM Cluster Survey (XCS) is a serendipitous search for galaxy clusters using all publicly available data in the XMM-Newton Science Archive. Its main aims are to measure cosmological parameters and trace the evolution of X-ray scaling relations. In this paper we describe the data processing methodology applied to the 5776XMM observations used to construct the current XCS source catalogue. A total of 3675 > 4σ cluster candidates with >50 background-subtracted X-ray counts are extracted from a total non-overlapping area suitable for cluster searching of 410deg2. Of these, 993 candidates are detected with >300 background-subtracted X-ray photon counts, and we demonstrate that robust temperature measurements can be obtained down to this count limit. We describe in detail the automated pipelines used to perform the spectral and surface brightness fitting for these candidates, as well as to estimate redshifts from the X-ray data alone. A total of 587 (122) X-ray temperatures to a typical accuracy of

Item Type:
Journal Article
Journal or Publication Title:
Monthly Notices of the Royal Astronomical Society
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1900/1912
Subjects:
?? cosmology: observationsgalaxies: clusters: intracluster mediumsurveysx-rays: galaxies: clustersspace and planetary scienceastronomy and astrophysics ??
ID Code:
84037
Deposited By:
Deposited On:
17 Jan 2017 14:26
Refereed?:
Yes
Published?:
Published
Last Modified:
17 Sep 2024 09:48