Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.554888
Title: The XMM Cluster Survey : a new cluster candidate sample and detailed selection function
Author: Hosmer, Mark A.
Awarding Body: University of Sussex
Current Institution: University of Sussex
Date of Award: 2010
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Abstract:
In this thesis we present the XCS DR3 cluster candidate list. This represents the first major update of the XMM Cluster Survey since 2005. The candidate list comprises of 1365 entries with more than 300 detected counts distributed over 229 deg2. We note that a larger area (523 deg2) is available for the study of X-ray point sources and that the new XCS point source sample has more than 130,000 entries. After redshift follow-up and X-ray spectral analysis, these 1365 clusters will comprise the largest homogeneous sample of medium to high redshift X-ray clusters ever compiled. The future science applications of the XCS DR3 clusters include the study of the evolution of X-ray scaling relations and a measurement of cosmological parameters. In support of these science applications, we also present in this thesis detailed selection functions for the XCS. These selection functions allow us to quantify the number of clusters we didn't detect in our survey regions. We have taken two approaches to the determination of the selection function: the use of simple (circular & isothermal) β models and the use of ‘observations' of synthetic clusters from the CLEF N-body simulation. The β model work has allowed us to explore how the selection function depends on key cluster parameters such as luminosity, temperature, redshift, core size and profile shape. We have further explored how the selection function depends on the underlying cosmological model and applied our results to XCS cosmology forecasting (Sahlen et al. 2009). The CLEF work has allowed us to explore more complex cluster properties, such as core temperature, core shape, substructure and ellipticity. In summary, the combination of the cluster catalogues and selection functions presented herein will facilitate field leading science applications for many years to come.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.554888  DOI: Not available
Keywords: QB Astronomy ; QC Physics
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