Use this URL to cite or link to this record in EThOS:
Title: Galaxy cluster science with Chandra
Author: Logan, Crispin H. A.
ISNI:       0000 0004 9347 1783
Awarding Body: University of Bristol
Current Institution: University of Bristol
Date of Award: 2020
Availability of Full Text:
Access from EThOS:
Access from Institution:
Galaxy clusters are the largest gravitationally bound structures in our Universe, and hence can be used to constrain the physical laws that govern cosmic evolution. In order to use clusters as cosmological probes, large samples of bona-fide clusters are needed, in addition to a method with which to estimate cluster masses accurately. Additionally, clusters can be studied to understand the physical processes within the clusters themselves. As clusters form via hierarchical growth, growing ever larger through mergers with smaller systems and accretion of matter from the surrounding environment, understanding the physical processes in the outer regions of a cluster can tell us more about how they grow. The first project in my PhD tackled the issue of constructing reliable samples of clusters for cosmology, specifically analysing Chandra observations of high redshift cluster candidates detected in the XXL survey, to probe not only their AGN contamination, but also to ensure that they were indeed genuine clusters. The second project in my PhD focussed on the calibration of the X-ray hydrostatic cluster mass estimation method, by comparing the X-ray hydrostatic masses of a sample of 44 clusters with masses for the same sample of clusters measured with an entirely independent method based on information on galaxy dynamics obtained from optical observations. The final project in my PhD used the same sample of clusters as the mass calibration work to study the outer regions of clusters, specifically calculating the gas fraction at large radii of these clusters, to gain insight into the state of the cluster gas in the cluster outskirts.
Supervisor: Bremer, Malcolm ; Maughan, Ben Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available
Keywords: galaxy clusters