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Blind and pointed Sunyaev-Zel'dovich observations with the Arcminute Microkelvin Imager 10.17863/CAM.16580 Shimwell, Timothy William In this thesis I discuss my work on the Arcminute Microkelvin Imager (AMI). I focus on the detection of Sunyaev-Zel’dovich (SZ) signatures at 14-18GHz. Once the background science and operation of the instrument are described I proceed to present my contribution to the calibration of AMI, including: primary beam measurements; refinements to the known antenna geometry and flagging geostationary satellite interference. This is followed by an outline of the software that I have developed to subtract sources from visibilities, concatenate data from multiple observations, simulate data, and perform jack-knife tests to evaluate the magnitude of systematic errors. The Bayesian analysis that I use to obtain parameter estimates and to quantify the significance of putative SZ detections is described. I perform realistic simulations of clusters and use these to characterise the analysis. I then, for the first time, apply the analysis to data from the AMI blind cluster survey. I identify several previously unknown SZ decrements. Finally, I conduct pointed observations towards a high luminosity subsample of eight clusters from the Local Cluster Substructure Survey (LoCuSS). For each of these I provide probability distributions of parameters such as mass, radius, and temperature. I compare my results to those in the literature and find an overall agreement. University of Cambridge 2011-11-08 Thesis Doctoral Doctor of Philosophy (PhD) eng http://www.dspace.cam.ac.uk/handle/1810/241039 https://www.repository.cam.ac.uk/handle/1810/241039 https://apollo8-f-pro.lib.cam.ac.uk/bitstreams/b1d449dc-5013-4c49-9672-80108e0a4409/download 96f8c58b27aed6a9af5f374f42c41bb2 https://apollo8-f-pro.lib.cam.ac.uk/bitstreams/26b2e9aa-ce44-4906-8b8d-03527ce2d29c/download 0b1a12d4eb169023d6d65183e2d7aac9 https://www.rioxx.net/licenses/all-rights-reserved/ Observationjal cosmology Interferometry