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A novel sophisticated technique for data reduction utilising Bayesian statistics and a genetic algorithm has been developed by the authors. The technique gives superior signal recovery in poor signal-to-noise ratio conditions compared to simple linear least-squares methods. In this paper, the method is discussed along with a detailed case study: the Thomson scattering diagnostic of a magnetically confined plasma.
|Glasgow Author(s) Enlighten ID:||Millar, Dr Alexander and Diver, Dr Declan|
|Authors:||Millar, A.P., McDonald, D.C., and Diver, D.A.|
|Subjects:||Q Science > QC Physics|
|College/School:||College of Science and Engineering > School of Physics and Astronomy|
|Journal Name:||Plasma Physics and Controlled Fusion|
|Publisher:||Institute of Physics Publishing Ltd.|