A novel sophisticated technique for data reduction utilising Bayesian stati
stics and a genetic algorithm has been developed by the authors. The techni
que 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 diag
nostic of a magnetically confined plasma.