Fitting a Gaussian Model to Aperture Synthesis Data by Akaike’s Information Criterion (AIC)

Abstract The problem of determining the optimum number of components in fitting a Gaussian model to aperture synthesis data is considered. As a measure of the badness of the fitted model, we propose the use of Akaike’s Information Criterion (AIC).