Efficient use of Bayes` equations for fitting neutron-induced cross section and integral data

Analysis of differential and integral neutron data requires the use of a fitting procedure such as Bayes` method, used in the analysis code SAMMY. In this paper, techniques for more efficient use of Bayes` method are described. A reformulation of Bayes` equations permits truly simultaneous fitting to multiple measurements without overhead costs required for calculating theoretical values simultaneously. Several techniques for properly including data covariances are also described.