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Tomographic gamma scanning has been used to assay special nuclear material for the past several years. Field experience suggests that the data analysis techniques can significantly affect the assay uncertainty. For example, a positive bias has been observed for low-activity samples. Recent attempts to reduce the bias without unacceptable increase in variance have taken a non-Bayesian approach. This paper will compare some of these non-Bayesian approaches to a Bayesian approach which is a modification of an approach used in photon emission computed tomography. The Bayesian approach is both more computationally demanding and more satisfying, though the choice of the prior probability for the distribution of nuclear material can impact the analysis. Assay results for scaled-down versions of the full-dimensioned problem will be presented for several methods and cases

Comparison of Bayesian and classical reconstructions of tomographic gamma scanning for assay of nuclear materials