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DOE OSTI · 1777340

Thoughts on Analyzing Neutron Multiplicity Data

Walston, S
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Abstract

Bayesian methods offer many advantages for analyzing neutron multiplicity data. Ideally one would make nonparametric estimates of the the posterior distributions, the probabilities - given the data - for unknowns to take on particular values. Once one has the posterior, uncertainty quantification is very natural. We describe how different ways of formulating the statistical theory of fission chains are mathematically equivalent. When confronted with actual data and the burden of finite statistics, different methods of expressing the theory offer advantages for understanding the underlying source parameters from an information theory standpoint.

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73 NUCLEAR PHYSICS AND RADIATION PHYSICS

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BibTeXRIS

Walston, S. 2020-01-28. Thoughts on Analyzing Neutron Multiplicity Data. https://doi.org/10.2172/1777340

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