DOE OSTI · 3003152
A New Probability Table Methodology with Covariances on Probability Tables
Abstract
Through this work, we test a new methodology of evaluating probability tables informed by a combination of physics models and experimental data. This methodology uses generalized least squares to produce a joint mean and covariance for average cross sections and probability tables. This methodology has been tested and validated using total Monte Carlo. Attempts were made to parameterize the probability table using a formulation provided in. Although the normal inverse Gaussian fit was successful for the total cross section probability distribution, the rational-function fit to the capture, inelastic, and fission cross sections was unsuccessful due to time constraints.
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Fritsch, William Nicholas [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)], Neudecker, Denise [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)] (ORCID:0000000339200627), Walton, Noah Anthony Wy [Los Alamos National Laboratory (LANL), Los Alamos, NM (United States)] (ORCID:0000000296530000). 2025-10-01. A New Probability Table Methodology with Covariances on Probability Tables. https://doi.org/10.2172/3003152
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