Nuclear data adjustment using Bayesian inference, diagnostics for model fit and influence of model parameters
The mathematical models used for nuclear data evaluations contain a large number of theoretical parameters that are usually uncertain. These parameters can be calibrated (or improved) by the information collected from integral/differential experiments. The Bayesian inference technique is used to uti...
Main Authors: | , , , , |
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Format: | Article |
Language: | English |
Published: |
EDP Sciences
2020-01-01
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Series: | EPJ Web of Conferences |
Online Access: | https://www.epj-conferences.org/articles/epjconf/pdf/2020/15/epjconf_nd2019_13003.pdf |