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Journal articles
Nuclear data correlation between different isotopes via integral information
Abstract : This paper presents a Bayesian approach based on integral experiments to create correlations between different isotopes which do not appear with differential data. A simple Bayesian set of equations is presented with random nuclear data, similarly to the usual methods applied with differential data. As a consequence, updated nuclear data (cross sections, $\bar \nu$, fission neutron spectra and covariance matrices) are obtained, leading to better integral results. An example for $^{235}$U and $^{238}$U is proposed taking into account the Bigten criticality benchmark.
Cited literature [30 references]
https://hal-cea.archives-ouvertes.fr/cea-01794006
Contributor : Marianne Leriche <>
Submitted on : Wednesday, October 2, 2019 - 10:52:26 AM
Last modification on : Wednesday, October 2, 2019 - 11:01:56 AM
Contributor : Marianne Leriche <>
Submitted on : Wednesday, October 2, 2019 - 10:52:26 AM
Last modification on : Wednesday, October 2, 2019 - 11:01:56 AM
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