Nuclear data correlation between different isotopes via integral information

Dimitri Rochman 1, * Eric Baugé 2 Alexander Vasiliev 1 Hakim Ferroukhi 1 Gregory Perret 1
* Corresponding author
1 PSI - Paul Scherrer Institute
2 DAM/DIF - DAM Île-de-France
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, , fission neutron spectra and covariance matrices) are obtained, leading to better integral results. An example for 235U and 238U is proposed taking into account the Bigten criticality benchmark.
Document type :
Journal articles
Complete list of metadatas
https://hal-cea.archives-ouvertes.fr/cea-01794006
Contributor : Marianne Leriche <>
Submitted on : Thursday, May 17, 2018 - 10:51:02 AM
Last modification on : Wednesday, December 12, 2018 - 4:06:04 PM

Links full text

openaccess

Identifiers

Collections

CEA | DAM

Citation

Dimitri Rochman, Eric Baugé, Alexander Vasiliev, Hakim Ferroukhi, Gregory Perret. Nuclear data correlation between different isotopes via integral information. EPJ N - Nuclear Sciences & Technologies, EDP Sciences, 2018, 4, pp.7. ⟨10.1051/epjn/2018006⟩. ⟨cea-01794006⟩

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Record views

32

Contact

support.ccsd.cnrs.fr
hal.support@ccsd.cnrs.fr
Logo CCSD