Nuclear data correlation between different isotopes via integral information

Dimitri Rochman (1) , Eric Baugé (2) , Alexander Vasiliev (1) , Hakim Ferroukhi (1) , Gregory Perret (1)

1 PSI - Paul Scherrer Institute
2 DAM/DIF - DAM Île-de-France

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.

Domaines: Physique Nucléaire Expérimentale [nucl-ex]

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