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Nuclear data correlation between different isotopes via integral information
oleh: Rochman Dimitri A., Bauge Eric, Vasiliev Alexander, Ferroukhi Hakim, Perret Gregory
Format: | Article |
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Diterbitkan: | EDP Sciences 2018-01-01 |
Deskripsi
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, ν‾ , 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.