| Issue |
EPJ Nuclear Sci. Technol.
Volume 4, 2018
|
|
|---|---|---|
| Article Number | 7 | |
| Number of page(s) | 10 | |
| DOI | https://doi.org/10.1051/epjn/2018006 | |
| Published online | 15 May 2018 | |
https://doi.org/10.1051/epjn/2018006
Regular Article
Nuclear data correlation between different isotopes via integral information
1
Laboratory for Reactor Physics Systems Behaviour, Paul Scherrer Institut,
Villigen, Switzerland
2
CEA, DAM, DIF,
91297
Arpajon Cedex, France
* e-mail: dimitri-alexandre.rochman@psi.ch
Received:
15
September
2017
Received in final form:
24
January
2018
Accepted:
19
March
2018
Published online: 15 May 2018
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.
© D.A. Rochman et al., published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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