| Issue |
EPJ Web Conf.
Volume 146, 2017
ND 2016: International Conference on Nuclear Data for Science and Technology
|
|
|---|---|---|
| Article Number | 09023 | |
| Number of page(s) | 4 | |
| Section | Nuclear Data for Applications | |
| DOI | https://doi.org/10.1051/epjconf/201714609023 | |
| Published online | 13 September 2017 | |
https://doi.org/10.1051/epjconf/201714609023
Fission yield covariances for JEFF: A Bayesian Monte Carlo method
1 Paul Scherrer Institut, 5232 Villigen, Switzerland
2 United Kingdom Atomic Energy Authority, Abingdon, UK
3 Nuclear Data Section, IAEA, Vienna, Austria
4 University of Uppsala, Sweden
a e-mail: olivier.leray@psi.ch
Published online: 13 September 2017
The JEFF library does not contain fission yield covariances, but simply best estimates and uncertainties. This situation is not unique as all libraries are facing this deficiency, firstly due to the lack of a defined format. An alternative approach is to provide a set of random fission yields, themselves reflecting covariance information. In this work, these random files are obtained combining the information from the JEFF library (fission yields and uncertainties) and the theoretical knowledge from the GEF code. Examples of this method are presented for the main actinides together with their impacts on simple burn-up and decay heat calculations.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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