| Issue |
EPJ Web of Conferences
Volume 111, 2016
WONDER-2015 – 4th International Workshop On Nuclear Data Evaluation for Reactor applications
|
|
|---|---|---|
| Article Number | 09001 | |
| Number of page(s) | 6 | |
| Section | Uncertainties and Covariance Matrices | |
| DOI | https://doi.org/10.1051/epjconf/201611109001 | |
| Published online | 15 March 2016 | |
https://doi.org/10.1051/epjconf/201611109001
Differential Cross Sections and the Impact of Model Defects in Nuclear Data Evaluation
1 Atominstitut, TU Wien, Wiedner Hauptstrasse 8–10, 1040 Vienna, Austria
2 CEA, Saclay, Irfu/SPhN, Gif-sur-Yvette, France
a e-mail: georg.schnabel@cea.fr
b Corresponding author: e-mail: leeb@kph.tuwien.ac.at
Published online: 15 March 2016
A statistically consistent method for the inclusion of the so-called model defects into Bayesian evaluation methods based on extensive modeling is presented. The method uses Gaussian processes to define a-priori probability distributions for possible model defects. The inclusion is of particular importance for the proper evaluation of differential data, i.e. angle-differential cross sections and spectra of ejectiles. The method is successfully applied to a simple realistic example which clearly shows the impact of model defects in a simultaneous evaluation of angle-differential and angle-integrated cross sections.
© Owned by the authors, published by EDP Sciences, 2016
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