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
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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