| Issue |
EPJ Web of Conf.
Volume 294, 2024
WONDER-2023 - 6th International Workshop On Nuclear Data Evaluation for Reactor applications
|
|
|---|---|---|
| Article Number | 04005 | |
| Number of page(s) | 7 | |
| Section | Evaluation of Nuclear Data | |
| DOI | https://doi.org/10.1051/epjconf/202429404005 | |
| Published online | 17 April 2024 | |
https://doi.org/10.1051/epjconf/202429404005
A Nuclear Data Evaluation Pipeline for the Fast Neutron Energy Range – using heteroscedastic Gaussian processes to treat model defects
Department of Physics and Astronomy, Uppsala University, Uppsala, Sweden
* e-mail: alf.gook@physics.uu.se
Published online: 17 April 2024
In this paper, we discuss the development of a nuclear data evaluation pipeline, based around the TALYS code system. The pipeline focuses on the evaluation of the fast neutron energy range, above the resolved resonances. A strong focus in development lies on automation and reproducibility, as well as the efficient use of large-scale computational infrastructure, to enable rapid testing of new algorithms and modified assumptions. Several novel concepts for nuclear data evaluation methodology are implemented. A particular problem in evaluating the neutron-induced reaction cross-section using TALYS, relates to the intermediate energy range. While TALYS only predicts the smooth energy-averaged cross-section, experiments reveal unresolved resonance-like structures. In this paper, we explore ways to treat this type of model defect using heteroscedastic Gaussian processes to automatically determine the distribution of experimental data around an energy-averaged cross-section curve.
© The Authors, published by EDP Sciences, 2024
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