EPJ Web Conf.
Volume 239, 2020ND 2019: International Conference on Nuclear Data for Science and Technology
|Number of page(s)||6|
|Section||Nuclear Data in Reactor Physics and Operations|
|Published online||30 September 2020|
Assessment of representativity of the PETALE experiments for validation of Swiss LWRs ex-core dosimetry calculations
1 Laboratory for Reactor Physics and Thermal-Hydraulics (LRT), Paul Scherrer Institute (PSI), Forschungsstrasse 111, 5232 Villigen, Switzerland
2 Laboratory for Reactor Physics and Systems Behaviour (LRS), École Polytechnique Fédérale de Lausanne (EPFL), 1015 Lausanne, Switzerland
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Published online: 30 September 2020
The international experimental program PETALE will be carried out at the CROCUS research reactor of EPFL. The program aims at measuring neutron penetration in slabs made of materials composing typical LWR reactor pressure vessel. The measurements will be used for code and nuclear data validation and for the evaluation of the reflecting properties of these materials. In this paper the representativity of the PETALE experiments is assessed with respect to operational LWR reactors dosimetry and activation evaluations using the Paul Scherrer Institute (PSI) in-house tool NUSS. The NUSS tool allows the stochastic sampling of nuclear data using covariance matrices available in modern nuclear data libraries and the subsequent running of a Monte Carlo code with the modified data files. The representativity can then be assessed based on the Pearson correlation coefficients. The ultimate goal of the work is first of all to assess if the planned PETALE measurements could be applicable beyond their primary purpose and serve for extending the PSI validation database for LWR reactor dosimetry evaluations. Secondly, provided that the PETALE measurements are found useful for the task above, the information on the correlations between the PETALE neutron detectors’ responses and the reactor dosimetry quantities of interest, shall be presented and discussed.
© The Authors, published by EDP Sciences, 2020
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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