Application of nuclear data covariance matrices to representativity calculations

Federico Grimaldi; Patrick Blaise; Luca Fiorito; Anatoly Kochetkov; Antonin Krása; Pierre-Etienne Labeau; Pablo Romojaro; Gert Van den Eynde; Guido Vittiglio; Jan Wagemans

doi:10.1051/epjconf/202429405005

All issues

Volume 294 (2024)

EPJ Web of Conf., 294 (2024) 05005

Abstract

Open Access

Issue		EPJ Web of Conf. Volume 294, 2024 WONDER-2023 - 6^th International Workshop On Nuclear Data Evaluation for Reactor applications


Article Number		05005
Number of page(s)		7
Section		Uncertainties and Covariance Matrices
DOI		https://doi.org/10.1051/epjconf/202429405005
Published online		17 April 2024

EPJ Web of Conferences 294, 05005 (2024)
https://doi.org/10.1051/epjconf/202429405005

Application of nuclear data covariance matrices to representativity calculations

Federico Grimaldi¹^,2^*, Patrick Blaise³, Luca Fiorito¹, Anatoly Kochetkov¹, Antonin Krása¹, Pierre-Etienne Labeau², Pablo Romojaro¹, Gert Van den Eynde¹, Guido Vittiglio¹ and Jan Wagemans¹

¹ SCK CEN, Belgian nuclear research center, Boeretang 200, 2400 Mol, Belgium
² Université libre de Bruxelles, Avenue F.D. Roosevelt, 50, 1050 Bruxelles
³ CEA Saclay, DES/Scientific Division Energies F-91191 Gif-Sur-Yvette

^* e-mail: federico.grimaldi@sckcen.be

Published online: 17 April 2024

Abstract

The neutronics design of new reactors has been historically relying on zero power research reactors for the simulation of the core irradiation conditions as well as for nuclear data and code validation. In this framework, a study on the possible MYRRHA representativity improvement coming from the loading of MOX fuel in VENUS-F zero power reactor is under investigation. This work analyses the effect of the nuclear data used in the sensitivity and representativity calculations, highlighting the need for a comprehensive set of nuclides and reactions to be further studied.

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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