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Evaluating Embedded Monte Carlo vs. Total Monte Carlo for Nuclear Data Uncertainty Quantification

The purpose of this paper is to compare a new method called Embedded Monte Carlo (EMC) to the well-known Total Monte Carlo (TMC) method for nuclear data uncertainty propagation. Indeed, the TMC methodology is based on the use of a large number of random samples of nuclear data libraries and performi...

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Autors principals: Biot Grégoire, Rochman Dimitri, Ducru Pablo, Forget Benoit
Format: Artigo
Idioma:Inglês
Publicat: EDP Sciences 2024-01-01
Col·lecció:EPJ Web of Conferences
Accés en línia:https://www.epj-conferences.org/articles/epjconf/pdf/2024/12/epjconf_snamc2024_07016.pdf
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