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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| Hlavní autoři: | , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
EDP Sciences
2024-01-01
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| Edice: | EPJ Web of Conferences |
| On-line přístup: | https://www.epj-conferences.org/articles/epjconf/pdf/2024/12/epjconf_snamc2024_07016.pdf |
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