| Autor: |
I. Hill, J.-Ch. Sublet, S. C. van der Marck, M. Pecchia, F. Michel-Sendis, Do Heon Kim, I. Kodeli, L. Fiorito, Raphaelle Ichou, A. Stankovskiy, Dimitri Rochman, F. Álvarez-Velarde, Elena Nunnenmann, Y. Peneliau, Ulrich Fischer, Oscar Cabellos, M. Fleming, Pierre Leconte, Axel Klix, C.J. Diez, J. Dyrda, Wim Haeck, A. J. M. Plompen, Pablo Romojaro, P. Tamagno, Massimo Angelone |
| Přispěvatelé: |
Angelone, M. |
| Jazyk: |
angličtina |
| Rok vydání: |
2017 |
| Předmět: |
|
| Zdroj: |
EPJ Web of Conferences, Vol 146, p 06004 (2017) |
| Popis: |
The challenge for any nuclear data evaluation project is to periodically release a revised, fully consistent and complete library, with all needed data and covariances, and ensure that it is robust and reliable for a variety of applications. Within an evaluation effort, benchmarking activities play an important role in validating proposed libraries. The Joint Evaluated Fission and Fusion (JEFF) Project aims to provide such a nuclear data library, and thus, requires a coherent and efficient benchmarking process. The aim of this paper is to present the activities carried out by the new JEFF Benchmarking and Validation Working Group, and to describe the role of the NEA Data Bank in this context. The paper will also review the status of preliminary benchmarking for the next JEFF-3.3 candidate cross-section files. © The Authors, published by EDP Sciences, 2017. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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