دورية أكاديمية

New features and improvements in the NEA nuclear data tool suite

التفاصيل البيبلوغرافية
العنوان: New features and improvements in the NEA nuclear data tool suite
المؤلفون: Fleming M., Hill I., Dyrda J., Fiorito L., Soppera N., Bossant M.
المصدر: EPJ Web of Conferences, Vol 239, p 19003 (2020)
بيانات النشر: EDP Sciences, 2020.
سنة النشر: 2020
المجموعة: LCC:Physics
مصطلحات موضوعية: Physics, QC1-999
الوصف: The OECD Nuclear Energy Agency (NEA) has developed and maintains several products that are used in the verification and validation of nuclear data, including the Java-based Nuclear Data Information System (JANIS) and the Nuclear Data Sensitivity Tool (NDaST). These integrate other collections of the NEA, including the International Handbooks of benchmark experiments on Criticality Safety and Reactor Physics (ICSBEP and IRPhEP) and their supporting relational databases (DICE and IDAT). Recent development of the JANIS, DICE and NDaST systems have resulted in the ability to perform uncertainty propagation utilising Legendre polynomial sensitivities, calculation of case-to-case covariances and correlations, use of spectrum weighting in perturbations, calculation of statistical results with suites of randomly sampled nuclear data files and new command-line interfaces to automate analyses and generate XML outputs. All of the most recent, major nuclear data libraries have been fully processed and incorporated, along with new visualisation features for covariances and sensitivities, an expanded set of reaction channel definitions, and new EXFOR data types defined by the NRDC. Optimisation of numerical methods has also improved performance, with over order-of-magnitude speed-up in the case of sensitivity-uncertainty calculations.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2100-014X
Relation: https://www.epj-conferences.org/articles/epjconf/pdf/2020/15/epjconf_nd2019_19003.pdf; https://doaj.org/toc/2100-014X
DOI: 10.1051/epjconf/202023919003
URL الوصول: https://doaj.org/article/e768bb119eab44b2872ced7f15ef8f4c
رقم الأكسشن: edsdoj.768bb119eab44b2872ced7f15ef8f4c
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:2100014X
DOI:10.1051/epjconf/202023919003