Nuclear data assimilation, scientific basis and current status

نویسندگان

چکیده

The use of Data Assimilation methodologies, known also as a data adjustment, liaises the results theoretical and experimental studies improving an accuracy simulation models giving confidence to designers regulation bodies. From mathematical point view, it approaches optimized fit revealing unknown causes by consequences that would be crucial for calibration validation. assimilation adds value in ND evaluation process, adjusting nuclear particular application providing so-called design-oriented library, calibrating involving IEs since all theories differential experiments provide only relative values, evidence-based background validation Nuclear libraries substantiating UQ process. Similarly, valorizes experiments, such them scientific turnover extracting essential information inherently contained legacy newly set up prioritizing dedicated basic programs. Given number popular algorithms, including deterministic like Generalized Linear Least Square methodology stochastic ones Backward Hierarchic or Total Monte-Carlo, etc., being different terms numerical formalism are, though, commonly grounded on Bayesian basis. They demonstrated sufficient maturity, backgrounds science-driven general-purpose wide range practical applications.

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ژورنال

عنوان ژورنال: EPJ Nuclear Sciences & Technologies

سال: 2021

ISSN: ['2491-9292']

DOI: https://doi.org/10.1051/epjn/2021008