核资料同化、科学依据及现状

IF 0.9 Q3 NUCLEAR SCIENCE & TECHNOLOGY EPJ Nuclear Sciences & Technologies Pub Date : 2021-01-01 DOI:10.1051/EPJN/2021008
E. Ivanov, Cyrille De Saint-Jean, V. Sobes
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引用次数: 1

摘要

数据同化方法的使用,也称为数据调整,将理论和实验研究的结果联系起来,提高了模拟模型的准确性,并给设计者和监管机构带来了信心。从数学的角度来看,它接近于实验数据的优化拟合,通过已知的结果揭示未知的原因,这对数据校准和验证至关重要。数据同化在ND评估过程中增加了价值,根据特定应用调整核数据,提供所谓的优化设计导向库,校准涉及IEs的核数据,因为所有理论和差异实验都提供了唯一的相对值,并为证实UQ过程的核数据库的验证提供了循证背景。同样,它对实验数据和实验进行评估,从而使它们参与科学周转,提取遗留和新建立的实验中固有的基本信息,并优先考虑专门的基础实验计划。鉴于许多流行的算法,包括确定性的,如广义线性最小二乘方法和随机的,如向后和层次或总蒙特卡罗,层次蒙特卡罗等,在特定的数值形式方面不同,但是,通常以贝叶斯理论为基础。它们展示了足够的成熟度,为在广泛的实际应用中科学驱动的通用库验证提供了优化的面向设计的数据库或基于证据的背景。
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Nuclear data assimilation, scientific basis and current status
The use of Data Assimilation methodologies, known also as a data adjustment, liaises the results of theoretical and experimental studies improving an accuracy of simulation models and giving a confidence to designers and regulation bodies. From the mathematical point of view, it approaches an optimized fit to experimental data revealing unknown causes by known consequences that would be crucial for data calibration and validation. Data assimilation adds value in a ND evaluation process, adjusting nuclear data to particular application providing so-called optimized design-oriented library, calibrating nuclear data involving IEs since all theories and differential experiments provide the only relative values, and providing an evidence-based background for validation of Nuclear data libraries substantiating the UQ process. Similarly, it valorizes experimental data and the experiments, as such involving them in a scientific turnover extracting essential information inherently contained in legacy and newly set up experiments, and prioritizing dedicated basic experimental programs. Given that a number of popular algorithms, including deterministic like Generalized Linear Least Square methodology and stochastic ones like Backward and Hierarchic or Total Monte-Carlo, Hierarchic Monte-Carlo, etc., being different in terms of particular numerical formalism are, though, commonly grounded on the Bayesian theoretical basis. They demonstrated sufficient maturity, providing optimized design-oriented data libraries or evidence-based backgrounds for a science-driven validation of general-purpose libraries in a wide range of practical applications.
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来源期刊
EPJ Nuclear Sciences & Technologies
EPJ Nuclear Sciences & Technologies NUCLEAR SCIENCE & TECHNOLOGY-
CiteScore
1.00
自引率
20.00%
发文量
18
审稿时长
10 weeks
期刊最新文献
Technical note: stable and unstable reactors Templates of expected measurement uncertainties for neutron-induced capture and charged-particle production cross section observables Templates of expected measurement uncertainties for (n, xn) cross sections Templates of expected measurement uncertainties for total neutron cross-section observables Templates of expected measurement uncertainties for prompt fission neutron spectra
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