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Ivanov E, De Saint-Jean C, Sobes V. Nuclear data assimilation, scientific basis and current status. EPJ NUCLEAR SCIENCES & TECHNOLOGIES 2021. [DOI: 10.1051/epjn/2021008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
Abstract
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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Leconte P, Antony M, Archier P, Bernard D, De Saint Jean C, Di Salvo J, Eschbach R, Geslot B, Gruel A, Tamagno P, Truchet G, Hudelot J. Validation of actinide nuclear data based on reactivity worth experiments in a MOX-LWR spectrum. ANN NUCL ENERGY 2020. [DOI: 10.1016/j.anucene.2019.107251] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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Peters NJ, Kutikkad K. Novel Methodologies for Modeling the Net Fission-Poison Reactivity Transients to Accurately Predict Criticals and Hot-Startup ECPs for the MURR Core. NUCL TECHNOL 2018. [DOI: 10.1080/00295450.2017.1398582] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
Affiliation(s)
- N. J. Peters
- University of Missouri, Columbia Research Reactor Facility, 1513 Research Park Drive, Columbia, Missouri 65211
| | - K. Kutikkad
- University of Missouri, Columbia Research Reactor Facility, 1513 Research Park Drive, Columbia, Missouri 65211
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Leconte P, Geslot B, Gruel A, Pépino A. Thermal neutron activation experiments on Ag, In, Cs, Eu, V, Mo, Zn, Sn and Zr in the MINERVE facility. EPJ WEB OF CONFERENCES 2016. [DOI: 10.1051/epjconf/201611107001] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
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