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Identification of unknown spent nuclear fuel with factor analysis for nuclear forensic purpose

机译:出于核法医学目的使用因子分析识别未知的乏核燃料

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The proposed study focuses on the development of multivariate statistical analysis to interpret the comparative signatures of spent nuclear fuel. A database was built with Uranium and Plutonium isotopic compositions of spent nuclear fuel samples through simulation. These samples are in different reactor types, initial fuel enrichments and burn-ups. As a preliminary study, factor analysis is applied to the database to certify the feasibility of the possible origin-determination work. At first, dimension reduction and visualization work is realized to decide the possibility for classification. Then, some known samples are assumed to be unknown to further study the possible capabilities for quantitative attribution, containing the determination of initial fuel enrichment and burn-up. (C) 2018 Elsevier Ltd. All rights reserved.
机译:拟议的研究集中于发展多元统计分析以解释乏核燃料的比较特征。通过模拟,建立了一个乏核燃料样品铀和P同位素组成的数据库。这些样品具有不同的反应堆类型,初始燃料富集和燃耗。作为一项初步研究,将因子分析应用于数据库,以证明可能的起源确定工作的可行性。首先,实现降维和可视化工作来确定分类的可能性。然后,假定一些未知样本未知,以进一步研究定量归因的可能能力,其中包括确定初始燃料富集和燃耗。 (C)2018 Elsevier Ltd.保留所有权利。

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