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Validation of the Fast-Neutron Multiplicity Expressions for Fissile Mass Estimation

机译:快中子多样性估计的易裂变质量估计的验证

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Neutron multiplicity analysis is a non-destructive assay technique that involves detection of the multiplets of neutrons emitted by an unknown sample to estimate its fissile mass. Typically, multiplicity analysis is conducted by means of a neutron multiplicity counting (NMC) system that uses capture-based thermal detectors (e.g. ~3He-gas detectors). To relieve the reliance on such detectors, we have developed a fast-neutron multiplicity counting (FNMC) system that uses scatter-based, organic scintillators to directly detect the fast fission neutrons emitted from the sample. FNMC systems, however, are prone to effects of neutron cross-talk, where a single neutron may cause more than one count. This leads to an overestimate of the fission rate (F) and inaccurate estimation of other sample parameters such as the leakage multiplication (Ml) and the alpha-ratio (a) when using the traditional capture-based NMC equations. We have formulated fully-generalized multiplicity expressions that account for cross-talk effects for any arbitrary order N and these expressions were verified with MCNPX-PoliMi simulations. This paper will present validation of the proposed generalized multiplicity expressions with experimental data. Pu metal plates were measured using the FNMC system and the data was used for neutron multiplicity analysis to estimate sample parameters F, Ml, and a. We demonstrate that accounting for neutron cross-talk effects of order N = 2 improves the accuracy of the estimated sample parameters.
机译:中子多重性分析是一种非破坏性测定技术,涉及检测未知样品发出的中子的多重态,以估计其易裂变质量。通常,多重性分析是通过中子多重性计数(NMC)系统进行的,该系统使用基于捕获的热探测器(例如〜3He-气体探测器)。为了减轻对此类探测器的依赖,我们开发了一种快速中子多重计数(FNMC)系统,该系统使用基于散射的有机闪烁体直接检测从样品中发出的快速裂变中子。但是,FNMC系统容易受到中子串扰的影响,其中单个中子可能会引起一个以上的计数。当使用传统的基于捕获的NMC方程时,这会导致裂变率(F)的高估,以及其他样本参数(例如泄漏倍增(M1)和alpha比率(a))的不准确估计。我们制定了完全通用的多重性表达式,说明了任意N阶的串扰效应,这些表达式已通过MCNPX-PoliMi模拟进行了验证。本文将通过实验数据对所提出的广义多重性表达式进行验证。使用FNMC系统测量Pu金属板,并将该数据用于中子多重性分析,以估计样品参数F,M1和a。我们证明,考虑N = 2阶的中子串扰效应可以提高估计的样本参数的准确性。

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