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The Multi-Isotope Process Monitor: Multivariate Analysis of Gamma Spectra

机译:多同位素过程监测:伽马光谱的多变量分析

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The International Atomic Energy Agency (IAEA) has established international safeguards standards for fissionable material at spent fuel reprocessing plants to ensure that significant quantities of nuclear material are not diverted from these facilities. Currently, methods to verify material control and accountancy (MC&A) at these facilities require time-consuming and resource-intensive destructive assay (DA). The time delay between sampling and subsequent DA provides a potential opportunity to divert the material out of the appropriate chemical stream. Leveraging new on-line nondestructive assay (NDA) techniques in conjunction with the traditional and highly precise DA methods may provide a more timely, cost-effective and resource efficient means for MC&A verification at such facilities. Pacific Northwest National Laboratory (PNNL) is developing on-line NDA process monitoring technologies, including the Multi-Isotope Process (MIP) Monitor. The MEP Monitor uses gamma spectroscopy and pattern recognition software to identify off-normal conditions in process streams. Recent efforts have been made to explore the basic limits of using multivariate analysis techniques on gamma-ray spectra. This paper will provide an overview of the methods and report our on-going efforts to develop and demonstrate the technology.
机译:国际原子能机构(原子能机构)在花费燃料再加工厂的可裂变材料制定了国际保障标准,以确保大量核材料不会从这些设施转移。目前,验证这些设施的材料控制和会计(MC&A)的方法需要耗时和资源密集的破坏性测定(DA)。取样和随后DA之间的时间延迟提供了将材料转移出适当的化学物流的潜在机会。利用新的在线非破坏性测定(NDA)技术与传统和高精度的DA方法一起提供更及时,成本效益和资源有效的MC和验证在此类设施中的验证。太平洋西北国家实验室(PNNL)正在开发在线NDA流程监测技术,包括多同位素过程(MIP)监测器。 MEP监视器使用伽马光谱和图案识别软件来识别过程流中的离法条件。最近努力探讨在伽马射线光谱上使用多变量分析技术的基本限制。本文将概述该方法,并报告我们的持续开发和展示技术的努力。

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