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EVALUATING THE DEPENDENCE OF GAMMA-ASSAY RESULTS ON SOURCE AND MATRIX DISTRIBUTIONS

机译:评估伽玛分析结果对源和矩阵分布的依赖性

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Quantitative high resolution gamma-ray spectroscopy is extensively deployed to nondestructively characterize waste containers. Traditionally the assay result is reported as if the activity is uniformly distributed within the matrix and assumes the matrix is homogeneous and fills the container. Deviations form these conditions result in a bias which is traditionally allowed for in an ad hoc fashion by expanding the total measurement uncertainty reported. Detailed experimental study is tedious and hampered by practical problems such as the production of a large number of test cases. For this reason we have elected to use the Monte Carlo technique to investigate some salient aspects of the problem so that a better treatment might be formulated. In this work we concentrate on the measurement of the standard waste box (SWB) in a standard gamma box counter configuration. We explore the impact of non-uniform source distribution, matrix fill height and matrix inhomogeneity by running a large number of scenarios. We show how the reported uncertainty may be reduced when there is reason to believe multiple hot spots are present.
机译:高分辨率高分辨率伽马射线光谱仪被广泛地用于废物容器的非破坏性表征。传统上,将检测结果报告为活性似乎均匀地分布在基质中,并假定基质是均匀的并充满了容器。这些条件之间的偏差会导致偏差,传统上可以通过扩大报告的总测量不确定度以临时方式允许偏差。详细的实验研究很繁琐,并且受实际问题(例如产生大量测试用例)的阻碍。因此,我们选择使用蒙特卡洛技术来研究问题的一些重要方面,以便可以制定更好的解决方案。 在这项工作中,我们专注于在标准伽玛箱计数器配置中测量标准垃圾箱(SWB)。通过运行大量场景,我们探索了非均匀源分布,矩阵填充高度和矩阵不均匀性的影响。我们展示了当有理由相信存在多个热点时,如何减少所报告的不确定性。

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