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Sensitivity analysis of isotopic calculation software with experimental spectrums computer-generated

机译:用计算机生成的实验光谱对同位素计算软件的敏感性分析

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Quantification of nuclear material is an essential step in the supervision of nuclear waste. It can be performed by gamma spectrometry linked with a determination of isotopic ratios. For this, the Atomic Energy Commission (CEA) uses the MGA (Multiple Group Analysis) software as calculation instrument. However, this tool has a range of validity which is unknown by the user. To set this issue, a sensitivity analysis of MGA was undertaken. Nevertheless, analysis first requires the supply of well-known spectra with specific parameters which the impact on the MGA results is sought. The required number of experimental spectra being large and complex, a software, ACES (Automated Creation of Experimental Spectra), was created to compute experimental data with parameters entered by user. Based on these, the sensitivity analysis of MGA has been conducted according to an experimental plan where the influence of three factors (efficiency detection, signal-to-noise ratio and abundance of actinides) may have been studied. This paper presents the first results and the involvement in the use of MGA.
机译:核材料的量化是核废料监管中必不可少的步骤。可以通过与确定同位素比值相关的伽马能谱法进行分析。为此,原子能委员会(CEA)使用MGA(多组分析)软件作为计算工具。但是,此工具具有用户不知道的有效范围。为了解决这个问题,对MGA进行了敏感性分析。但是,分析首先需要提供具有特定参数的众所周知的光谱,以寻求对MGA结果的影响。所需的实验光谱数量庞大而又复杂,因此创建了ACES(自动创建实验光谱)软件来计算具有用户输入参数的实验数据。基于这些,根据实验计划对MGA进行了敏感性分析,其中可能研究了三个因素(效率检测,信噪比和act系元素的丰度)的影响。本文介绍了第一个结果以及MGA的使用。

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