首页> 外文期刊>Journal of Radioanalytical and Nuclear Chemistry: An International Journal Dealing with All Aspects and Applications of Nuclear Chemistry >Performance evaluation of spectral deconvolution analysis tool (SDAT) software used for nuclear explosion radionuclide measurements
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Performance evaluation of spectral deconvolution analysis tool (SDAT) software used for nuclear explosion radionuclide measurements

机译:用于核爆炸放射性核素测量的频谱解卷积分析工具(SDAT)软件的性能评估

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摘要

The Spectral Deconvolution Analysis Tool (SDAT) software was developed to improve counting statistics and detection limits for nuclear explosion radionuclide measurements. SDAT utilizes spectral deconvolution spectroscopy techniques and can analyze both beta-gamma coincidence spectra for radioxenon isotopes and high-resolution HPGe spectra from aerosol monitors. Spectral deconvolution spectroscopy is an analysis method that utilizes the entire signal deposited in a gamma-ray detector rather than the small portion of the signal that is present in one gamma-ray peak. This method shows promise to improve detection limits over classical gamma-ray spectroscopy analytical techniques; however, this hypothesis has not been tested. To address this issue, we performed three tests to compare the detection ability and variance of SDAT results to those of commercial-off-the-shelf (COTS) software which utilizes a standard peak search algorithm.
机译:开发了光谱去卷积分析工具(SDAT)软件,以改善计数统计数据和核爆炸放射性核素测量的检测极限。 SDAT利用光谱解卷积光谱技术,可以分析放射性氙同位素的β-γ重合光谱和来自气溶胶监测仪的高分辨率HPGe光谱。光谱去卷积光谱法是一种分析方法,它利用沉积在伽马射线探测器中的整个信号,而不是一个伽马射线峰中存在的信号的一小部分。该方法显示出有望通过经典的伽马射线光谱分析技术提高检测限。但是,这一假设尚未得到检验。为了解决这个问题,我们进行了三项测试,以比较SDAT结果的检测能力和方差与采用标准峰搜索算法的商用(COTS)软件的检测能力和方差。

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