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Covariance analysis of gamma ray spectra

机译:γ射线光谱的协方差分析

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摘要

The covariance method exploits fluctuations in signals to recover information encoded in correlations which are usually lost when signal averaging occurs. In nuclear spectroscopy it can be regarded as a generalization of the coincidence technique. The method can be used to extract signal from uncorrelated noise, to separate overlapping spectral peaks, to identify escape peaks, to reconstruct spectra from Compton continua, and to generate secondary spectral fingerprints. We discuss a few statistical considerations of the covariance method and present experimental examples of its use in gamma spectroscopy.
机译:协方差方法利用信号的波动来恢复以相关性编码的信息,这些信息在发生信号平均时通常会丢失。在核光谱学中,可以将其视为巧合技术的概括。该方法可用于从不相关的噪声中提取信号,分离重叠的光谱峰,识别逃逸峰,从康普顿连续体重建光谱,并生成次级光谱指纹。我们讨论了协方差方法的一些统计考虑,并介绍了其在伽马光谱中的实验示例。

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