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首页> 外文期刊>Journal of Physics, D. Applied Physics: A Europhysics Journal >A peak-search method based on spectrum convolution
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A peak-search method based on spectrum convolution

机译：基于谱卷积的峰搜索方法

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摘要

A peak-search method for high resolution gamma-ray spectroscopy, based entirely on spectrum convolution, is presented. The detection of the peak and determination of the peak position, width and area can be realized in successive steps, independent of each other. To realize each of the steps, the spectrum is convoluted with an appropriate near-optimal function. Analytical expressions for the uncertainties of positions, areas and widths can be derived. For resolving doublets the standard least-square technique is used, but on the convoluted spectra, avoiding the problems associated with the background component. The performance of the software package based on the proposed method was successfully tested against two standard sets of test spectra of the International Atomic Energy Agency and intercomparison with other peak-search packages proves that the proposed approach is robust and reliable. [References: 12]
机译：提出了一种完全基于频谱卷积的高分辨率伽马射线能谱的峰搜索方法。峰的检测以及峰位置，宽度和面积的确定可以在彼此独立的连续步骤中实现。为了实现每个步骤，使用合适的近似最佳函数对频谱进行卷积。可以得出位置，面积和宽度不确定性的解析表达式。为了解决双峰，使用了标准的最小二乘技术，但是在卷积的光谱上，避免了与背景成分相关的问题。已针对国际原子能机构的两个标准测试光谱集成功测试了基于所提出方法的软件包的性能，并与其他峰搜索软件包进行了比较，证明了所提出方法的鲁棒性和可靠性。 [参考：12]

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