基于小波变换的γ能谱分析
γ-Spectrum Analyzing Based on Wavelet Transform
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摘要: 为进行γ能谱分析,需要减少、抑制放射性计数的统计涨落。针对常用平滑滤波方法中存在的不足,使用小波变换的方法对复杂的γ能谱进行平滑滤波,获得了令人满意的效果。这更有助于精确找出全部的全能峰的峰位和计算全能峰的面积,使得γ能谱的分析更为精确。Abstract: Statistical fluctuation should be filtered when the γ-spectrum is analyzed. In order to overcome the shortcoming of general smooth filtering methods, wavelet transform theory is used to filter the complex γ-spectrum. The statistical fluctuation of γ-spectrum is filtered well, and the shape of its characterize peak is kept well too. This method can make the γ-spectrum analyzing more precise on ascertaining species and intensity of the radioactive nuclides.