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本文对几种主要找峰方法进行比较的结果表明:高斯乘积函数法和协方差法对弱放射性γ谱,数据光滑前不能使用,若先作数据光滑再找峰,又容易影响重峰的分辨。第一、二、三阶数值微商法和对称零面积变换法无论γ谱数据统计质量如何,均可使用。从高基底和统计假峰的抑制能力及重峰分辨能力来看,第一和三阶数值微商法及对称零面积变换法较好。特别是对称零面积变换法找峰,效果最佳。
In this paper, the comparison of several main peak search methods shows that Gaussian product function method and covariance method can not be used for the weak γ-ray spectrum before the data is smooth. If the data is smooth and then the peak is found, the resolution of the heavy peak is easily affected . The first, second and third order numerical micro-commercial method and the symmetrical zero area transform method can be used regardless of the statistical quality of the γ-ray data. Judging from the inhibition of high substrate and statistical false peak and heavy peak resolution, the first and third order numerical micro-commercial method and the symmetric zero-area transform method are better. In particular, the symmetrical zero area transform method to find the peak, the best.