Shi Rui, Tuo Xianguo, Zheng Honglong, Li Huailiang, Xu Yangyang, Wang Qibiao, Deng Chao
Fundamental Science on Nuclear Wastes and Environmental Safety Laboratory, Southwest University of Science and Technology, Mianyang, Sichuan, China; Sichuan University of Science & Engineering, Zigong, Sichuan, China; State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu, Sichuan, China.
Fundamental Science on Nuclear Wastes and Environmental Safety Laboratory, Southwest University of Science and Technology, Mianyang, Sichuan, China; Sichuan University of Science & Engineering, Zigong, Sichuan, China; State Key Laboratory of Geohazard Prevention and Geoenvironment Protection, Chengdu University of Technology, Chengdu, Sichuan, China.
Appl Radiat Isot. 2017 Nov;129:1-5. doi: 10.1016/j.apradiso.2017.07.053. Epub 2017 Jul 31.
An algorithm based on moment estimation is presented to determine the initial parameters of the particle spectrum peak shape function for the iteration fitting procedure. The algorithm calculates the mean value, variance, and third-order central moment by using the spectrum peak data, solves the parameters of the fitting function, and then provides them as the initial values to the Levenberg-Marquardt algorithm to ensure convergence and optimized fitting. The effectiveness of the proposed algorithm was tested by gamma and alpha spectra. The algorithm can be used in automated peak curve fitting and spectral analysis.
提出了一种基于矩估计的算法，用于确定迭代拟合过程中粒子谱峰形状函数的初始参数。该算法利用谱峰数据计算均值、方差和三阶中心矩，求解拟合函数的参数，然后将其作为初始值提供给Levenberg-Marquardt算法，以确保收敛和优化拟合。通过伽马谱和阿尔法谱测试了该算法的有效性。该算法可用于自动峰曲线拟合和光谱分析。
