摘要
针对核能谱解析中,单能峰会受到低能拖尾和高能拖尾的影响,给出了先根据单能峰半高宽读数值来确定数据拟合窗,再运用快速迭代算法进行高斯函数拟合的方法。文中先进行了含噪高斯信号拟合实验,然后在实测X荧光能谱中对不同含量的单能峰进行快速高斯拟合应用。实验表明,本方法对高含量核素的单能峰拟合效果良好,对高背景低含量核素的单能峰需先进行平滑处理再做拟合。
In the analysis of nuclear energy spectrum,the single energy peak is affected by low energy tail and high energy tail.Therefore,a method is proposed in which the data fitting window is determined by the full width at half maxima values of single energy peak,and then the Gaussian function fitting method is applied by using fast iterative algorithm.In this paper,the Gaussian signal fitting experiment with noise is carried out,then,the single energy peaks with different contents in the actual measured X-ray fluorescence spectrum are fitted by fast Gaussian method.The results show that this method has a good fitting effect on the single energy peak of high content nuclides,and the single energy peak of high background and low content nuclides should be smoothed before fitting.
作者
陈伟
方方
莫磊
洪旭
喻杰
CHEN Wei;FANG Fang;MO Lei;HONG Xu;YU Jie(College of Information Engineering,Chengdu Aeronautic Polytechnic,Chengdu Sichuan 610100,China;College of Nuclear Technology and Automation Engineering,Chengdu University of Technology,Chengdu Sichuan 610059,China)
出处
《太赫兹科学与电子信息学报》
北大核心
2020年第3期527-530,共4页
Journal of Terahertz Science and Electronic Information Technology
基金
国家自然科学基金资助项目(41774140)
四川省教育厅科研资助项目(18ZA0041)
成都航院校级资助项目(062002)。
关键词
单能峰
高斯拟合
最小二乘拟合
拟合窗宽
核能谱
single energy peak
Gaussian fitting
least square fitting
width of fitting window
nuclear spectrum