伏格特剖面
激光诱导击穿光谱
激光线宽
谱线形状
卷积(计算机科学)
光谱学
曲线拟合
高斯函数
光学
高斯分布
功能(生物学)
洛伦兹变换
数学
物理
数学分析
谱线
激光器
统计
量子力学
机器学习
生物
进化生物学
人工神经网络
计算机科学
作者
Siying Chen,Yiwen Jia,He Chen,Pan Guo,Qixiang Xu,Lifu Wang,Yinchao Zhang
出处
期刊:Applied Optics
[The Optical Society]
日期:2021-04-19
卷期号:60 (14): 4120-4120
被引量:6
摘要
Accurate and rapid spectrum fitting is very important for quantitatively analyzing laser-induced breakdown spectroscopy (LIBS). The Voigt function is often used to fit LIBS spectral lines. We propose a new approximate Voigt function formula. Based on the classic Lorentz–Gauss linear combination formula, a summation term was added that contained a specific convolution operation to improve the Voigt function’s calculation and fitting accuracy. This formula can be used for the approximate calculation of the Voigt function with an overall accuracy of 0.31% and a full width at half-maximum internal accuracy of 0.25% when the ratio of Lorentzian linewidth to Gaussian linewidth is 1:1. The formula was then applied to LIBS data processing to fit four element spectral lines of calcium (Ca-393.37, 396.85, and 422.67 nm) and potassium (K-766.49 nm). The fitting results showed that this new approximate formula could fit at least seven data points, and compared with the complex plane partition method and the classic linear combination formula, the new formula had better fitting speed and accuracy.
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