Liu Li-tuo, Liu Jian-guo, Zhao Nan-jing, Lu Cui-ping, Chen Dong, Shi Huan, Wang Chun-long, Zhang Yu-jun, Liu Wen-qing
Key Laboratory of Environment Optics & Technology, Institute of Anhui Optics Fine Mechanics, Chinese Academy of Sciences, Hefei 230031, China.
Guang Pu Xue Yu Guang Pu Fen Xi. 2011 Dec;31(12):3285-8.
According to that the spectral line broadening of laser induced breakdown spectroscopy (LIBS) was lorentz nonlinear function model, using Levenberg-Marquardt (L-M) agorithm to optimally estimate the undetermined parameter in the function, the continuum background radiation and peak position and peak intensity were corrected, and the method of data points automatic extraction for fitting was analysed. Automatic fitting and feature parameter extraction for spectral data of LIBS based on L-M algorithm that was hybrid programming with matrixVB and VB were accomplished,and the result was compared with the origin 7.5 data analysis software which was manual and commonly used and verified its stability and reliability.
根据激光诱导击穿光谱（LIBS）的谱线展宽为洛伦兹非线性函数模型，利用列文伯格-马夸尔特（L-M）算法对函数中的待定参数进行最优估计，对连续背景辐射、峰值位置和峰值强度进行校正，并分析了用于拟合的数据点自动提取方法。完成了基于L-M算法的LIBS光谱数据自动拟合及特征参数提取，该算法是通过MatrixVB和VB混合编程实现的，并将结果与常用的手动操作的Origin 7.5数据分析软件进行比较，验证了其稳定性和可靠性。
