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A method for resolving overlapped peaks in laser-induced breakdown spectroscopy (LIBS)

机译:一种解决激光诱导击穿光谱(LIBS)中重叠峰的方法

摘要

Spectral peak overlapping is a basic problem in analytical data processing of laser-induced breakdown spectroscopy (LIBS). Curve fitting is the typical method of resolving overlapped peaks. For preventing ambiguous fitting, appropriate initial values must be known. The aim of this work was to present a method that could be used to determine appropriate initial values of the curve-fitting method by using fractional differential theory. According to the variation of characteristic points of Lorentzian peaks at different fractional differential orders, parameter estimators were obtained that were used to calculate the initial values of the curve-fitting method. As it is a widely used optimization method, the Levenberg-Marquardt method was used in curve fitting. Simulation and LIBS experimental results proved that the proposed method of the initial value estimation can effectively resolve the overlapped peaks in LIBS data processing.
机译:光谱峰重叠是激光诱导击穿光谱法(LIBS)的分析数据处理中的一个基本问题。曲线拟合是解决重叠峰的典型方法。为了防止模棱两可的拟合,必须知道适当的初始值。这项工作的目的是提出一种方法,该方法可以通过使用分数微分理论来确定曲线拟合方法的适当初始值。根据不同分数阶微分下的洛伦兹峰特征点的变化,获得了参数估计器,用于计算曲线拟合方法的初始值。由于它是一种广泛使用的优化方法,因此在曲线拟合中使用了Levenberg-Marquardt方法。仿真和LIBS实验结果证明,所提出的初始值估计方法可以有效解决LIBS数据处理中的重叠峰。

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