Open AccessNew spectral reduction algorithm for echelle spectrometer in laser-induced breakdown spectroscopy
Author(s) -
Mohan Shen,
Zhongqi Hao,
Xiangyou Li,
Changmao Li,
Lianbo Guo,
Yun Tang,
Ping Yang,
Xiaoyan Zeng,
Yongfeng Lu
Publication year - 2018
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.26.034131
Subject(s) - spectrometer , optics , spectrogram , laser induced breakdown spectroscopy , reduction (mathematics) , algorithm , laser , spectroscopy , stability (learning theory) , computer science , spectral line , materials science , physics , mathematics , artificial intelligence , geometry , quantum mechanics , astronomy , machine learning
In this work, a new spectral reduction algorithm for the echelle spectrometer was proposed. Unlike conventional approaches, the key concept in this algorithm is to model the spectrogram rather the spectrometer, which makes the algorithm more adaptive to different designs. This algorithm also introduces a dynamic adjusting procedure for generating optimized spectra from laser-induced plasmas. This additional step improved the spectrum stability and absolute line intensity of the spectrum and yielded better quantification performance. Experimental results demonstrated that the quantification results of analyzing aluminum alloy samples were improved using this new algorithm.