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Classification of sedimentary and igneous rocks by laser induced breakdown spectroscopy and nanoparticle-enhanced laser induced breakdown spectroscopy combined with principal component analysis and graph theory

机译:激光诱导击穿光谱和纳米颗粒增强激光诱导击穿光谱与主要成分分析和图论的分类

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In this work, results are presented on the application of standard LIBS and Nanoparticle-Enhanced LIBS (NELIBS) to the classification of rocks (igneous and sedimentary). The classification of the spectra obtained with the two methods was performed using Principal Component Analysis (PCA) and Graph Theory method. The results obtained confirmed the advantages of the LIBS technique in geological applications, showing that excellent classification of the rocks analyzed (more than 99% of the spectra correctly classified) can be obtained using standard LIBS coupled to Graph Theory analysis, while NELIBS spectra, analyzed with the same technique, provide acceptable results, but with 10% of the spectra not classified. These findings are particularly interesting given the application of the LIBS technique in investigating natural samples having porous and/or rough surfaces.
机译:在这项工作中,结果列于将标准Libs和纳米颗粒增强Libs(Nelibs)应用于岩石的分类(火成和沉积)。 使用主成分分析(PCA)和图表理论方法进行用这两种方法获得的光谱分类。 获得的结果证实了Libs技术在地质应用中的优点,显示出分析的岩石的出色分类(超过99%的谱被正确分类)可以使用耦合到图形理论分析的标准lib来获得,而Nelibs Spectra分析 采用相同的技术,提供可接受的结果,但占10%的光谱未分类。 对于在研究具有多孔和/或粗糙表面的天然样品中的应用,这些发现特别有趣。

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