Long-term reproducibility detection method for quantitative LIBS using Kalman filtering

J. Anal. At. Spectrom., 2023, Advance Article DOI: 10.1039/D3JA00275F, PaperYing Lu, Li Liu, Zechuan Wu, Zhishuai Xu, Ziyi Zhao, Zhongqi Hao, Jiulin Shi, Xingdao He The Kalman filtering method can effectively correct the influence of instrument drift and improve the long-term reproducibility of LIBS. To cite this article before page numbers are assigned, use the DOI form of citation above. The content of this RSS Feed (c) The Royal Society of Chemistry

http://pubs.rsc.org/en/Content/ArticleLanding/2023/JA/D3JA00275F

Source: RSC - J. Anal. At. Spectrom. latest articles - November 6, 2023 Category: Chemistry Authors: Ying Lu Source Type: research

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