Effect of Spectral Quality on the Precision of Elemental Abundance Prediction Using Partial Least Squares Regression in Laser-Induced Breakdown Spectroscopy
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Planetary Exploration Research Center, Chiba Institute of Technology
Planetary Exploration Research Center, Chiba Institute of Technology
Planetary Exploration Research Center, Chiba Institute of Technology
Planetary Exploration Research Center, Chiba Institute of Technology
Planetary Exploration Research Center, Chiba Institute of Technology
Planetary Exploration Research Center, Chiba Institute of Technology
Planetary Exploration Research Center, Chiba Institute of Technology
Planetary Exploration Research Center, Chiba Institute of Technology
Department of Earth and Planetary Science, Graduate School of Science, University of Tokyo
Department of Earth and Planetary Science, University of Tokyo
Department of Complexity Science and Engineering, Graduate School of Frontier Science, Universityof Tokyo
Institute of Space and Astronautical Science, Japan Aerospace Exploration Agency (JAXA)(ISAS)
出版者
宇宙航空研究開発機構宇宙科学研究本部
出版者（英）
Institute of Space and Astronautical Science, Japan Aerospace Exploration Agency (JAXA)
雑誌名
月・惑星シンポジウム
雑誌名(英)
Proceedings of the ISAS lunar and planetary symposium
巻
42
ページ
141 - 145
発行年
2009-08
会議概要（会議名, 開催地, 会期, 主催者等）
第42回 月・惑星シンポジウム(2009年8月5-7日, 宇宙航空研究開発機構宇宙科学研究本部)
会議概要（会議名, 開催地, 会期, 主催者等）（英）
The 42nd ISAS Lunar and Planetary Symposium (August 5-7, 2009. Institute of Space and Astronautical Science, Japan Aerospace Exploration Agency (JAXA)), Sagamihara, Kanagawa Japan
抄録（英）
We are developing a laser-induced breakdown spectroscopy (LIBS) system for future planetary exploration missions. LIBS can predict the elemental abundances of samples through analyzing acquired emission spectra. Analytical precision of LIBS depends on the spectral quality such as S/N ratio and wavelength resolution of the spectra. In this study we investigated the effect of S/N ratio and wavelength resolution on elemental abundance prediction when partial least squares regression (PLS) is used in spectra analysis. The results indicate that low-S/N ratio decreases the prediction precision. However, the prediction precision does not decrease even though the wavelength resolution is low enough that individual emission lines are not separated. This suggests that high-wavelength-resolution spectrometer is not required for LIBS system in using PLS, leading to decrease in the size and weight of LIBS system.
Effect of Spectral Quality on the Precision of Elemental Abundance Prediction Using Partial Least Squares Regression in Laser-Induced Breakdown Spectroscopy
