@inproceedings{oai:jaxa.repo.nii.ac.jp:00020377,
 author = {石橋, 高 and 大野, 宗祐 and 和田, 浩二 and 千秋, 博紀 and 小林, 正規 and 荒井, 朋子 and 並木, 則行 and 松井, 孝典 and 長, 勇一郎 and 鎌田, 俊一 and 杉田, 精司 and 飯島, 祐一 and Ishibashi, Ko and Ono, Sosuke and Wada, Koji and Senshu, Hiroki and Kobayashi, Masanori and Arai, Tomoko and Namiki, Noriyuki and Matsui, Takafumi and Cho, Yuichiro and Kamata, Shunichi and Sugita, Seiji and Iijima, Yuichi},
 book = {月・惑星シンポジウム, Proceedings of the ISAS lunar and planetary symposium},
 month = {Aug},
 note = {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), 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, 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., 形態: CD-ROM1枚, 著者人数: 15人, Number of authors: 15, Note: One CD-ROM, 資料番号: AA0064739033},
 pages = {141--145},
 publisher = {宇宙航空研究開発機構宇宙科学研究本部, Institute of Space and Astronautical Science, Japan Aerospace Exploration Agency (JAXA)},
 title = {Effect of Spectral Quality on the Precision of Elemental Abundance Prediction Using Partial Least Squares Regression in Laser-Induced Breakdown Spectroscopy},
 volume = {42},
 year = {2009}
}