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Automatic Bulk Composition Analysis of Lunar Basalts: Novel Big- Data Algorithm for Energy-Dispersive X-ray Spectroscopy

文献类型：期刊论文

作者Yuan, Jiangyan3; Huang, Hao3; Chen, Yi2,3; Yang, Wei1; Tian, Hengci1; Zhang, Di1; Zhang, Huijuan1
刊名ACS EARTH AND SPACE CHEMISTRY
出版日期2023-02-16
卷号7期号:2页码:370-378
ISSN号2472-3452
关键词bulk composition lunar basalts big-data energy-dispersive X-ray spectroscopy automatic analysis
DOI10.1021/acsearthspacechem.2c00260
英文摘要The bulk composition of lunar basaltic meteorites and clasts provides crucial information for understanding their petrogenesis and thus lunar thermal evolution. Meanwhile, the basalt type of Chang'E-5 based on the bulk TiO2 contents remains debatable. Modal recombination based on mineral volume fraction, densities, and average compositions is currently the most popular method to determine the bulk composition of lunar samples. Yet, the latter two parameters can be biased markedly by ubiquitous compositional variations in pyroxene, olivine, and plagioclase. To rectify these issues and provide more accurate classifications, this study devises a novel big-data algorithm that analyzes maps of energy-dispersive X-ray spectroscopy (EDS) data of lunar basalts. The algorithm starts by labeling each point through a newly devised mineral classifier, then uses the mean of all points per mineral to represent average composition, and finally recalculates the true density per mineral to replace standard density. The accuracy of this mineral classifier is demonstrated by tests on a database of lunar minerals. The accuracy and precision of EDS mapping were verified by test analysis on certified reference minerals. Measurements on a lunar meteorite sample with a known composition, NWA 4734, are comparable to those measured using inductively coupled plasma optical emission spectrometry and confirm the reliability of the bulk composition algorithm. To demonstrate its utility for comprehensive understanding of petrographic features, the high-efficiency algorithm was applied to Chang'E-5 basalts. The results reveal that these basalts are characterized by low-Ti and low-Mg features, thus distinct from previous Apollo and Luna samples.
WOS关键词MARE BASALTS ; PETROGENESIS ; VELOCITIES ; ORIGIN ; CRUST
资助项目National Natural Science Foundation of China[42241103] ; National Natural Science Foundation of China[42172064] ; Key Research program of Chinese Academy of Sciences[ZDBS-SSW-JSC007-15] ; key research programs of the IGGCAS[IGGCAS-202101] ; State Key Laboratory of Lithospheric Evolution in IGGCAS[E052510401] ; Technological Research Funds in IGGCAS[E151850601]
WOS研究方向Chemistry ; Geochemistry & Geophysics
语种英语
出版者AMER CHEMICAL SOC
WOS记录号WOS:001038584000001
资助机构National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Key Research program of Chinese Academy of Sciences ; Key Research program of Chinese Academy of Sciences ; Key Research program of Chinese Academy of Sciences ; Key Research program of Chinese Academy of Sciences ; key research programs of the IGGCAS ; key research programs of the IGGCAS ; key research programs of the IGGCAS ; key research programs of the IGGCAS ; State Key Laboratory of Lithospheric Evolution in IGGCAS ; State Key Laboratory of Lithospheric Evolution in IGGCAS ; State Key Laboratory of Lithospheric Evolution in IGGCAS ; State Key Laboratory of Lithospheric Evolution in IGGCAS ; Technological Research Funds in IGGCAS ; Technological Research Funds in IGGCAS ; Technological Research Funds in IGGCAS ; Technological Research Funds in IGGCAS ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Key Research program of Chinese Academy of Sciences ; Key Research program of Chinese Academy of Sciences ; Key Research program of Chinese Academy of Sciences ; Key Research program of Chinese Academy of Sciences ; key research programs of the IGGCAS ; key research programs of the IGGCAS ; key research programs of the IGGCAS ; key research programs of the IGGCAS ; State Key Laboratory of Lithospheric Evolution in IGGCAS ; State Key Laboratory of Lithospheric Evolution in IGGCAS ; State Key Laboratory of Lithospheric Evolution in IGGCAS ; State Key Laboratory of Lithospheric Evolution in IGGCAS ; Technological Research Funds in IGGCAS ; Technological Research Funds in IGGCAS ; Technological Research Funds in IGGCAS ; Technological Research Funds in IGGCAS ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Key Research program of Chinese Academy of Sciences ; Key Research program of Chinese Academy of Sciences ; Key Research program of Chinese Academy of Sciences ; Key Research program of Chinese Academy of Sciences ; key research programs of the IGGCAS ; key research programs of the IGGCAS ; key research programs of the IGGCAS ; key research programs of the IGGCAS ; State Key Laboratory of Lithospheric Evolution in IGGCAS ; State Key Laboratory of Lithospheric Evolution in IGGCAS ; State Key Laboratory of Lithospheric Evolution in IGGCAS ; State Key Laboratory of Lithospheric Evolution in IGGCAS ; Technological Research Funds in IGGCAS ; Technological Research Funds in IGGCAS ; Technological Research Funds in IGGCAS ; Technological Research Funds in IGGCAS ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Key Research program of Chinese Academy of Sciences ; Key Research program of Chinese Academy of Sciences ; Key Research program of Chinese Academy of Sciences ; Key Research program of Chinese Academy of Sciences ; key research programs of the IGGCAS ; key research programs of the IGGCAS ; key research programs of the IGGCAS ; key research programs of the IGGCAS ; State Key Laboratory of Lithospheric Evolution in IGGCAS ; State Key Laboratory of Lithospheric Evolution in IGGCAS ; State Key Laboratory of Lithospheric Evolution in IGGCAS ; State Key Laboratory of Lithospheric Evolution in IGGCAS ; Technological Research Funds in IGGCAS ; Technological Research Funds in IGGCAS ; Technological Research Funds in IGGCAS ; Technological Research Funds in IGGCAS
源URL[http://ir.iggcas.ac.cn/handle/132A11/111333]  
专题地质与地球物理研究所_岩石圈演化国家重点实验室
地质与地球物理研究所_中国科学院地球与行星物理重点实验室
通讯作者Huang, Hao; Chen, Yi
作者单位1.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Earth & Planetary Phys, Beijing 100029, Peoples R China
2.Univ Chinese Acad Sci, Coll Earth & Planetary Sci, Beijing 100049, Peoples R China
3.Chinese Acad Sci, Inst Geol & Geophys, State Key Lab Lithospher Evolut, Beijing 100029, Peoples R China
推荐引用方式
GB/T 7714		 Yuan, Jiangyan,Huang, Hao,Chen, Yi,et al. Automatic Bulk Composition Analysis of Lunar Basalts: Novel Big- Data Algorithm for Energy-Dispersive X-ray Spectroscopy[J]. ACS EARTH AND SPACE CHEMISTRY,2023,7(2):370-378.
APA Yuan, Jiangyan.,Huang, Hao.,Chen, Yi.,Yang, Wei.,Tian, Hengci.,...&Zhang, Huijuan.(2023).Automatic Bulk Composition Analysis of Lunar Basalts: Novel Big- Data Algorithm for Energy-Dispersive X-ray Spectroscopy.ACS EARTH AND SPACE CHEMISTRY,7(2),370-378.
MLA Yuan, Jiangyan,et al."Automatic Bulk Composition Analysis of Lunar Basalts: Novel Big- Data Algorithm for Energy-Dispersive X-ray Spectroscopy".ACS EARTH AND SPACE CHEMISTRY 7.2(2023):370-378.

入库方式： OAI收割

来源：地质与地球物理研究所

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