Characterising the Composition of Olivine and Iron Oxides in a Sample of the Sericho Meteorite by Raman Spectroscopy Using Principal Component Analysis
Cédric Malherbe, Ian B. Hutchinson, Hannah Lerman, Melissa McHugh, Gauthier Eppe
- 发表年份
- 2025
- 引用次数
- 2
摘要
ABSTRACT Raman spectroscopy is a key technique for planetary exploration, providing mineralogical insights under strict constraints on power, mass and data transmission. This study applies principal component analysis (PCA) to Raman imaging data from the Sericho pallasite meteorite, composed mainly of Mg‐rich olivine and Fe‐Ni alloy. PCA efficiently reduced the complex dataset to only five principal components, retaining most of the molecular information. Using PCA scores, averaged Raman spectra were calculated to significantly simplify spectral interpretation, highlighting olivine as the dominant mineral and goethite, disordered hematite as well as disordered carbon as minor phases in the sample. In addition, PCA scores associated with the x‐y coordinate of the Raman image enable identification of distinct mineralogical domains, revealing the spatial distribution of iron oxyhydroxides primarily at interfaces and fractures of the olivine inclusions. Additionally, PCA‐filtered spectra enabled spatially resolved quantification of olivine composition, showing a 5%–10% magnesium enrichment in olivine cores compared to interfaces with iron oxyhydroxides, suggesting weathering origins of the Fe‐Ni alloy. These results demonstrate the strong potential of PCA for data reduction, visualization and interpretation of complex Raman datasets, making it a powerful tool for in situ mineralogical analysis during future robotic or human planetary missions where fast real‐time data processing is key for informed decision‐making.
关键词
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Fractional Differential Equations
Igor Podlubný
2025
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
Genetic Programming: On the Programming of Computers by Means of Natural Selection
John R. Koza
1992