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基于MarSCoDe的激光诱导分解光谱数据的天文-1着陆地点火星岩石和土壤的分类

Chenyu Cao¹, Jiale Huang², Mingyu Su¹

¹Shandong Key Laboratory of Space Environment and Exploration Technology, Institute of Space Sciences, School of Space Science and Technology, Shandong University, Shandong, China.

|March 14, 2026

概括

使用主要成分分析 (PCA) 的新快速方法通过分析激光诱导分解光谱 (LIBS) 数据来对火星岩石和土壤进行分类. 这种方法有助于理解火星.

科学领域:

行星科学行星科学
地质化学地质化学
频谱学是一种光谱学.

背景情况:

激光诱导分解光谱 (LIBS) 对于确定火星物质的化学成分至关重要.
朱龙探测器上的火星表面成分探测器 (MarSCoDe) 分析了天文-1现场的岩石和土壤.
对火星材料的定量分析是具有挑战性的,因为环境的变化和不同的石质学.

研究的目的:

使用LIBS数据开发一种快速分类火星岩石和土壤的方法.
为了克服火星材料定量化学成分分析方面的挑战.
为了使MarSCoDe数据能够有效地解释地质洞察力.

主要方法:

提出了一种基于主要成分分析 (PCA) 的快速分类方法.
使用LIBS光谱分析的车载校准目标,匹配仪器和环境条件.
将PCA模型应用于来自校准目标和火星材料的LIBS光谱,包括ChemCam数据.

主要成果:

基于PCA的方法在分类LIBS光谱方面表现良好.
对MarSCoDe数据的集群分析揭示了像蒙莫里隆石这样的改变矿物的存在.
表示微小的水性变化,可能来自大气中的水或地下水的相互作用.

结论:

该研究提出了利用LIBS在火星上快速识别矿物质的有效方法.
该方法为MarSCoDe数据的定量分析提供了一个框架.
提供了关于天文-1着陆区域的地质起源和水文演变的见解.

关键词:

分类分类分类分类.激光诱导分解光谱学 (LIBS) 是一种技术.火星火星火星火星火星主要组成部分分析 (PCA)天文一号 - 天文一号

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