[11a-E207-1~7] CS.1 Code-sharing session of 2.3&7.4

11:30 AM - 11:45 AM JST(2:30 AM - 2:45 AM UTC)

[11a-E207-7] Application of correlation analysis to the component analysis of carbonaceous chondrite

Azumi Nomura¹, 〇Kousuke Moritani¹, Tomomichi Nakamura¹, Nao Eguchi², Naoko Sano³, Motoo Ito^2,4 (1.Univ. of Hyogo, 2.Osaka Univ., 3.Ionoptika ltd., 4.JAMSTEC)

Keywords:

ToF-SIMS,GCIB,correlation analysis

In recent years, the application of artificial intelligence (AI) techniques, such as machine learning (ML), to the interpretation of secondary ion mass spectrometry (SIMS) data has advanced considerably. However, since inference strongly depends on the characteristics and scope of the training data, applying these approaches to newly measured unknown materials or samples absent from existing databases can be challenging. To address this limitation, we propose a method that introduces network analysis based on inter-peak correlations, enabling intuitive visualization of related peak groups without reliance on predefined databases. In this study, the proposed approach was applied to GCIB-SIMS data obtained from carbonaceous chondrites.