Spars-modeling view of natural history of the solid bodies in the solar system: Exploration strategy of small bodies after the Hayabusa mission

2017 Fiscal Year Final Research Report

• Project Area: Initiative for High-Dimensional Data-Driven Science through Deepening of Sparse Modeling
• Project/Area Number: 25120006
• Research Category: Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)
• Allocation Type: Single-year Grants
• Review Section: Complex systems
• Research Institution: The University of Tokyo
• Principal Investigator: Miyamoto Hideaki 東京大学, 大学院工学系研究科(工学部), 教授 (00312992)
• Co-Investigator(Kenkyū-buntansha): 杉田 精司 東京大学, 大学院理学系研究科(理学部), 教授 (80313203) ; 栗谷 豪 北海道大学, 理学研究院, 准教授 (80397900)
• Project Period (FY): 2013-06-28 – 2018-03-31
• Keywords: 小惑星 / 隕石 / 反射スペクトル / クラスター解析 / スパースモデリング

Outline of Final Research Achievements

Asteroids are classified based on their reflectance spectra, which are compared with those of meteorites, which are known to be mostly originated from asteroids. However, some types of asteroids do not really match with meteorites, and their direct comparisons are generally difficult without professional skills. We applied the concept of the sparse modelling to connect asteroids with meteorites to search for the optimal integration scheme for two different databases without relying on preliminary knowledge. We developed large databases of asteroids and meteorites for easy application of sparse modelling. Through our analyses including principal component analysis, Bayesian spectral deconvolution and dimensionality reduction, we found that our data-driven approach can extract potential information consistent with previous studies. Our methods show a new type of data handling scheme for asteroid and meteorite data, potentially having a significant contribution for future missions.

Free Research Field

惑星科学