EPSC Abstracts
Vol. 17, EPSC2024-293, 2024, updated on 26 Aug 2024
https://doi.org/10.5194/epsc2024-293
Europlanet Science Congress 2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.

Meteorites Colliding Craters Inversion based on Kernel Gaussian Mixture Ridge Regression

Wei Zhao, Wei Han, and Peng Liu
Wei Zhao et al.
  • Harbin Institute of Technology, Computing Faculty, Computer Science and Technology, China (zhaowei@hit.edu.cn)

Inverting kinetic energy impacts of high-speed meteoroids is an effective means to study the dynamics of celestial impact, thereby, evaluate the impact effects and hazards. This paper uses a Smoothed Particle Hydrodynamics method based Celestial Impact Dynamics (PySPH-CID) to simulate the ejecta and crater evolution process of meteorites colliding into Earth; and a Kernel Gaussian Mixture Ridge Regression (KGMRR) method is proposed to fit the one-to-many mapping between cause and effect of an impact with multiple sets of feasible solutions; a solution space is obtained using Gaussian Process (GP), for the formation conditions of craters after a small celestial body impacts. An inversion of colliding crater of Yilan in Heilongjiang Province, Northeast China, 46°23'03'' N and 129°18'40'' E, with 1.85km diameter, which located entirely on the cretaceous granite bedrock and preserved the remnants of two-thirds of the crater rim, was made. Assuming the impactor diameter is around 120m, preliminary experiment gives colliding cause vectors that impact velocities range between 13.78~15.4 km/s with 60.7°~66.6° obliquely incident, impactor density varying in scope of 2772~2815 kg/m3. This work provides a direct reference for effectively defending against the threat of foreign celestial bodies to the Earth, developing and transforming controlled impact technologies, as well as implementing precise and controllable impacts.

How to cite: Zhao, W., Han, W., and Liu, P.: Meteorites Colliding Craters Inversion based on Kernel Gaussian Mixture Ridge Regression, Europlanet Science Congress 2024, Berlin, Germany, 8–13 Sep 2024, EPSC2024-293, https://doi.org/10.5194/epsc2024-293, 2024.