Autocorrelation Analysis of the Seismic Data Recorded on Mars

邓斯壮 博士

Rice University

2022.09.09 （星期五）15:00，腾讯会议号：524-7569-5009

报告摘要：

There are eight planets in our solar system, which can be divided into two categories, terrestrial planets and Jovian planets. Mars, the last terrestrial planet away from the sun, is the target we want to investigate. Knowledge of the Martian interior informs theories for the formation and dynamic evolution of another terrestrial planet, hence providing information on the history of the solar system. On Earth, subsurface structure is discovered by the analysis of seismic signals recorded by large seismograph arrays deployed worldwide. The InSight (Interior Exploration Using Seismic Investigations, Geodesy and Heat Transport) lander carried one seismic station to Mars at the end of 2018, providing the opportunity to investigate the internal structure of Mars. As only one station is deployed on Mars to record seismic vibrations, some tomographic and imaging methods based on seismic array analysis are not suitable to analyze Mars data. In this project, we applied seismic interferometry to retrieve two types of seismic phases, body-wave reflection signals and Mars orbiting surface wave signals by ambient noise autocorrelation. The body-wave reflection signal originated from subsurface interfaces of Mars can inform the depth range of these seismic boundaries, including Moho, olivine-wadsleyite transition and core-mantle boundary. As for Mars orbiting surface waves, it can be used to constrain the velocity models of Martian upper mantle.

报告人简介：

邓斯壮，现Rice University地球科学系博士，本科毕业于中国科学技术大学。博士期间主要研究课题包括利用背景噪声提取火星上的体波和面波信号，北美板块LAB和MLD成像以及机器学习的应用。