Speaker
Description
Magnetic reconnection is a fundamental physical process that occurs in magnetized plasmas and serves as an efficient mechanism for accelerating charged particles by converting magnetic energy into kinetic and thermal energy. In the interaction between the solar wind and Earth's magnetosphere, particularly during periods of southward interplanetary magnetic field orientation (Bz < 0), magnetic reconnection occurs at the dayside magnetopause, enabling the transfer of magnetic flux to the nightside magnetosphere (magnetotail) and directly influencing the development of geomagnetic storms and substorms. This project aims to develop machine learning techniques capable of identifying magnetic reconnection events in near real time, with the goal of integrating these methods into space weather monitoring systems and improving forecasting and response capabilities. The project will be carried out in collaboration with the Galileo Solar Space Telescope (GSST) mission team and the SolarAI initiative.