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Stellar feedback regulates star formation and shapes the interstellar medium, making it central to understanding galaxy evolution. Advances in observing facilities and data analysis offer new opportunities to quantify its effects across scales and environments. Using FAST and VLA observations of Andromeda, we trace supernova energy input through expanding superbubbles and demonstrate that this feedback can sustain atomic gas turbulence across the galactic disk. These measurements provide a framework for investigating how mechanical feedback redistributes gas and energy and influences galactic structure and evolution. The talk also discusses radiative feedback in extreme star-forming environments. It covers the observational and computational methods behind these studies, from single-dish and interferometric imaging to physical modelling, and explores approaches to data processing and analysis in the AI era.

BIO

Fanyi Meng is a postdoctoral researcher in the Department of Astronomy at Tsinghua University, working with Professor Di Li. He earned his BSc from Peking University and his PhD from the University of Cologne, Germany, before undertaking postdoctoral research at the University of Chinese Academy of Sciences. His research focuses on stellar feedback, the interstellar medium, and AI-assisted data processing and analysis.

Host: Cheng Zhao