Utilising artificial intelligence to elucidate the physics of galaxies

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For decades astronomers have puzzled over the connection between the structure and evolution of galaxies and the role played by host environments. This project aims to resolve this problem by combining multi-wavelength observations, multi-component simulations, and pioneering data analysis using artificial intelligence. In particular, we target the nearby Fornax galaxy cluster as a laboratory for studying galaxy formation in dense environments. Using our novel machine learning techniques, we will elucidate the physical mechanisms that drive the rapid evolution of star formation, galactic nuclei, and gas and dust content within Fornax. Our predictions will benefit ongoing and future surveys at the national and international level.