Utilising artificial intelligence to elucidate the physics of galaxies

几十年来，天文学家一直对星系的结构和演化与宿主环境所扮演的角色之间的联系感到困惑。该项目旨在通过结合多波长观测、多组分模拟和使用人工智能的开创性数据分析来解决这一问题。特别是，我们将附近的天炉座星系团作为研究密集环境中星系形成的实验室。 使用我们新颖的机器学习技术，我们将阐明推动星星形成、星系核以及天炉座内气体和尘埃含量快速演化的物理机制。 我们的预测将有利于国家和国际一级正在进行和未来的调查。

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.