Shining gravitational waves on binary astrophysics

这个项目旨在利用不断增长的引力波观测数据集，这带来了引力波天文学的一个新领域，以回答天体物理学中的基本问题。这个项目将结合最先进的理论建模和创新的机器学习技术，以探索宇宙是如何产生合并的黑洞和中子星的，以及它们告诉我们关于最难以捉摸但极其重要的大质量恒星的生死。这将加强澳大利亚在新兴引力波天文学领域的作用，并通过可转移的机器学习技术、合作建设和大数据培训提供广泛的好处。

This project aims to take advantage of the growing data set of gravitational-wave observations, which ushered in a new field of gravitational-wave astronomy, to answer fundamental questions in astrophysics. This project will combine state-of-the art theoretical modelling with innovative machine learning techniques in order to explore how the Universe makes merging black holes and neutron stars, and what they tell us about the lives and deaths of the most elusive but incredibly important massive stars. This will strengthen Australia's role in the emerging field of gravitational-wave astronomy and provide broad benefits through transferrable machine learning techniques, collaboration building, and big data training.