A machine learning suite to halo-galaxy connection
Published in Springer, 2022
de Santi, N. S. M. and et al., 2023 https://link.springer.com/book/10.1007/978-3-031-34167-0
Paper highlights:
- Uses several ML algorithms to learn how galaxy properties depend on their host dark matter haloes.
- Shows that combining models and augmenting data improves predictions for rare galaxy populations.
- Finds that stellar mass is tightly linked to haloes, while other properties require additional physics.
You can read the paper here.