A Hierarchy of Normalizing Flows for Modelling the Galaxy-Halo Relationship
Published in arXiv, 2023
Lovell, C. C., Hassan, S., Anglés-Alcázar, D., et al. 2023, arXiv:2307.06967. doi:10.48550/arXiv.2307.06967 [https://arxiv.org/abs/2307.06967](https://arxiv.org/abs/2307.06967)
Paper highlights:
- Trains a conditional normalizing flow on CAMELS hydrodynamical simulations to model the joint probability of galaxy and halo properties conditioned on cosmological and astrophysical parameters.
- Enables efficient marginalisation over nuisance parameters and serves as a generative model for halo masses, galaxy properties, and scaling relations.
- Provides a flexible probabilistic framework for modeling the galaxy–halo connection across a wide parameter space of cosmological and astrophysical parameters.
You can read the paper here.