Cosmology and Nongalactic Astrophysics

The Deep Learning Halo Definer: A Multimodal Framework for Halo Mass and Gas Fraction Inference on Galaxy Groups and Clusters

Learning the Universe: The Structure of Dust Attenuation Curves in Galaxy Simulations

Cluster Mass Inference from Galaxy Kinematics

Flexible simulation-based inference for galaxy photometric fitting with synthesizer

Reconstructing Galaxy Cluster Mass Maps using Score-based Generative Modeling