195 citations · 203 across the 7 of their papers we have counts for
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astro-ph.GA2026
BIND (Baryonic INpainting with Deep learning): A Field-level Emulator for Galaxy Groups and Clusters
Max E. Lee, Shy Genel, Zoltan Haiman +3
Baryonic feedback is a dominant source of systematic uncertainty for upcoming weak-lensing surveys, but current tools for modeling its effect rely on spherical approximations and d…
astro-ph.GA2026
Introducing sapphire: Towards Hybrid Physics-Informed, Data-Driven Modeling of Galaxy Formation
Viraj Pandya, Greg L. Bryan, T. Lucas Makinen +18
Semi-analytic models (SAMs) have been treating galaxy populations as dynamical systems for years, but their evolution equations remain poorly constrained. We introduce…
astro-ph.GA2024★ 4 cited
Evolution of Star Cluster Within Galaxy using Self-consistent Hybrid Hydro/N-body Simulation
Yongseok Jo, Seoyoung Kim, Ji-hoon Kim +1
We introduce a GPU-accelerated hybrid hydro/N-body code (Enzo-N) designed to address the challenges of concurrently simulating star clusters and their parent galaxies. This task ha…