Hybrid analytic and machine-learned baryonic property insertion into galactic dark matter haloes

no code implementations • 10 Dec 2020 • Ben Moews, Romeel Davé, Sourav Mitra, Sultan Hassan, Weiguang Cui

In doing so, we are able to recover more properties than the analytic formalism alone can provide, creating a high-speed hydrodynamic simulation emulator that populates galactic dark matter haloes in N-body simulations with baryonic properties.

BIG-bench Machine Learning