282 citations · 474 across the 18 of their papers we have counts for
4 papers · 1 filter
Calibrating cosmological simulations with implicit likelihood inference using galaxy growth observables
Yongseok Jo, Shy Genel, Benjamin Wandelt +7
In a novel approach employing implicit likelihood inference (ILI), also known as likelihood-free inference, we calibrate the parameters of cosmological hydrodynamic simulations aga…
Growth of A Massive Black Hole Via Tidal Disruption Accretion
Seungjae Lee, Ji-hoon Kim, Boon Kiat Oh
Stars that are tidally disrupted by the massive black hole (MBH) may contribute significantly to the growth of the MBH, especially in dense nuclear star clusters (NSCs). Yet, this…
Star Formation Variability as a Probe for the Baryon Cycle within Galaxies
Eun-jin Shin, Sandro Tacchella, Ji-hoon Kim +2
We investigate the connection of the regulation of star formation and the cycling of baryons within and in and out of galaxies. We use idealized numerical simulations of Milky Way-…
Machine-guided Exploration and Calibration of Astrophysical Simulations
Boon Kiat Oh, Hongjun An, Eun-jin Shin +2
We apply a novel method with machine learning to calibrate sub-grid models within numerical simulation codes to achieve convergence with observations and between different codes. I…