activity
20192026
most citedThe CAMELS Multifield Dataset: Learning the Universe's Fundamental Parameters with Artificial Intelligence

69 citations · 297 across the 14 of their papers we have counts for

collaborators
Showing astro-ph.GAShow all

6 papers · 1 filter

astro-ph.GA2026

From Dense Gas Clouds to Supermassive Black Hole Seeds: Hybrid Hydro/Direct -body Simulations of Runaway Collision-driven Intermediate-mass Black Hole Formation

Eunwoo Chung, Yongseok Jo, Ji-hoon Kim +2

A population of dense stellar systems at high redshift has recently been uncovered by the JWST. To investigate the formation of supermassive black hole (SMBH) seeds in these dense…

astro-ph.GA2026

Evolution of Nuclear Star Cluster in Dwarf Galaxy through Mergers and In-Situ Star Formation

Yongseok Jo, Minyong Jung, Greg L. Bryan +3

Nuclear Star Clusters (NSCs) are dense stellar systems located at the centers of galaxies. Employing Enzo-Abyss, which integrates hydrodynamics with a direct N-body solver, we intr…

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…

astro-ph.GA2020★ 60 cited

Dark Matter Deficient Galaxies Produced Via High-velocity Galaxy Collisions In High-resolution Numerical Simulations

Eun-jin Shin, Minyong Jung, Goojin Kwon +4

The recent discovery of diffuse dwarf galaxies that are deficient in dark matter appears to challenge the current paradigm of structure formation in our Universe. We describe the n…

astro-ph.GA2019★ 20 cited

High-redshift Galaxy Formation with Self-consistently Modeled Stars and Massive Black Holes: Stellar Feedback and Quasar Growth

Ji-hoon Kim, John H. Wise, Tom Abel +3

As computational resolution of modern cosmological simulations reach ever so close to resolving individual star-forming clumps in a galaxy, a need for "resolution-appropriate" phys…

astro-ph.GA2019★ 43 cited

Machine-assisted Semi-Simulation Model (MSSM): Estimating Galactic Baryonic Properties from their Dark Matter using a Machine Trained on Hydrodynamic Simulations

Yongseok Jo, Ji-hoon Kim

We present a pipeline to estimate baryonic properties of a galaxy inside a dark matter (DM) halo in DM-only simulations using a machine trained on high-resolution hydrodynamic simu…