2 papers
astro-ph.CO2023
Reconstructing Lyman- Fields from Low-Resolution Hydrodynamical Simulations with Deep Learning
Cooper Jacobus, Peter Harrington, Zarija Lukić
Hydrodynamical cosmological simulations are a powerful tool for accurately predicting the properties of the intergalactic medium (IGM) and for producing mock skies that can be comp…
physics.plasm-ph2022
Machine-Learning enabled analysis of ELM filament dynamics in KSTAR
Cooper Jacobus, Minjun J. Choi, Ralph Kube
The emergence and dynamics of filamentary structures associated with edge-localized modes (ELMs) inside tokamak plasmas during high-confinement mode is regularly studied using Elec…