10 citations · 26 across the 6 of their papers we have counts for
6 papers
Machine Learns Quantum Complexity
Dongsu Bak, Su-Hyeong Kim, Sangnam Park +1
We study how a machine based on deep learning algorithms learns Krylov spread complexity in quantum systems with N x N random Hamiltonians drawn from the Gaussian unitary ensemble.…
Weak-lensing Mass Reconstruction of Galaxy Clusters with a Convolutional Neural Network -- II: Application to Next-Generation Wide-Field Surveys
Sangjun Cha, M. James Jee, Sungwook E. Hong +3
Traditional weak-lensing mass reconstruction techniques suffer from various artifacts, including noise amplification and the mass-sheet degeneracy. In Hong et al. (2021), we demons…
Analyzing Planar Galactic Halo Distributions with Fuzzy/Cold Dark Matter Models
Sangnam Park, Dongsu Bak, Jae-Weon Lee +1
We perform a numerical comparison between the fuzzy dark matter model and the cold dark matter model, focusing on formation of satellite galaxy planes around massive galaxies. Such…
Weak-lensing Mass Reconstruction of Galaxy Clusters with Convolutional Neural Network
Sungwook E. Hong, Sangnam Park, M. James Jee +2
We introduce a novel method for reconstructing the projected matter distributions of galaxy clusters with weak-lensing (WL) data based on convolutional neural network (CNN). Traini…
Effective Cross Section of Fuzzy Dark Matter Halos
Dongsu Bak, Jae-Weon Lee, Sangnam Park
We numerically study the movement of two colliding fuzzy dark matter solitons without explicit self-interaction and find the effective cross section of dissipative change in veloci…
Exact 4-point Scattering Amplitude of the Superconformal Schrodinger Chern-Simons Theory
Sangnam Park, Dongsu Bak
We consider the non-relativistic superconformal U(N) X U(N) Chern-Simons theory with level (k,-k) possessing fourteen supersymmetries. We obtain an exact four-point scattering ampl…