86 citations · 788 across the 29 of their papers we have counts for
29 papers
A Data-driven Event Generator for Hadron Colliders using Wasserstein Generative Adversarial Network
Suyong Choi, Jae Hoon Lim
Highly reliable Monte-Carlo event generators and detector simulation programs are important for the precision measurement in the high energy physics. Huge amounts of computing reso…
Data-driven Estimation of Background Distribution through Neural Autoregressive Flows
Suyong Choi, Jaehoon Lim, Hayoung Oh
We report on a general and automatic data-driven background distribution shape estimation method using neural autoregressive flows (NAF), which is one of the deep generative learni…
Letter of Intent: Search for sub-millicharged particles at J-PARC
Suyong Choi, Jeong Hwa Kim, Eunil Won +9
We propose a new experiment sensitive to the detection of millicharged particles produced at the GeV proton fixed-target collisions at J-PARC. The potential site for the exper…
Improved Extrapolation Methods of Data-driven Background Estimation in High-Energy Physics
Suyong Choi, Hayoung Oh
Data-driven methods of background estimations are often used to obtain more reliable descriptions of backgrounds. In hadron collider experiments, data-driven techniques are used to…
Infrared Safety of a Neural-Net Top Tagging Algorithm
Suyong Choi, Seung J. Lee, Maxim Perelstein
Neural network-based algorithms provide a promising approach to jet classification problems, such as boosted top jet tagging. To date, NN-based top taggers demonstrated excellent p…
Detection of Dark Photon Decaying into using Cherenkov Radiation
Suyong Choi, Yunjun Kim, Youn Roh
In dark photon search experiments with electron beam-dumps, it is difficult to access the smaller dark photon life-time region of phase space due to enormous backgrounds from low-e…