3 citations · 3 across the 3 of their papers we have counts for
4 papers
EveNet: A Foundation Model for Particle Collision Data Analysis
Ting-Hsiang Hsu, Bai-Hong Zhou, Qibin Liu +8
While deep learning is transforming data analysis in high-energy physics, computational challenges limit its potential. We address these challenges in the context of collider physi…
Entanglement and Bell Nonlocality in at the LHC using Machine Learning for Neutrino Reconstruction
Yulei Zhang, Bai-Hong Zhou, Qi-Bin Liu +5
Experiments at the CERN Large Hadron Collider (LHC) have accumulated an unprecedented amount of data corresponding to a large variety of quantum states. Although searching for new…
DarkSHINE Baseline Design Report: Physics Prospects and Detector Technologies
Jing Chen, Ji-Yuan Chen, Jun-Feng Chen +39
DarkSHINE is a newly proposed fixed-target experiment initiative to search for the invisible decay of Dark Photon via missing energy/momentum signatures, based on the high repetiti…
Design of a LYSO Crystal Electromagnetic Calorimeter for DarkSHINE Experiment
Zhiyu Zhao, Qibin Liu, Jiyuan Chen +24
This paper presents the design and optimization of a LYSO crystal electromagnetic calorimeter (ECAL) for the DarkSHINE experiment, which aims to search for dark photons as potentia…