2 papers
hep-ex2026
Separating charm and bottom decay electrons with point-cloud deep learning on the charged-hadron environment
Jingyu Zhang, Wanbing He, Long Ma
Electrons from semi-leptonic decays of charm () and bottom () hadrons are important probes in high-energy collisions, while their separation remains challenging due to the si…
hep-ex2026
Understanding Energy Dependent Hadronic Calorimeter Response from a Machine Learning Perspective
Shuai-Chun Wang, Huang-Ran Shen, Wan-Bing He +4
To meet the precision requirements of future high-energy physics experiments, improving the energy resolution of hadronic calorimeters remains a critical challenge. This work prese…