antineutron reconstruction 1electromagnetic calorimeter 1mixed-representation learning 1neutral hadron detection 1object detection 1
From the 1 of 3 linked papers with an AI index.
3 papers
physics.data-an2026
Learning transferable event representations for charmed baryon physics at BESIII
Kaixuan Huang, Yangu Li, Junpeng Zhao +6
Deep learning has become an essential tool in high-energy physics, where the ability to learn transferable event representations can significantly improve model generalization acro…
hep-ex2026
Antineutron reconstruction in electromagnetic calorimeters with mixed-representation learning
Yangu Li, Hongtian Yu, Yuyang Huang +7
The paper introduces a mixed‑representation neural network that combines visual and sequential features to identify antineutrons in electromagnetic calorimeters, enabling direct me…
physics.ins-det2026
Hyperon-Nucleon Spectrometer
Xiaozhi Bai, Xu Cao, Zhe Cao +237
Chirality lies at the heart of low-energy QCD, governing the symmetry structure that shapes hadron masses and strong interaction dynamics. Among the most compelling open questions…