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hep-ex2025★ 1 cited
dN/dx Reconstruction with Deep Learning for High-Granularity TPCs
Guang Zhao, Yue Chang, Jinxian Zhang +8
Particle identification (PID) is essential for future particle physics experiments such as the Circular Electron-Positron Collider and the Future Circular Collider. A high-granular…
hep-ex2024★ 3 cited
Cluster Counting Algorithm for the CEPC Drift Chamber using LSTM and DGCNN
Zhefei Tian, Guang Zhao, Linghui Wu +7
The particle identification (PID) of hadrons plays a crucial role in particle physics experiments, especially in flavor physics and jet tagging. The cluster-counting method, which…