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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…
physics.ins-det2025
Photon reconstruction using the Hough transform in imaging calorimeters
Yang Zhang, Shengsen Sun, Weizheng Song +4
Photon reconstruction in calorimeters represents a crucial challenge in particle physics experiments, especially in high-density environments where shower overlapping probabilities…