6 citations · 10 across the 6 of their papers we have counts for
7 papers
Integration and characterization of Readout Electronics System for dN/dx Measurement with Drift Chamber Prototype
Dongcheng Cai, Qicai Li, Mingyi Dong +10
To explore the feasibility of high-precision particle identification using the cluster counting technique for the drift chamber, a dedicated readout electronics system with low noi…
Beam Test Characterization of Silicon Microstrip Detector Flight-Model Ladders for the AMS-02 Upgrade
Dexing Miao, Giovanni Ambrosi, Mattia Barbanera +56
The AMS-02 experiment plans to install a new silicon microstrip tracker layer (Layer-0) on top of the existing detector, increasing the cosmic-ray acceptance by a factor of 3. Laye…
A Telescope System for Charge and Position Measurement of High Energy Nuclei
Dexing Miao, Zhiyu Xiang, Giovanni Ambrosi +43
A high-granularity telescope system with a large sensitive area and low material budget has been developed for high-energy heavy ion beam tests. The telescope consists of nine laye…
Squeezing Edge Performance: A Sensitivity-Aware Container Management for Heterogeneous Tasks
Yongmin Zhang, Pengyu Huang, Mingyi Dong +1
Edge computing enables latency-critical applications to process data close to end devices, yet task heterogeneity and limited resources pose significant challenges to efficient orc…
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…
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…
Peak finding algorithm for cluster counting with domain adaptation
Guang Zhao, Linghui Wu, Francesco Grancagnolo +3
Cluster counting in drift chamber is the most promising breakthrough in particle identification (PID) technique in particle physics experiment. Reconstruction algorithm is one of t…