2024
DOI: 10.1051/epjconf/202429509006
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BESIII track reconstruction algorithm based on machine learning

Xiaoqian Jia,
Xiaoshuai Qin,
Teng Li
et al.

Abstract: Track reconstruction is one of the most important and challenging tasks in the offline data processing of collider experiments. For the BESIII detector working in the tau-charm energy region, plenty of efforts were made previously to improve the tracking performance with traditional methods, such as template matching and Hough transform etc. However, for difficult tracking tasks, such as the tracking of low momentum tracks, tracks from secondary vertices and tracks with high noise level, there is still large r… Show more

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