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arXiv · 1811.06131

Application of machine learning techniques at BESIII experiment

Beijiang Liu·Xian Xiong·Guoyi Hou·Shiming Song·Lin Shen
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Abstract

BESIII is a currently running tau-charm factory with the largest samples of on threshold charm meson pairs, directly produced charmonia and some other unique datasets at BEPCII collider. Machine learning techniques have been employed to improve the performance of BESIII software. The studies for reweighing MC, particle identification and cluster reconstruction for the CGEM (Cylindrical Gas Electron Multiplier) inner tracker are presented.

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Beijiang Liu, Xian Xiong, Guoyi Hou, Shiming Song, Lin Shen. 2018-11-15. Application of machine learning techniques at BESIII experiment. https://arxiv.org/abs/1811.06131

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