Application of machine learning techniques at BESIII experiment
Instrumentation and Detectors
2018-11-16 v1 High Energy Physics - Experiment
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.
Cite
@article{arxiv.1811.06131,
title = {Application of machine learning techniques at BESIII experiment},
author = {Beijiang Liu and Xian Xiong and Guoyi Hou and Shiming Song and Lin Shen},
journal= {arXiv preprint arXiv:1811.06131},
year = {2018}
}
Comments
4 pages, 3 figures, submitted to proceedings of ICHEP2018