Volume 340 - The 39th International Conference on High Energy Physics (ICHEP2018) - Parallel: Computing and Data Handling
Application of machine learning techniques at BESIII experiment
B. Liu*, X. Xiong, G. Hou, S. Song and L. Shen
*: corresponding author
Full text: pdf
Supplementary files:
Published on: August 02, 2019
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.
DOI: https://doi.org/10.22323/1.340.0160
How to cite

Metadata are provided both in article format (very similar to INSPIRE) as this helps creating very compact bibliographies which can be beneficial to authors and readers, and in proceeding format which is more detailed and complete.

Open Access
Creative Commons LicenseCopyright owned by the author(s) under the term of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.