Time calibration of barrel TOF system at BESIII

期刊论文
发表日期：

2024年1月24日

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Zhengyuan Chen,
Shengsen Sun,
Huaimin Liu,
Ziyan Deng,
Gang Li,
Shuopin Wen,
Guang Zhao

摘要

Purpose

In the BESIII experiment, a conventional least square method is currently used to calibrate the time-of-flight (TOF) system, aiming to achieve optimal time resolution. However, it is intricate for conventional methods to handle electronics saturation and boundary effect which affect the time resolution.

Methods

A novel method based on machine learning techniques for time calibration of barrel TOF system is implemented in this paper.

Results and conclusion

With the application of boosted decision tree (BDT) algorithm, the overall time resolution of barrel TOF is found to be 64 ps. Compared with conventional method, a notable improvement in time resolution is achieved in the boundary range of the scintillator bar using BDT method.