First attempt of directionality reconstruction for atmospheric neutrinos in a large homogeneous liquid scintillator detector
Zekun Yang, J. C. Liu, Hongyue Duyang, Wanlei Guo, Xinhai He, Yuxiang Hu, Teng Li, Zhen Liu, W. Luo, Xiaojie Luo, W. Y., Xiaohan Tan, Fanrui Zeng, Y. P. Zhang
Abstract
The directionality information of incoming neutrinos is essential to atmospheric neutrino oscillation analysis since it is directly related to the oscillation baseline length. Large homogeneous liquid scintillator detectors, while offering excellent energy resolution, are traditionally very limited in their capabilities of measuring event directionality. In this paper, we present a novel directionality reconstruction method for atmospheric neutrino events in large homogeneous liquid scintillator detectors based on waveform analysis and machine learning techniques. We demonstrate for the first time that such detectors can achieve good direction resolution and potentially play an important role in future atmospheric neutrino oscillation measurements. Published by the American Physical Society 2024