Direction reconstruction using a CNN for GeV-scale neutrinos in IceCube

• Published in: Journal of Instrumentation
• Main Author: Yu, S.
• Format: Article in Journal/Newspaper
• Language: unknown
• Published: IOP Publishing 2021
• Subjects: South Pole; Ice Sheet; South pole
• Online Access: http://dx.doi.org/10.1088/1748-0221/16/11/c11001; https://iopscience.iop.org/article/10.1088/1748-0221/16/11/C11001; https://iopscience.iop.org/article/10.1088/1748-0221/16/11/C11001/pdf

Abstract The IceCube Neutrino Observatory is designed to observe neutrinos interacting deep within the South Pole ice sheet. It consists of 5160 digital optical modules, which are arrayed over a cubic kilometer from 1450 m to 2450 m depth. At the lower center of the array is the DeepCore subdetector. It has a denser configuration which lowers the observable energy threshold to about 10 GeV and creates the opportunity to study neutrino oscillations with low energy atmospheric neutrinos. A precise reconstruction of neutrino direction is critical in the measurements of oscillation parameters. In this contribution, I will discuss a method to reconstruct the zenith angle of 10-GeV scale events in IceCube using a convolutional neural network and compare the result to that of the current likelihood-based reconstruction algorithm.