arXiv, 2021
DOI: 10.48550/arxiv.2107.02122
Proceedings of 37th International Cosmic Ray Conference — PoS(ICRC2021), 2021
DOI: 10.22323/1.395.1054
IOP Publishing, Journal of Instrumentation, 11(16), p. C11001, 2021
DOI: 10.1088/1748-0221/16/11/c11001
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.