Direction Reconstruction using a CNN for GeV-Scale Neutrinos in IceCube
Abstract
The IceCube Neutrino Observatory observes neutrinos interacting deep within the South Pole ice. It consists of 5,160 digital optical modules embedded within a cubic kilometer of ice, over depths of 1,450 m to 2,450 m. At the lower center of the array is the DeepCore subdetector. Its denser sensor configuration lowers the observable energy threshold to the GeV-scale, facilitating the study of atmospheric neutrino oscillations. The precise reconstruction of neutrino direction is critical in the measurements of oscillation parameters. This work presents a method to reconstruct the zenith angle of GeV-scale events in IceCube by using a convolutional neural network and compares the result to that of the current likelihood-based reconstruction algorithm.
Cite
@article{arxiv.2107.02122,
title = {Direction Reconstruction using a CNN for GeV-Scale Neutrinos in IceCube},
author = {Shiqi Yu},
journal= {arXiv preprint arXiv:2107.02122},
year = {2021}
}
Comments
Presented at the 37th International Cosmic Ray Conference (ICRC 2021). See arXiv:2107.06966 for all IceCube contributions. 8 pages