Graph Neural Networks for Low-Energy Event Classification & Reconstruction in IceCube. (arXiv:2209.03042v3 [hep-ex] UPDATED)

IceCube, a cubic-kilometer array of optical sensors built to detect
atmospheric and astrophysical neutrinos between 1 GeV and 1 PeV, is deployed
1.45 km to 2.45 km below the surface of the ice sheet at the South Pole. The
classification and reconstruction of events from the in-ice detectors play a
central role in the analysis of data from IceCube. Reconstructing and
classifying events is a challenge due to the irregular detector geometry,
inhomogeneous scattering and absorption of light in the …

arxiv classification energy event graph graph neural networks low low-energy networks neural networks