Graph Neural Networks for low-energy event classification & reconstruction in IceCube
Graph Neural Networks for low-energy event classification & reconstruction in IceCube
Abstract 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 …