Dortmund 2021 – scientific programme

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T: Fachverband Teilchenphysik

T 43: Neutrino physics without accelerators II

T 43.7: Talk

Tuesday, March 16, 2021, 17:30–17:45, Tr

GNN-based reconstruction of low-energy IceCube events — •Martin Ha Minh and Janus Gurth for the IceCube collaboration — Technische Universität München

The IceCube Neutrino Observatory is a cubic kilometer scale neutrino detector embedded in the antarctic ice of the South Pole. So far it has been providing globally competitive results in neutrino oscillation physics, such as constraints on atmospheric oscillation parameters or eV-scale sterile neutrinos.

The sparseness of observed charge in the detector for low-energy events, and the irregular detector geometry, have always been a challenge in reconstructing the detected neutrino's parameters of interest. This problem is exacerbated by the planned IceCube Upgrade, which introduces seven new detector strings with novel detector modules. Doing so will increase the detection rate of low-energy events to further constrain neutrino oscillation physics. Here we introduce a novel reconstruction algorithm based on Graph Neural Networks, which we use to reconstruct neutrino events at speeds magnitudes faster than the traditional algorithms, while providing comparable resolution.