Göttingen 2025 – wissenschaftliches Programm

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T: Fachverband Teilchenphysik

T 75: Neutrino Astronomy IV

T 75.7: Vortrag

Donnerstag, 3. April 2025, 17:45–18:00, VG 1.105

Advanced Northern Tracks Selection using a Graph Convolutional Neural Network for the IceCube Neutrino Observatory: Energy Reconstruction — •Lasse Düser, Philipp Behrens, Jakob Böttcher, Shuyang Deng, Philipp Fürst, Leon Hamacher, Michael Handt, Lars Marten, Philipp Soldin, and Christopher Wiebusch for the IceCube collaboration — III. Physikalisches Institut, RWTH Aachen University, D-52056 Aachen, Germany

The IceCube Neutrino Observatory is a detector located at the geographic South Pole, consisting of more than 5000 photomultipliers (PMTs). These PMTs detect Cherenkov radiation, produced by muons induced by charged current neutrino interactions, within the instrumented ice. The identification of neutrino-induced through-going muon tracks is performed by the newly developed Advanced Northern Tracks Selection (ANTS) using a graph convolutional neural network that encodes the spatial geometry of the PMTs. A significant advantage of this network architecture is utilizing the full event information, enabling an improved reconstruction of event features like neutrino energy. This talk discusses the network's performance and compares it to existing energy reconstruction methods. The reconstruction is evaluated with respect to resolution, direction, and computational efficiency across various event topologies.

Keywords: IceCube; Advanced Northern Tracks Selection; Neutrino Astronomy; Deep Learning