Aachen 2019 – wissenschaftliches Programm
T 29.1: Vortrag
Dienstag, 26. März 2019, 16:00–16:15, H06
Reconstruction of Muons with Recurrent Neural Networks for the IceCube Experiment — •Gerrit Wrede, Gisela Anton, and Thorsten Glüsenkamp for the IceCube collaboration — Erlangen Centre for Astroparticle Physics, Erlangen, Germany
The IceCube neutrino observatory is searching for point sources in the astrophysical neutrino flux. Relativistic muons created by muon neutrinos offer a good angular resolution and are thus an ideal channel for the detection of point sources. Recurrent neural networks are a class of artificial neural networks designed to handle time series data, such as the signatures created by muons traveling through the IceCube detector. In this talk, I will present an approach to use recurrent neural networks for muon reconstruction in IceCube.