31 January 2022 to 3 February 2022
Embassy Suites by Hilton Newark Wilmington South
US/Eastern timezone

Air shower reconstruction using a Graph Neural Network for the IceAct telescopes

1 Feb 2022, 14:30
Embassy Suites by Hilton Newark Wilmington South

Embassy Suites by Hilton Newark Wilmington South

Talks and breaks will be in the hotel. Dinner (Wednesday evening): Gelato Restaurant, Main Street Everything is in Newark DE (= Delaware; do not go to any other Newark elsewhere).
Talk Tuesday


Larissa Paul (Marquette University)


The IceAct telescopes are prototype Imaging Air Cherenkov telescopes (IACTs) situated at the IceCube Neutrino Observatory at the geographic South Pole. The telescopes camera consist of 61 silicon photomultipliers  (SiPMs) with a hexagonal light guide glued to each SiPM. The IceAct telescopes measure the electromagnetic air shower component of cosmic rays in the atmosphere, which is complementary to the muonic component measured by the IceCube in-ice detector and the particle footprint measured at the surface by IceTop.  The shape of the events and the number of SiPMs hit per event within the IceAct telescopes, and the possibility of combining information from different detector components, makes the IceAct data a perfect candidate for a reconstruction of particle type and energy using a graph neural network (gnn). In contrast to other neural networks, gnns do not need a fixed structure between the nodes, the number nodes can differ between events and the connection between the nodes can be defined individually for each pair of nodes. A Monte Carlo study for a first gnn reconstruction of air shower events with the IceAct telescopes will be presented.

Type of Contribution talk

Primary author

Larissa Paul (Marquette University)


Thomas Bretz (RWTH Aachen University) John Hewitt (University of North Florida) Adrian Zink (Friedrich-Alexander-Universität Erlangen) The IceCube Collaboration

Presentation Materials