27-31 January 2025
University of Delaware
US/Eastern timezone

A graph neural network reconstruction for the IceAct telescopes

29 Jan 2025, 16:00
30m
Clayton Hall (University of Delaware)

Clayton Hall

University of Delaware

Clayton Hall, 100 David Hollowell Dr, Newark, DE 19716, United States
Talk Talks

Speaker

Larissa Paul (South Dakota School of Mines & Technology)

Description

Situated at the geographic South Pole, the imaging air shower telescopes IceAct observe the atmosphere above the IceCube Neutrino Observatory. Therefore, the IceAct telescopes measure the electromagnetic air-shower development complementary to the air shower at the surface with IceTop and the high-energetic muonic component measured by the in-ice detector. Currently, three IceAct telescopes are installed and have shown to operate in the harsh conditions at the South Pole successfully. The telescope camera consists of 61 silicon photomultipliers (SiPMs) with a hexagonal light guide glued to each SiPM. A graph neural network is used to reconstruct the air-shower properties of the camera images. The graph gives great flexibility to do a combined analysis of several telescopes and other detector components. The current status of the reconstruction method is presented.

Type of Contribution talk

Primary author

Larissa Paul (South Dakota School of Mines & Technology)

Presentation Materials