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T: Fachverband Teilchenphysik

T 38: Data analysis, information technology II

T 38.1: Vortrag

Dienstag, 16. März 2021, 16:00–16:15, Tm

Composition Study of Cosmic Rays with IceCube Observa-tory using Graph Neural Networks — •Paras Koundal for the IceCube collaboration — Institute for Astroparticle Physics, Karlsruhe Institute of Technology, Germany

Concealed deep under the South Pole Antarctic Ice, the IceCube Observatory is a large-scale physics detector used to capture high-energy particles from cosmic events and provide us with new insights into their fundamental behaviour. Besides its principle usage and merits in neutrino astronomy, IceCube is also used for cosmic-ray detection.

The information about the cosmic-ray induced high-energy muons detected primarily in the in-ice part of the IceCube detector and the induced electromagnetic component, detected at the corresponding surface array called IceTop, has proven to be useful for cosmic-ray studies. However, their composition analysis are still prone to large systematic uncertainties. There is a significant dependence of expected particle-flux and primary-particle mass on the hadronic-interaction model one chooses to interpret the air-shower measurements. This talk discusses the ongoing progress made to establish a consistent framework using full event-signal information, for an improved cosmic-ray spectrum analysis in the transition region from Galactic to extragalactic sources, using advanced techniques in Graph Neural Networks. This is a significant progress over the previous analysis which relied primarily on signal information from IceTop. This will help establish IceCube as a unique three-dimensional cosmic-ray detector, providing improved sensitivities for detailed physics analysis.