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T: Fachverband Teilchenphysik

T 80: Cosmic Rays IV

T 80.7: Vortrag

Donnerstag, 3. April 2025, 17:45–18:00, VG 3.102

An approach to classify the prompt neutrino component of cosmic ray showers with IceCube. — •Roman Peschin — TU Dortmund University, Dortmund, Germany

The earth's atmosphere is like a translucid veil. It is nearly transparent for the human eye, but not to high-energy cosmic particles. Our atmosphere allows these particles to interact with the air molecules, which then produce a cascade of secondary particles. Prompt neutrinos are one component of these cosmic ray showers and dominante in the energy regimes above roughly 20 TeV for electron neutrinos and above about 1 PeV for muon neutrinos. While conventional neutrinos are mainly produced by pions and kaons, prompt neutrinos originate from the decay of charmed mesons.

The IceCube Neutrino Observatory is a cubic kilometer neutrino detector located at the South Pole that is constantly gaining information about the outter space. Besides the intended detection of astrophysical neutrinos, IceCube is particularly sensitive to secondary particles, like muons, from cosmic ray showers. These muons behave like a background noise for neutrino detection and are the main challenge for the classification of the prompt neutrino component.

For that purpose we use a deep neural network as an attempt to seperate the prompt element from the muon background. One approach is to look for coincident events produced by the same cosmic ray shower. The final goal is to improve the classification of the prompt neutrinos, leading to a better understanding of the composition of cosmic rays and the mechanisms of neutrino production.

Keywords: Cosmic Rays; IceCube Neutrino Observatory; Prompt Neutrinos; Machine Learning; Selection