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Inference of the mass composition of cosmic rays with energies between 3 and 100 EeV using the data of the Pierre Auger Observatory and deep learning
Berenika Čermáková, A. Baluta, Andrej Filipčič, J. P. Lundquist, S. U. Shivashankara, Samo Stanič, Serguei Vorobiov, Danilo Zavrtanik, Marko Zavrtanik
Objavljeni znanstveni prispevek na konferenci
Oznake: ultra-high-energy cosmic rays;extensive air showers;depth of shower maximum;UHECR mass composition;the Pierre Auger Observatory;Auger Surface Detector;Auger Fluorescence Detector;hybrid detection;deep learning;
One of the open questions of astrophysics is the mass composition of ultra-high-energy cosmic rays (UHECRs). The flux of UHECRs is extremely low, demanding large observatories for indirect measurements of cosmic-ray air showers, cascades of secondary particles created by interactions of the ...
Leto: 2025 Vir: Univerza v Novi Gorici (UNG)
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