Inference of the Mass Composition of Cosmic Rays with Energies from 10^{18.5} to 10^{20}eV Using the Pierre Auger

A Abdul Halim1, P Abreu2, M Aglietta3,4

  • 1University of Adelaide, Adelaide, South Australia, Australia.

Physical Review Letters
|February 6, 2025
PubMed
Summary

Researchers used deep learning to measure the atmospheric depth of shower maximum (Xmax) for cosmic rays. This reveals insights into cosmic ray composition at extreme energies, showing a trend towards heavier and purer elements.

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