Issue |
EPJ Web Conf.
Volume 283, 2023
Ultra High Energy Cosmic Rays (UHECR 2022)
|
|
---|---|---|
Article Number | 04012 | |
Number of page(s) | 5 | |
Section | UHECR Sources, Acceleration Mechanisms and Multi-Messenger Astrophysics | |
DOI | https://doi.org/10.1051/epjconf/202328304012 | |
Published online | 28 April 2023 |
https://doi.org/10.1051/epjconf/202328304012
Ultra-High-Energy Cosmic Rays from a Population of Non-identical Sources
1 Institutt for fysikk, Norwegian University of Science and Technology (NTNU), Trondheim, Norway
2 Institute for Astroparticle Physics, Karlsruhe Institute of Technology (KIT), Karlsruhe, Germany
* Corresponding author: domenik.ehlert@ntnu.no
Published online: 28 April 2023
Astrophysical candidates for the sources of ultra-high-energy cosmic rays (UHECRs) exhibit a large diversity in terms of their properties relevant for the acceleration of charged particles, such as luminosity, Lorentz factor, size and magnetic field. Yet, fits of the observed UHECR spectrum and composition often assume identical sources. Here we investigate a population of sources with a power-law distribution of maximum energies. We show that the allowed source-to-source variance of the maximum energy must be small to describe the UHECR data. Even in the most extreme scenario, with a very sharp cutoff of individual source spectra and negative redshift evolution of the accelerators, the maximum energies of 90% of sources must be identical within a factor of three – in contrast to the variance expected for astrophysical sources. However, the overall population variance can be large when maximum rigidities are distributed as a broken power law, with a steep decline above the break and with hard source spectra. In this scenario, most of the observed UHECR flux is produced by sources near the break.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.