Enhancing the Relative Fe-to-Proton Abundance in Ultra-High-Energy Cosmic Rays
arXiv:1111.1607 · doi:10.1016/j.astropartphys.2011.10.006
Abstract
We study a generic class of models for ultra-high energy cosmic ray (UHECR) phenomenology, in which the sources accelerate protons and nuclei with a power-law spectrum having the same index, but with different values for the maximum proton energies, distributed according to a power-law. We show that, for energies sufficiently lower than the maximum proton energy, such models are equivalent to single-type source models, with a larger effective power law index and a heavier composition at the source. We calculate the resulting enhancement of the abundance of nuclei, and find typical values of a factor 2-10 for Fe nuclei. At the highest energies, the heavy nuclei enhancement ratios become larger, and the granularity of the sources must also be taken into account. We conclude that the effect of a distribution of maximum energies among sources must be considered in order to understand both the energy spectrum and the composition of UHECRs, as measured on Earth.
5 pages, 3 figures
References in corpus (5)
- A dip in the UHECR spectrum and the transition from galactic to extragalactic cosmic rays
- On the transition from Galactic to extragalactic cosmic-rays: spectral and composition features from two opposite scenarios
- Implications of the cosmic ray spectrum for the mass composition at the highest energies
- On the ultra-high energy cosmic ray horizon
- Signatures of the extragalactic cosmic-ray source composition from spectrum and shower depth measurements
Cited by in corpus (6)
- Combined fit of spectrum and composition data as measured by the Pierre Auger Observatory
- Transition from galactic to extragalactic cosmic rays
- Anisotropy expectations for ultra-high-energy cosmic rays with future high statistics experiments
- Energetics of ultrahigh-energy cosmic-ray nuclei
- UHECR: Signatures and Models
- Aspects of astrophysical particle production and beyond the Standard Model phenomenology