A stochastic simulation of the propagation of Galactic cosmic rays reflecting the discreteness of cosmic ray sources. Age and path length distribution
S. Miyake, H. Muraishi, S. Yanagita

TL;DR
This paper models Galactic cosmic ray propagation using a stochastic simulation that accounts for the discrete nature of supernova sources, providing insights into age and path length distributions consistent with observations.
Contribution
It introduces a numerical stochastic method to derive cosmic ray age and path length distributions considering source discreteness, improving upon continuous source models.
Findings
Age and path length distributions are broad and energy-dependent.
Discreteness causes a low-range cutoff in age and path length.
Results align with observed B/C ratio energy dependence.
Abstract
The path length distribution of Galactic cosmic rays (GCRs) is the fundamental ingredient for modeling the propagation process of GCRs based on the so-called weighted slab method. We try to derive this distribution numerically by taking into account the discreteness in both space and time of occurrences of supernova explosions where GCRs are suspected to be born. We solve numerically the stochastic differential equations equivalent to the Parker diffusion-convection equation which describes the propagation process of GCR in the Galaxy. We assume the three-dimensional diffusion is an isotropic one without any free escape boundaries. We ignore any energy change of GCRs and the existence of the Galactic wind for simplicity. We also assume axisymmetric configurations for the density distributions of the interstellar matter and for the surface density of supernovae. We have calculated age…
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