Papers › CRPropa 3.1 -- A low energy extension based on stochastic differential equations

CRPropa 3.1 -- A low energy extension based on stochastic differential equations

24 Apr 2017arXiv:1704.07484links table onlyarchive 2025-07-28

Lukas Merten, Julia Becker Tjus, Horst Fichtner, Björn Eichmann, Günter Sigl

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The propagation of charged cosmic rays through the Galactic environment influences all aspects of the observation at Earth. Energy spectrum, composition and arrival directions are changed due to deflections in magnetic fields and interactions with the interstellar medium. Today the transport is simulated with different simulation methods either based on the solution of a transport equation (multi-particle picture) or a solution of an equation of motion (single-particle picture). We developed a new module for the publicly available propagation software CRPropa 3.1, where we implemented an algorithm to solve the transport equation using stochastic differential equations. This technique allows us to use a diffusion tensor which is anisotropic with respect to an arbitrary magnetic background field. The source code of CRPropa is written in C++ with python steering via SWIG which makes it easy to use and computationally fast. In this paper, we present the new low-energy propagation code together with validation procedures that are developed to proof the accuracy of the new implementation. Furthermore, we show first examples of the cosmic ray density evolution, which depends strongly on the ratio of the parallel κ_∥ and perpendicular κ_⊥ diffusion coefficients. This dependency is systematically examined as well the influence of the particle rigidity on the diffusion process.

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anastasiiayovych/CRPropa3 mentioned on GitHub report
juliaebeling/CRPropa3 mentioned on GitHub report
juliaebeling/JulienCRP mentioned on GitHub report

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