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Simulations of cosmic ray propagation

We review numerical methods for simulations of cosmic ray (CR) propagation on galactic and larger scales. We present the development of algorithms designed for phenomenological and self-consistent models of CR propagation in kinetic description based on numerical solutions of the Fokker–Planck equat...

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Detalles Bibliográficos
Autores principales: Hanasz, Michał, Strong, Andrew W., Girichidis, Philipp
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8550107/
https://www.ncbi.nlm.nih.gov/pubmed/34722864
http://dx.doi.org/10.1007/s41115-021-00011-1
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author Hanasz, Michał
Strong, Andrew W.
Girichidis, Philipp
author_facet Hanasz, Michał
Strong, Andrew W.
Girichidis, Philipp
author_sort Hanasz, Michał
collection PubMed
description We review numerical methods for simulations of cosmic ray (CR) propagation on galactic and larger scales. We present the development of algorithms designed for phenomenological and self-consistent models of CR propagation in kinetic description based on numerical solutions of the Fokker–Planck equation. The phenomenological models assume a stationary structure of the galactic interstellar medium and incorporate diffusion of particles in physical and momentum space together with advection, spallation, production of secondaries and various radiation mechanisms. The self-consistent propagation models of CRs include the dynamical coupling of the CR population to the thermal plasma. The CR transport equation is discretized and solved numerically together with the set of MHD equations in various approaches treating the CR population as a separate relativistic fluid within the two-fluid approach or as a spectrally resolved population of particles evolving in physical and momentum space. The relevant processes incorporated in self-consistent models include advection, diffusion and streaming propagation as well as adiabatic compression and several radiative loss mechanisms. We discuss, applications of the numerical models for the interpretation of CR data collected by various instruments. We present example models of astrophysical processes influencing galactic evolution such as galactic winds, the amplification of large-scale magnetic fields and instabilities of the interstellar medium.
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spelling pubmed-85501072021-10-29 Simulations of cosmic ray propagation Hanasz, Michał Strong, Andrew W. Girichidis, Philipp Living Rev Comput Astrophys Review Article We review numerical methods for simulations of cosmic ray (CR) propagation on galactic and larger scales. We present the development of algorithms designed for phenomenological and self-consistent models of CR propagation in kinetic description based on numerical solutions of the Fokker–Planck equation. The phenomenological models assume a stationary structure of the galactic interstellar medium and incorporate diffusion of particles in physical and momentum space together with advection, spallation, production of secondaries and various radiation mechanisms. The self-consistent propagation models of CRs include the dynamical coupling of the CR population to the thermal plasma. The CR transport equation is discretized and solved numerically together with the set of MHD equations in various approaches treating the CR population as a separate relativistic fluid within the two-fluid approach or as a spectrally resolved population of particles evolving in physical and momentum space. The relevant processes incorporated in self-consistent models include advection, diffusion and streaming propagation as well as adiabatic compression and several radiative loss mechanisms. We discuss, applications of the numerical models for the interpretation of CR data collected by various instruments. We present example models of astrophysical processes influencing galactic evolution such as galactic winds, the amplification of large-scale magnetic fields and instabilities of the interstellar medium. Springer International Publishing 2021-07-26 2021 /pmc/articles/PMC8550107/ /pubmed/34722864 http://dx.doi.org/10.1007/s41115-021-00011-1 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Review Article
Hanasz, Michał
Strong, Andrew W.
Girichidis, Philipp
Simulations of cosmic ray propagation
title Simulations of cosmic ray propagation
title_full Simulations of cosmic ray propagation
title_fullStr Simulations of cosmic ray propagation
title_full_unstemmed Simulations of cosmic ray propagation
title_short Simulations of cosmic ray propagation
title_sort simulations of cosmic ray propagation
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8550107/
https://www.ncbi.nlm.nih.gov/pubmed/34722864
http://dx.doi.org/10.1007/s41115-021-00011-1
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