2019
DOI: 10.1093/mnras/stz263
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Cosmic-ray hydrodynamics: Alfvén-wave regulated transport of cosmic rays

Abstract: Star formation in galaxies appears to be self-regulated by energetic feedback processes. Among the most promising agents of feedback are cosmic rays (CRs), the relativistic ion population of interstellar and intergalactic plasmas. In these environments, energetic CRs are virtually collisionless and interact via collective phenomena mediated by kinetic-scale plasma waves and large-scale magnetic fields. The enormous separation of kinetic and global astrophysical scales requires a hydrodynamic description. Here,… Show more

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Cited by 109 publications
(136 citation statements)
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References 91 publications
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“…This leads to unphysical oscillations of the solution and small time steps especially near cosmic ray pressure maxima if not addressed in form of regularization techniques -such as replacing the sign function with the hyperbolic tangent function that ensures a smooth dependence of the streaming velocity on cosmic rays and gas properties 219,226,227 , albeit at the expense of a dependence of the solution on a numerical parameter. An elegant solution of this problem is to replace the equation for the cosmic ray energy by two equations for cosmic ray energy and flux that are coupled to the MHD system of equations 228,229 . This two-moment formulation can be derived from quasi-linear theory of cosmic ray transport and describes 15/34 cosmic ray streaming and diffusion self-consistently with a hyperbolic set of equations, which also contains the evolution equations for Alfvén waves that are self-generated by the streaming cosmic rays 229 .…”
Section: Modeling Cosmic Magnetic Fieldsmentioning
confidence: 99%
“…This leads to unphysical oscillations of the solution and small time steps especially near cosmic ray pressure maxima if not addressed in form of regularization techniques -such as replacing the sign function with the hyperbolic tangent function that ensures a smooth dependence of the streaming velocity on cosmic rays and gas properties 219,226,227 , albeit at the expense of a dependence of the solution on a numerical parameter. An elegant solution of this problem is to replace the equation for the cosmic ray energy by two equations for cosmic ray energy and flux that are coupled to the MHD system of equations 228,229 . This two-moment formulation can be derived from quasi-linear theory of cosmic ray transport and describes 15/34 cosmic ray streaming and diffusion self-consistently with a hyperbolic set of equations, which also contains the evolution equations for Alfvén waves that are self-generated by the streaming cosmic rays 229 .…”
Section: Modeling Cosmic Magnetic Fieldsmentioning
confidence: 99%
“…2. The streaming + diffusion model uses the more accurate description for CR transport of Thomas & Pfrommer (2019), which evolves the CR energy and momentum density. In addition, the energy contained in gyroresonant Alfvén waves is evolved and coupled to CRs using quasi-linear theory of CR transport.…”
Section: Hydrodynamic Flux Tube Model For Radio Harpsmentioning
confidence: 99%
“…In addition, the energy contained in gyroresonant Alfvén waves is evolved and coupled to CRs using quasi-linear theory of CR transport. We only consider non-linear Landau damping of Alfvén waves (see Thomas & Pfrommer 2019). The initial CR energy flux is chosen so that CRs stream with v a .…”
Section: Hydrodynamic Flux Tube Model For Radio Harpsmentioning
confidence: 99%
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“…A further simplification for numerical models is a grey approach, in which the distribution function times the kinetic energy per particle is integrated over momentum space and the resulting CR energy density is evolved in time and space. Recently, Jiang & Oh (2018) and Thomas & Pfrommer (2019) extended the traditional one-moment schemes in the scattering angle to two-moment descriptions that include a more self-consistent coupling of CRs to the plasma and captures streaming and diffusion relative to the gas rest frame.…”
Section: Introductionmentioning
confidence: 99%