pith. sign in

Simulations of Ion Acceleration at Non-relativistic Shocks. III. Particle Diffusion

3 Pith papers cite this work. Polarity classification is still indexing.

3 Pith papers citing it
abstract

We use large hybrid (kinetic protons-fluid electrons) simulations to investigate the transport of energetic particles in self-consistent electromagnetic configurations of collisionless shocks. In previous papers of this series, we showed that ion acceleration may be very efficient (up to $10-20\%$ in energy), and outlined how the streaming of energetic particles amplifies the upstream magnetic field. Here, we measure particle diffusion around shocks with different strengths, finding that the mean free path for pitch-angle scattering of energetic ions is comparable with their gyroradii calculated in the self-generated turbulence. For moderately-strong shocks, magnetic field amplification proceeds in the quasi-linear regime, and particles diffuse according to the self-generated diffusion coefficient, i.e., the scattering rate depends only on the amount of energy in modes with wavelengths comparable with the particle gyroradius. For very strong shocks, instead, the magnetic field is amplified up to non-linear levels, with most of the energy in modes with wavelengths comparable to the gyroradii of highest-energy ions, and energetic particles experience Bohm-like diffusion in the amplified field. We also show how enhanced diffusion facilitates the return of energetic particles to the shock, thereby determining the maximum energy that can be achieved in a given time via diffusive shock acceleration. The parametrization of the diffusion coefficient that we derive can be used to introduce self-consistent microphysics into large-scale models of cosmic ray acceleration in astrophysical sources, such as supernova remnants and clusters of galaxies.

citation-role summary

background 1

citation-polarity summary

years

2026 3

verdicts

UNVERDICTED 3

roles

background 1

polarities

background 1

representative citing papers

Little Red Dots as Hidden Neutrino Sources

astro-ph.HE · 2026-01-16 · unverdicted · novelty 7.0

Little Red Dots can contribute ~30% of the diffuse neutrino background at TeV-sub-PeV energies through photomeson production in black hole envelopes, with modified flavor ratios at higher energies.

SN 1006: A Cosmic Laboratory for Investigating Shock Acceleration Physics

astro-ph.HE · 2026-06-10 · unverdicted · novelty 5.0

A self-consistent multi-zone kinetic model reproduces SN 1006's spectrum and morphology, finding ~20% CR acceleration efficiency in quasi-parallel shocks, <1% in quasi-perpendicular shocks, and predominantly leptonic gamma-ray emission.

Transport of electrons in tangled magnetic fields

physics.space-ph · 2026-05-05 · unverdicted · novelty 2.0

This review summarizes the basic principles of electron transport in inhomogeneous and tangled magnetic fields through gyro-centre trajectories, kinetic instabilities, trapping, and diffusion processes.

citing papers explorer

Showing 3 of 3 citing papers.

  • Little Red Dots as Hidden Neutrino Sources astro-ph.HE · 2026-01-16 · unverdicted · none · ref 90 · internal anchor

    Little Red Dots can contribute ~30% of the diffuse neutrino background at TeV-sub-PeV energies through photomeson production in black hole envelopes, with modified flavor ratios at higher energies.

  • SN 1006: A Cosmic Laboratory for Investigating Shock Acceleration Physics astro-ph.HE · 2026-06-10 · unverdicted · none · ref 90 · internal anchor

    A self-consistent multi-zone kinetic model reproduces SN 1006's spectrum and morphology, finding ~20% CR acceleration efficiency in quasi-parallel shocks, <1% in quasi-perpendicular shocks, and predominantly leptonic gamma-ray emission.

  • Transport of electrons in tangled magnetic fields physics.space-ph · 2026-05-05 · unverdicted · none · ref 61 · internal anchor

    This review summarizes the basic principles of electron transport in inhomogeneous and tangled magnetic fields through gyro-centre trajectories, kinetic instabilities, trapping, and diffusion processes.