English

Dynamics of energetic particles scattered in the solar wind : Magnetohydrodynamics and test-particle simulations

Solar and Stellar Astrophysics 2025-02-19 v3 Plasma Physics Space Physics

Abstract

We model the transport of solar energetic particles (SEPs) in the solar wind. We propagated relativistic test particles in the field of a steady three-dimensional magnetohydrodynamic simulation of the solar wind. We used the code MPI-AMRVAC for the wind simulations and integrated the relativistic guiding center equations using a new third-order-accurate predictor-corrector time-integration scheme. Turbulence-induced scattering of the particle trajectories in velocity space was taken into account through the inclusion of a constant field-aligned scattering mean free path λ\lambda_\parallel. We considered mid-range SEP electrons of 81keV81\:{\rm keV} injected into the solar wind at a heliocentric distance of 0.28 AU and a magnetic latitude of 2424^{\circ}. For λ=0.5AU\lambda_\parallel =0.5\:{\rm AU}, the simulated velocity pitch angle distributions agree qualitatively well with in situ measurements at 1 AU. More generally, for λ\lambda_\parallel in the range 0.1 to 1\:AU, an energy-loss rate associated with the velocity drift of about 10%10\% per day is observed. The energy loss is attributable to the magnetic curvature and gradient-induced poleward drifts of the electrons against the dominant component of the electric field. In our case study, which is representative of the average solar wind conditions, the observed drift-induced energy-loss rate is fastest near a heliocentric distance of 1.2 AU. We emphasize that adiabatic cooling is the dominant mechanism during the first 1.5 hours of propagation. Only at later times does the drift-associated loss rate become dominant.

Keywords

Cite

@article{arxiv.2403.06706,
  title  = {Dynamics of energetic particles scattered in the solar wind : Magnetohydrodynamics and test-particle simulations},
  author = {Houeibib Ahmed and Pantellini Filippo and Griton Lea},
  journal= {arXiv preprint arXiv:2403.06706},
  year   = {2025}
}