A Model for Dissipation of Solar Wind Magnetic Turbulence by Kinetic Alfv\'{e}n Waves at Electron Scales: Comparison with Observations
Anne Schreiner, Joachim Saur

TL;DR
This paper presents an analytic model for solar wind magnetic turbulence dissipation at electron scales, highlighting how kinetic Alfvén wave damping leads to a dissipation length independent of energy flux, contrasting with hydrodynamic turbulence.
Contribution
It introduces a novel dissipation model based on wave-particle interactions of kinetic Alfvén waves, explaining the observed independence of dissipation scale from energy flux in solar wind turbulence.
Findings
Model matches observed spectral densities at electron scales.
Dissipation length remains constant despite varying energy cascade rates.
Wave-driven damping explains the dissipation process in collisionless plasma.
Abstract
In hydrodynamic turbulence, it is well established that the length of the dissipation scale depends on the energy cascade rate, i.e., the larger the energy input rate per unit mass, the more the turbulent fluctuations need to be driven to increasingly smaller scales to dissipate the larger energy flux. Observations of magnetic spectral energy densities indicate that this intuitive picture is not valid in solar wind turbulence. Dissipation seems to set in at the same length scale for different solar wind conditions independently of the energy flux. To investigate this difference in more detail, we present an analytic dissipation model for solar wind turbulence at electron scales, which we compare with observed spectral densities. Our model combines the energy transport from large to small scales and collisionless damping, which removes energy from the magnetic fluctuations in the kinetic…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
