Phase Mixing and the 1/f Spectrum in the Solar Wind

The origin and evolution of the 1/ f power law observed in the energy spectrum of solar coronal and solar wind fluctuations at scales of around an hour is not entirely understood. Several existing theories aim at explaining it, involving both linear and nonlinear mechanisms. An often overlooked prop...

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Veröffentlicht in:The Astrophysical journal 2022-10, Vol.938 (2), p.98
Hauptverfasser: Magyar, Norbert, Doorsselaere, Tom Van
Format: Artikel
Sprache:eng
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Zusammenfassung:The origin and evolution of the 1/ f power law observed in the energy spectrum of solar coronal and solar wind fluctuations at scales of around an hour is not entirely understood. Several existing theories aim at explaining it, involving both linear and nonlinear mechanisms. An often overlooked property of the solar corona and solar wind is their highly inhomogeneous nature. In this paper we investigate the linear evolution of pure Alfvén and surface Alfvén waves propagating through a plasma that is inhomogeneous across the magnetic field. The inhomogeneity is given by density, which we model to be 2D colored noise, with power spectral slopes ranging from −2 to −1. Alfvén waves propagate independently on individual magnetic field lines, and eventually get completely out of phase through the process of phase mixing, leading to unrealistic spectra. When the coupling between the inhomogeneous background and the propagating waves is fully accounted for, transverse waves such as surface Alfvén waves (also referred to as kink or Alfvénic) appear, showing collective wave behavior of neighboring magnetic field lines with different Alfvén speeds. We show that the linear cascade of surface Alfvén wave energy, induced by phase mixing and resonant absorption, leads to a perpendicular wave energy spectrum, which tends to the perpendicular power spectrum of the background density. Based on our model, we propose that a perpendicular density power spectrum of 1/ f in the solar corona can induce, through linear processes, the 1/ f spectrum of the fluctuations that is observed at the largest scales.
ISSN:0004-637X
1538-4357
DOI:10.3847/1538-4357/ac8b81