2019
DOI: 10.3847/1538-4357/aafe7f
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The Implications of Simple Estimates of the 2D Outerscale Based on Measurements of Magnetic Islands for the Modulation of Galactic Cosmic-Ray Electrons

Abstract: The behavior of the 2D turbulence power spectrum at the lowest wavenumbers has a significant effect on the perpendicular diffusion coefficients of charged particles in the heliosphere derived from various scattering theories, and subsequently used to model the transport of cosmic rays (CRs) and solar energetic particles. In this regard, the lengthscale at which the energy-containing range begins, as opposed to that at which the inertial range commences, is of particular interest. This 2D outerscale has, howeve… Show more

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Cited by 24 publications
(12 citation statements)
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References 75 publications
(145 reference statements)
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“…This was usually done by comparing computed with measured electron intensities at Earth during periods of good or bad magnetic connection. Furthermore, given the demonstrated sensitivity of computed low-energy galactic electron intensities to various turbulence quantities (see Engelbrecht & Burger 2010Engelbrecht 2019), it may be possible to draw conclusions from Jovian electrons to better understand the behaviour of those quantities in regions of the heliosphere where spacecraft observations of this character do not exist (see, e.g., Engelbrecht 2017). Since these transport parameters and the diffusion coefficients they depend on are spatially dependent, the time that particles reside in a certain part of the heliosphere may yield significant insights to the modulation of GCRs as well.…”
Section: Jovian Electrons As Test Particlesmentioning
confidence: 99%
“…This was usually done by comparing computed with measured electron intensities at Earth during periods of good or bad magnetic connection. Furthermore, given the demonstrated sensitivity of computed low-energy galactic electron intensities to various turbulence quantities (see Engelbrecht & Burger 2010Engelbrecht 2019), it may be possible to draw conclusions from Jovian electrons to better understand the behaviour of those quantities in regions of the heliosphere where spacecraft observations of this character do not exist (see, e.g., Engelbrecht 2017). Since these transport parameters and the diffusion coefficients they depend on are spatially dependent, the time that particles reside in a certain part of the heliosphere may yield significant insights to the modulation of GCRs as well.…”
Section: Jovian Electrons As Test Particlesmentioning
confidence: 99%
“…The 2D turbulence power spectrum behavior at the lowest wavenumber, i.e., the outer scale, has an important impact on the perpendicular diffusion coefficients of charged particles in the heliosphere [146,193,194], including galactic cosmic ray proton and electron intensities. Engelbrecht et al [193] calculated the galactic cosmic ray electron intensities using the observed size of magnetic islands [195,196], and different outer scales [136,145], finding that galactic cosmic ray electron differential intensities above kinetic energy 0.1 GeV are closer to the observed electron differential intensities, and lower than that below 0.1 GeV. Similarly, Engelbrecht et al [194] proposed a new method to calculate the perpendicular diffusion coefficients by using the random ballistic decorrelation interpretation of the NLGC theory proposed by Ruffolo et al [197].…”
Section: Cr Perpendicular Mean Free Pathmentioning
confidence: 99%
“…For the purposes of the present study, these simplified transport parameters serve to qualitatively emulate the behaviour in the inner heliosphere of more theoretically-motivated expressions for the same employed in ab initio particle transport studies (see, e.g., Engelbrecht & Burger 2013;Engelbrecht 2019). For instance, the energy-independence of λ over the range of (low) energies considered in this study reflects the behaviour of electron parallel mean free paths derived from quasilinear theory (see, e.g., Teufel & Schlickeiser 2003;Engelbrecht & Burger 2010;Dempers & Engelbrecht 2020), as well as what is expected from observations (e.g.…”
Section: The Numerical Setupmentioning
confidence: 99%