2019
DOI: 10.1063/1.5099360
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Role of magnetic field curvature in magnetohydrodynamic turbulence

Abstract: Magnetic field are transported and tangled by turbulence, even as they lose identity due to nonideal or resistive effects. On balance field lines undergo stretch-twist-fold processes. The curvature field, a scalar that measures the tangling of the magnetic field lines, is studied in detail here, in the context of magnetohydrodynamic turbulence. A central finding is that the magnitudes of the curvature and the magnetic field are anti-correlated. High curvature co-locates with low magnetic field, which gives ris… Show more

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Cited by 26 publications
(35 citation statements)
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References 44 publications
(52 reference statements)
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“…The probability distribution function shown in figure 2, exhibits two distinct powerlaw regimes: at low values of the curvature field, its distribution scales as κ +1 , while at high curvature values the distribution behaves as κ −2.5 . This is remarkably similar to the empirical and theoretical findings of Yang et al (2019). To further clarify the statistics of the magnetic curvature, Figure 3 shows the joint distributions of curvature and squared magnetic field magnitude, and curvature and normal force.…”
Section: Mms Observationssupporting
confidence: 84%
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“…The probability distribution function shown in figure 2, exhibits two distinct powerlaw regimes: at low values of the curvature field, its distribution scales as κ +1 , while at high curvature values the distribution behaves as κ −2.5 . This is remarkably similar to the empirical and theoretical findings of Yang et al (2019). To further clarify the statistics of the magnetic curvature, Figure 3 shows the joint distributions of curvature and squared magnetic field magnitude, and curvature and normal force.…”
Section: Mms Observationssupporting
confidence: 84%
“…Here, we extend this statistical examination of magnetic curvature by analysis of in situ satellite observations in the terrestrial magnetosheath. We employ Magnetospheric Multiscale (MMS) data that reveal distributions and correlations that are consistent with, and in fact very similar to, those observed in the MHD simulations (Yang et al, 2019). These results confirm the theoretical model given in Yang et al (2019), opening the door to new applications such as curvature drift acceleration in turbulence as well as the possible role of local explosive instabilities in turbulence.…”
Section: Introductionsupporting
confidence: 75%
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