2018
DOI: 10.3847/2041-8213/aadb8b
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Dependence of Kinetic Plasma Turbulence on Plasma β

Abstract: We study the effects of plasma β (ratio of plasma pressure to magnetic pressure) on the evolution of kinetic plasma turbulence using fully kinetic particle-in-cell simulations of decaying turbulence. We find that the plasma β systematically affects spectra, measures of intermittency, decay rates of turbulence fluctuations, and partitioning over different channels of energy exchange More specifically, an increase in plasma β leads to greater total heating, with proton heating preferentially more than electrons.… Show more

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Cited by 53 publications
(27 citation statements)
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“…For a given quantity Y (e.g., a component of the magnetic field, bulk velocity field) and a separation length l, the increment, ∆Y , the difference between two points separated by l, has generally a non-Gaussian distribution. This non-Gaussianity is well characterized by the excess kurtosis (flatness) that is close to zero on large scales (compatible with a Gaussian statistics) but it increases as l de-creases in the inertial ranges; behavior of the kurtosis in the sub-ion range is not well known, some results indicate that it further increases (e.g., Alexandrova et al 2008;Franci et al 2015) but some observations and numerical simulations indicate that the kurtosis saturates and even decreases in the sub-ion range (e.g., Wu et al 2013;Parashar et al 2018). The non-Gaussian statistics with extreme values is often associated with localized/coherent structures that appear to be important for the particle energization (Matthaeus et al 2015); these energization/dissipation processes could be responsible for the decrease of the kurtosis.…”
Section: Introductionmentioning
confidence: 93%
“…For a given quantity Y (e.g., a component of the magnetic field, bulk velocity field) and a separation length l, the increment, ∆Y , the difference between two points separated by l, has generally a non-Gaussian distribution. This non-Gaussianity is well characterized by the excess kurtosis (flatness) that is close to zero on large scales (compatible with a Gaussian statistics) but it increases as l de-creases in the inertial ranges; behavior of the kurtosis in the sub-ion range is not well known, some results indicate that it further increases (e.g., Alexandrova et al 2008;Franci et al 2015) but some observations and numerical simulations indicate that the kurtosis saturates and even decreases in the sub-ion range (e.g., Wu et al 2013;Parashar et al 2018). The non-Gaussian statistics with extreme values is often associated with localized/coherent structures that appear to be important for the particle energization (Matthaeus et al 2015); these energization/dissipation processes could be responsible for the decrease of the kurtosis.…”
Section: Introductionmentioning
confidence: 93%
“…Grošelj et al. 2017; Guo, Sironi & Narayan 2017; Parashar, Matthaeus & Shay 2018; Arzamasskiy et al. 2019; Cerri, Grošelj & Franci 2019; Kawazura et al.…”
Section: Theory Of the Kaufmann And Paterson Non-maxwellianitymentioning
confidence: 99%
“…Q T (r) is the turbulent heating, which is apportioned between protons and electrons according to the fraction f p that must be determined by kinetic physics considerations. Recent kinetic plasma simulation and theory provide predictions for f p , which increases with turbulence amplitude (Wu et al 2013;Matthaeus et al 2016a;Gary et al 2016) and also depends on the plasma β (Parashar et al 2018;Kawazura et al 2019). Note that the turbulent heating depends on position r.…”
Section: Solar Wind Model and Turbulence Transport Modelmentioning
confidence: 99%