Magnetosheath and solar wind turbulence processes features identification
Andrew Prokhorenkov, L.V. Kozak, A. T. Y. Lui
Abstract
Open-access reader
Andrew Prokhorenkov, L.V. Kozak, A. T. Y. Lui
Abstract
Open-access reader
A different kind of analysis should be applied to a turbulent process, than that applied to a nondisturbed medium. In this work we present the result of extended self-similarity analysis (ESS) by comparing between different turbulent models: Kolmogorov K41 model, She-Leveque (isotropic log-Poisson model) of order 3; Iroshnikov-Kraichnan model and Politano-Pouquet model of order 4. Two regimes were observed for large and small timescales: the Gaussian distribution was used for small timescales for magnetic field fluctuation probability distribution function (PDF), and the Lévy distribution was used for large-scale timescale non-Gaussian distributions. The intersection of two asymptotes corresponds to approximately 1 s, which agrees with the ion-cyclotron period.
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A different kind of analysis should be applied to a turbulent process, than that applied to a nondisturbed medium. In this work we present the result of extended self-similarity analysis (ESS) by comparing between different turbulent models: Kolmogorov K41 model, She-Leveque (isotropic log-Poisson model) of order 3; Iroshnikov-Kraichnan model and Politano-Pouquet model of order 4. Two regimes were observed for large and small timescales: the Gaussian distribution was used for small timescales for magnetic field fluctuation probability distribution function (PDF), and the Lévy distribution was used for large-scale timescale non-Gaussian distributions. The intersection of two asymptotes corresponds to approximately 1 s, which agrees with the ion-cyclotron period.
Key concepts: Magnetosheath, Identification (biology), Turbulence, Solar wind, Physics, Astronomy, Environmental science, Magnetopause