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- W4306291810 abstract "Abstract In the framework of statistical time series analysis of complex dynamics, we present a multiscale characterization of solar wind turbulence in the near-earth environment. The data analysis, based on the Markov process theory, is meant to estimate the Kramers–Moyal coefficients associated with the measured magnetic field fluctuations. In fact, when the scale-to-scale dynamics can be successfully described as a Markov process, first- and second-order Kramers–Moyal coefficients provide a complete description of the dynamics in terms of Langevin stochastic process. The analysis is carried out using high-resolution magnetic field measurements gathered by Cluster during a fast solar wind period on January 20, 2007. This analysis extends recent findings in the near-Sun environment with the aim of testing the universality of the Markovian nature of the magnetic field fluctuations in the sub-ion/kinetic domain." @default.
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- W4306291810 date "2022-10-15" @default.
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- W4306291810 title "Kramers–Moyal analysis of interplanetary magnetic field fluctuations at sub-ion scales" @default.
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- W4306291810 doi "https://doi.org/10.1007/s12210-022-01108-2" @default.
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