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arXiv · 2206.11498

Kramers-Moyal analysis of interplanetary magnetic field fluctuations at sub-ion scales

Simone Benella·Mirko Stumpo·Giuseppe Consolini·Tommaso Alberti·Monica Laurenza·Emiliya Yordanova
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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 by 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.

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Simone Benella, Mirko Stumpo, Giuseppe Consolini, Tommaso Alberti, Monica Laurenza, Emiliya Yordanova. 2022-10-03. Kramers-Moyal analysis of interplanetary magnetic field fluctuations at sub-ion scales. https://arxiv.org/abs/2206.11498

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