Issue |
A&A
Volume 655, November 2021
|
|
---|---|---|
Article Number | A107 | |
Number of page(s) | 18 | |
Section | The Sun and the Heliosphere | |
DOI | https://doi.org/10.1051/0004-6361/202141902 | |
Published online | 29 November 2021 |
Characterizing current structures in 3D hybrid-kinetic simulations of plasma turbulence
1
Aix-Marseille University, CNRS, PIIM UMR 7345, Marseille, France
e-mail: manuela.sisti@univ-amu.fr
2
Dipartimento di Fisica, Università di Pisa, Pisa, Italy
3
Department of Astrophysical Sciences, Princeton University, 4 Ivy Lane, Princeton, NJ 08544, USA
Received:
29
July
2021
Accepted:
24
September
2021
Context. In space and astrophysical plasmas, turbulence leads to the development of coherent structures characterized by a strong current density and important magnetic shears.
Aims. Using hybrid-kinetic simulations of turbulence (3D with different energy injection scales), we investigate the development of these coherent structures and characterize their shape.
Methods. First, we present different methods to estimate the overall shape of the 3D structure using local measurements, foreseeing an application on satellite data. Then we study the local magnetic configuration inside and outside current peak regions, comparing the statistics in the two cases. Last, we compare the statistical properties of the local configuration obtained in simulations with the ones obtained analyzing an MMS (Magnetospheric MultiScale mission) dataset having similar plasma parameters.
Results. Thanks to our analysis, (1) we validate the possibility of studying the overall shape of 3D structures using local methods, (2) we provide an overview of a local magnetic configuration emerging in different turbulent regimes, (3) we show that our 3D-3V simulations can reproduce the structures that emerge in MMS data for the periods considered.
Key words: methods: data analysis / methods: statistical / methods: numerical / turbulence
© M. Sisti et al. 2021
Open Access article, published by EDP Sciences, under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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