Multidimensional Iterative Filtering: a new approach for investigating plasma turbulence in numerical simulations

0536733 - ASÚ 2021 RIV US eng J - Journal Article
Papini, E. - Cicone, A. - Piersanti, M. - Franci, L. - Hellinger, Petr - Landi, S. - Verdini, A.
Multidimensional Iterative Filtering: a new approach for investigating plasma turbulence in numerical simulations.
Journal of Plasma Physics. Roč. 86, č. 5 (2020), č. článku 871860501. ISSN 0022-3778. E-ISSN 1469-7807
R&D Projects: GA ČR(CZ) GA18-08861S
Institutional support: RVO:67985815
Keywords : space plasma physics * plasma simulation * plasma nonlinear phenomena
OECD category: Fluids and plasma physics (including surface physics)
Impact factor: 2.014, year: 2020
Method of publishing: Open access

We employ the Multidimensional Iterative Filtering (MIF) method, a novel technique for the analysis of non-stationary multidimensional signals. Unlike other traditional methods (e.g. based on Fourier or wavelet decomposition), MIF does not require any previous assumption on the functional form of the signal to be identified. Using MIF, we carry out a multiscale analysis of Hall-magnetohydrodynamic (HMHD) and hybrid particle-in-cell (HPIC) numerical simulations of decaying plasma turbulence. The results assess the ability of MIF to spatially identify and separate the different scales (the MHD inertial range, the sub-ion kinetic and the dissipation scales) of the plasma dynamics. Furthermore, MIF decomposition allows localized current structures to be detected and their contribution to the statistical and spectral properties of turbulence to be characterized. Overall, MIF arises as a very promising technique for the study of turbulent plasma environments.
Permanent Link: http://hdl.handle.net/11104/0314456