Characterization of space-time structures in 3D simulations of plasma turbulence with Fast Iterative Filtering.
- 1Istituto di Astrofisica e Planetologia Spaziali, INAF, Roma Italia (emanuele.papini@inaf.it)
- 2Dipartimento di Ingegneria e Scienze dell’Informazione e Matematica, Università degli Studi dell’Aquila, L'Aquila, Italy
- 3School of Physical and Chemical Sciences, Queen Mary University of London, London, United Kingdom
- 4Dipartimento di Fisica e Astronomia, università degli studi di Firenze, Sesto Fiorentino, Italy
- 5INAF, osservatorio astrofisico di Arcetri, Firenze, Italy
- 6Astronomical Institute, CAS, Prague, Czech Republic
- 7Institute of Atmospheric Physics, CAS, Prague, Czech Republic
We present results from a multiscale spatiotemporal analysis of 3D Hall-MHD and hybrid kinetic numerical simulations of decaying plasma turbulence. By combining Fourier analysis and Fast Iterative Filtering, we compute the 3D k-ω power spectrum of the magnetic and velocity fluctuations at the time when turbulence has fully developed. We find that the magnetic fluctuations around and just below the ion characteristic scales mainly consist of strongly anisotropic perturbations, with temporal frequencies smaller than the ion-cyclotron frequency and with wave vectors almost perpendicular to the ambient magnetic field. Further analysis reveals that such perturbations cannot be described in terms of wave-like fluctuations, but rather consist of localized structures that are organized in a filamentary network of current sheets, which continuously form and disrupt as a consequence of magnetic reconnection, spontaneously induced by the interaction of turbulent structures. We discuss similarities and differences with respect to previous findings from 2D simulations, and we put our results in the context of spacecraft observations in the solar wind.
How to cite: Papini, E., Cicone, A., Piersanti, M., Franci, L., Verdini, A., Montagud-Camps, V., Hellinger, P., and Landi, S.: Characterization of space-time structures in 3D simulations of plasma turbulence with Fast Iterative Filtering., EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-7142, https://doi.org/10.5194/egusphere-egu22-7142, 2022.