Velocity Field of Compressible MHD Turbulence: Wavelet Decomposition and Mode Scalings
Grzegorz Kowal, Alex Lazarian

TL;DR
This paper introduces a wavelet-based method to decompose compressible MHD turbulence into modes, enabling detailed analysis of their spectra, statistics, and intermittency, with implications for astrophysical processes.
Contribution
It extends the Fourier-based decomposition to wavelet analysis, allowing local magnetic field variations to improve mode separation and turbulence characterization.
Findings
Intermittency varies among different turbulence components.
Local magnetic field analysis reveals different intermittency statistics.
Fast mode intermittency is highly sensitive to Mach number changes.
Abstract
We study compressible MHD turbulence, which holds key to many astrophysical processes, including star formation and cosmic ray propagation. To account for the variations of the magnetic field in the strongly turbulent fluid we use wavelet decomposition of the turbulent velocity field into Alfven, slow and fast modes, which presents an extension of the Cho & Lazarian (2003) decomposition approach based on Fourier transforms. The wavelets allow to follow the variations of the local direction of magnetic field and therefore improve the quality of the decomposition compared to the Fourier transforms which are done in the mean field reference frame. For each resulting component we calculate spectra and two-point statistics such as longitudinal and transverse structure functions, as well as, higher order intermittency statistics. In addition, we perform the Helmholtz-Hodge decomposition of…
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