Volume 495, Number 1, February III 2009
|Page(s)||1 - 8|
|Published online||11 December 2008|
Alpha effect and diffusivity in helical turbulence with shear
Astronomy unit, School of Mathematical Sciences, Queen Mary University of London, Mile End Road, London E1 4NS, UK e-mail: firstname.lastname@example.org
2 Observatory, Tähtitorninmäki (PO Box 14), 00014 University of Helsinki, Finland
3 NORDITA, Roslagstullsbacken 23, 10691 Stockholm, Sweden
Accepted: 28 November 2008
Aims. We study the dependence of turbulent transport coefficients, such as the components of the α tensor and the turbulent magnetic diffusivity tensor , on shear and magnetic Reynolds number in the presence of helical forcing.
Methods. We use three-dimensional direct numerical simulations with periodic boundary conditions and measure the turbulent transport coefficients using the kinematic test field method. In all cases the magnetic Prandtl number is taken as unity.
Results. We find that with increasing shear the diagonal components of quench, whereas those of increase. The antisymmetric parts of both tensors increase with increasing shear. We also propose a simple expression for the turbulent pumping velocity (or γ effect). This pumping velocity is proportional to the kinetic helicity of the turbulence and the vorticity of the mean flow. For negative helicity, i.e. for a positive trace of , it points in the direction of the mean vorticity, i.e. perpendicular to the plane of the shear flow. Our simulations support this expression for low shear and magnetic Reynolds number. The transport coefficients depend on the wavenumber of the mean flow in a Lorentzian fashion, just as for non-shearing turbulence.
Key words: magnetohydrodynamics (MHD) / hydrodynamics / turbulence / magnetic fields
© ESO, 2009
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.