Sherwood 2015

Abstract Details

files Add files

status:file name:submitted:by:
approvedabstract_sherwook_sanchez_2015.pdf2015-01-18 13:12:02Raul Sanchez

Investigation of kinetic dynamos driven by non-Gaussian, non-Markovian velocity fluctuations using meshless, Lagrangian numerical schemes

Author: Raul Sanchez
Requested Type: Consider for Invited
Submitted: 2015-01-18 13:10:46

Co-authors: David E. Newman, J.M. Reynolds-Barredo

Contact Info:
Universidad Carlos III de Madrid, SPAIN
Avda. de la Universidad 30
Leganes, Madrid   28911
SPAIN

Abstract Text:
Velocity fluctuations generate perturbations of the electric current and magnetic field that, under certain conditions, may generate an average, large-scale magnetic field. Such dynamo ge- neration is important to understand the behavior of stars, planetary and laboratory plasmas. Kinematic dynamos are traditionally studied by assuming near-Gaussian, random velocity fluc- tuations that do not evolve self-consistently with the field evolution. This simplification allows to express the effective electromotive force appearing in Faraday’s law in terms of a piece pro- portional to the large-scale magnetic field itself (the α-term) and another proportional to its curl (the β term), after having assumed that certain conditions are met. Physically, the α coefficient is a measure of the mean helicity of the turbulent flow, and is the one that drives the dyna- mo process. The β coefficient represents an enhanced magnetic diffusivity. In this contribution, we will discuss what new process might follow from assuming instead that Levy-distributed, Langrangian-correlated velocity fields drive the dynamo. These type of fluctuations have been previously identified as of relevance in regimes of near-marginal turbulence or in the presence of a strong, stable sheared flow. The (α, β) picture ceases to be valid in this situation, and new dynamo generation regimes become possible. The study has been carried out after implementing the kinematic dynamo equation using a Lagrangian, meshless numerical method inspired by the Smooth-Particle Hydrodynamics (SPH) schemes frequently used in hydrodynamics.

Comments:

March 16-18, 2015
The Courant Institute, New York University