Self-similar transport processes in a two-dimensional realization of multiscale magnetic field turbulence
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https://hdl.handle.net/10037/2083Date
2004-12-14Type
Journal articleTidsskriftartikkel
Peer reviewed
Abstract
We present the results of a numerical investigation of charged-particle transport across a synthesized
magnetic configuration composed of a constant homogeneous background field and a multiscale
perturbation component simulating an effect of turbulence on the microscopic particle dynamics.
Our main goal is to analyze the dispersion of ideal test particles faced to diverse conditions in the
turbulent domain. Depending on the amplitude of the background field and the input test particle
velocity, we observe distinct transport regimes ranging from subdiffusion of guiding centers in the
limit of Hamiltonian dynamics to random walks on a percolating fractal array and further to nearly
diffusive behavior of the mean-square particle displacement versus time. In all cases, we find complex
microscopic structure of the particle motion revealing long-time rests and trapping phenomena,
sporadically interrupted by the phases of active cross-field propagation reminiscent of Levy-walk
statistics. These complex features persist even when the particle dispersion is diffusive. An interpretation
of the results obtained is proposed in connection with the fractional kinetics paradigm
extending the microscopic properties of transport far beyond the conventional picture of a Brownian
random motion. A calculation of the transport exponent for random walks on a fractal lattice is
advocated from topological arguments. An intriguing indication of the topological approach is a
gap in the transport exponent separating Hamiltonian-like and fractal random walk-like dynamics,
supported through the simulation.
Description
Dette er forfatternes aksepterte versjon.
This is the author’s final accepted manuscript.
Publisher
INSTITUTE OF PHYSICS PUBLISHINGCitation
Physica Scripta T122 (2006) 79–88 doi:10.1088/0031-8949/2006/T122/012Metadata
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