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Title:
Generation of large-scale magnetic fields due to fluctuating in shearing systems
Authors:
Jingade, Naveen; Singh, Nishant K.; Sridhar, S.
Affiliation:
AA(Indian Institute of Science, Bangalore 560 012, India), AB(Max Planck Institute for Solar System Research, Justus-von-Liebig-Weg 3, D-37077 Göttingen, Germany), AC(Raman Research Institute, Sadashivanagar, Bangalore 560 080, India)
Publication:
Journal of Plasma Physics, Volume 84, Issue 6, article id. 735840601, 20 pp.
Publication Date:
12/2018
Origin:
CUP
Keywords:
astrophysical plasmas
Abstract Copyright:
(c) 2018: © Cambridge University Press 2018
DOI:
10.1017/S0022377818001174
Bibliographic Code:
2018JPlPh..84f7301J

Abstract

We explore the growth of large-scale magnetic fields in a shear flow, due to helicity fluctuations with a finite correlation time, through a study of the Kraichnan-Moffatt model of zero-mean stochastic fluctuations of the parameter of dynamo theory. We derive a linear integro-differential equation for the evolution of the large-scale magnetic field, using the first-order smoothing approximation and the Galilean invariance of the -statistics. This enables construction of a model that is non-perturbative in the shearing rate and the -correlation time \unicode[STIX]{x1D6FC}$ . After a brief review of the salient features of the exactly solvable white-noise limit, we consider the case of small but non-zero \unicode[STIX]{x1D6FC}$ . When the large-scale magnetic field varies slowly, the evolution is governed by a partial differential equation. We present modal solutions and conditions for the exponential growth rate of the large-scale magnetic field, whose drivers are the Kraichnan diffusivity, Moffatt drift, shear and a non-zero correlation time. Of particular interest is dynamo action when the -fluctuations are weak; i.e. when the Kraichnan diffusivity is positive. We show that in the absence of Moffatt drift, shear does not give rise to growing solutions. But shear and Moffatt drift acting together can drive large-scale dynamo action with growth rate .
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