Conservation of magnetic-helicity fluctuations in decaying MHD turbulence due to spatial decorrelation

ORAL

Abstract

It has recently been recognised that local fluctuations in magnetic helicity are key to constraining the turbulent decay of magnetic fields that are statistically homogeneous, isotropic and non-helical on average. Mathematically, the constraint manifests as conservation of the so-called Saffman helicity integral, also known as the Hosking integral. In this study, we construct von-K\'arm\'an-Howarth-Monin relations for the Hosking integral and thus formulate the formal condition on relevant fourth-order two-point correlation functions for the integral to be conserved. Specifically, we show that that conservation of the Hosking integral is guaranteed if the longitudinal correlation function of the helicity density and its flux decays faster than $r^{-3}$ at large separations $r$. With high-resolution numerical simulations ($2304^3$ cells), we demonstrate that this is indeed the case in decaying turbulence: the correlation function instead decays as $r^{-4}$. We generalise Batchelor \& Proudman's theory of correlations in hydrodynamic turbulence to MHD and show that it predicts correctly the $r^{-4}$ scaling that we measure.

*J. K. J. H. acknowledges funding via the Bok Honours Scholarship, ANU Chancellor's International Scholarship, the Space Plasma, Astronomy and Astrophysics Research Award and the Boswell Technologies Endowment Fund. C. F. acknowledges funding provided by the Australian Research Council (Future Fellowship FT180100495), and the Australia-Germany Joint Research Cooperation Scheme (UA-DAAD). J. R. B. acknowledges financial support from the Australian National University, via the Deakin PhD and Dean's Higher Degree Research (theoretical physics) Scholarships, the Australian Government via the Australian Government Research Training Program Fee-Offset Scholarship and the Australian Capital Territory Government funded Fulbright scholarship. We further acknowledge high-performance computing resources provided by the Leibniz Rechenzentrum and the Gauss Centre for Supercomputing (grants pr32lo, pr48pi and GCS Large-scale project 10391), the Australian National Computational Infrastructure in the framework of the National Computational Merit Allocation Scheme, ANU Merit Allocation Scheme (grant~ek9), and the ANU Startup Scheme (grant xx52), as well as the Pawsey Supercomputing Centre (grant pawsey0810).

Presenters

  • Justin Kin Jun Hew

    • Australian National University

Authors

  • Justin Kin Jun Hew

    • Australian National University
  • David N Hosking

    • Princeton University
  • Christoph Federrath

    • Australian National University
  • James R Beattie

    • Princeton University / CITA
  • Neco Kriel

    • Australian National University
  • Amit Seta

    • Australian National University