Onset of anomalous-resistivity-facilitated magnetic reconnection in an evolving current sheet.

ORAL

Abstract

Reconnection in high-temperature plasmas is associated with the large values of current density. The electron-ion friction in this context is traditionally modeled with the classical Spitzer resistivity, which is very small in most laboratory and astrophysical plasmas. We present a theory of the onset of magnetic reconnection in a current sheet through the development of anomalous resistivity in a kinetically unstable current profile. It is found that for sufficiently low aspect ratio current sheets (L/a not too large), kinetic instabilities are triggered prior to the system becoming plasmoid unstable. The resulting reconnection rate is determined by a marginal stability model of anomalous resistivity, balancing flux convection and diffusion. For typical parameters in an Ohmically heated tokamak, we find a reconnection rate in a sawtooth crash which is consistent with observations.

*R.L.W. was supported by the U.S. Department of Energy Fusion Energy Sciences Postdoctoral Research Program under DOE contract number DE-SC0014664. The work of B.B. was funded by the U.S. Department of Energy under contract no. DE-FG02-04ER-54742. N.F.L. was partially funded by US Department of Energy grant no. DE-FG02-91ER54109.

Presenters

  • Ryan L White

    • Massachusetts Inst of Tech-MIT

Authors

  • Ryan L White

    • Massachusetts Inst of Tech-MIT
  • Nuno F Loureiro

    • Massachusetts Inst of Tech-MIT
    • Massachusetts Institute of Technology
    • Plasma Science and Fusion Center, MIT, Cambridge, USA
  • Boris Breizman

    • Univ of Texas, Austin
    • University of Texas, Austin
    • University of Texas at Austin
  • Giannandrea Inchingolo

    • Inst Superior Tecnico (IST)
    • GoLP/Instituto de Plasmas e Fusao Nuclear, Instituto Superior Tecnico, Universidade de Lisboa, Lisbon, Portugal, Plasma Science and Fusion Center, MIT, Cambridge, USA
  • Lucio M Milanese

    • Massachusetts Inst of Tech-MIT
    • Massachusetts Institute of Technology