Electron-only reconnection and inverse magnetic-energy transfer at sub-ion scales

ORAL

Abstract

Electron-only reconnection is a type of magnetic reconnection occurring in sufficiently small regions where ions remain unresponsive to reconnection dynamics. In this work, we derive, and validate numerically, an analytical model for electron-only magnetic reconnection applicable to strongly magnetized (low-beta) plasmas. Our model predicts sub-ion-scale reconnection rates significantly higher than those pertaining to MHD scale reconnection, aligning with recent observations and simulations. We then apply this reconnection model to the problem of inverse magnetic-energy transfer at sub-ion scales. We derive time-dependent scaling laws for the magnetic energy decay that differ from those previously found in the MHD regime. These scaling laws are validated via two- and three-dimensional simulations, demonstrating that sub-ion scale magnetic fields can reach large, system-size scales via successive coalescence. The properties of the associated plasma turbulence, including the energy spectrum and typical magnetic structure dimensions are investigated.

*This work was supported by DOE Awards DE-SC0022012 and DE-FG02-91-ER54109. This work used resources of the Satori cluster at the MGHPCC facility funded by DOE award No. DE-FG02-91-ER54109, and the National Energy Research Scientific Computing Center, a DOE Office of Science User Facility supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC02-05CH11231 using NERSC award FES-ERCAP0020063.

Presenters

  • Zhuo Liu

    • Massachusetts Institute of Technology

Authors

  • Zhuo Liu

    • Massachusetts Institute of Technology
  • Caio Silva

    • Massachusetts Institute of Technology
  • Lucio M Milanese

    • Massachusetts Institute of Technology MI
    • Proxima Fusion GmbH
  • Muni Zhou

    • Princeton University/IAS
  • Noah R Mandell

    • Type One Energy
    • Type One Energy Group, 40 New York Avenue, Suite 200, Oak Ridge, TN, 37830
  • Nuno F Loureiro

    • Massachusetts Institute of Technology