Abstract

In the ASDEX Upgrade tokamak, the growth of non-axisymmetric magnetic perturbation (NAMP) associated with the ELM crash events has been observed, and both the poloidal and toroidal phases of NAMPs, measured by a set of Mirnov coils, were highly random. By applying an n = 1 magnetic perturbation (MP) field, the phases of NAMPs were locked to the phase of the total n = 1 resonant MP (RMP) field, which takes the plasma response to the MP field into account. This observation can be explained by the resonant electromagnetic J × B torque applied by the RMP field on a magnetic island formed due to the magnetic reconnection, which is predicted to occur during the ELM crashes by several numerical modelling results.

Highlights

  • Magnetic reconnection [8], which is followed by the formation of magnetic islands at the rational flux surfaces, plays a vital role for understanding the collapse events in magnetized plasmas, such as sawtooth crashes [9], minor disruptions [10] in tokamaks and solar flares [11] in the solar atmosphere

  • Plasmas, the magnetic island structure was directly described by the radial distribution of the nonaxisymmetric magnetic perturbations (NAMPs) [ 17 ] measured by magnetic probes around the rational surface

  • We report the observations from the ASDEX Upgrade tokamak experiments on the NAMPs with low toroidal mode number growing associated with the edge-localized mode (ELM) crash events, which are similar to those observed in TCV [28]

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Summary

Introduction

Magnetic reconnection [8], which is followed by the formation of magnetic islands at the rational flux surfaces, plays a vital role for understanding the collapse events in magnetized plasmas, such as sawtooth crashes [9], minor disruptions [10] in tokamaks and solar flares [11] in the solar atmosphere. This observation can be explained by the resonant electromagnetic J×B torque, applied by the RMP field on a magnetic island due to the magnetic reconnection, which is predicted to occur during the ELM crashes by several numerical modelling results.

Results
Conclusion
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