Nonlinear growth of magnetic islands by passing fast ions in NSTX

Yang, James; Fredrickson, Eric D.; Podestà, Mario; Poli, Francesca M.

doi:10.1088/1361-6587/ac7970

Title: Nonlinear growth of magnetic islands by passing fast ions in NSTX

Journal Article · 18 July 2022 · Plasma Physics and Controlled Fusion

DOI: https://doi.org/10.1088/1361-6587/ac7970 · OSTI ID:1873487

^[1]; Fredrickson, Eric D. ^[1];

^[1];

^[1]

Princeton Plasma Physics Lab. (PPPL), Princeton, NJ (United States)

The growth of magnetic islands in NSTX is modeled successfully, with the consideration of passing fast ions. It is shown that a good quantitative agreement between simulation and experimental measurement can be achieved when the uncompensated cross-field current induced by passing fast ions is included in the island growth model. The fast ion parameters, along with other equilibrium parameters, are obtained self-consistently using the TRANSP code with the assumptions of the 'kick' model (Podestà et al 2017 Plasma Phys. Control. Fusion 59 095008). Overall, the results show that fast ions can contribute to overcoming the stabilizing effect of polarization current for magnetic island growth.

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Research Organization:: Princeton Plasma Physics Laboratory (PPPL), Princeton, NJ (United States)

Sponsoring Organization:: USDOE Office of Science (SC), Fusion Energy Sciences (FES)

Grant/Contract Number:: AC02-09CH11466

OSTI ID:: 1873487

Journal Information:: Plasma Physics and Controlled Fusion, Journal Name: Plasma Physics and Controlled Fusion Journal Issue: 9 Vol. 64; ISSN 0741-3335

Publisher:: IOP ScienceCopyright Statement

Country of Publication:: United States

Language:: English

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Cited By (2)

Nonlinear growth of magnetic islands by passing fast ions in NSTX Yang, James; Fredrickson, Eric; Podestà, Mario Princeton Plasma Physics Laboratory (PPPL), Princeton, NJ (United States) https://doi.org/10.11578/1888280	dataset	January 2022
Nonlinear growth of magnetic islands by passing fast ions in NSTX Yang, James; Fredrickson, Eric; Podestà, Mario Princeton Plasma Physics Laboratory (PPPL), Princeton, NJ (United States) https://doi.org/10.11578/1888280	dataset	January 2022

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