Abstract
Excellent reproducibility of KSTAR resonant magnetic perturbation (RMP)-driven, edge-localized mode (ELM)-crash suppression enables us to construct a database reliably for the study of ELM-crash suppression conditions. To establish a high-fidelity database, we have selected one of the frequently used RMP configurations in KSTAR, n = 1, + 90 ° phasing RMP-coil configuration. A series of fitting curves based on edge profile diagnostics data is used for normalized electron collisionality (ν e*) and plasma toroidal rotation (V tor) at pedestal top. Since ITER is expected to employ slowly rotating, low-collisionality, high-density plasmas whose conditions are not readily accessible in the existing devices, the exploration and understanding of these two parameters would be important not only for RMP-driven, ELM-crash-suppression physics but also for the success of ITER. The data points for the ELM-crash suppression phase are in the range of 0.2 < ν e, ped∗ < 1.1 with Z eff = 2 assumption and V tor, ped > 40 km/s. Suppression thresholds or boundaries in ν e, ped∗ or V tor, ped are not confirmed in the investigated parameter ranges so far. The KSTAR database still needs additional experimental datasets in ITER-relevant conditions (ν e, ped∗ ∼0.1 and low-torque low-rotation) to confirm the boundary of the ELM-crash suppression window in KSTAR and reduce the uncertainties of the RMP ELM-crash control technique in ITER. In both ν e, ped∗ and V tor, ped parameters, the phase-space distribution of the ELM-crash suppression has no clear distinction from that of the ELM-crash mitigation. Linear discriminant analysis provides a linear combination of parameters relevant to ELM-crash suppression, best separating two data categories. Recursive feature elimination indicates that n e, ped and I RMP, as well as ν e, ped∗ and V tor, ped, are critical variables in the separation of the data groups.
| Original language | English (US) |
|---|---|
| Article number | 112501 |
| Journal | Physics of Plasmas |
| Volume | 27 |
| Issue number | 11 |
| DOIs | |
| State | Published - Nov 1 2020 |
| Externally published | Yes |
All Science Journal Classification (ASJC) codes
- Condensed Matter Physics
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