Plasma rotation effects on magnetic island formation and the trigger of disruptions in reversed shear plasma
Bibliographic record
Abstract
Plasma rotation effects on the trigger and the evolution of MHD activities in reversed shear profiles are studied by nonlinear MHD simulations. It is found that, in a rotating plasma, magnetic islands formed around the inner and outer magnetic resonant surfaces, which are stable for the tearing mode, by an external perturbation (driven magnetic island), evolve with different growth rates during an initial growth phase. After the initial growth phase, an outer magnetic island grows rapidly prior to the inner one and triggers a rapid growth of the inner magnetic island. At the final phase, enlarged magnetic islands flatten a q-profile in a wide radial region including the plasma centre. Though this final phase closely resembles a nonlinear destabilization of a spontaneous double tearing mode (Ishii et al 2002 Phys. Rev. Lett. 89 205002), this process can explain the time delay of a plasma edge oscillation in triggering an internal MHD event and disruption.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".