Electromagnetic electron temperature gradient mode and anomalous electron energy transport
Bibliographic record
Abstract
Summary form only given. The nature of electron energy transport in tokamak plasmas remains elusive. Magnetic stochasticity due to overlapping magnetic islands has been considered as a possible mechanism, however the reasons for underlying linear instability are not fully understood. Magnetic islands can be formed by small scale microtearing modes, which are destabilized by temperature gradients in the presence of collisions, however this mechanism is not likely to be operative in modern tokamaks, which have low collisionality. The toroidal electron temperature gradient mode offers another candidate description. This mode is mostly electrostatic and is stabilized by electromagnetic effects. Here, we consider a strongly electromagnetic mode closely related to the short wavelength Alfven mode. This mode is stable in plasmas with a uniform magnetic field, however the combination of the electron temperature gradient and the gradient of the magnetic field renders the mode unstable. We first develop a local stability theory for these modes based on fluid equations, and then utilize the BOUT++ framework to numerically solve the nonlinear fluid equations and describe the mode saturation, along with ensuing electron energy transport.
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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 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.015 | 0.001 |
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".