Advances in the physics of steady-state plasmas by long pulse experiments on Tore Supra
Bibliographic record
Abstract
Long pulse, multi-MW operation on Tore Supra, with active control of the main plasma parameters and new diagnostics, has allowed the investigation of several important issues relevant to the physics of steady-state plasmas, sometimes leading to the discovery of new physics effects. Results obtained in the most recent experimental campaigns are reported. Discharges lasting several resistive times, with combined LHCD and minority ICRH at high power level (>10 MW) in plasmas close to the Greenwald limit, at T e ∼ T i , were realized. In these discharges, toroidal rotation velocities of the order of 50 km s −1 induced by ICRH were measured by charge exchange spectroscopy. Doppler backscattering was used to complete these measurements and to provide turbulence spectra. MHD phenomena characteristic of steady-state plasmas, such as double tearing modes, were studied using a new 32-channel ECE radiometer and correlation ECE. After the discovery of stationary regimes characterized by non-linearly coupled temperature and current oscillations, a new regime was observed, characterized by spontaneous transitions between two cycles of electron temperature oscillations: low-amplitude (Δ T e / T e ∼ 0.1) and giant (Δ T e / T e > 0.5).
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".