The development of light ion injector for the plasma diagnostic system based on beam emission spectroscopy
Bibliographic record
Abstract
The development of light ion injector and neutralizer for the BES plasma diagnostic system and its first experimental results are presented in this work. This injector will be used for neutral beam plasma diagnostic systems. Diagnostic systems based on neutral beams of Li or Na atoms can be used to study the spatial plasma density profiles, impurity ions and magnetic field distribution in the border region of the plasma fusion devices. This method is based on the detection of the probe beam glow of atoms excited by the plasma electrons. These diagnostic systems consist of two main parts – the neutral beam injector (including the ion beam accelerator and neutralizer) and the secondary light signal registration system. Light ion beam accelerator based on the five-electrode ion-optical system, in contrast to the classical three-electrode system, delivers beams of lithium or sodium with current 3…5 mA at a beam energy 20…25 keV. The neutralizer is based on the supersonic jet of sodium vapor formed by Laval nozzle. The first experiments of neutralizing the ion beam with a transverse supersonic atomic jet was done.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".