Design of an asymmetrically biased triple Langmuir probe and accompanying diagnostics tool
Bibliographic record
Abstract
A refined triple Langmuir probe design is described for use in a glow discharge device, which creates plasma by applying a large bias voltage across a neutral gas. The goal is to design a Langmuir probe which can measure the plasma temperature, density, and floating potential to within an order of magnitude while minimizing plasma perturbation. The probe functions in a plasma temperature range of 1-10 eV. First, an overview of the relevant theory is provided, followed by the design assumptions and a derivation of the working regime of the Langmuir probe. This working regime dictates the appropriate branch of Langmuir probe theory whose equations can be used to design the probe and extract the plasma electron temperature, density, and floating potential. Second, the probe’s radius, length, and electrode spacing are derived using the applicable branch of Langmuir probe theory. The derived probe radius, length, and electrode spacing are 0.18 mm, 3 mm, and 55 mm, respectively. Third, an overview of the electrical design used to measure the triple probe voltages and currents is described. Finally, a discussion of the limitations and future work is provided, with methods listed to improve the specificity of the relevant theory and the accuracy of the probe measurements.
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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 | 0.001 |
| 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 | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".