Spatial survey of a magnetron plasma sputtering system using a Langmuir probe
Bibliographic record
Abstract
A two-dimensional spatial survey is conducted for a magnetron sputtering plasma at two pressures (40 and 5 mTorr) using a Langmuir probe. The plasma density is found to be highest (up to 6.0×1010 cm−3) above the etch region of the cathode, near the magnetic trap. The density drops between the etch regions, near the edges of the cathode and also at distances farther away from the cathode. The floating potential was found to be most negative (down to −12 V) in regions where the highest electron temperatures were observed (up to almost 4 eV) and became less negative (near 0 V) in regions where the electron temperature was lowest (less than 0.5 eV). This complementary trend was consistent in all spatial locations and at both pressures. The plasma potential was found to have very weak dependence, if any, on spatial location and pressure. The relationship between electron transport processes, collision processes and electron temperatures is discussed. Electron energy distribution functions were found to be either Maxwellian or bi-Maxwellian in nature, depending on pressure and spatial location. Maxwellian distributions were found near the magnetic trap or source of the plasma. Bi-Maxwellian distributions were found further away from the source, and it appears they result from Maxwellian distributions bifurcating as they diffuse away from the source. The suitability of the popular models for this bifurcation is discussed.
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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 | 0.001 | 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) | 0.001 | 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".