Experimental observation and numerical investigation of imposed pattern formation in magnetized plasmas by a wide wire mesh
Bibliographic record
Abstract
Abstract In this paper, the formation of imposed patterns due to placing a wide wire mesh (‘waffle’ electrode) in the bulk of a strongly magnetized ( B ⩾ 1 T) plasma is investigated both experimentally and numerically. A new double head electrostatic probe was designed for the experiments that allows for measurements of the floating potential beneath the mesh in the magnetized plasma. The measurements using this probe revealed that due to the presence of the ‘waffle’ electrode in the bulk of the magnetized plasma, an organized pattern appears in the plasma potential. As a result of this imposed pattern, when dust particles were added to the experiments, they became trapped beneath the edges of the ‘waffle’ electrode. The effects of placing a wire mesh in the bulk of a magnetized plasma were further investigated using fluid and particle-in-cell (PIC) simulations. These simulations were able to qualitatively reproduce the experimental observations. The results of the simulations showed that the imposed patterns arise due to differences in the cross-field transport of the electrons and ions in the presence of magnetic field.
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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 | 0.001 |
| 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 | 0.001 |
| 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".