Electromagnetic wave propagation in pulsed surface wave sustained plasmas at atmospheric pressure
Bibliographic record
Abstract
Abstract In this work, a long surface wave plasma column is generated using high power pulse-modulated microwave power in argon at atmospheric pressure. The temporal evolutions of the electron density and temperature are diagnosed by optical emission spectroscopy. It is found that the emission intensity peaks correspond to the nodes of standing surface waves where the local electric field is reduced, rather than the antinodes, which is in contrast with that in low pressure discharges. The reasons for this behavior are discussed by considering the excitation balance of the excited levels of Ar I in the plasma. A standing surface wave pattern propagating with the movement of the ionization front in the plasma column, which plays the role of a discontinuity, is observed by means of microsecond time-resolved imaging. Another standing wave at the location of the launcher is also described which indicates that the region below the gap also acts as a discontinuity for the wave propagation. The formation of the propagating standing wave is discussed with respect to the wave propagation characteristics by using an electromagnetic (EM) model based on the propagation of the surface wave. This study underlines the fundamental differences in the EM wave/plasma interactions between continuous and pulsed surface wave discharges and provides new insights into the importance of the microwave applicator segment for a complete description of the plasma column formation.
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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 | 0.000 | 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".