Cross-phase modulation effects in surface-wave-sustained plasmas
Bibliographic record
Abstract
The study extends models of the cw-regime of operation of diffusion-controlled discharges by incorporating the actual shape of the high-frequency signal producing the discharge as a narrow-band signal. The slow variations of the wave envelope determining slowly varying Joule heating of the electrons in the wave field leads to a low-frequency plasma-density response which influences the propagation properties of the high-frequency signal. Depending on the frequency shift of the spectral components from the carrier-wave frequency of the signal, the low-frequency plasma response appears as stationary or nonstationary. The derived nonlinear evolution equation for the wave envelope shows cross-phase modulation acting simultaneously through self-action and mutual action of coupled spectral components. A strong impact of the mutual action of the coupled spectral components is found. It removes the effect of self-action: The decay of the spectral components associated with a stationary low-frequency response transforms into an instability, and the monotonic variations of the amplitudes of the spectral components associated with a nonstationary low-frequency plasma response are replaced by space modulation. For verification of the origin of the effects, also the case of axially homogeneous plasma columns is treated in which obtaining analytical solutions of the evolution equations is possible.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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".