Modelling of collective Thomson scattering from collisional plasmas
Bibliographic record
Abstract
Anomalous broadening of ion-acoustic modes has been observed using collective Thomson scattering from both the electron plasma and ion-acoustic waves in ion-collisional plasmas. Ion-acoustic waves may be broadened by Landau damping, plasma inhomogeneities and instrumental effects. A model was constructed to calculate the contribution of these effects based upon spatially and spectrally resolved measurements of collective Thomson scattering. Collisional broadening effects were then calculated using a modification of the Mermin formalism. The computational model was used to interpret experimental measurements of collisional damping rates in dense, moderately coupled, plasmas. Collisional broadening is weakly dependent of ion-acoustic frequency in nearly isothermal plasmas; and therefore collective Thomson scattering can be used as a measurement technique for collisional damping rates provided all additional broadening mechanisms are taken into account. This paper further demonstrates that modelling of collective Thomson scattering from ion-collisional ion-acoustic modes must account for inhomogeneities, Landau damping, and collisions in order to evaluate plasma parameters, such as temperature and average ionization.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".