Surface light-induced drift resulting from inelastic scattering
Bibliographic record
Abstract
Surface light-induced drift (SLID) is known to give rise to an extremely sensitive method of studying the state-specificity of gas-surface interactions. SLID occurs under velocity-selective laser excitation of a resonant gas whenever the scattering, trapping, or chemisorption by the cell walls are state dependent. In this brief report we derive and solve kinetic equations to analyze SLID arising in the case of inelastic scattering. We analyze both (a) the case when the coefficients describing the inelasticity of gas-surface quasi-specular scattering are state dependent, but are not dependent upon the velocity of the impinging particle, and (b) the case of velocity-dependent coefficients. Finally, we briefly outline the way to use this approach to interpret the results of possible experiments on SLID for atoms interacting with simple surfaces. PACS Nos.: 34.50Dy, 78.66-w
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".