Obtaining the fundamental and harmonic radiation conductances of a reflective SAW interdigital transducer
Bibliographic record
Abstract
The fundamental and harmonic radiation conductances of a solid-electrode uniform reflective SAW Interdigital transducer (IDT) are derived by applying the IDT reflection coefficient as a weighting function to modify the nominal (sin(X)/X)/sup 2/ radiation conductance. The IDT radiation conductance is derived from the single-tap SAW amplitude response function /spl mu//sub s/(f,/spl eta/)/spl ap//spl mu//sub s/(f/sub 0/,/spl eta/) sin[(/spl pi/f)/(2f/sub 0/)]P/sub n/(cos /spl eta//spl pi/), where P/sub n/=nth Legendre polynomial, together with IDT reflectivity as obtained from single-tap charge distribution analysis. The method is demonstrated for the fundamental and third-harmonic radiation conductances of a highly-reflective 100-MHz solid-electrode IDT using 41 electrodes with /spl eta/=0.25, on 128/spl deg/ YX-LiNbO/sub 3/. The results obtained by this approximate method are in good agreement with those published by Morgan (1998), using a quasi-static analysis applied to a reflective array model (RAM).
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".