Precise design of multilayer circuit using spectral domain and finite differences techniques
Bibliographic record
Abstract
The design of multilayer directional couplers with septa is often done using the spectral domain technique. This consists in taking the Fourier transform of the boundary conditions and then expressing the charge distribution on the conductor, p/sub l/, and the septum, p/sub s/, as a function of G/sub ij/, the Green's function. The Galerkin optimization technique is then used to compute p/sub l/ and p/sub s/ as a summation of arbitrarily chosen basis functions. A proper choice of basis functions determines the precision and convergence of results. Presently, the choice of p/sub ln/ and p/sub sn/ is commonly done on an intuitive basis, which may result in imprecision of the impedance value. Since no technique has yet been developed for the optimization of p/sub ln/ and p/sub ls/, the authors compute explicitly the charge distribution value, using the finite-difference method. These results are used to develop precise design curves for the multilayer coupler with septa. The methodology can also be applied to other multilayer circuits.>
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 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".