CAD Procedure for High-Performance Composite Corrugated Filters
Bibliographic record
Abstract
The design of waveguide low-pass filters is accomplished with a new method, where focus is on the upper stopband performance rather than passband or roll-off requirements. Using an efficient multimode variational formulation, composite filters are generated by direct optimization from an arbitrary number of partial corrugated subelements, each showing mutual TE <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">10</sub> -mode passband and different nonintersecting passbands corresponding to higher order modes. The flexibility of this method leads to optimal filter solutions, having the designer full control over key dimensional features, i.e., minimum gap and cavity length. It is therefore possible to design low-pass filters exhibiting broad stopbands free of spurious propagation, without penalties of higher losses, lower power handling capability, larger size, and/or increased manufacturing complexity. Simulated and measured results demonstrate significant advantages over filters designed with conventional methods.
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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".