Demonstration of a terahertz integrated planar network synthesis filter
Bibliographic record
Abstract
At terahertz (THz) frequencies, there are few experimental works that demonstrate the viability of all-pole network synthesis filters to obtain desired frequency characteristics (i.e., Chebyshev, Butterworth, Bessel, etc.) using planar waveguides. This capability has been proven with non-planar waveguides, but has yet to be demonstrated using planar waveguides, which are desirable due to their integration capabilities similar to printed circuit board or monolithic microwave integrated circuit structures. In this paper, we use network synthesis methods from microwave engineering to fabricate three integrated planar low-pass filters for THz applications that have the same cut-off frequency ( f c = 0.8 THz) but different orders (N = 3, 4, 5). We measure their response to a THz-bandwidth excitation pulse and find that the experimental results exhibit increasing roll-off rates with increasing filter order without incurring significant pulse distortion, which is aligned with theory.
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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 | 0.000 |
| 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 | 0.001 | 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".