Multi-layer low temperature superconducting K-band filter and diplexer design
Bibliographic record
Abstract
A multi-layer Low temperature superconducting (LTS) Microstrip K-band diplexer is designed, fabricated, measured and reported for the first time. The Chebyshev K-band filters used in the device have five poles and are designed for the center frequencies of 20.45 GHz and 21.15 GHz with a bandwidth of 500 MHz. The dimension of the fabricated diplexer including the input and output Coplanar Waveguide (CPW) to microstrip transitions is only 3.2 mm × 2.2 mm. The diplexer is measured in an RF cryogenic probe station at 4K. A novel frequency independent broadband 50 Ω load is designed with the same fabrication process and used to match one of the three ports when the other two ports are being measured. Simulation and measured results of the diplexer show a spurious-free response up to 40GHz.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".