An Orthomode Transducer (OMT) Using Magic Tees for Improved Performance, Manufacturing, and Integration
Bibliographic record
Abstract
We present an orthomode transducer (OMT) design based on the turnstile junction that provides balanced signal outputs, suitable for either linear or circular polarization. The OMT uses magic tees for recombination, which has the advantage of terminating higher order modes that could arise from fabrication and assembly uncertainties. Trapped higher order modes can become even more troublesome when greater waveguide integration is used, such as in focal plane array layouts. Generally, integrating magic tees within a waveguide network for differential or in-phase power division is advantageous because of their improved isolation, compared to simple T- or Y-junctions. A prototype OMT was fabricated, using magic tees and demonstrated increased waveguide integration using hole couplers. Hole couplers have been integrated for receiver calibration using noise injection. Measurements are shown for Q-band, spanning the band 5 receiver specifications for the next-generation very large array (ngVLA) radio telescope (30.5–50.5 GHz).
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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 | 0.001 |
| 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".