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Record W4406891810 · doi:10.1109/tmtt.2025.3530347

An Orthomode Transducer (OMT) Using Magic Tees for Improved Performance, Manufacturing, and Integration

2025· article· en· W4406891810 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIEEE Transactions on Microwave Theory and Techniques · 2025
Typearticle
Languageen
FieldComputer Science
TopicSensor Technology and Measurement Systems
Canadian institutionsNational Research Council CanadaHerzberg Institute of Astrophysics
Fundersnot available
KeywordsTransducerEngineeringElectrical engineeringElectronic engineeringAcousticsMaterials scienceComputer sciencePhysics

Abstract

fetched live from OpenAlex

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).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.613
Threshold uncertainty score0.624

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.016
GPT teacher head0.266
Teacher spread0.250 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it