MétaCan
Menu
← Back to cohort

Design of a Ultra Wideband Ridged Waveguide Turnstile Orthomode Transducer for mm-Wave Radio Astronomy Applications

2025· article· W7110146990 on OpenAlexaff

Bibliographic record

Venuenot available
Typearticle
Language
FieldPhysics and Astronomy
TopicSuperconducting and THz Device Technology
Canadian institutionsHerzberg Institute of AstrophysicsUniversity of Victoria
Fundersnot available
KeywordsTurnstileMicrowaveWaveguideWidebandMillimeterPolarization (electrochemistry)TransducerBroadbandElectrical impedance

Abstract

fetched live from OpenAlex

Ridged waveguide technology is applied to design a wideband turnstile orthomode transducer (OMT) for radio astronomy applications. The OMT features a quad-ridged circular input waveguide that supports dual-polarization. It includes two single-ridged rectangular waveguide output ports. The design incorporates a two-fold symmetric turnstile junction at the input, facilitating effective mode coupling. An intermediate section with cylindrical components is used for impedance matching. The turnstile junction is connected to a ridged T-junction combiner via E-plane bends. The performance of the OMT is evaluated using two full-wave electromagnetic simulation tools, CST Microwave Studio and HFSS. Operating over a frequency range of 65 − 165 GHz, the OMT demonstrates a reflection coefficient better than almost −20 dB for both polarization modes, an average transmission loss of$0.2-0.5 \text{dB}$, and isolation and cross-polarization leakage levels exceeding 80 dB and 58 dB, respectively, across the entire band.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.001

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.

Opus teacher head0.028
GPT teacher head0.268
Teacher spread0.240 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

Explore more

Same topicSuperconducting and THz Device Technology→French-language works237,207→