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Record W1756681624 · doi:10.1109/aps.2000.874446

Parametric study of short backfire antennas with different cavity profiles

2002· article· en· W1756681624 on OpenAlexaff
Denis Pereira Gray, L. Shafai

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicMicrowave Engineering and Waveguides
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsHFSSLocal Multipoint Distribution ServiceOpticsParametric statisticsWaveguideWavelengthAntenna (radio)MillimeterAperture (computer memory)Terahertz radiationHorn antennaDirectional antennaAcousticsMaterials scienceSlot antennaEngineeringTelecommunicationsPhysicsMathematicsMicrostrip antenna

Abstract

fetched live from OpenAlex

A number of high aperture efficiency waveguide fed horn arrays have been investigated at millimetre wave frequencies for civil application. Short backfire antennas are a low profile alternative to horns, having a height of about 0.5/spl lambda//sub 0/, as opposed to several wavelengths. A large scale, dual polarised, waveguide fed array of short backfire antennas (SBA) has been proposed for DBS television reception (about 12 GHz). Such structurally robust and readily die cast arrays are also of interest for upperband MMDS, LMCS and LMDS subscriber antenna (25.35-31.3 GHz). However, waveguide fed SBAs are not well understood and have only been studied for a few distinct cavity diameters and depths. Also, a number of gain enhancement techniques have been trialed, but this work has also been sketchy. There is, thus, a need for a wide-ranging parametric study of SBAs before arraying can be considered, and a modern numerical tool such as Ansoft HFSS(TM) ver. 6.0 would be applicable. As an initial study, 5 different circularly symmetric cavity profiles fed by a rectangular waveguide were investigated across a range of diameters.

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 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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.391
Threshold uncertainty score0.476

Codex and Gemma teacher scores by category

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 integrity0.0000.000
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 head0.019
GPT teacher head0.202
Teacher spread0.183 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations7
Published2002
Admission routes1
Has abstractyes

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