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Record W2242431142 · doi:10.1049/iet-map.2014.0688

Analysis of radiation of antennas with a phase‐gradient partially reflective surface

2015· article· en· W2242431142 on OpenAlexafffund
Hamid Moghadas, Mojgan Daneshmand, Pedram Mousavi

Bibliographic record

VenueIET Microwaves Antennas & Propagation · 2015
Typearticle
Languageen
FieldEngineering
TopicAdvanced Antenna and Metasurface Technologies
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of CanadaAlberta Innovates - Technology Futures
KeywordsBeamwidthConical surfaceMain lobeRadiation patternOpticsRadiationPhase (matter)Side lobeSurface (topology)PhysicsMaterials scienceComputational physicsGeometryAntenna (radio)Computer scienceMathematicsTelecommunications

Abstract

fetched live from OpenAlex

This study presents a novel model for understanding the radiation phenomena and calculating the radiation pattern properties of uniform and phase‐gradient partially reflective surface (PRS) antennas. This model is extracted for one‐ and two‐dimensional antennas using array theory along with the dispersion analysis of the unit cells. The model can calculate the main lobe radiation pattern, scan angle and half‐power beamwidth of uniform and phase‐gradient PRSs with broadside, conical or tilted beams with an accuracy better than 5°. Two common PRS unit cell shapes (slotted patch and dipole) are used here.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.118
Threshold uncertainty score0.755

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
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 head0.021
GPT teacher head0.270
Teacher spread0.249 · 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 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

Citations4
Published2015
Admission routes2
Has abstractyes

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