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Record W2122268000 · doi:10.1109/tap.2007.913167

Talbot Effect Applied to Antennas

2008· article· en· W2122268000 on OpenAlexaff
M.G. Keller, J. Shaker, Yahia M. M. Antar

Bibliographic record

VenueIEEE Transactions on Antennas and Propagation · 2008
Typearticle
Languageen
FieldEngineering
TopicAdvanced Optical Imaging Technologies
Canadian institutionsCommunications Research Centre CanadaRoyal Military College of Canada
Fundersnot available
KeywordsRadiation patternTalbot effectOpticsAntenna (radio)Main lobeSide lobeCollinear antenna arrayAntenna arrayAntenna measurementEffective radiated powerDipole antennaGratingPhysicsDirectional antennaAntenna efficiencyComputer scienceRadiationTelecommunications

Abstract

fetched live from OpenAlex

An experimental investigation is reported on how the Talbot effect may be exploited to produce a low volume antenna configuration that is suitable for high effective isotropic radiated power applications. In this architecture a periodic phase grating is combined with a sparse antenna array to form a structure that is simpler to fabricate than an equivalent active antenna array. This configuration is shown to have improved gain and lower grating lobe levels as compared to the sparse array. Finally, a simple technique is described to predict the far-field radiation pattern of this Talbot antenna array.

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)0.001
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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.012
GPT teacher head0.219
Teacher spread0.208 · 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

Citations5
Published2008
Admission routes1
Has abstractyes

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