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Record W1982685969 · doi:10.1109/aps.2014.6905222

Vortex beam generation using circular leaky-wave antenna

2014· article· en· W1982685969 on OpenAlexaff
Amar Al-Bassam, Mohamed A. Salem, Christophe Caloz

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicOrbital Angular Momentum in Optics
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsPhysicsOptical vortexAngular momentumOpticsAntenna (radio)VortexOrbital angular momentum multiplexingBeam (structure)Aperture (computer memory)Electromagnetic radiationInterference (communication)AcousticsOrbital angular momentum of lightClassical mechanicsTelecommunicationsEngineeringTotal angular momentum quantum numberMechanics

Abstract

fetched live from OpenAlex

Vortex beams, which are electromagnetic beams carrying orbital angular momentum, have a great potential for communication, sensing, imaging and tweezing applications. Unfortunately, the spatial light modulator technology that is used in the optical regime to generate vortex beams is not applicable at radio frequencies and the recently introduced metasurface technology suffers from integration difficulty. To solve these issues, we introduce here the concept of generating vortex beams using a circular leaky-wave antenna (CLWA). In this approach, the spiral-shaped phase fronts of the vortex wave are produced by the interference of circularly twisted phase fronts due to off-broadside radiation in the unfolded antenna, while the beam is obtained from the restricted circular aperture of the CLWA. The paper explains the principle in details and provides an experimental demonstration for the case of unit topological charges. The antenna may support simultaneously different orbital angular momenta so as to provide an unprecedented multiplexing technology.

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: Empirical
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 communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.027
GPT teacher head0.233
Teacher spread0.206 · 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

Citations25
Published2014
Admission routes1
Has abstractyes

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