MétaCan
Menu
Back to cohort
Record W1976942449 · doi:10.1109/eucap.2014.6901681

Analysis of reflectors fed by reconfigurable array lenses

2014· article· en· W1976942449 on OpenAlexaff
Catherine Kocia, Sean V. Hum

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAdvanced Antenna and Metasurface Technologies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsReflector (photography)OpticsParabolic reflectorLens (geology)Aperture (computer memory)Beam (structure)Nonimaging opticsComputer scienceMaterials sciencePhysicsLight sourceAcoustics

Abstract

fetched live from OpenAlex

Array lenses are growing in popularity for their ability to potentially create reconfigurable beam patterns. Of particular interest is their possible application to satellite communications as they can provide reconfigurable high-gain beam forming at a low cost. This paper analyzes a high-gain compound aperture consisting of a parabolic reflector and a 6 × 6 reconfigurable array lens. Applying conjugate field matching, the optimal element phases are found and used to configure simulated array lens models for generating the reflector illumination. Simulating the reflector using physical optics, it is found that high-gain pencil beams can be formed and scanned up to 8° away from the reflector axis. A compound system is constructed using a prototype reconfigurable array lens and a parabolic reflector, and beam scanning from -5° to +5° off-boresight is experimentally demonstrated.

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 score0.167
Threshold uncertainty score0.269

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 head0.011
GPT teacher head0.229
Teacher spread0.218 · 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

Citations1
Published2014
Admission routes1
Has abstractyes

Explore more

Same topicAdvanced Antenna and Metasurface TechnologiesFrench-language works237,207