MétaCan
Menu
Back to cohort
Record W1485650927 · doi:10.1109/aps.1993.385225

Confocal parabolic reflector antenna design trade-offs

2002· article· en· W1485650927 on OpenAlexaff
K.K. Chan, Ming‐Chun Tang, R. Martin

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAntenna Design and Optimization
Canadian institutionsDefence Research and Development Canada
Fundersnot available
KeywordsCassegrain reflectorCassegrain antennaOpticsOffset (computer science)Reflector (photography)Phased arrayParabolic reflectorPhase centerAperture (computer memory)PhysicsAntenna (radio)Computer scienceAntenna measurementAcousticsPeriscope antennaTelecommunicationsTelescope

Abstract

fetched live from OpenAlex

Three dual reflector configurations were designed and examined in detail. These are: on offset confocal parabolic antenna fed by a small phased array (image plane system) with both small and large magnification ratios, and a center-fed Cassegrain reflector antenna with a defocused feed array. Simulations show that the dual reflector configuration, center-fed by a phased array, while mechanically desirable, possesses high sidelobes as a result of aperture blockage. The offset-fed configuration, being free of blockage, can achieve very low sidelobes, the level being a function of the feed size used. If elements with amplitude excitations from 0 to -20 dB are activated in the feed array, the secondary sidelobes will be typically below -35 dB.>

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.002

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 head0.037
GPT teacher head0.218
Teacher spread0.181 · 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 designSimulation or modeling
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

Citations0
Published2002
Admission routes1
Has abstractyes

Explore more

Same topicAntenna Design and OptimizationFrench-language works237,207