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Record W2171249225 · doi:10.1109/aps.2010.5562186

Effect of primary feed polarization on phase centre location of parabolic reflector antennas

2010· article· en· W2171249225 on OpenAlexaff
Z. Allahgholi Pour, L. Shafai

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSuperconducting and THz Device Technology
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsCassegrain antennaOffset dish antennaPhase centerOpticsPeriscope antennaFeed hornAntenna measurementAntenna (radio)PhysicsComputer scienceTelecommunications

Abstract

fetched live from OpenAlex

Knowledge of the phase centre location of the antenna is of great importance in various applications, such as global positioning system (GPS), remote sensing, radars, and virtual arrays. In parabolic reflectors, the phase centre is located at the center of the aperture plane when it is illuminated by a prime-focus point source feed having an axially symmetric pattern. It is clear that if one displaces the antenna phase centre, the apparent location of the antenna will move resulting in a virtual antenna. The virtual array antenna can be thought of as an antenna having multiple identical beams, with multiple displaced phase centre locations. Such a property is desirable in remote sensing applications, to allow multiple antenna representations. Multiple phase centre reflector antennas were studied in using a dual-mode feed horn as a primary feed. In this paper, the impact of the feed polarization on the phase centre location of offset reflector antennas will be addressed. The feed is a dual mode circular waveguide antenna operating at its fundamental mode, TEn, and the higher order mode TE21. It will be shown that the phase centre displacement can be controlled by simply changing the excitation amplitude and phase of each mode, as well as employing different mode orientations. In particular, the direction of the phase centre movement will depend on the polarization of each mode.

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 score0.106
Threshold uncertainty score0.267

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 head0.008
GPT teacher head0.275
Teacher spread0.267 · 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

Citations3
Published2010
Admission routes1
Has abstractyes

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