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Loading Rims of Radio Telescopes with Reconfigurable Reflectarrays for Adaptive Null-Steering

2024· article· en· W4393058730 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicStructural Analysis and Optimization
Canadian institutionsUniversity of Toronto
FundersNational Science Foundation
KeywordsNull (SQL)Radio frequencyComputer scienceTelecommunications

Abstract

fetched live from OpenAlex

In an attempt to realize a concept presented in a precursor paper by the same authors, the design of a reconfigurable reflectarray providing a radio telescope with adaptive null steering capabilities is presented. The reflectarray occupies a paraboloidal annulus-shaped portion of the original reflector's surface. The remaining reflector surface and the reflectarray is modeled using reflection coefficients. The reflection coefficients for the reflector are set equal to -1. The reflection coefficients for the reconfigurable reflectarray are obtained from full-wave unit cell simulations of pin-diode-loaded patch antennas. The states of the switches required to drive a null in a particular direction are determined using a simple serial search algorithm. The reflection coefficients are related to a physical-optics-based current density. The current density can be integrated to obtain the far fields. An example of an 18m axisymmetric paraboloidal reflector antenna designed to drive a null to an angle of 1.75° from the axis of symmetry is provided.

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.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.841
Threshold uncertainty score0.291

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 head0.210
Teacher spread0.199 · 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

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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