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Record W2142734002 · doi:10.1109/aps.2009.5171796

New analysis of a reciprocal Left Hand Circular Polarization Selective Surface (LHCPSS)

2009· article· en· W2142734002 on OpenAlexaff
J.E. Roy

Bibliographic record

VenueDigest - IEEE Antennas and Propagation Society. International Symposium · 2009
Typearticle
Languageen
FieldEngineering
TopicAdvanced Antenna and Metasurface Technologies
Canadian institutionsCommunications Research Centre Canada
Fundersnot available
KeywordsDiffractionMonochromatic colorPlane wavePolarization (electrochemistry)OpticsPhysicsReciprocalFinite-difference time-domain methodTransverse planeDielectricEngineering

Abstract

fetched live from OpenAlex

This paper presents the results from analyzing Pierrot's LHCPSS with the numerical technique presented in [1]. In contrast to the results presented in [2] from analyzing a similar LHCPSS design with the full-wave EM solver NEC (a MoM technique), this numerical technique does not rely on calibrating the results against the results of a PEC plate of the same transverse dimensions in order to eliminate the effect of the diffraction that occurs at the edge of the finite-size structure under a single monochromatic plane wave illumination. The technique eliminates the effect of the diffraction by using a Maxwellian tapered beam of dominant polarization, focused at the center of the finite-size structure. As this beam consists of a summation of many incident propagating plane waves, the technique provides the results over a wide range of incidence angle values in a single application. When implemented with the FDTD, the technique also takes into account the presence of dielectric material, which NEC cannot do. Since the edge is not illuminated, the thickness of the structure does not degrade the accuracy of the results. The results of Pierrot's LHCPSS presented herein are deemed to be accurate over the incidence range of about 0 les thetas <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">i</sup> les 60deg in the xz plane passing through the center of the LHCPSS.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.485
Threshold uncertainty score0.803

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.235
Teacher spread0.226 · 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

Citations4
Published2009
Admission routes1
Has abstractyes

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