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Record W2003909051 · doi:10.1109/tap.2012.2207696

Scattering From Cylinders Near a Dielectric Half-Space Using a General Method of Images

2012· article· en· W2003909051 on OpenAlexafffund
Peter Pawliuk, Matthew J. Yedlin

Bibliographic record

VenueIEEE Transactions on Antennas and Propagation · 2012
Typearticle
Languageen
FieldPhysics and Astronomy
TopicElectromagnetic Scattering and Analysis
Canadian institutionsUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsScatteringPlanarPlane waveFourier seriesOpticsIntegral equationFourier transformPhysicsPlane (geometry)Reflection (computer programming)Mathematical analysisNear and far fieldDielectricBoundary (topology)Boundary value problemGeometryMathematicsComputer science

Abstract

fetched live from OpenAlex

The two-dimensional scattering of an arbitrary beam of radiation from multiple dielectric cylinders near a dielectric half-space is considered using a general method of images (GMI). The electromagnetic fields are broken down into cylindrical waves so that the boundary conditions for the cylinders can be applied directly. Two approaches for calculating the multiple scattering between the cylinders and the planar interface are compared: the plane-wave integral method and the Fourier series method. The plane-wave integral method involves numerically integrating a plane-wave spectrum for the reflection from the planar interface. The Fourier series method avoids numerical integration but poses problems for evanescent fields. By introducing evanescent field correction terms we are able to show the equivalence of the two methods.

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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.015
GPT teacher head0.267
Teacher spread0.252 · 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

Citations9
Published2012
Admission routes2
Has abstractyes

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