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3D Simulation of Infinite Baffle Diffraction

2020· article· en· W3041489208 on OpenAlexaff
Christopher G. Hynes, Roshanak Zabihi, Rodney G. Vaughan

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldPhysics and Astronomy
TopicElectromagnetic Scattering and Analysis
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsDiffractionBafflePlane (geometry)Boundary (topology)Boundary value problemUniform theory of diffractionSemi-infinitePlane waveOpticsPhysicsMathematical analysisGeometryMathematics

Abstract

fetched live from OpenAlex

Diffraction formulations have infinite boundaries whereas simulations are solved with strictly limited dimensions. Consequently, the simulation of diffraction effects is challenging. Here, 3D electromagnetic simulations are described and compared against theoretical results for the diffraction of normally incident plane waves onto semi-infinite and infinite strip baffles. A detailed description is provided of the 3D simulation configuration necessary to successfully simulate the model. A simple expression is presented for the diffraction of an infinite strip. We show that it is possible to achieve excellent agreement between the Uniform Geometrical Theory of Diffraction and simulations. Accurate simulation results were only achieved by using the frequency domain with periodic boundary conditions and appropriately handling the bottom boundary for semi-infinite baffle diffraction.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.013
GPT teacher head0.246
Teacher spread0.234 · 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

Citations4
Published2020
Admission routes1
Has abstractyes

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