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Analysis of Benchmark Biconical Antenna with RWG Method of Moments for IEEE P2816 Project

2022· article· en· W4296913430 on OpenAlexaff
Shucheng Zheng, Peiyuan Zhang, Vladimir Okhmatovski

Bibliographic record

Venue2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (AP-S/URSI) · 2022
Typearticle
Languageen
FieldPhysics and Astronomy
TopicElectromagnetic Scattering and Analysis
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsMethod of moments (probability theory)FEKOElectric-field integral equationBiconical antennaAntenna (radio)Dipole antennaSolverAntenna measurementComputer scienceAntenna factorElectronic engineeringIntegral equationAcousticsPhysicsEngineeringMathematicsMathematical analysisTelecommunications

Abstract

fetched live from OpenAlex

This paper presents numerical results for electromagnetic analysis of biconical antenna performed via Rao-Wilton-Glisson (RWG) Method of Moments (MoM) solution of the Electric Field Integral Equation (EFIE) in the mixed-potential form. The study is done as part of the IEEE P2816 Project entitled "Recommended Practice for Computational Elec-tromagnetics Applied to Modeling and Simulation of Antennas". Numerical results obtained with in-house RWG MoM code are compared against those generated using FEKO commercial MoM solver as well as analytic solution available for the biconical antenna. It is shown that upon δ-gap excitation mechanism at the port of the antenna the mesh density near the port effects the extracted input impedance of the antenna especially at high frequencies. Effect on the numerically extracted input impedance associated with the closeness of the computational model to the model of the ideal antenna is studied.

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)0.002
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 score0.866
Threshold uncertainty score0.771

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0010.000
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 head0.014
GPT teacher head0.297
Teacher spread0.283 · 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

Citations0
Published2022
Admission routes1
Has abstractyes

Explore more

Same venue2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (AP-S/URSI)Same topicElectromagnetic Scattering and AnalysisFrench-language works237,207