Analysis of Benchmark Biconical Antenna with RWG Method of Moments for IEEE P2816 Project
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".