A Two-Step MoM Procedure for the Analysis of Finite-Sized Tapered Slot Antennas
Bibliographic record
Abstract
An analysis of the Linearly Tapered Slot Antenna (LTSA) on a finite dielectric substrate has been carried out using a two step Method of Moments (MoM) procedure.In the first step of the analysis, the closed form Green's functions are obtained for the infinite dielectric substrate using the discrete complex image method.Galerkin type Method of Moments and RWG basis functions are used for the solution of the EFIE.In the second step, equivalent volume polarization currents in the substrate are used to modify the voltage vector for modeling the finite dielectric substrate region.The feed section of the antenna is modeled by a pulse excitation.Solving for the antenna currents with the modified excitation second time in air yields accurate results.Comparisons of radiation patterns for LTSAs on a finite dielectric substrate with HFFS results are presented and also a parametric study with respect to dimensions and permittivity are given.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".