Comparison of Three FDTD Modeling Techniques for Coaxial Feed
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Bibliographic record
Abstract
This paper addresses the difficulties reported in the numerical modeling of coaxial feed probes. A range of finite-difference time-domain (FDTD) modeling techniques (e.g., gap, magnetic frill and transmission line modeling) was successfully applied for specific applications. The same problem was challenged for the case of electromagnetically coupled patch antenna (EMCP). This structure has intricate resonance behavior and operates based on two-mode excitation. These two modes have close values of resonant frequency and can be revealed only with precise probe modeling. The following modeling techniques for the probe feed have been implemented and compared with the measurement results: electric gap modeling, sub-cell modeling of inner conductor and very fine discretization of coaxial probe. The results are discussed in the light of advantages and downsides of each technique and the associated computational parameters to obtain a reliable solution
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it