FDTD Sub-Cell Modeling of the Inner Conductor of the Coaxial Feed: Accuracy and Convergence Analysis
Bibliographic record
Abstract
This paper presents the modeling of coaxial probe used to excite an electromagnetically coupled patch antenna. The modeling is based on the sub-cell modeling of the inner conductor of the coaxial probe and considering the extension of the coaxial probe below the ground plane of the patch antenna. The problem that is tackled here is the method of exciting and truncating the coaxial probe in order to avoid the unstable and unreliable behavior of finite-difference time-domain (FDTD) solution. Three different structures and excitations are considered. First, the antenna is excited using a hard source placed along the inner conductor of the coaxial probe. In the second model, the hard source excitation is replaced by a resistive voltage source. In both of the noted modeling cases, the inner conductor is truncated two cells above the lower absorbing UPML boundary. In the third modeling technique, we consider the inner conductor extended to the boundary layer. The results show progressive refinement in the simulated solution of the input impedance, also compared with measured data in all cases
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How this classification was reachedexpand
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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".