Broadband and low‐beam squint leaky wave radiation from a uniaxially anisotropic grounded slab
Bibliographic record
Abstract
The behavior of leaky and surface modes in uniaxially anisotropic grounded slabs is investigated. First, a transverse magnetic and transverse electric modal parametric analysis of the structure is performed, based on dispersion relations, comparing the nondispersive and Drude/Lorentz dispersive anisotropic slabs with an isotropic nondispersive slab. This analysis reveals that in the case of the isotropic slab, the leaky wave pointing angle is restricted to the end‐fire region. In contrast, it is shown, for the first time, that the proposed anisotropic dispersive grounded slab structure provides efficient (in particular highly directive) leaky wave radiation with a high design flexibility. Toward its lower frequencies, the dominant leaky mode provides full‐space conical‐beam scanning. At higher frequencies, it provides fixed‐beam radiation (at a designable angle) with very low beam squint. A vertical dipole source is placed inside the slab to excite the relevant leaky wave mode. The radiation characteristics obtained for this structure confirms the novel low‐beam squint and high‐directivity operation of the dominant leaky mode. Further validation is included using the commercial software tool CST. The structure could be used to conceive antennas either for conical beam scanning (lower‐frequency range) or for point‐to‐point communication and radar systems (higher‐frequency range).
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".