Design and Eigen Analysis of Diagonal Tensor Based Holographic Metasurface Antenna
Bibliographic record
Abstract
A comprehensive eigen analysis and design procedure of a low profile, diagonally tensor meta unit-cell loaded Holographic Metasurface Antenna (HMSA) is discussed in this article. Using Irreducible Brillouin Zone (IBZ) theory, an effective tensorial surface impedance ($Z_{s u r f}$) is extracted for proposed diagonally tensor meta unit-cell. Furthermore, a linearly polarized HMSA (LPHMSA) is designed using axially sectored phase inversion method. Proposed LPHMSA, having an overall dimension of $12.5 \lambda_{0} \times 12.5 \lambda_{0}$ is composed with nonlinearly distributed $50 \times 50=\mathbf{2 5 0 0}$ diagonally tensor meta unit-cell. A single, highly directive beampattern towards ($\theta_{0}$, $\left.\varphi_{0}\right)=\left(0^{\circ}, 0^{\circ}\right)$ is realized with a peak gain $\left(g_{max }\right)=22.11 \mathrm{dBi}$. Proposed LPHMSA is operated at $f_{r}=25 \mathrm{GHz}$.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".