A circuit-driven design methodology for a linear-to-circular polarizer
Bibliographic record
Abstract
The paper presents a fast design methodology to achieve a circular polarizer with a relatively low thickness of one-fifth of a free-space wavelength. A three-layer planar structure is devised to exhibit transparency to both TE and TM polarized fields while imparting a quadrature phase difference between them, as required for the generation of circularly-polarized fields. The structure is designed using a circuit-driven approach whereby an independent equivalent circuit describes the behavior of each constituent polarization. Meanwhile, the small unit cell size endows the structure with a low sensitivity to the angle of incidence of the impinging waves. This polarizer with a unit cell volume of 0.13λ0×θ.13λ0×0.21λ0renders axial ratios of less than 3dB and 1dB over 12.5% and 4.4% fractional bandwidths, respectively. Numerical simulations verify the accuracy of the circuit-driven approach and its applicability as a design tool in the synthesis of this class of polarizer.
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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 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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".