Enhanced radiation of an invisible array of sources through a sub-wavelength metal-strip grating and applications
Bibliographic record
Abstract
We experimentally demonstrate dramatically increased radiation from an “invisible” source placed next to a sub-wavelength metal strip grating. The invisible source is a novel, highly reactive, array of antennas excited by a common feed, which weakly radiates in the far-zone. The metal grating used is sub-wavelength and non-resonant, which typically attenuates the overall radiation of a nearby source, especially in the transverse electric polarization. However, we show that such a grating screen with proper dimensions placed next to the “invisible” source can in fact significantly enhance the radiated field strength, far beyond the free space radiation of this “invisible” radiator, by an order of magnitude. This radiation enhancement is facilitated through the conversion of evanescent waves of the specially designed reactive source into propagating waves, and its level is inversely related to the source-grating distance. The physical phenomenon is shown in simulations and measurements at microwaves. This novel radiation enhancement effect is shown to have potential applications in various areas such as proximity sensing, detection, and measurement of distance.
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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 | 0.000 | 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".