Bibliographic record
Abstract
The goals of nanophotonics are to confine light to the nanoscale and to increase the local field intensity. Subwavelength confinement is of interest for nanolithography, photonic integrated circuits, subwavelength imaging and nano-sensors, whereas increased local field intensity is of interest for spectroscopy and nonlinear optics. Nanostructured metals allow us to achieve both of these goals by confining and focusing light below the normal diffraction limit, with the help of surface plasmons. Consequently, the understanding of how surface plasmons behave in nanoholes is important to the field of nanophotonics. In this paper we consider two different hole shapes: the rectangle and the double hole. We show that decreasing the short edge in a rectangular hole increases the wavelength of light that can propagate in the hole. We show that for a 15 nm hole in a real metal, the cut-off wavelength is more than doubled. Next we consider the double hole configuration, where the holes overlap to produce two apexes. We show that the local field in the nanometric vicinity of the apexes is 5 orders of magnitude larger than the field elsewhere. We calculate the optimum centre-to-centre spacing for the double-holes to maximize the cut-off wavelength and we calculate the dispersion of the light propagation near that wavelength.
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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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".