BRAGGATIR: Bragg and total internal reflection waveguides
Bibliographic record
Abstract
A novel type of waveguides utilizing simultaneously Bragg reflection and TIR (total internal reflection) for light confinement is proposed and studied. The BRAGGATIR waveguides combine the advantages of Bragg waveguides and lateral ARROWs (antiresonant reflecting optical waveguides) -- namely, large core sizes allowing easy and low loss fiber coupling and their reduced sensitivity to fabrication errors, with the properties of high index contrast ridge waveguides which tolerate small bending radius. Since the proposed waveguides have only one Fabry-Perot layer, they are more compact compared to the Bragg waveguides. Moreover, the large dispersion of the BRAGGATIR waveguides near the resonances may find applications in optical signal processing. Beam propagation method (BPM) and mode solver numerical simulations were performed and the bending losses of different waveguides, namely BRAGGATIR, ridge and ARROW, were compared for different bending radii down to 10 microns. The results demonstrate advantage of the proposed waveguides allowing very small radius ring resonators with large free spectral range and more compact integrated optics devices.
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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 | 0.001 | 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".