Modeling of stimulated Brillouin scattering in microstructured fibers
Bibliographic record
Abstract
Microstructured optical fibers (MOFs), including Holey and multi-layered fibers have attracted great interest both in applications and theory due to their wide range of novel optical properties particularly adjustable nonlinearity. Up to date, analytical/numerical models have been developed to determine the electromagnetic fields distribution in the transverse directions and for various MOFs. We have developed a general three dimensional (considering cylinderical symmetry) analytical-numerical model of Stimulated Brillouin scattering in MOFs in which both electromagnetic field distribution in the transverse direction and its propagation due to a nonlinear effect (Brillouin scattering) is studied. The model has been employed to describe the Stimulated Brillouin Scattering phenomena in single and multi-mode core-cladding fibers. We examine how the structure of such a fiber like core size, index profile, and the laser wavelength affect the Brillouin profile in single and multi-mode regimes. We refer to a specific application of Brillouin scattering in fibers i.e. Brillouin based fiber optic sensors and specify the parameter space (core size, index profile, wavelength) for optimum sensing capability.
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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 | 0.001 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".