Bragg gratings in multimode fiber
Bibliographic record
Abstract
Recently, multimode fiber (MMF) and components based on MMF have attracted much attention due to their potential applications in future optical access networks. Fiber Bragg gratings (FBGs) are considered to be key components in both telecommunication and sensing applications. Although single-mode fiber based FBGs (SMFBG) have been studied thoroughly, few studies have been reported on MMFBGs, mainly because of the complexity and multiple mode nature of the MMF. In this paper, transmission and reflection spectra of MMFBGs are studied systematically. Relationships between transmission/reflection spectra and the excitation conditions are clearly demonstrated by observing the far-field pattern. Different launching methods including the lateral offset launching and angular offset launching and light sources with different spectrum width are used in experiments. Furthermore, the transmission/reflection spectra dependence on the polarization state of excitation light and asymmetric refractive index perturbation profile are studied in detail. Theoretical simulations are used to compare these experimental results.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 teacher head, 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".