Inscription of Long Chirped Fiber Bragg Gratings in a Nonuniform Fiber for Wide-Range Tunable Delay Line
Bibliographic record
Abstract
A wide-range tunable delayline with long delay time is achieved based on a 50 cm long chirped fiber Bragg grating (FBG) in a nonuniform hybrid fiber. The chirped fiber Bragg grating is inscribed by a standing wave formed by two counter-propagating continuous-wave lights, which induces a periodical refractive index change due to high photosensitivity of As2Se3 core and creates a standard FBG along the whole nonuniform taper section. A 50 cm long chirped FBG is obtained from the inscribed standard FBG by streching the nonuniform As2Se3-PMMA tapered fiber. The delay time is larger than that using traditional chirped FBGs due to the long inscribed section and the high refractive index of the fiber core and the large tunable range is attributed to the the low stiffness of the micron diameter As2Se3 core and PMMA cladding. The maximum delaytime is ~10 ns and the maximum tunable delay time is 0.417 ns at the wavelength of 1553.5 nm, which is, to the best of our knowledge, the largest tunable delay time ever reported in a chirped FBG. The delayed performance can be tailored by designing the nonuniform profile of the inscribed tapered fiber.
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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) | 0.000 | 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".