UV transparent and tuneable on-fibre polymeric phase masks for fibre and planar waveguide Bragg grating fabrication
Bibliographic record
Abstract
UV transparent coatings have been used on optical fibres for direct writing of Bragg gratings without stripping-off the coating. In this paper we demonstrate a phase-mask as part of the coating of an optical fibre. We have fabricated these UV transparent, polymer phase-masks by moulding them on a holographic glass phase-mask in contact with optical fibres. These translation insensitive phase-masks have been used to fabricate fibre Bragg gratings by direct exposure to 266 nm UV radiation. Because of the nature of the polymer, the period of the phase-mask can be tuned by simple mechanical elongation, therefore changing the inscribed Bragg wavelength of the grating. We report the writing of multiple Bragg gratings in a fibre using the same polymeric phase mask. We have also used these phase-masks as stand-alone stretch tunable devices for use in a UV interferometer. These phase-masks are versatile and very cheap to replicate as they require a single phase mask. With a tunability of nearly a 1000 nm, we can write a grating with a Bragg wavelength anywhere in the full C and L telecommunication band, using a single phase mask. We believe that this technique will open new possibilities in sensing and Bragg grating fabrication of chirped and other novel filters by local deformation of the phase-mask. The concept of "dark gratings" will allow gratings to be fabricated without stripping the fibre at some time in the future, as and when required.
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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) | 0.001 | 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".