Simultaneously Self-Inscribed Antisymmetric Long-Period Grating and Antisymmetric Apodized Fiber Bragg Grating in a Dual-Core As$_{2}$Se$_{3}$-PMMA Tapered Fiber
Bibliographic record
Abstract
We report for the first time that transmission of optical light centered at a wavelength of 1549.8 nm through a tapered dual-core As2Se3-PMMA fiber simultaneously inscribes an antisymmetric long-period grating and an antisymmetric apodized fiber Bragg grating. The evolutions of the transmission spectrum, and the back-reflected spectrum of the dual-core fiber are experimentally measured as the accumulated exposure time increases. The bandwidth of the antisymmetric apodized fiber Bragg grating is measured, and a narrow bandwidth of 3.5 GHz (0.028 nm) with ~100% reflectivity (~32 dB contrast) is observed. A theoretical model of an antisymmetric apodized fiber Bragg grating in a dual-core fiber computationally reproduces the experimentally observed evolution of the transmission spectrum and the back-reflected spectrum. Both theory, and experiment reveal for the first time that such structure requires dual phase-matching conditions. It is also the first time that one single reflection peak of a fiber Bragg grating is observed on a dual-core multimode fiber that supports two modes due to the satisfying of dual-phase matching conditions. The performance of this device as an optical filter is investigated. The antisymmetric apodized structure provides a novel method for achieving apodized fiber Bragg gratings with narrow bandwidth, high reflectivity, and suppression of side-lobes. The simultaneously inscribed antisymmetric long-period grating and antisymmetric apodized fiber Bragg grating in the dual-core As2Se3-PMMA taper opens the path towards the realization of novel sensors and devices.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".