Wavelength control with grating imprinted fiber Sagnac loop mirror by polarization and strain tuning
Bibliographic record
Abstract
Wavelength control by the use of fiber Bragg grating (FBG) imprinted polarization maintaining fiber (PMF) Sagnac loop mirror (SLM) is proposed and demonstrated through polarization and strain tuning. The Bragg wavelengths of the FBG in the PMF along slow or fast axis show redshifts with the increase in strain with sensitivities of 8.77×10−4 and 9.11×10−4 nm/με, respectively, whereas the interferometric peak wavelength of the SLM exhibits a blueshift with a sensitivity of 1.9437×10−2 nm/με for the peak with an order number of 420. The opposite strain sensitivities and the pronounced difference in the bandwidth of the FBG resonance peak and that of the SLM, together with the controllability on the wavelength spacing of the SLM neighboring transmission maxima, provide a variety of alternatives to realize wavelength tuning for many practical applications.
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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 | 0.001 | 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".