High-performance all-fiber Fabry-Perot filters with superimposed chirped Bragg gratings
Bibliographic record
Abstract
The performance of large-band Fabry-Perot (FP) filters is investigated through numerical simulations and experimental realization. The limitations of the filters are studied theoretically to determine the impact of the chirped fiber Bragg grating (FBG) imperfections on spectral variations of the free spectral range (FSR), finesse, transmission loss, and polarization dependent loss (PDL). All-fiber FP devices are realized experimentally with finesse reaching 240 and covering a spectral band of 26 nm. For finesse up to 80, the filters present acceptable performance in terms of spectral variations of FSR (±3%), finesse, attenuation (±0.5 dB), PDL (<0.2 dB), and insertion loss (<3 dB).
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".