Variation in the performance of multispan 10-Gb/s systems due to the group delay ripple of dispersion compensating fiber Bragg gratings
Bibliographic record
Abstract
The variation in the performance of multispan lightwave systems that use dispersion-compensating fiber Bragg gratings (FBGs) is characterized in terms of the peak-to-peak group delay ripple over the -1dB bandwidth of the gratings. The irregular dependence of the group delay ripple on wavelength, and the variability in the properties of the group delay ripple for nominally identical gratings make it difficult to predict the overall reflection spectrum for a cascade of gratings. The uncertainty in the overall spectrum must be considered in the system design process. By considering 2401 distinct configurations for the gratings in a four-span 320-km system, simulation results are presented that specify the requirement for the group delay ripple in order for the system performance to remain within a specified penalty.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 | 0.000 |
| 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 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".