Influence of modulator chirp in assessing the performance implications of the group delay ripple of dispersion compensating fiber bragg gratings
Bibliographic record
Abstract
The implications that the group delay ripple (GDR) of a dispersion compensating fiber Bragg grating have on transmission system performance depend on the chirp of the modulated optical signal. The wide range in the chirp properties of optical modulators and the irregular variation of the GDR over the modulated signal bandwidth make it difficult to obtain general results for the transmission performance. Using four modulators with distinct chirp properties and measured reflection spectra for two dispersion compensating gratings (DCGs), the combined effect of modulator chirp and GDR on the performance of 10-Gb/s nonreturn-to-zero dispersion compensated systems is considered. Calculated and measured results demonstrate that, to accurately assess the implications of the GDR, the chirp properties of the modulated optical signal must be considered. The relative performance obtained for distinct modulators may vary significantly, depending on the details of the chirp and GDR.
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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 | 0.001 | 0.003 |
| 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".