Simulation of crosstalk in integrated distributed feedback laser-photodiode optical transceivers
Bibliographic record
Abstract
In this paper, modulation crosstalk from 1310nm Distributed Feedback laser (DFB) upstream signals to 1490nm downstream signals in the monolithic integrated DFB-PD (Distributed Feedback laser-Photodiode) optical transceiver structure was simulated by the time-domain traveling wave (TDTW) rate equations numerically. It was found that high differential gain coefficient at 1490nm can contribute to the modulation crosstalk at about -25 to -30 dB. It was also found that the modulation crosstalk is modulation frequency dependent which will be enhanced about 3 dB at the relaxation oscillation frequency compared with low modulation frequency. Increasing modulation extinction ratio of the 1310nm DFB section from 10 to 18 dB, the crosstalk increases 3 dB. Such a higher modulation crosstalk (larger than -30 dB) should be considered since such crosstalk will degrade strongly the sensitivity of the 1490nm photo-detector.
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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 | 0.001 |
| 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 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".