Pulse narrowing in optical components with polarization mode dispersion using polarization controls
Bibliographic record
Abstract
An algorithm capable of finding the input and output states ofpolarization for maximum pulse narrowing at the output of an optical fiber with polarization mode dispersion (PMD) is analytically presented and numerically solved. It is always possible to obtain output pulses which are narrower than the input pulses when PMD is compensated by controlling both the input polarization as well as the receiver polarization states. This anomalous effect was shown to be exclusively due to PMD as no chromatic dispersion or polarization dependent losses were assumed. We report the detailed study for the cases in which the fiber consists oftwo, three and five hundred segments ofhighly-birefringent (Hi-Bi) fiber. The solution shows the existence of two orthogonal input and output states ofpolanzation (different from those introduced by Poole et. al.) under which the integrity of the pulse is preserved and the pulsewidth at the output is the narrowest possible. The cost to be paid for this improvement is a reduction ofthe optical power in the output pulse.
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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 | 0.001 |
| 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".