Polarization Independent All-Optical 3R Regeneration Based on the Kerr Effect in Highly Nonlinear Fiber and Offset Spectral Slicing
Bibliographic record
Abstract
A detailed experimental characterization of a polarization-independent all-optical 3R regenerator is presented. The regenerator is comprised of a self-pulsating distributed feedback laser for clock recovery, cross-phase modulation in a highly nonlinear fiber (HNLF) and offset spectral slicing for retiming, and self-phase modulation in an HNLF and offset spectral slicing for reshaping. A key feature of the regenerator is that polarization-independent operation is achieved without additional complexity as compared to a conventional polarization-dependent implementation. The regenerator performance is assessed for important properties of the input signal, including the optical signal-to-noise ratio, waveform distortion due to residual group velocity dispersion and polarization mode dispersion, state-of-polarization, power, and wavelength. With careful attention to key design parameters, excellent performance is achieved.
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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 | 0.000 |
| 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".