Real time measurements of ultrafast spontaneous modulation instability and rogue waves in optical fibre
Bibliographic record
Abstract
Modulation instability (MI) is one of the most fundamental processes of nonlinear science, and develops in fibre optics when a weak perturbation on a continuous wave field experiences gain and evolves into strongly-localized “breather” structures. Although MI has been studied for decades, there continues to be intense interest in understanding its dynamics because, when triggered from noise, it generates high amplitude and statistically-rare “rogue waves” of importance in hydrodynamics and optics [1]. Due to experimental limitations, however, directly observing the ultrafast instability dynamics of noise-driven spontaneous MI in optics is extremely challenging and represents a major limitation in our ability to characterize this essential process. In this paper, we use an ultrafast time-lens magnifier system to perform direct measurements of real time temporal structures in MI. Our results show an extended series of transient high intensity breather pulses emerging from noise, and our statistical analysis allows the presence of long tails (rare events) to be readily seen.
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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 | 0.001 |
| 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".