Replica symmetry breaking dynamics in high-order optical mode multi-Stokes coherent random fiber laser
Bibliographic record
Abstract
Replica symmetry breaking (RSB), as a distinctive phase transition occurring between the paramagnetic and spin glass states in magnetic systems, has been anticipated and validated in diverse complex systems. Random fiber lasers with intrinsic disorder feedback have proved to exhibit diverse RSB behaviors. To date, significant attention has been mainly focused on RSB phenomena in random fiber lasers that involve only the fundamental optical mode in optical fibers. In this paper, we propose and demonstrate the RSB observation and its transient dynamics of a high-order mode (HOM) random fiber laser based on Brillouin scattering and distributed Rayleigh scattering in a few-mode fibers, for the first time, to the best of our knowledge. In this photonic system, the disorderness is not only provided by randomly distributed Rayleigh scattering and the active interplays among multiple orders of Stokes components but also by additional inter-modal couplings. Ultimately, diverse laser mode landscapes featured by unique random mode densities of the first-order Stokes emission can be aroused, accompanied by optically controlled RSB dynamics. The statistics evidentially show that Parisi’s order parameter q of the first-order HOM Stokes laser beam presents distinct distributions as per specific observation windows. Moreover, RSB dynamics in the proposed disorder system show a prominent dependence on the occurrence of multiple-order Stokes components and the mode purity of the HOM laser beams. It is believed that this approach offers new insight into exploring the underlying physical mechanisms behind the occurrence of the RSB phenomenon in photonic complex systems.
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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 | 0.001 |
| 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".