Radiation build-up and dissipation in random fiber laser
Shengtao Lin, Zinan Wang, Jiaojiao Zhang, Pan Wang, Han Wu, Yifei Qi

TL;DR
This paper explores the transient dynamics of random fiber lasers, revealing unique build-up and dissipation behaviors through theoretical and experimental analysis, highlighting differences from conventional lasers.
Contribution
It is the first to analyze the transient build-up and dissipation processes of RFLs, providing new insights into their dynamic behavior.
Findings
RFL build-up follows logistic growth curves without cavity features
Radiation build-up duration decreases with increasing pump power
Spectral evolution involves two phases: density increase and broadening
Abstract
Random fiber laser (RFL) is a complex physical system that arises from the distributed amplification and the intrinsic stochasticity of the fiber scattering. There has been widespread interest in analyzing the underlying lightwave kinetics at steady state. However, the transient state, such as the RFL build-up and dissipation, is also particularly important for unfolding lightwave interaction process. Here, we investigate for the first time the RFL dynamics at transient state, and track the RFL temporal and spectral evolution theoretically and experimentally. Particularly, with the contribution of randomly distributed feedback, the build-up of RFL shows continuous Verhulst logistic growth curves without cavity-related features, which is significantly different from the step-like growth curve of conventional fiber lasers. Furthermore, the radiation build-up duration is inversely related…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsRandom lasers and scattering media · Advanced Fiber Laser Technologies · Quantum optics and atomic interactions
