Persistence and Stochastic Periodicity in the Intensity Dynamics of a Fiber Laser During the Transition to Optical Turbulence
Laura Carpi, Cristina Masoller

TL;DR
This paper investigates the transition to optical turbulence in a fiber laser, revealing persistent and stochastic periodic behaviors in the intensity dynamics, and models these correlations with a simple approach.
Contribution
It introduces a novel analysis of the laminar-turbulence transition in fiber lasers, highlighting the role of persistence and stochastic periodicity in the intensity dynamics.
Findings
Temporal correlations can be accurately modeled during the transition.
Complex high-dimensional data can be represented by simple models.
The study enhances understanding of laser turbulence dynamics.
Abstract
Many natural systems display transitions among different dynamical regimes, which are difficult to identify when the data is noisy and high dimensional. A technologically relevant example is a fiber laser, which can display complex dynamical behaviors that involve nonlinear interactions of millions of cavity modes. Here we study the laminar-turbulence transition that occurs when the laser pump power is increased. By applying various data analysis tools to empirical intensity time series we characterize their persistence and demonstrate that at the transition temporal correlations can be precisely represented by a surprisingly simple model.
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