Zobrazeno 1 - 10
of 720
pro vyhledávání: '"Finot , Christophe"'
Autor:
Kang, Huiyu, Zhou, Anran, Zhang, Ying, Wu, Xiuqi, Yuan, Bo, Peng, Junsong, Finot, Christophe, Boscolo, Sonia, Zeng, Heping
We reveal a new scenario for the transition of solitons to chaos in a mode-locked fiber laser: the modulated subharmonic route. Its universality is confirmed in two different laser configurations, namely, a figure-of-eight and a ring laser. Numerical
Externí odkaz:
http://arxiv.org/abs/2411.08357
Identifying the underlying processes that locally dominate physical interactions is the key to understanding nonlinear dynamics. Machine-learning techniques have recently been shown to be highly promising in automating the search for dominant physics
Externí odkaz:
http://arxiv.org/abs/2404.16916
The conservation of spectral asymmetry is a fundamental feature of the ideal four-wave mixing process as it exists in a medium combining quadratic chromatic dispersion and third-order nonlinearity. We test in this paper the robustness of this invaria
Externí odkaz:
http://arxiv.org/abs/2312.13645
We report on the experimental and numerical observations of synchronisation and desynchronisation of bound states of multiple breathing solitons (breathing soliton molecules) in an ultrafast fibre laser. In the desynchronisation regime, although the
Externí odkaz:
http://arxiv.org/abs/2312.00999
Extreme wave events or rogue waves (RWs) are both statistically rare and of exceptionally large amplitude. They are observed in many complex systems ranging from oceanic and optical environments to financial models and Bose-Einstein condensates. As t
Externí odkaz:
http://arxiv.org/abs/2309.02643
We analyze the dynamics of modulation instability in optical fiber (or any other nonlinear Schr\"{o}dinger equation system) using the machine-learning technique of data-driven dominant balance. We aim to automate the identification of which particula
Externí odkaz:
http://arxiv.org/abs/2306.11888
We demonstrate that the Dynamic Mode Decomposition technique can effectively reduce the amount of noise in Dispersive Fourier Transform dataset; and allow for finer quantitative analysis of the experimental data. We therefore were able to demonstrate
Externí odkaz:
http://arxiv.org/abs/2305.01591
We deploy a supervised machine-learning model based on a neural network to predict the temporal and spectral reshaping of a simple sinusoidal modulation into a pulse train having a comb structure in the frequency domain, which occurs upon nonlinear p
Externí odkaz:
http://arxiv.org/abs/2303.09133
The four-wave mixing process is a fundamental nonlinear interaction in Kerr media that can be described by a closed trajectory in the associated phase plane. We show here that it is possible to manipulate these trajectories and to connect two points
Externí odkaz:
http://arxiv.org/abs/2303.08469
Nonlinear systems with two competing frequencies show locking or resonances. In lasers, the two interacting frequencies can be the cavity repetition rate and a frequency externally applied to the system. Conversely, the excitation of breather oscilla
Externí odkaz:
http://arxiv.org/abs/2208.05091