Langevin’s model for soliton molecules in ultrafast fiber ring laser cavity: Investigating experimentally the interplay between noise and inertia

IF 5.6 1区 数学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Anastasiia Sheveleva, Aurélien Coillet, Christophe Finot, Pierre Colman
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引用次数: 0

Abstract

The dynamics of soliton molecules in ultrafast fiber ring laser cavity is strongly influenced by noise. We show how a parsimonious Langevin model can be constructed from experimental data, resulting in a mathematical description that encompasses both the deterministic and stochastic properties of the evolution of the soliton molecules. In particular, we were able to probe the response dynamics of the soliton molecule to an external kick in a sub-critical approach, namely without the need to actually disturb the systems under investigation. Moreover, the noise experienced by the dissipative solitonic system, including its distribution and correlation, can now be also analyzed in details. Our strategy can be applied to any systems where the individual motion of its constitutive particles can be traced; the case of optical solitonic-system laser presented here serving as a proof-of-principle demonstration.

Abstract Image

超高速光纤环形激光腔中孤子分子的Langevin模型:噪声与惯性相互作用的实验研究
超快光纤环形激光腔中孤子分子的动力学受到噪声的强烈影响。我们展示了如何从实验数据中构建一个简洁的朗之万模型,从而得到一个包含孤子分子演化的确定性和随机特性的数学描述。特别是,我们能够以亚临界方法探测孤子分子对外部踢动的响应动力学,即不需要实际干扰所研究的系统。此外,耗散孤子系统所经历的噪声,包括其分布和相关性,现在也可以详细分析。我们的策略可以应用于任何系统,只要其组成粒子的单个运动可以被追踪;本文以光孤子系统激光器为例,进行了原理论证。
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来源期刊
Chaos Solitons & Fractals
Chaos Solitons & Fractals 物理-数学跨学科应用
CiteScore
13.20
自引率
10.30%
发文量
1087
审稿时长
9 months
期刊介绍: Chaos, Solitons & Fractals strives to establish itself as a premier journal in the interdisciplinary realm of Nonlinear Science, Non-equilibrium, and Complex Phenomena. It welcomes submissions covering a broad spectrum of topics within this field, including dynamics, non-equilibrium processes in physics, chemistry, and geophysics, complex matter and networks, mathematical models, computational biology, applications to quantum and mesoscopic phenomena, fluctuations and random processes, self-organization, and social phenomena.
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