Dynamic focusing of chirped Pearcey Gaussian pulses in dispersion-modulated optical fibers

IF 5.3 1区 数学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS Chaos Solitons & Fractals Pub Date : 2025-03-06 DOI:10.1016/j.chaos.2025.116260
Xiang Zhang , Yanxia Gao , Changwen Xu , Dianyuan Fan , Lifu Zhang
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Abstract

We have conducted a thorough investigation, both theoretically and numerically, into the propagation dynamics of chirped Pearcey-Gaussian (PG) pulses in optical fibers featuring linearly and periodically varying group velocity dispersion (GVD). We derived analytical formulas for the focusing distances, which were verified through numerical simulations. In media with linear GVD modulation, unchirped PG pulses exhibit single or double focusing behavior depending on the sign and magnitude of dispersion parameters, while chirped PG pulses can display triple or quadruple focusing behavior, all of which are controllable. In contrast, for media with periodic GVD modulation, unchirped PG pulses undergo single focusing, and their periodic evolution is influenced by the modulation. However, the inclusion of chirp enables the regulation of both the focusing distance and the number of focusing events. These findings hold promise for enhancing the versatility of PG pulses in applications such as microparticle manipulation, laser processing, and spectroscopy, and may provide valuable insights into the control of PG pulses under nonlinear conditions.
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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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