旋转准相位匹配光子晶体中的涡旋光子弹

IF 5.3 1区 数学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
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引用次数: 0

摘要

我们提出了一种在具有二次非线性的旋转准相位匹配(QPM)光子晶体中生成稳定涡旋光弹(LB)的方法。光子晶体采用棋盘式结构设计,利用当代先进技术可以实现这种结构。在此框架内,观察到了方形和菱形 LB,这两种 LB 都是四峰涡旋模式。控制参数包括有效相位失配、功率、旋转频率和棋盘格的大小。这些参数在决定涡流 LB 的分布和稳定域方面起着关键作用。与在二维(2D)二次系统中观察到的稳定涡孤子不同,在三维旋转系统中研究的枸杞子在系统参数空间内表现出更窄的稳定域。旋转频率导致枸杞子从四极模式过渡到传统的涡旋模式。这项研究有望应用于光通信和信息处理领域。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Vortex light bullets in rotating Quasi-Phase-Matched photonic crystals

We present a methodology for the generation of stable vortex light bullets (LBs) in rotating Quasi-Phase-Matched (QPM) photonic crystals with quadratic nonlinearity. The photonic crystal is designed with a checkerboard structure, which is feasible to realize by using contemporary technological advancements. Within this framework, square- and rhombus-shaped LBs are observed, both of which are constructed as four-peak vortex mode. The control parameters include the effective phase mismatch, power, rotating frequency, and the size of checkerboard cells. These parameters play key roles in determining the distribution and stability domains of vortex LBs. In contrast to the stable vortex solitons observed in two-dimensional (2D) quadratic systems, the LBs investigated in the 3D rotating system exhibit narrower stability domains within the system’s parameter space. The rotating frequency results in the transition of LBs from quadrupole to traditional vortex modes. Potential applications of this research lie in the field of optical communications and information processing.

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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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