独立可控时空自聚焦对偶Airyprime Hermite复变函数高斯分数波包

IF 5.6 1区 数学 Q1 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
Chao Tan , Yong Liang , Min Zou , Mingwei Liu , Lifu Zhang
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引用次数: 0

摘要

本文研究了基于分数阶Schrödinger方程(FSE)光学系统的二次相位调制(QPM)下双Airyprime Hermite复变函数高斯(dAHCG)波包的可控时空自聚焦特性。通过精心设计衰减系数、分布系数、时域和空域lsamvy指数、QPM系数和二次啁啾,我们实现了对波包形态的灵活控制,同时实现了对其焦距和焦强度的精确控制。这种方法可以实现同步或异步的时空自聚焦,并显著增强了时空焦点处的峰值强度。我们的研究结果为精确调谐波包的时空自聚焦特性提供了一个新的视角,并突出了这些新型基于qpm的波包在光学操纵和激光加工等应用中的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Independent and controllable space-time autofocused dual Airyprime Hermite complex-variable-function Gaussian fractional wave packets
This work investigates the controllable spatiotemporal autofocusing characteristics of dual Airyprime Hermite complex-variable-function Gaussian (dAHCG) wave packets under the quadratic phase modulation (QPM) based on the fractional Schrödinger equation (FSE) optical system. By elaborately engineering the decay factor, distribution coefficient, Lévy index in both time and space domain, QPM coefficient and quadratic chirp, we achieve flexible control over the wave packet's morphology while enabling precise manipulation of its focal length and focal intensity. This approach facilitates simultaneous or asynchronous spatiotemporal self-focusing with significantly enhanced peak intensity at the space-time focal point. Our findings provide a new perspective on precisely tuning spatiotemporal self-focusing properties of wave packets and highlight the potential of these novel QPM-based wave packets in applications such as optical manipulation and laser 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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