Generation of ring-shaped optical vortices in dissipative media by inhomogeneous effective diffusion
Shiquan Lai, Huishan Li, Yunli Qui, Xing Zhu, Dumitru Mihalache, Boris, A. Malomed, Yingji He

TL;DR
This paper demonstrates the controlled generation of various stable ring-shaped optical vortices in dissipative media using inhomogeneous effective diffusion, with potential applications in structured light technologies.
Contribution
It introduces a novel method to generate and control diverse ring-shaped optical vortices via inhomogeneous diffusion in the complex Ginzburg-Landau model.
Findings
Stable square- and gear-shaped optical vortices were generated.
Shape and stability of vortices can be tuned by diffusion parameters.
New types of ring-shaped optical vortices with potential applications were identified.
Abstract
By means of systematic simulations we demonstrate generation of a variety of ring-shaped optical vortices (OVs) from a two-dimensional input with embedded vorticity, in a dissipative medium modeled by the cubic-quintic complex Ginzburg-Landau equation with an inhomogeneous effective diffusion (spatial-filtering) term, which is anisotropic in the transverse plane and periodically modulated in the longitudinal direction. We show the generation of stable square- and gear-shaped OVs, as well as tilted oval-shaped vortex rings, and string-shaped bound states built of a central fundamental soliton and two vortex satellites, or of three fundamental solitons. Their shape can be adjusted by tuning the strength and modulation period of the inhomogeneous diffusion. Stability domains of the generated OVs are identified by varying the vorticity of the input and parameters of the inhomogeneous…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsNonlinear Dynamics and Pattern Formation · Advanced Fiber Laser Technologies · Nonlinear Photonic Systems
