Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Modal properties of nonlinear parabolic graded-index optical guides

Not Accessible

Your library or personal account may give you access

Abstract

We study the propagation modes in nonlinear planar and circular media that have a transverse parabolic index profile.1 The first mode profiles, as well as their dispersion curves, are calculated numerically. In particular, one observes a splitting of some linear degenerate modes and cutoff of nonlinear modes because of self-focusing limits. A numerical scheme (beam propagation method) is also used to study near-modal propagation under the paraxial approximation. Those results are compared with an approximate analytical calculation based on the variational principle.2 This approach is not limited to small nonlinearities; it describes quite well the amplitude-dependent quasiperiodic propagation observed numerically. Furthermore, it reproduces the modal dispersion curves in a simple way. These results can also be applied to the study of nonlinear radiation modes of the free three-dimensional paraxial wave equation.

© 1990 Optical Society of America

PDF Article
More Like This
Guided and radiation Modes of a Graded-Index Waveguide with Defocusing Nonlinearity

Dmitri V. Petrov
CThJ6 The European Conference on Lasers and Electro-Optics (CLEO/Europe) 1996

Modal phase-matching in graded index waveguides: unsensitive and efficient phase matched configurations in χ2 based nonlinear integrated optics devices.

Maxim Neradovskiy, Hervé Tronche, Elizaveta Neradovskaia, Pierre Aschiéri, Florent Doutre, Tommaso Lunghi, Pascal Baldi, and Marc P. De Micheli
JW2A.36 Advanced Solid State Lasers (ASSL) 2019

Modal and polarization properties of growing frequency doubled light in optical glass fibers

R. I. LAWCONNELL and U. OSTERBERG
QMC2 International Quantum Electronics Conference (IQEC) 1990

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.