Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Journal of Lightwave Technology
  • Vol. 22,
  • Issue 3,
  • pp. 903-
  • (2004)

A Novel Supercell Overlapping Method for Different Photonic Crystal Fibers

Not Accessible

Your library or personal account may give you access

Abstract

A novel supercell overlapping method is developed to analyze the photonic crystal fibers (PCFs). The electric field is decomposed using the localized Hermite-Gaussian functions, and the dielectric constant of the PCF missing the central air hole is considered as the sum of two different periodic dielectric structures of virtual perfect photonic crystals (PCs). The structures of both virtual PCs are expanded in cosine functions. From the wave equations and the orthonormality of Hermite-Gaussian functions,the propagation characteristics of the PCF, such as the mode field distribution,the effective area, the birefringence, and the dispersion properties, are obtained. There are fewer computations, and all the elements of the eigenvalue equation are analytical. We are convinced that this novel method is accurate and efficient due to the numerical calculation processes and its results.

© 2004 IEEE

PDF Article
More Like This
Supercell lattice method for photonic crystal fibers

Wang Zhi, Ren Guobin, Lou Shuqin, and Jian Shuisheng
Opt. Express 11(9) 980-991 (2003)

Compact supercell method based on opposite parity for Bragg fibers

Wang Zhi, Ren Guobin, Lou Shuqin, Liang Weijun, and Shangping Guo
Opt. Express 11(26) 3542-3549 (2003)

Meshed index profile method for photonic crystal fibers with arbitrary structures

Kwang No Park and Kyung Shik Lee
Opt. Express 16(17) 13175-13187 (2008)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

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.