Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • CLEO/Europe and EQEC 2009 Conference Digest
  • (Optica Publishing Group, 2009),
  • paper CK3_3

Dispersion of the nonlinear refractive index in photonic bandgap waveguides

Not Accessible

Your library or personal account may give you access

Abstract

The magnitude and dispersion of the nonlinear refractive index are crucial parameters for transmission of high power pulses through optical waveguides. Although the wavelength dependence is usually weak in conventional waveguides like standard fibers, the nonlinear refractive index is expected to change more drastically near the bandgap of photonic bandgap waveguides like hollow core fibers. Consequently, the nonlinear refractive index of the carrier, n2phase, and of the group, i. e. the pulse envelope, defined as n2group=n2phaseλdn2phase/dλ become different in this wavelength region. It may lead to excess carrier-envelope-offset (CEO) phase noise of optical frequency combs after transmission through a hollow-core fiber. Such excess CEO phase noise arises due to different AM-PM conversion for the carrier phase and envelope timing [1].

© 2009 IEEE

PDF Article
More Like This
Experimental demonstration of refractive index scaling in photonic bandgap fibers

G. Antonopoulos, F. Benabid, T. A. Birks, D. M. Bird, G. Bouwmans, J. C. Knight, and P. St. J. Russell
CThHH1 Conference on Lasers and Electro-Optics (CLEO:S&I) 2004

Optically-induced “photonic bandgap fiber” with a low refractive index core

Xiaosheng Wang, Zhigang Chen, and Jianke Yang
CTuK5 Conference on Lasers and Electro-Optics (CLEO:S&I) 2006

Nonlinear Femtosecond Pulse Propagation in All-Solid Photonic Bandgap Fiber

T. Martynkien, B. Kibler, C. Finot, J. Fatome, M. Szpulak, J. Wojcik, S. Wabnitz, and W. Urbanczyk
CMW2 Conference on Lasers and Electro-Optics (CLEO:S&I) 2009

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.