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

Refractive Index Profile Determination of Graded-index (GRIN) Waveguides from Near-Field Measurements

Not Accessible

Your library or personal account may give you access

Abstract

Knowledge of the refractive index profile (RIP) of graded-index (GRIN) waveguides can yield important characteristics necessary for photonic device design involving ion-exchanged waveguides in glass, proton-exchanged guides in LiNbO3, or other GRIN fabrication techniques. Thus, it is very important to establish an efficient, non-destructive and accurate method to determine the RIP. In the literature, many such methods have been proposed [1, 2, 3] one of which includes the well-established inverse method of RIP reconstruction from near-field measurements of the fundamental mode intensity distribution [4, 5]. Profiles for planar and channel guides have been determined by measuring the near-field intensity with infrared vidicon tubes that need to be corrected for their non-linear response. In this paper, we propose a more accurate approach using a CCD camera to image the near-field pattern and a frame grabber to capture it pixel-by-pixel. Once this pattern is measured, a simple numerical solution of the Helmholtz equation is carried out to determine the RIP from its digitized near-field image.

© 1994 Optical Society of America

PDF Article
More Like This
Refracted-near-field analyses for refractive-index profiles of integrated LiNbO3 waveguides

B. Groebli, B. Gisin, R. Passy, and N. Gisin
FB5 Optical Fiber Communication Conference (OFC) 1994

Use of a Prism Coupler for the Determination of the Index Profiles of Ion-Exchanged Channel Waveguides

Martin N. Weiss and Ramakant Srivastava
GTuD2 Gradient-Index Optical Imaging Systems (GIOIS) 1994

New method for measuring the distribution of refractive index in blanks for GRIN optical elements

L.A. Gerasimova
GWA4 Gradient-Index Optical Imaging Systems (GIOIS) 1994

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.