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

Measurements of the nonlinear refractive index in low-index materials at 0.53 and 1.06 μm

Not Accessible

Your library or personal account may give you access

Abstract

The nonlinear refractive index n2 is an important parameter for use in the design of high-power laser systems, such as the large systems employed in laser fusion research and ultrashort-pulse lasers used in a large variety of laboratory experiments. Empirical relationships have been developed for predicting n2 for low index of refraction optical materials.1 These models predict the dependence of n2 (for a given frequency) on material parameters and on laser frequency (for a given material). The relationships have proved useful in providing guidance for the development of low n2 materials. However, the dispersion in n2 predicted has not been experimentally verified due to the difficulty of making accurate measurements of n2 as a function of wavelength. We report the results of measurements (Table I) of the dispersion in n2 for a variety of optical materials including BK7 and fused silica.

© 1984 Optical Society of America

PDF Article
More Like This
Four-wave mixing in semi-insulating InP:Fe and GaAs:Cr at 1.06 μm using the photo-refractive effect

A. M. Glass, A. M. Johnson, D. H. Olson, W. M. Simpson, and A. A. Ballman
THM3 Conference on Lasers and Electro-Optics (CLEO:S&I) 1984

Laser-Plasma Interaction Experiments at the 0.53-μm Novette Facility,*

E. M. Campbell
TuFF2 International Quantum Electronics Conference (IQEC) 1984

Scattered light measurements from disk targets irradiated with laser wavelengths at 1.06, 0.53, and 0.35 µm

R. E. Turner, E. M. Campbell, W. C. Mead, F. Ze, C. Max, D. W. Phillion, P. Lee, B. Pruett, G. Tirsell, and B. F. Lasinski
THP2 Conference on Lasers and Electro-Optics (CLEO:S&I) 1982

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.