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

Two Beam Coupling Polarization Properties in BSO Using Alternating Electric Fields

Not Accessible

Your library or personal account may give you access

Abstract

Because of the inherent loss of optical systems, image amplification can be required in massively parallel optical architectures. This amplification can be obtained through the two wave mixing interaction in photorefractive crystals [1]. However, for sensitive material such as sillenite crystals one has to compensate for the relatively low electrooptic coefficient by an appropriate enhancement recording technique. One method to enlarge the photorefractive gain is to apply an alternating field to the crystal [2]. Consequently all the properties of the amplified beam (phase, polarization and intensity) will oscillate at the electric field frequency. Therefore, special care should be taken when inserting such an amplifier in an optical system so that the time dependent characteristics of the amplified beam are not disturbing the operation of any next non linear device. For this reason, using the coupled wave formalism [3], we study in the following all the features of the amplified beam under an alternating electric field.

© 1989 Optical Society of America

PDF Article
More Like This
Influence of alternating electric field characteristics on the amplification of photorefractive two-beam coupling in Bi12GeO20

C. BESSON, J. M. C. JONATHAN, and G. ROOSEN
WF34 Conference on Lasers and Electro-Optics (CLEO:S&I) 1989

Polarization properties of two-beam coupling with running gratings in BSO

Abdellatif Marrakchi, R. V. Johnson, and Armand R. Tanguay
FG3 OSA Annual Meeting (FIO) 1986

Two-wave Mixing Gain in BSO with Applied Alternating Electric Fields

Michael A. Krainak and Frederic M. Davidson
MF11 Nonlinear Optical Properties of Materials (NLOPM) 1988

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.