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

Self-focusing-induced saturable loss for laser mode locking

Not Accessible

Your library or personal account may give you access

Abstract

Self-focusing has recently been used for fast saturable absorber mode locking and femtosecond pulse generation in Ti:Al2O3 lasers. We describe the operation, design, and optimization of self-focusing loss modulators for mode locking. A new formalism is developed that simplifies the treatment of self-focusing in thick nonlinear media by using a simple transform of the complex Gaussian beam parameter. Theoretical predictions are confirmed by experimental measurements.

© 1992 Optical Society of America

Full Article  |  PDF Article
More Like This
Self-mode-locking of Ti:sapphire lasers: a matrix formalism

Oscar E. Martínez and Juan L. A. Chilla
Opt. Lett. 17(17) 1210-1212 (1992)

Kerr lens mode locking

T. Brabec, Ch. Spielmann, P. F. Curley, and F. Krausz
Opt. Lett. 17(18) 1292-1294 (1992)

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

Figures (3)

You do not have subscription access to this journal. Figure files 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

Equations (11)

You do not have subscription access to this journal. Equations 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.