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

Experimental verification of a theoretical model for continuous wave energy transfer dye mixture lasers in the near infrared

Not Accessible

Your library or personal account may give you access

Abstract

We report the experimental verification of a simulation model for cw energy transfer dye lasers. Experimentais results obtained with Rhodamine 610 (donor) and Nile Blue 690 (acceptor) confirm theoretical model predictions.

© 1992 Optical Society of America

Full Article  |  PDF Article
More Like This
On the feasibility of generating cw argon laser pumped energy transfer dye laser emission in the near IR spectral region

Mohamed A. Ali, Basilios Panoutsopoulos, and Samir A. Ahmed
Appl. Opt. 30(3) 312-316 (1991)

Practical method for obtaining spectral distribution of gain in energy transfer dye lasers: comparison of theory and experiment

Mohamed A. Ali, M. El-Massry, and Samir A. Ahmed
Appl. Opt. 29(30) 4494-4498 (1990)

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 (6)

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.