Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Chinese Optics Letters
  • Vol. 14,
  • Issue 3,
  • pp. 031403-
  • (2016)

Stimulated Brillouin scattering threshold dependent on temporal characteristics in a kilowatt-peak-power, single-frequency nanosecond pulsed fiber amplifier

Not Accessible

Your library or personal account may give you access

Abstract

The stimulated Brillouin scattering (SBS) threshold affected by repetition rate and pulse duration in a single-frequency nanosecond pulsed fiber amplifier is studied. The experimental results demonstrate that the SBS threshold can be improved either by reducing the repetition rate or by narrowing the pulse duration; however, the average power may be limited in some cases. Otherwise, two evaluation methods for the SBS threshold in the fiber amplifier are compared and discussed, aiming to obtain a more accurate description for the SBS threshold in our single-frequency amplifier system.

© 2016 Chinese Laser Press

PDF Article
More Like This
Transverse mode instability induced by stimulated Brillouin scattering in a pulsed single-frequency large-core fiber amplifier

Kyung-Hyun Lee, Kangin Lee, Yonghee Kim, Yong-Ho Cha, Gwon Lim, Hyunmin Park, Hyuck Cho, and Do-Young Jeong
Appl. Opt. 54(2) 189-194 (2015)

Kilowatt-level stimulated-Brillouin-scattering-threshold monolithic transform-limited 100 ns pulsed fiber laser at 1530 nm

Wei Shi, Eliot B. Petersen, Zhidong Yao, Dan T. Nguyen, Jie Zong, Mark A. Stephen, Arturo Chavez-Pirson, and N. Peyghambarian
Opt. Lett. 35(14) 2418-2420 (2010)

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

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.