Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Chinese Optics Letters
  • Vol. 14,
  • Issue 9,
  • pp. 091403-
  • (2016)

Titanium dioxide-based Q-switched dual wavelength in the 1 micron region

Not Accessible

Your library or personal account may give you access

Abstract

In this work a passively Q-switched dual-wavelength ytterbium-doped fiber laser using a titanium dioxide-based saturable absorber is proposed and proven. The system also utilizes a side-polished fiber in a ring cavity configuration to obtain the desired pulse train. A stable dual-wavelength pulse output is obtained at 1034.7 and 1039.0 nm, with a maximum pulse energy of 2.0 nJ, and a shortest pulse width of 3.2 μs. The generated pulse train is stable, and has a pulse repetition rate from 31.2 to 64.5 kHz.

© 2016 Chinese Laser Press

PDF Article
More Like This
Titanium dioxide fiber saturable absorber for Q-switched fiber laser generation in the 1-micrometer region

M. F. A. Rahman, P. H. Reddy, M. C. Paul, S. Das, A. Dhar, M. F. Baharom, A. A. Latiff, M. F. M. Rusdi, P. Wang, K. Dimyati, and S. W. Harun
Appl. Opt. 58(13) 3495-3500 (2019)

Photonic crystal fiber based dual-wavelength Q-switched fiber laser using graphene oxide as a saturable absorber

H. Ahmad, M. R. K. Soltanian, C. H. Pua, M. Alimadad, and S. W. Harun
Appl. Opt. 53(16) 3581-3586 (2014)

Passively Q-switched erbium-doped fiber laser at C-band region based on WS2 saturable absorber

H. Ahmad, N. E. Ruslan, M. A. Ismail, S. A. Reduan, C. S. J. Lee, S. Sathiyan, S. Sivabalan, and S. W. Harun
Appl. Opt. 55(5) 1001-1005 (2016)

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.