Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Conference on Lasers and Electro-Optics
  • OSA Technical Digest (Optica Publishing Group, 1996),
  • paper CTuL4

Kilohertz Cr:forsterite regenerative amplifier

Not Accessible

Your library or personal account may give you access

Abstract

Cr:forsterite is a vibronic laser source tunable in the near-infrared spectral region filling the void in the range 1.15–1.35 μm.1 In the past, Cnforsterite lasers have been operated in pulsed, cw and femtosecond mode-locked modes. In this paper, we report for the first time, to our knowledge, on the operation of a regenerative amplifier system based upon Cr: forsterite. Self-mode-locked Cnforsterite lasers have generated pulses as short as 25 fs;2 theoretically the large bandwidth of the Cnforsterite laser emission can support sub-20-fs pulses. To minimize optical damage in the amplifier rod we have utilized the technique of chirped pulse amplification (CPA).3 CPA when used together with regenerative amplification has proved to be a successful technique for generating micro- and millijoule ultrashort pulses from systems based on solid-state laser crystals such as Ti:sapphire and Cr:LiSAF.

© 1996 Optical Society of America

PDF Article
More Like This
Femtosecond Cr: forsterite regenerative amplifier operating at 5-10 kHz

V. Petrov, F. Noack, and F. Rotermund
CThM16 Conference on Lasers and Electro-Optics (CLEO:S&I) 2003

All-Solid-State Diode-Pumped Tunable Femtosecond Cr:LiSAF Oscillator/Regenerative Amplifier

R. Mellish, R. Jones, N. P. Barry, S. C. W. Hyde, P. M. W. French, J. R. Taylor, C. J. van der Poel, and A. Valster
PL6 Advanced Solid State Lasers (ASSL) 1996

Chirped pulse amplification in a Cr:LiSAF regenerative amplifier

P. Beaud, E. Miesak, Y-F. Chen, B. H. T. Chai, and M. C. Richardson
CFD3 Conference on Lasers and Electro-Optics (CLEO:S&I) 1992

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.