Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Conference on Lasers and Electro-Optics Europe
  • Technical Digest Series (Optica Publishing Group, 2000),
  • paper CFH8

Search and characterization of new crystals for Raman lasers

Not Accessible

Your library or personal account may give you access

Abstract

In the last years, much attention has been paid to stimulated Raman scattering (SRS) in synthetic crystals due to the possibility of designing all-solid-state lasers emitting radiation at the specified wavelength for both visible and IR spectral regions. In this report we present the results on spectroscopic study and laser characterization investigation of some perspective classes of Raman materials Our recent measurements of spontaneous Raman spectra showed that several new molybdate and tungstate Raman crystals, including BaWO4 and BaMoO4 are suitable for efficient SRS They possessed high peak and high integral Raman scattering cross sections and could be used for SRS of both nano- and picosecond pump pulses [1,2] New barium tungstate Raman crystal has the value of integral Raman scattering cross-section same as KGd(WO4)2 crystal and twice higher than Ba(NO3)2. The SRS mode linewidth in BaWO4 is 1.6 cm−1 and is 5 times narrower than that in KGd(WO4)2 This results in four times higher peak cross-section which reaches the value of that in Ba(NO3)2 the best Raman crystal

© 2000 IEEE

PDF Article
More Like This
New crystals for stimulated Raman scattering

P. G. Zverev and T. T. Basiev
CMO1 Conference on Lasers and Electro-Optics (CLEO:S&I) 2000

Tungstate and Molybdate Crystals for Raman Lasers

P. G. Zverev
MTh5A.4 Laser and Tera-Hertz Science and Technology (LTST) 2012

Stimulated Raman Scattering in new barium tungstate crystal

P. G. Zverev and T. T. Basiev
NRCBP44 The European Conference on Lasers and Electro-Optics (CLEO/Europe) 2001

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.