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

Stimulated anti-Stokes Raman scattering in inverted atomic selenium

Not Accessible

Your library or personal account may give you access

Abstract

The generation of 145.6-nm radiation by stimulated anti-Stokes Raman scattering in inverted atomic selenium was first reported by Ludewigt et al.1 We have performed experimental studies of this process in similar excitation conditions, which allow us to compare some of the results in the two studies. The inverted population of the selenium (4p4)1S0 metastable state relative to the (4p4)3P0 state was prepared by photodissociation of COSe vapor using broadband 193-nm radiation from an ArF excimer laser. The pump beam at 205.1 nm was generated by the first-order Stokes shift in deuterium of narrowband (0.27-cm–1), 193-nm radiation from a separate, tunable ArF laser. The pump beam was tuned near the selenium (4p4)1S0–(4p35s)3P1 intermediate resonance to generate tunable, coherent radiation at 145.6 nm. We have studied the process in a variety of experimental conditions. Factors affecting the conversion efficiency and tunability include the initial COSe pressure, the intensities and relative timing of the photolyzing and pump beams, and the presence of buffer gases. The experimental results are compared with theoretical calculations based on a recently developed three-level model2 which incorporates Doppler broadening and arbitrary decay times.

© 1989 Optical Society of America

PDF Article
More Like This
Anti-Stokes Raman laser

J. C. White and D. Henderson
THB3 Conference on Lasers and Electro-Optics (CLEO:S&I) 1982

Anti-Stokes Raman Lasers

J. C. White and D. Henderson
MC2 Laser Techniques for Extreme Ultraviolet Spectroscopy (EUVS) 1982

Anti-Stokes generation in stimulated Raman scattering

M. Scalora, C.M. Bowden, and J. W. Haus
ThL.8 OSA Annual Meeting (FIO) 1993

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.