Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • International Conference on Quantum Electronics
  • OSA Technical Digest (Optica Publishing Group, 1988),
  • paper MP44

THEORY OF NONLINEAR GAUSSIAN-FIELD EXPANSION AND ITS APPLICATION TO COHERENT ANTI-STOKES RAMAN SPECTROSCOPY

Not Accessible

Your library or personal account may give you access

Abstract

Experiments have demonstrated the field-statistical effects due to fluctuations of the frequency-doubled, multimode pump laser fields on the intensities and the line shapes of molecular coherent anti-Stokes Raman spectroscopy (CARS) spectra.1 The accuracy of CARS measurements on species concentrations and temperatures depends on properly accounting for these effects. Theoretical modeling using Gaussian1 and squared-Gaussian2 field-statistics has had only limited success. Since realistic laser field statistics can seldom be described accurately by any idealized models, we propose in this paper a general and systematic expansion of the field in terms of Gaussian and higher-order Gaussian field components. This approach is particularly well suited, to analysis of fields generated by nonlinear optical processes from Gaussian fields. We apply the theory to analyze the pump laser fields in the above CARS experiments. Our calculated results give much better agreement with experiments than previous theories.

© 1988 Optical Society of America

PDF Article
More Like This
Non-Gaussian correlation effects in coherent anti-Stokes Raman spectroscopy

Albert M. F. Lau and Roger L. Farrow
WM1 OSA Annual Meeting (FIO) 1988

Theory of Single-Pulse Femtosecond Coherent Anti-Stokes Raman Scattering Using a Chirped Probe Beam

Paul J. Kinnius, Robert P. Lucht, Sukesh Roy, and James R. Gord
LWA2 Laser Applications to Chemical, Security and Environmental Analysis (LACSEA) 2008

Phase cross correlation in Stokes, anti-Stokes generation

Z. W. Li, C. Radzewicz, and M. G. Raymer
TUS5 OSA Annual Meeting (FIO) 1988

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.