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

Gas thermometry by Fourier analysis of rotational coherent anti-Stokes Raman scattering

Not Accessible

Your library or personal account may give you access

Abstract

Using Fourier analysis, the periodicity of rotational coherent anti-Stokes Raman scattering spectra is shown to offer a new possibility for gas-temperature evaluation. In a simple way, this approach can be used for data reduction leading to a rapid temperature-evaluation procedure.

© 1985 Optical Society of America

Full Article  |  PDF Article
More Like This
Hybrid femtosecond/picosecond coherent anti-Stokes Raman scattering for high-speed gas-phase thermometry

Joseph D. Miller, Mikhail N. Slipchenko, Terrence R. Meyer, Hans U. Stauffer, and James R. Gord
Opt. Lett. 35(14) 2430-2432 (2010)

Single-shot gas-phase thermometry using pure-rotational hybrid femtosecond/picosecond coherent anti-Stokes Raman scattering

Joseph D. Miller, Sukesh Roy, Mikhail N. Slipchenko, James R. Gord, and Terrence R. Meyer
Opt. Express 19(16) 15627-15640 (2011)

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

Figures (5)

You do not have subscription access to this journal. Figure files 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

Equations (11)

You do not have subscription access to this journal. Equations 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.