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

Collisional narrowing of the rotational Raman spectrum of CO2 near the critical point

Not Accessible

Your library or personal account may give you access

Abstract

The density dependence of the linewidth of the collisionally narrowed, pure rotational Raman band of CO2 has been measured at 32.7°C or 1.7°C above its critical temperature. Analysis of the results and comparison with other observations indicate that rotational spectra showing collisional narrowing are not sensitive to density fluctuations. The observed spectral asymmetry is discussed.

© 1988 Optical Society of America

Full Article  |  PDF Article
More Like This
Collisionally induced configuration mixing: soluble model with continuous spectrum

Martin Wilkens and Kazimierz Rza̧żewski
J. Opt. Soc. Am. B 5(11) 2289-2293 (1988)

Time-resolved CO2 thermometry for pressures as great as 5 MPa by use of pure rotational coherent anti-Stokes Raman scattering

Martin Schenk, Thomas Seeger, and Alfred Leipertz
Appl. Opt. 44(31) 6526-6536 (2005)

Calculation of saturation line shapes and intensities in coherent anti-Stokes Raman scattering spectra of nitrogen

Robert P. Lucht and Roger L. Farrow
J. Opt. Soc. Am. B 5(6) 1243-1252 (1988)

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

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.