Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Applied Spectroscopy
  • Vol. 33,
  • Issue 6,
  • pp. 569-574
  • (1979)

Information in Spectra of Collision-broadened Absorption Lines

Not Accessible

Your library or personal account may give you access

Abstract

A mathematical model is introduced for experiments which yield spectra of isolated, collision-broadened absorption lines. A nonlinear design analysis is then performed on the model to identify the optimum experimental conditions. The information in the spectra is split into components associated with each of the unknown parameters to be estimated from the spectra. By exploring the variation of these components it is shown that spectra with line center transmittances of 0.25 are nearly optimum for measuring the line position, the Lorentz width α, the instrument resolution <i>H,</i> and the product of line intensity and absorber amount. The trade off between signal/noise ratio and resolution is investigated for several different resolution-dependent noise levels. The analysis shows that when signal/noise ratio is proportional to the square root of the ratio of resolution and Lorentz width, a single optimum resolution and line center transmittance combination of <i>H</i>/α ≅ 1.5 and 0.28, respectively, exists.

PDF Article
More Like This
Absorption of Infrared Radiant Energy by CO2 and H2O. IV. Shapes of Collision-Broadened CO2 Lines*

Darrell E. Burch, David A. Gryvnak, Richard R. Patty, and Charlotte E. Bartky
J. Opt. Soc. Am. 59(3) 267-280 (1969)

Laser absorption spectroscopy of water vapor confined in nanoporous alumina: wall collision line broadening and gas diffusion dynamics

Tomas Svensson, Märta Lewander, and Sune Svanberg
Opt. Express 18(16) 16460-16473 (2010)

Doppler and collision-broadening effects in the profile of spectral lines

B. W. Fowler and C. C. Sung
J. Opt. Soc. Am. 65(8) 949-951 (1975)

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

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.