Skip to main content

Correlation Function Profile Analysis in Laser Light Scattering. III. An Iterative Procedure

  • Conference paper

Part of the Springer Series in Optical Sciences book series (SSOS,volume 38)

Abstract

In photoelectron correlation function profile analysis, the inversion of the Laplace transform

$$\left| {{g^{\left( l \right)}}\left( \tau \right)} \right| = \int\limits_0^\infty {G\left( \Gamma \right){e^{ - \Gamma \tau }}} d\Gamma $$
(1)

to obtain the normalized linewidth distribution function G(Γ) from the net electric field correlation function g(l)(τ) is essentially an unresolved ill-conditioned problem, where Γ and τ are, respectively, the characteristic linewidth and the delay time. In practice, g(l)(τ) contains noise and the integral has upper (b) and lower (a) bounds. Consequently, in order to remove the ill-conditioning, we need to have estimates of both the signal-to-noise ratio and the width, in terms of the support ratio γ(≡ b/a), of the linewidth distribution function. However, asg(l)(τ) depends upon the delay time range of our experiment, we now encounter a problem whereby our experimental conditions and the results we hope to obtain are interactive. Then, the success of a laser light scattering experiment depends upon (1) a proper choice of experimental conditions, as well as (2) appropriate inversion of the measured g(l)(τ) to obtain G(Γ). Thirdly, further analysis of G (Γ) is often required to obtain the desired information, such as molecular weight distribution, internal motions, etc. These three requirements are highly interdependent and the experimenter must be aware of the uncertainties introduced at each step. In this article, we propose an iterative procedure that tries to meet the above requirements.

Keywords

  • Candidate Solution
  • Solution Vector
  • Support Ratio
  • Residual Vector
  • Laser Light Scattering

These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

This is a preview of subscription content, access via your institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (Canada)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (Canada)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
Price excludes VAT (Canada)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. C.L. Lawson and R. J. Hanson, “Solving Least Squares Problems,” Prentice-Hall, New Jersey (1974).

    MATH  Google Scholar 

  2. M. Bertero, P. Boccacci and E. R. Pike, Proc. Roy. Soc. A, to be published.

    Google Scholar 

  3. D. L. Phillips, J. Assoc. Comput. Mach., 9:84 (1962).

    CrossRef  MathSciNet  MATH  Google Scholar 

  4. R. J. Hanson, SIAM J. Numer. Anal., 8:616 (1971).

    CrossRef  MathSciNet  ADS  Google Scholar 

  5. J. G. McWhirter and E. R. Pike, J. Phys. All:1729 (1978).ii

    ADS  Google Scholar 

  6. J. G. McWhirter, Optica Acta 27:83 (1980).

    CrossRef  ADS  Google Scholar 

  7. E. Jakeman, E. R. Pike and S. Swain, J. Phys. A4:517 (1971).

    ADS  Google Scholar 

  8. B. Chu, “Correlation Function Profile Analysis in Laser Light Scattering. I. General Review on Methods of Data Analysis,” Proceedings of the NATO ASI on the Application of Biological Motions, Plenum Press, 1982, to be published.

    Google Scholar 

  9. S. W. Provencher, Makromol. Chem. 180:201 (1979).

    CrossRef  Google Scholar 

  10. N. Ostrowsky, D. Sornette, P. Parker, and E. R. Pike, Optica Acta 28:1059 (1981).

    CrossRef  ADS  Google Scholar 

  11. E. F. Grabowski and I. D. Morrison, “Particle Size Distributions from the Analysis of Quasielastic Light Scattering Data,” presented at the First National Aerosol Symposium, Santa Monica, California, 1982.

    Google Scholar 

  12. K. M. Abbey, J. Shook and B. Chu, “Correlation Function Profile Analysis in Laser Light Scattering. II. A Hybrid Photon Correlation Spectrometer,” Proceedings of the NATO ASI on the Application of Biological Motions, Plenum Press, 1982, to be published.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and Permissions

Copyright information

© 1983 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Ford, J.R., Chu, B. (1983). Correlation Function Profile Analysis in Laser Light Scattering. III. An Iterative Procedure. In: Schulz-DuBois, E.O. (eds) Photon Correlation Techniques in Fluid Mechanics. Springer Series in Optical Sciences, vol 38. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-39493-8_30

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-39493-8_30

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-13529-7

  • Online ISBN: 978-3-540-39493-8

  • eBook Packages: Springer Book Archive