Abstract
In photoelectron correlation function profile analysis, the inversion of the Laplace transform
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.
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References
C.L. Lawson and R. J. Hanson, “Solving Least Squares Problems,” Prentice-Hall, New Jersey (1974).
M. Bertero, P. Boccacci and E. R. Pike, Proc. Roy. Soc. A, to be published.
D. L. Phillips, J. Assoc. Comput. Mach., 9:84 (1962).
R. J. Hanson, SIAM J. Numer. Anal., 8:616 (1971).
J. G. McWhirter and E. R. Pike, J. Phys. All:1729 (1978).ii
J. G. McWhirter, Optica Acta 27:83 (1980).
E. Jakeman, E. R. Pike and S. Swain, J. Phys. A4:517 (1971).
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.
S. W. Provencher, Makromol. Chem. 180:201 (1979).
N. Ostrowsky, D. Sornette, P. Parker, and E. R. Pike, Optica Acta 28:1059 (1981).
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.
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.
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© 1983 Springer-Verlag Berlin Heidelberg
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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
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DOI: https://doi.org/10.1007/978-3-540-39493-8_30
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