Award Date

1-1-1991

Degree Type

Thesis

Degree Name

Master of Science (MS)

Department

Physics

First Committee Member

J. C. Selser

Number of Pages

110

Abstract

DISCRETE and CONTIN are standard data analysis packages used in Photon Correlation Spectroscopy for inversion of noisy autocorrelation functions. Their resolution was studied using simulated autocorrelation data based on the Schulz-Zimm distribution of polymer radii; Autocorrelation functions with various noise levels were fitted to both programs. The CONTIN output was compared with the original distribution. Autocorrelation functions calculated for broader distributions of radii yielded correspondingly broader functions in the radius space. Features like the skewness of the original Schulz-Zimm distribution were not recovered except in the case of narrow, approximately monodisperse radius distributions. Addition of noise was not found to seriously affect the performance of DISCRETE and CONTIN, however, a narrowing of the recovered radius distribution, attributable to the CONTIN feature of parsimony, was observed; It was concluded that although CONTIN results are affected by the breadth of the original radius distribution, an exact correspondence is hard to find.

Keywords

Analysis; Correlation; Data; Discrete; District; Distribution; Investigation; Packages; Photon; Schulz; Spectroscopy; Zimm

Controlled Subject

Polymers; Polymerization; Chemistry; Physics; Mathematics

File Format

pdf

File Size

2641.92 KB

Degree Grantor

University of Nevada, Las Vegas

Language

English

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