Award Date


Degree Type


Degree Name

Master of Science (MS)



First Committee Member

J. C. Selser

Number of Pages



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.


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

Controlled Subject

Polymers; Polymerization; Chemistry; Physics; Mathematics

File Format


File Size

2641.92 KB

Degree Grantor

University of Nevada, Las Vegas




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