Abstract

The emphasis in recent years on improvements in the polydisperse analysis problem - that is the recovery of accurate particle size distributions from PCS data, have concentrated on two areas. Firstly the measurement of the correlation points at a logarithmically spaced set of points, that effectively match the collection of data to the distribution of information in exponential functions. Secondly the use of fitting methods that apply constraints either implicitly or explicitly to the range of possible solutions that are evaluated in the fitting process.

© 1988 Optical Society of America