Improved Analysis of Photon Correlation Data

F. Mcneil-Watson
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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.
光子相关数据的改进分析
近年来,多分散分析问题(即从PCS数据中恢复准确的粒度分布)的改进重点集中在两个方面。首先在对数间隔的点集上测量相关点,从而有效地将数据集合与指数函数中的信息分布相匹配。其次,使用拟合方法,将约束隐式或显式地应用于拟合过程中评估的可能解的范围。
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