【摘要】 介绍用于光子相关光谱法颗粒粒径分布反演计算的约束正则化方法及基于它的CONTIN算法,通过数值模拟反演理想单峰和双峰分布,分析CONTIN算法的展宽效应、该效应与粒径的关系。利用实验测量比较了指数采样法、非负约束最小二乘法和CONTIN算法的反演结果。研究指出CONTIN的分辨力与粒径有关,总体较弱。合理选择小正则化参数或者缩小反演范围能改善反演质量。更多还原

【Abstract】 A constrained regularization method and the CONTIN algorithm that based on it are presented for inversion computation of particle size distributions in photon correlation spectroscopy. CONTIN algorithm has been tested with simulated data corresponding to unimodal and bimodal size distributions. We study the spread effect of CONTIN, the relationship between the effect and particle size. The algorithm has also been used in experimental analysis. CONTIN’s results are compared with those of Exponential Sampling method and Nonnegative Constrained Least Squares method (NNLS). Our study shows that CONTIN’s resolution power is related to particle size and it is poor compared with NNLS. Choosing a small regularization parameter or shortening the inversion range properly can help improve the inversion quality.更多还原