Inversion of Andersen Cascade Impactor Data using the Maximum Entropy Method

Abstract

The problem of the Andersen cascade impactor data inversion is studied using the maximum entropy method to recover the particle size distribution function from a set of measured masses collected on the impactor stages. The classical entropy maximization and its modification to accommodate data errors are reviewed using the techniques of convex optimization. Numerical experiments were performed to test the method on several unimodal and multimodal distributions commonly observed in practice. The Maximum Entropy Method for data inversion produced excellent agreement between the recovered and test Particle Size Distribution Functions without the need for a priori assumptions.