Inversion of andersen cascade impactor data using the maximum entropy method

Yuriy Gulak, Eric Jayjock, Fernando Muzzio, Andrea Bauer, Paul McGlynn

Research output: Contribution to journalReview articlepeer-review

6 Scopus citations


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.

Original languageEnglish (US)
Pages (from-to)29-37
Number of pages9
JournalAerosol Science and Technology
Issue number1
StatePublished - Jan 2010

All Science Journal Classification (ASJC) codes

  • Environmental Chemistry
  • Materials Science(all)
  • Pollution


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