title: Application of the ART-2a algorithm to laser ablation aerosol mass spectrometry of particle standards.
abstract: Single-particle mass spectrometers are now commonly used to analyze atmospheric particles and generate tens of thousands of spectra from typical measurement campaigns. The ART-2a spectrum algorithm has been used to classify these spectra. In this work, we generate a range of particles that are models of those that are common in the atmosphere. A single-particle mass spectrometer is used to analyze these known particles, and the spectra are classified using ART-2a. The optimum vigilance parameter is approximately 0.5 while the optimum learning rate is approximately 0.05. The classifications elucidate limitations in generation of test particles, their analysis by single-particle techniques, and their classification by ART-2a.
authors.affiliation: Department of Mechanical Engineering, University of Delaware, Newark 19716, USA.
authors.forename: D J
authors.initials: DJ
authors.lastname: Phares
authors.forename: K P
authors.initials: KP
authors.lastname: Rhoads
authors.forename: A S
authors.initials: AS
authors.lastname: Wexler
authors.forename: D B
authors.initials: DB
authors.lastname: Kane
authors.forename: M V
authors.initials: MV
authors.lastname: Johnston