Initial application of the noise-sorted scanning clustering algorithm to the analysis of composition-dependent organic aerosol thermal desorption measurements

Christopher Cappa, Ziyue Li, Emma D'Ambro, Siegfried Schobesberger, John Shilling, Felipe Lopez-Hilfiker, Jiumeng Liu, Cassandra Gaston & Joel Thornton
The FIGAERO-CIMS (Filter Inlet for Gases and AEROsols + chemical ionization mass spectrometer) measures thermal desorption profiles for individual ions evolved from evaporation of organic aerosol components. Often, hundreds of individual thermograms are obtained, reflecting the compositional complexity of organic aerosol. We have developed a novel clustering algorithm, Noise-Sorted Scanning Clustering (NSSC), that provides a robust, reproducible analysis of the FIGAERO temperature-dependent mass spectral data. The NSSC allows for determination of thermal profiles for compositionally...
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