A machine learning approach to aerosol classification for single-particle mass spectrometry

A machine learning approach to aerosol classification for single-particle mass spectrometry

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Compositional analysis of atmospheric and laboratory aerosols is often conducted via single-particle mass spectrometry (SPMS), an in situ and real-time analytical technique that produces mass spectra on a single-particle basis. In this study, classifiers are created using a data set of SPMS spectra...

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Bibliographic Details
Main Authors: Christopoulos, Costa (Costa D.), Garimella, Sarvesh, Zawadowicz, Maria Anna, Cziczo, Daniel James
Other Authors: Massachusetts Institute of Technology. Department of Earth, Atmospheric, and Planetary Sciences
Format: Article
Language:English
Published: Copernicus GmbH 2020
Online Access:https://hdl.handle.net/1721.1/125295

Internet

https://hdl.handle.net/1721.1/125295

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