Articles | Volume 9, issue 7
https://doi.org/10.5194/amt-9-3429-2016
https://doi.org/10.5194/amt-9-3429-2016
Research article
 | 
28 Jul 2016
Research article |  | 28 Jul 2016

Analysis of functional groups in atmospheric aerosols by infrared spectroscopy: sparse methods for statistical selection of relevant absorption bands

Satoshi Takahama, Giulia Ruggeri, and Ann M. Dillner

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Short summary
We introduce the application of statistical algorithms that allow us to associate various dimensions of aerosol composition to vibrational modes measured by infrared absorption spectroscopy. We demonstrate their use on four organic functional groups for which absorption bands are known and extend the application to interpret bands associated with ambient organic carbon and elemental carbon quantified by an independent measurement technique that is widely used in aerosol monitoring networks.