Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 9, issue 7
Articles | Volume 9, issue 7
https://doi.org/10.5194/amt-9-3429-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/amt-9-3429-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
Articles | Volume 9, issue 7
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

Viewed

Total article views: 3,370 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,078 1,153 139 3,370 544 166 171
  • HTML: 2,078
  • PDF: 1,153
  • XML: 139
  • Total: 3,370
  • Supplement: 544
  • BibTeX: 166
  • EndNote: 171
Views and downloads (calculated since 18 Feb 2016)
Cumulative views and downloads (calculated since 18 Feb 2016)
Latest update: 06 Dec 2025
Download
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.
Read more
Share