Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 14, issue 12
Articles | Volume 14, issue 12
https://doi.org/10.5194/amt-14-7909-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-14-7909-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 14, issue 12
Research article
 | 
21 Dec 2021
Research article |  | 21 Dec 2021

Revisiting matrix-based inversion of scanning mobility particle sizer (SMPS) and humidified tandem differential mobility analyzer (HTDMA) data

Markus D. Petters

Viewed

Total article views: 3,052 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,911 1,058 83 3,052 224 67 70
  • HTML: 1,911
  • PDF: 1,058
  • XML: 83
  • Total: 3,052
  • Supplement: 224
  • BibTeX: 67
  • EndNote: 70
Views and downloads (calculated since 17 Mar 2021)
Cumulative views and downloads (calculated since 17 Mar 2021)

Viewed (geographical distribution)

Total article views: 3,052 (including HTML, PDF, and XML) Thereof 2,991 with geography defined and 61 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 01 Nov 2024
Download
Short summary
Inverse methods infer physical properties from a measured instrument response. Measurement noise often interferes with the inversion. This work presents a general, domain-independent, accessible, and computationally efficient software implementation of a common class of statistical inversion methods. In addition, a new method to invert data from humidified tandem differential mobility analyzers is introduced. Results show that the approach is suitable for inversion of large-scale datasets.
Read more