Atmospheric Measurement Techniques
Atmospheric Measurement Techniques
AMT
Articles | Volume 11, issue 7
Articles | Volume 11, issue 7
https://doi.org/10.5194/amt-11-4477-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-11-4477-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 11, issue 7
Research article
 | 
26 Jul 2018
Research article |  | 26 Jul 2018

Data inversion methods to determine sub-3 nm aerosol size distributions using the particle size magnifier

Runlong Cai, Dongsen Yang, Lauri R. Ahonen, Linlin Shi, Frans Korhonen, Yan Ma, Jiming Hao, Tuukka Petäjä, Jun Zheng, Juha Kangasluoma, and Jingkun Jiang

Viewed

Total article views: 3,999 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,548 1,329 122 3,999 141 153
  • HTML: 2,548
  • PDF: 1,329
  • XML: 122
  • Total: 3,999
  • BibTeX: 141
  • EndNote: 153
Views and downloads (calculated since 26 Feb 2018)
Cumulative views and downloads (calculated since 26 Feb 2018)

Viewed (geographical distribution)

Total article views: 3,999 (including HTML, PDF, and XML) Thereof 3,800 with geography defined and 199 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 16 Nov 2025
Download
Short summary
We tested the performance of four inversion methods to recover sub-3 nm aerosol size distributions using the particle size magnifier (PSM). The PSM is widely used in new particle formation study; however, the inversion methods used in previous studies may report false particle concentrations. Due to the results, we suggest using the expectation–maximization algorithm to address the PSM inversion problem. We also gave practical suggestions on PSM operation based on the inversion analysis.
Read more
Share