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

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

doi:https://doi.org/10.5194/amt-11-4477-2018

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

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Final revised paper (published on 26 Jul 2018)
Preprint (discussion started on 26 Feb 2018)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Comments to the AMTD manuscript by Runlong Cai et al. (2018)', Anonymous Referee #1, 02 May 2018
- AC1: 'response to reviewer #1', Runlong Cai, 20 Jun 2018
RC2: 'Comments on the Manuscript by Runlong Cai et al. (2018)', Anonymous Referee #2, 10 May 2018
- AC2: 'response to reviewer #2', Runlong Cai, 20 Jun 2018

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Runlong Cai on behalf of the Authors (20 Jun 2018) Author's response Manuscript

ED: Publish as is (26 Jun 2018) by Bin Yuan

AR by Runlong Cai on behalf of the Authors (03 Jul 2018)

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.