Articles | Volume 15, issue 8
https://doi.org/10.5194/amt-15-2579-2022
https://doi.org/10.5194/amt-15-2579-2022
Research article
 | 
28 Apr 2022
Research article |  | 28 Apr 2022

Regularized inversion of aerosol hygroscopic growth factor probability density function: application to humidity-controlled fast integrated mobility spectrometer measurements

Jiaoshi Zhang, Yang Wang, Steven Spielman, Susanne Hering, and Jian Wang

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Short summary
New nonparametric, regularized methods are developed to invert the growth factor probability density function (GF-PDF) from humidity-controlled fast integrated mobility spectrometer measurements. These algorithms are computationally efficient, require no prior assumptions of the GF-PDF distribution, and reduce the error in inverted GF-PDF. They can be applied to humidified tandem differential mobility analyzer data. Among all algorithms, Twomey’s method retrieves GF-PDF with the smallest error.