Articles | Volume 14, issue 12
https://doi.org/10.5194/amt-14-7909-2021
https://doi.org/10.5194/amt-14-7909-2021
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

Data sets

Size-resolved cloud condensation nuclei data collected during the CalWater 2015 field campaign (Version v1.0) [Data set]. Zenodo. Petters, Markus D., Rothfuss, Nicholas E., Taylor, Hans, Kreidenweis, Sonia M., DeMott, Paul J., and Atwood, Samuel A. http://doi.org/10.5281/zenodo.2605668

Atmospheric Radiation Measurement (ARM) user facility. 2017, updated hourly. Humidified Tandem Differential Mobility Analyzer (AOSHTDMA). 2020-01-01 to 2020-02-22, Southern Great Plains (SGP) Lamont, OK (Extended and Co-located with C1) (E13). Compiled by J. Uin, C. Salwen and G. Senum. http://dx.doi.org/10.5439/1095581

Atmospheric Radiation Measurement (ARM) user facility. 2016, updated hourly. Scanning mobility particle sizer (AOSSMPS). 2020-01-01 to 2020-09-27, Southern Great Plains (SGP) Lamont, OK (Extended and Co-located with C1) (E13) Compiled by C. Kuang, C. Salwen, M. Boyer and A. Singh. http://dx.doi.org/10.5439/1095583

Model code and software

RegularizationTools.jl: A general purpose software package implementing Phillips-Twomey-Tikhonov Regularization. Petters, Markus D. https://github.com/mdpetters/RegularizationTools.jl

DifferentialMobilityAnalyzers.jl: A general purpose software package implementing the "Language to Simplify Computation of Differential Mobility Analyzer Response Functions" Petters, Markus D. https://github.com/mdpetters/DifferentialMobilityAnalyzers.jl

Software and data for "Revisiting Matrix-Based Inversion of SMPS and HTDMA Data" Petters, Markus D. https://doi.org/10.5281/zenodo.5550382

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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.