v3.0
This program, originally released with Sipkens et al. (2020a), is designed to invert tandem measurements of aerosol size distributions. This includes the inversion of particle mass analyzer-differential mobility analyzer (PMA-DMA) data to find the two-dimensional mass-mobility distribution.
This v3.0 is associated with a paper currently under review and formally introduces a suite of Bayesian approaches to solving the problem, including:
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an exponential distance prior, which is an inversion method that correlated pixels close together in reconstructions and has been demonstrated to improve reconstruction accuracy by up to 60%, and
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a Bayesian approach of regularization parameter selection.
This version also introduces several new visualization methods, bug fixes, code optimizations, and support for partial grids, which can speed up inversion.
We refer the reader to the README for a complete description of the program.