Releases: tsipkens/bidias
v3.1
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.
v3.1 features numerous updates to the README, adjustments removing some less-often used code, support for YML configuration files, and refactoring (e.g., updating function headers to be closer to the standard Matlab format).
This release is associated with the inversion of soot-salt data for a submitted manuscript.
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.
v2.1
This program, originally released with Sipkens et al., J. Aerosol Sci. (2020), is designed to invert tandem particle mass analyzer-differential mobility analyzer (PMA-DMA) data to find the two-dimensional mass-mobility distribution.
This update resolves various bug fixes to v2.0, resolving problems with the calculation of marginal distributions, and introduces several minor optimization features.
v2.0
This release provides comprehensive updates to most of the program. This includes many feature updates, such as (1) formal support for the exponential distance method, (2) a reorganization of the program's packages and some function arguments to improve consistency across multiple functions, (3) support of partial grids which can be used to remove part of the gridded domain from consideration, (4) several bug fixes, and (5) a more descriptive README, among other improvements.
v1.1
This program, originally released with Sipkens et al., J. Aerosol Sci. (2019), is designed to invert tandem particle mass analyzer-differential mobility analyzer (PMA-DMA) data to find the two-dimensional mass-mobility distribution.
This update improves the Phantom class and represents the final release to be associated with Sipkens et al., J. Aerosol Sci. (2019), most resembling the results in that work.