Abstract
A new deconvolution scheme is proposed to retrieve the true transfer function of differential mobility analyzers (DMAs) from tandem DMA (TDMA) experimental data. Apart from the existing methods in which the transfer function is represented as either a triangular or a Gaussian shape, the true DMA transfer function in the new scheme is represented by a piecewise linear function. The conjugate gradient optimization method is used to find the best fit between the calculated and experimental TDMA data. It is shown that the scheme is insensitive to experimental error and able to differentiate the shapes of DMA transfer functions for different particle sizes. The scheme is further applied to obtain the true transfer function of Nano-DMA (Chen et al. 1998).
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