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If the data is of good quality and the ACF can be fit, the result is
an intensity distribution of particles detected in the sample. The
ACF fit parameters are adjusted depending on whether you are
interested in the size distribution analysis, which is how many
discrete particle sizes are present within the sample, and at what
proportions; or in the cumulants analysis, which will give the
average particle size present in the whole sample.
Size Distribution Cumulant Radius
For a polydisperse system, it lands
between the two size populations.
This fit model does not assume a
certain distribution of particle sizes
Also known as non-monomodal or
multi-modal distribution
For a monodisperse system, the
cumulant radius is centred within
the intensity distribution curve.
This fit model assumes only a
single population of particles,
with a Gaussian distribution of
sizes around the mean
Also known as monomodal
distribution
