## Abstract

A robust scheme for characterizing chainlike aggregated aerosols by
use of nonintrusive light-scattering measurements is
presented. This scheme entails the selection of suitable scattering
quantities and their optimal measurement angles; the development of an
inversion algorithm to yield the complex refractive index of
agglomerates *m* = *n* + *ik*, the primary particle
diameter *d*
_{p}, the number of primary particles per
agglomerate *N*
_{p}, the number density of
agglomerates *n*
_{A}, and the volume fraction of
agglomerates *f*
_{v}; and evaluation of the
uncertainties of the inferred parameters that correspond to measuring
uncertainties. The data-inversion algorithm is based on the exact
formulation of light scattering for agglomerates that consist of
primary particles in the Rayleigh limit and therefore has solid
theoretical foundations. In addition, this approach yields all the
desired parameters of the aggregated aerosols by using *in
situ* light-scattering measurements with a minimum of possible
uncertainties. Furthermore, the methodology developed here can be
extended to aerosols with other types of morphology and optical
property.

© 2000 Optical Society of America

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