Determination of the soot aggregate size distribution from elastic light scattering through Bayesian inference

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DOIResolve DOI: http://doi.org/10.1016/j.jqsrt.2010.12.001
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TypeArticle
Journal titleJournal of Quantitative Spectroscopy and Radiative Transfer
Volume112
Issue6
Pages10991107; # of pages: 9
SubjectSoot; Elastic lightscattering; Particle sizing; Tikhonov regularization; MAP
AbstractRecovering the size distribution of aerosolized soot aggregates from multiangle elastic light scattering data requires the inversion of an integral equation, which is a mathema- tically ill-posed problem. This paper demonstrates how maximum a posteriori (MAP) inference can be used to stabilize the inversion by introducing prior information about the size distribution of the soot aggregates. Results show that the size distribution can be recovered using only simple smoothness and non-negativity priors if the aggregate number density is known, but otherwise it is necessary to specify additional information about the presumed distribution shape.
Publication date
LanguageEnglish
AffiliationNational Research Council Canada; NRC Institute for Chemical Process and Environmental Technology
Peer reviewedYes
NRC number52875
NPARC number17756435
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Record identifierb690f86b-284a-4d3c-a573-366cfc2362c3
Record created2011-04-15
Record modified2016-05-09
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