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A Bayesian approach to nanoparticle characterization

Joseph M. Lukens and Ali Passian

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Abstract

We introduce and numerically validate a Bayesian method for plasmonic nanometrology. Applicable to any system described by a scattering cross section, our approach quantifies uncertainty automatically and enables model comparison through Bayes factors.

© 2022 The Author(s)

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