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Multi-Step Pattern-Recognition: A Powerful Tool for Substance Identification Based on Real-World Terahertz-Spectra

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Abstract

Combining different chemometric tools we demonstrate the reliable identification of substances out of real-world terahertz-spectra. Systematic evaluation of the spectra allows for the distinction between spectral properties arising from samples geometry versus true material absorption.

© 2014 Optical Society of America

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