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Multi-step pattern-recognition: A powerful tool for substance identification based on real-world terahertz-spectra

: Ellrich, F.; Molter, D.; Jonuscheit, J.; Freymann, G. von; Beigang, R.; Platte, F.; Nalpantidis, K.; Sprenger, T.; Hübsch, D.

Institute of Electrical and Electronics Engineers -IEEE-:
Conference on Lasers and Electro-Optics, CLEO 2014. Laser Science to Photonic Applications : 8-13 June 2014, San Jose, California
Piscataway, NJ: IEEE, 2014
2 S.
Conference on Lasers and Electro-Optics (CLEO) <2014, San Jose/Calif.>
Fraunhofer IPM ()
pattern recognition; terahertz spectroscopy; terahertz wave spectra

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.