Evaluation of machine learning methods for classification of rotational absorption spectra for gases in the 220

Evaluation of machine learning methods for classification of rotational absorption spectra for gases in the 220–330 GHz range

Published:2021-02-16 Issue:3 Volume:127 Page:
ISSN:0946-2171
Container-title:Applied Physics B
language:en
Short-container-title:Appl. Phys. B

Author:

Chowdhury M. Arshad Zahangir^ORCID,Rice Timothy E.,Oehlschlaeger Matthew A.^ORCID

Funder

National Science Foundation

Publisher

Springer Science and Business Media LLC

Subject

General Physics and Astronomy,Physics and Astronomy (miscellaneous),General Engineering

Link

http://link.springer.com/content/pdf/10.1007/s00340-021-07582-0.pdf

Reference83 articles.

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4. H.W. Kroto, Molecular Rotation Spectra, 1st edn. (Wiley, Hoboken, 1975).

5. C.H. Townes, A.L. Schawlow, Microwave Spectroscopy, 1st edn. (McGraw-Hill Book Company Inc., New York, 1955).

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