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Appl. Sci. 2017, 7(7), 705; doi:10.3390/app7070705

Collinear FAST CARS for Chemical Mapping of Gases

1
Institute for Quantum Science and Engineering, Department of Physics and Astronomy, Texas A&M University, College Station, TX 77843-4242, USA
2
Quantum Optics Laboratory at the Baylor Research and Innovation Collaborative, Baylor University, Waco, TX 76706, USA
3
Department of Mechanical and Aerospace Engineering, Princeton University, Princeton, NJ 08544, USA
Current address: IPG Photonics Corporation, 377 Simarano Dr., Marlborough, MA 01752, USA.
*
Author to whom correspondence should be addressed.
Academic Editor: Johannes Kiefer
Received: 12 May 2017 / Revised: 1 July 2017 / Accepted: 2 July 2017 / Published: 8 July 2017
(This article belongs to the Special Issue Optics and Spectroscopy for Fluid Characterization)
View Full-Text   |   Download PDF [1971 KB, uploaded 15 July 2017]   |  

Abstract

We examine the concentration dependence of the Coherent Anti-Stokes Raman Scattering (CARS) signal obtained for gas mixtures at various conditions using the Femtosecond Adaptive Spectroscopic Technique (FAST). We use the CARS signal of the Q-branch vibrational oscillation of molecular oxygen (1556 cm−1) to confirm the quadratic dependence of the coherent signal on the number of molecules in a test volume. In addition, we demonstrate multi-shot FAST CARS imaging of a gas flow in free space by raster-scanning the area of interest. View Full-Text
Keywords: optics; coherent anti-Stokes Raman scattering (CARS); Raman scattering; gas imaging; concentration dependence optics; coherent anti-Stokes Raman scattering (CARS); Raman scattering; gas imaging; concentration dependence
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

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MDPI and ACS Style

Shutov, A.; Pestov, D.; Altangerel, N.; Yi, Z.; Wang, X.; Sokolov, A.V.; Scully, M.O. Collinear FAST CARS for Chemical Mapping of Gases. Appl. Sci. 2017, 7, 705.

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