Fourier Transform Infrared Laser Spectroscopy of Water Vapor
Gary Forrest, Bennie W. Good
Abstract
Gary Forrest, Bennie W. Good
Abstract
Fourier transformation techniques are applied to high resolution laser spectra of water vapor to identify undesirable spectral features. Features such as interference fringes can be mathematically filtered from spectral information in the Fourier domain and the spectral data recovered by an inverse Fourier transformation. The combined use of second derivative detection and the Fourier transformation leads to significant enhancements of spectral information relative to both lower and higher frequency background interferences without a significant loss of resolution.
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Fourier transformation techniques are applied to high resolution laser spectra of water vapor to identify undesirable spectral features. Features such as interference fringes can be mathematically filtered from spectral information in the Fourier domain and the spectral data recovered by an inverse Fourier transformation. The combined use of second derivative detection and the Fourier transformation leads to significant enhancements of spectral information relative to both lower and higher frequency background interferences without a significant loss of resolution.
Key concepts: Fourier transform, Fourier transform spectroscopy, Fourier transform infrared spectroscopy, Spectral resolution, Resolution (logic), Optics, Infrared, Transformation (genetics)