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Fourier transform infrared spectroscopy with visible light
Optics Express
|March 4, 2020
Summary
This study introduces a novel nonlinear interferometer for mid-infrared spectroscopy, utilizing spontaneous parametric down-conversion (SPDC) and Fourier-transform spectroscopy. This method achieves broad spectral coverage for efficient material analysis.
Area of Science:
- Quantum Optics
- Spectroscopy
- Materials Science
Background:
- Mid-infrared (MIR) spectroscopy traditionally requires cooled detectors, limiting accessibility and increasing costs.
- Nonlinear interferometers offer an alternative by detecting correlated visible light, enabling the use of non-cooled, high-performance detectors.
- Spontaneous parametric down-conversion (SPDC) is a key nonlinear optical process for generating correlated photon pairs.
Purpose of the Study:
- To develop a new approach for spectral information registration in the mid-infrared range.
- To combine a nonlinear interferometer with Fourier-transform spectroscopy for enhanced spectral analysis.
- To achieve broad spectral coverage and high resolution without spectrally selective detection.
Main Methods:
- Utilized a nonlinear interferometer employing non-degenerate spontaneous parametric down-conversion (SPDC).
- Employed broadband non-collinear SPDC in periodically poled lithium niobate (PPLN) to increase spectral coverage.
- Integrated the nonlinear interferometer with a Fourier-transform spectroscopy concept for data acquisition.
Main Results:
- Achieved continuous spectra with a spectral bandwidth exceeding 100 cm-1.
- Demonstrated transmission spectra of a polypropylene sample in the 3.2–3.9 µm range.
- Obtained spectral resolution of 6 cm-1 without the need for spectrally selective detectors.
Conclusions:
- The developed nonlinear interferometer combined with SPDC and FTS provides an effective method for MIR spectroscopy.
- This approach offers broad spectral coverage and high resolution using readily available non-cooled detectors.
- The technique shows promise for efficient material characterization in the mid-infrared spectrum.
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