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Infrared Degenerate Four-wave Mixing with Upconversion Detection for Quantitative Gas Sensing
Published on: March 22, 2019
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Two-color, intracavity pump-probe, cavity ringdown spectroscopy
1Center for Accelerator Mass Spectrometry, Lawrence Livermore National Laboratory, Livermore, California 94550, USA.
The Journal of Chemical Physics
|September 16, 2021
Summary
We demonstrate a new cavity ringdown (CRD) detection method using intracavity pump-probe technology. This technique offers high sensitivity and selectivity for trace gas detection, especially in the mid-infrared region.
Area of Science:
- Spectroscopy
- Cavity-Enhanced Techniques
- Trace Gas Detection
Background:
- Cavity Ringdown (CRD) spectroscopy is a sensitive technique for measuring trace gases.
- Existing CRD methods can be affected by drifts and spectral overlaps, limiting sensitivity and selectivity.
- Pump-probe schemes offer enhanced detection capabilities but require careful implementation.
Purpose of the Study:
- To demonstrate a proof-of-principle for intracavity pump-probe CRD detection.
- To develop a high-sensitivity and high-selectivity method for trace gas analysis.
- To overcome limitations of traditional CRD by compensating for background drifts and spectral interference.
Main Methods:
- Utilized a three-mirror, traveling-wave cavity for intracavity pump-probe CRD.
- Employed a two-color pump-probe scheme on N2O rovibrational transitions.
- Frequency-locked two quantum cascade lasers to specific cavity modes for high intracavity power and ringdown rates.
Main Results:
- Achieved immunity to empty-cavity ringdown drifts and spectral overlaps from non-target molecules.
- Demonstrated enhanced detection sensitivity through signal-averaging and background compensation.
- Successfully simulated two-color spectra using a density-matrix model under cavity resonance conditions.
Conclusions:
- Intracavity pump-probe CRD is a versatile and robust technique for trace detection.
- The method's background compensation enhances selectivity in complex spectral regions.
- The technique is particularly well-suited for mid-infrared trace gas analysis.
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