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Optimized noise reduction scheme for heterodyne spectroscopy using array detectors.

Yuan Feng, Ilya Vinogradov, Nien-Hui Ge

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    |September 13, 2019
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    Summary
    This summary is machine-generated.

    This study advances noise reduction in heterodyne spectroscopy by using reference detectors to predict signal noise. The optimized scheme significantly improves signal-to-noise ratio, even with limited reference energy.

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    Area of Science:

    • Spectroscopy
    • Optical Physics
    • Signal Processing

    Background:

    • Heterodyne spectroscopy is susceptible to noise, limiting sensitivity.
    • Existing noise reduction methods may be complex or inefficient.

    Purpose of the Study:

    • To optimize and advance a noise reduction scheme for heterodyne spectroscopy.
    • To improve signal-to-noise ratio (SNR) and applicability in challenging conditions.

    Main Methods:

    • A scheme linearly combining reference detector data to predict signal detector noise statistics using an optimized coefficient matrix.
    • Validation with visible white-light-continuum and 800-nm light sources using unmatched CMOS arrays.
    • Optimization of coefficient matrix estimation strategies for practical applications.

    Main Results:

    • Achieved SNR approaching the signal detector's noise floor.
    • Required only ~5% of energy for reference detection.
    • Demonstrated applicability with rapid scanning, nonlinear detectors, and large laser fluctuations.
    • Generalized scheme for complex chopping or phase cycling patterns.
    • Developed a robust method for multiplicative noise removal.

    Conclusions:

    • The optimized noise reduction scheme enhances heterodyne spectroscopy performance.
    • The method is robust, computationally efficient, and adaptable to various experimental challenges.
    • Significant improvements in SNR are achievable with minimal reference energy.