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Proton Transfer and Protein Conformation Dynamics in Photosensitive Proteins by Time-resolved Step-scan Fourier-transform Infrared Spectroscopy
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[A phase error correction method for the new Fourier transforms spectrometer].

Ning Wang, Tian-Cheng Gong, Jian-Jun Chen

    Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu
    |March 11, 2015
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    Summary
    This summary is machine-generated.

    A novel phase error correction method for micro-electro-mechanical systems (MEMS) micro-mirror based spectrum detection systems significantly improves spectral recovery quantity and suppresses side lobes. This advancement enhances overall spectral detection performance by addressing zero drift in optical path differences.

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    Area of Science:

    • Optics and Photonics
    • Spectroscopy
    • Micro-electro-mechanical Systems (MEMS)

    Context:

    • Fourier transform spectroscopy (FTS) systems utilizing micro-electro-mechanical systems (MEMS) micro-mirrors are susceptible to phase errors.
    • Phase errors, specifically zero drift in optical path difference, degrade spectral recovery quality, quantity, and introduce artifacts like negative peaks and side lobes.

    Purpose:

    • To propose and validate a new phase error correction method for MEMS-based FTS systems.
    • To analyze the origin of phase errors in these systems.
    • To enhance spectral recovery quantity and quality while reducing spectral distortion.

    Summary:

    • The study identifies zero drift in optical path difference as the primary source of phase error in MEMS micro-mirror FTS systems.
    • A novel correction method employing Zero-crossing sampling, achieved through improved interferometer structure and Mertz product, is proposed.
    • Experimental verification demonstrates significant improvements in spectral recovery quantity, suppression of negative peaks, and marked reduction of side lobes.

    Impact:

    • The developed phase error correction method effectively mitigates the detrimental effects of phase errors on system performance.
    • Spectral detection performance is demonstrably improved, leading to more accurate and reliable spectral data.
    • This research contributes to the advancement of MEMS-based spectroscopic techniques, enabling higher quality spectral analysis.