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    We developed a super-resolution technique for multichannel Fourier transform spectrometers, enhancing spectral resolution for feeble-light spectroscopy. This method effectively doubles spectral resolution, overcoming sensor pixel limitations.

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    Area of Science:

    • Spectroscopy
    • Optical Engineering
    • Signal Processing

    Background:

    • Spectral resolution in Fourier transform spectrometers is limited by detector pixel count.
    • Feeble-light spectroscopy requires enhanced spectral resolution for accurate analysis.
    • Existing area sensors face limitations due to the Nyquist frequency.

    Purpose of the Study:

    • To introduce a novel super-resolution technique for multichannel Fourier transform spectrometers.
    • To enhance spectral resolution without increasing the number of lateral pixels on an area sensor.
    • To overcome the inherent limitations of area sensor pixel density in spectroscopic applications.

    Main Methods:

    • A super-resolution technique that utilizes vertical pixels to effectively increase the number of lateral pixels.
    • Signal processing to fill spectral data across vertical pixels.
    • Application of the technique to an argon (Ar) lamp spectrum using an area sensor.

    Main Results:

    • Achieved spectral resolution comparable to an area sensor with more than double the lateral pixels (1,626 vs. 659).
    • Demonstrated at least a twofold improvement in spectral resolution.
    • Successfully overcame Nyquist frequency limitations inherent in area sensor-based spectrometers.

    Conclusions:

    • The proposed super-resolution technique significantly enhances spectral resolution in multichannel Fourier transform spectrometers.
    • This method offers a practical solution for improving spectral analysis in feeble-light conditions.
    • Spectrometers utilizing area sensors can achieve higher spectral fidelity using this innovative approach.