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Wavefront restoration from lateral shearing data using spectral interpolation.

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    This study introduces a new spectral interpolation technique to improve lateral-shear interferometry. The method accurately restores wavefronts using only two interferograms, overcoming previous limitations.

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    Area of Science:

    • Optical Metrology
    • Wavefront Sensing

    Background:

    • Lateral-shear interferometers offer vibration robustness but yield differential wavefront information, losing specific frequency components.
    • Previous methods required four interferograms with varying shear to reconstruct 2D wavefronts accurately.

    Purpose of the Study:

    • To propose a novel technique reducing the number of interferograms needed for accurate 2D wavefront restoration.
    • To enhance the capabilities of lateral-shear interferometry by addressing its inherent limitations.

    Main Methods:

    • Employing spectral interpolation to reduce required interferograms.
    • Implementing an origin-shift technique for accurate spectral interpolation.
    • Combining natural extension and least-squares determination for ambiguity resolution.

    Main Results:

    • Successfully restored a two-dimensional wavefront using only two interferograms.
    • Demonstrated the accuracy of the proposed spectral interpolation and origin-shift technique through numerical simulations.

    Conclusions:

    • The proposed method significantly reduces the data acquisition requirements for lateral-shear interferometry.
    • This technique offers a more efficient and accurate approach to wavefront restoration, overcoming previous limitations.