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    We developed new wave propagation models for partially coherent light to reduce computational costs in optical inverse problems. These models significantly speed up essential optical sensing and control techniques like computer-generated holography.

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    Area of Science:

    • Optics and Photonics
    • Computational Imaging

    Background:

    • Inverse problems in optics often require computationally intensive wave propagations.
    • Spatially partially coherent light is common in optical systems but challenging to model efficiently.

    Purpose of the Study:

    • To present novel wave propagation models for spatially partially coherent light.
    • To reduce the computational load in optical inverse problems.

    Main Methods:

    • Approximating partially coherent light as random or plane wavefronts.
    • Utilizing spatial bandpass filters representing an illumination pupil.
    • Coherent propagation of individual waves to a sensor plane.

    Main Results:

    • Demonstrated significant reduction in the number of coherent propagations needed.
    • Validated the models through numerical simulations and experimental computer-generated holography.
    • Successfully incorporated spatially partially coherent light into inverse problem solving.

    Conclusions:

    • The proposed models offer an efficient approach for handling partially coherent light in optical inverse problems.
    • These models are applicable to critical optical control and sensing applications, including computer-generated holography and quantitative phase imaging.