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    This study introduces sampling criteria for accurate fast Fourier transform (FFT) field propagation calculations. These criteria ensure precise results even with sub-Nyquist sampling rates, optimizing computational efficiency.

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    Area of Science:

    • Computational physics
    • Wave propagation modeling
    • Numerical methods

    Background:

    • Accurate field propagation is crucial for optical system design and analysis.
    • Existing methods often require high sampling rates, increasing computational cost.
    • Optimizing sampling for fast Fourier transform (FFT)-based methods is an ongoing challenge.

    Purpose of the Study:

    • To derive novel sampling criteria for FFT-based field propagation.
    • To ensure accurate calculation results in the output plane.
    • To balance computational load and accuracy, particularly for focal field calculations.

    Main Methods:

    • Combined analysis of input field and propagation kernel to derive sampling criteria.
    • Application of geometrical optics for a priori knowledge in focal field calculations.
    • Investigation of chirp z-transform-based zoom algorithms using similar techniques.

    Main Results:

    • Developed sampling criteria applicable to general field propagation.
    • Demonstrated accurate results with sub-Nyquist sampling rates in numerical examples.
    • Showcased optimization of computational load versus accuracy using a priori knowledge.

    Conclusions:

    • The derived sampling criteria enhance the efficiency and accuracy of FFT-based field propagation.
    • The methodology provides a framework for analyzing sampling in related algorithms like chirp z-transform.
    • This work offers practical guidelines for computational optics and wave propagation simulations.