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    We developed a faster method to calculate optical feedback in external-cavity diode lasers (ECDLs). This GPU-accelerated algorithm accurately models light propagation, improving laser performance predictions.

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    Area of Science:

    • Optics and Photonics
    • Computational Physics
    • Laser Engineering

    Background:

    • The spatial distribution of optical feedback is critical for external-cavity diode laser (ECDL) lifetime and filamentation.
    • Accurate modeling of light propagation through optical elements, like collimation lenses, is essential for high-power diode lasers.

    Purpose of the Study:

    • To present an algorithm for accelerated computation of the Rayleigh-Sommerfeld diffraction integral.
    • To demonstrate the algorithm's application on a graphics processing unit (GPU) for modeling optical feedback in ECDLs.

    Main Methods:

    • Implementation of a GPU-accelerated algorithm for the Rayleigh-Sommerfeld diffraction integral.
    • Utilizing the algorithm to compute the spatial distribution of the optical feedback field.
    • Experimental validation of the computational results using an ECDL.

    Main Results:

    • The developed algorithm significantly accelerates the computation of diffraction integrals.
    • The GPU implementation provides accurate modeling of light propagation through optical systems.
    • Experimental measurements confirm the validity of the algorithm's predictions for ECDLs.

    Conclusions:

    • The GPU-accelerated diffraction integral computation is an effective method for analyzing optical feedback in ECDLs.
    • This approach enables more efficient and accurate modeling of laser systems.
    • The findings contribute to improved design and performance of high-power diode lasers.