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    We developed a numerical strategy to create dual pulse fiber lasers with two specific spectral peaks. This method optimizes input parameters for applications like optical coherence tomography.

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    Area of Science:

    • Optics and Photonics
    • Nonlinear Fiber Optics
    • Computational Physics

    Background:

    • Designing fiber-based light sources with specific spectral characteristics is crucial for advanced optical applications.
    • Supercontinuum generation in optical fibers enables frequency conversion through phenomena like soliton fission and self-frequency shift.
    • Optical Coherence Tomography (OCT) requires tailored light sources, particularly bell-shaped pulses in the second near-infrared window.

    Purpose of the Study:

    • To present a numerical strategy for designing fiber-based dual pulse light sources.
    • To achieve two predefined spectral peaks in the anomalous group velocity dispersion regime.
    • To optimize light source parameters for specific applications like OCT.

    Main Methods:

    • Utilizing a genetic algorithm for optimizing input pulse parameters (wavelength, temporal width, peak power).
    • Implementing the genetic algorithm on a Grid platform for distributed computing.
    • Leveraging soliton fission and soliton self-frequency shift during supercontinuum generation for frequency conversion.

    Main Results:

    • Successful design of fiber-based dual pulse light sources with two distinct spectral peaks.
    • Identification of optimal input pulse parameters through genetic algorithm optimization.
    • Demonstration of a numerical strategy applicable to designing specialized fiber lasers.

    Conclusions:

    • The presented numerical strategy effectively designs fiber-based dual pulse light sources.
    • The optimization approach using a genetic algorithm is efficient for tailoring light source properties.
    • The developed light sources are suitable for applications such as optical coherence tomography.