Presentation + Paper
20 June 2024 Machine-aided near-transform-limited pulse compression in fully fiber-interconnected systems for efficient spectral broadening
Author Affiliations +
Abstract
The precise control over optical pulse parameters in fiber systems is crucial in many applications. Our research focuses on optimizing optical femtosecond pulses for nonlinear optics, addressing challenges in fiber-based systems with dispersion and nonlinearity. Utilizing spectral phase control and optimization algorithms like particle swarm and simulated annealing, we fine-tune a complex phase mask for desired pulse shapes. Our method involves custom phase-profile optimization via spectral-domain phase modulation to compensate for nonlinear effects in pulse delivery. Using a chirped femtosecond source and a fiber amplifier, our implemented optimization scheme produces near-transform-limited pulses after propagation in polarization-maintaining fiber. This approach accommodates diverse pulse durations, showcasing the effectiveness of off-the-shelf programmable components with optimization algorithms in nonlinear optics and optical signal processing applications.
Conference Presentation
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Bennet Fischer, Mehmet Müftüoglu, and Mario Chemnitz "Machine-aided near-transform-limited pulse compression in fully fiber-interconnected systems for efficient spectral broadening", Proc. SPIE 13004, Nonlinear Optics and its Applications 2024, 1300402 (20 June 2024); https://doi.org/10.1117/12.3022291
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KEYWORDS
Particle swarm optimization

Picosecond phenomena

Gaussian pulse

Nonlinear optics

Autocorrelation

Nonlinear optimization

Optical filters

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