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Optimized design of six-wave fiber optical parametric amplifiers by using a genetic algorithm. | LitMetric

AI Article Synopsis

  • A governing equation for a six-wave fiber optical parametric amplifier (FOPA) was developed to analyze how the power and phase difference of the interacting waves change.
  • The genetic algorithm was used to optimize the amplifier's gain, focusing on how pump depletion and other factors, like fiber length and pump power, influence the gain characteristics.
  • The optimal design parameters resulted in a gain of 65 dB with 0.3 dB uniformity across a 110 nm bandwidth, offering a broader and flatter gain spectrum.

Article Abstract

A governing equation of the six-wave fiber optical parametric amplifier (FOPA) for the power and phase difference evolution of the six interacting waves is deduced. To optimize the gain of the six-wave FOPA, a multivariate stochastic optimization algorithm, i.e., the genetic algorithm (GA), is applied. The effect of pump depletion on the gain characteristic of the six-wave FOPA is emphasized and the effect of the fiber length, the wavelength, and the power of two pumps on bandwidth, flatness, and magnitude of the gain spectrum has also been studied. A broader and flatter six-wave FOPA gain is obtained by adopting optimum design parameters, which theoretically provide a uniform gain of 65 dB with 0.3 dB uniformity over a 110 nm bandwidth for the six-wave FOPA.

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Source
http://dx.doi.org/10.1364/AO.56.004406DOI Listing

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