Abstract
An adaptive method based on the genetic algorithm (GA) is proposed to control the location of femtosecond laser filament. To verify the feasibility of this method, the simulation results obtained through the GA method are compared with those by the chirp method when femtosecond laser pulses with different pulse energies are used. It is found that the intensity profile and the phase of the femtosecond laser pulses obtained by the GA method are nearly identical to those obtained by the chirp method. It demonstrates that the GA adaptive control method can accurately control the position of the starting point of the filament in the femtosecond laser filamentation.
Highlights
An adaptive method based on the genetic algorithm (GA) is proposed to control the location of femtosecond laser filament
We investigate the feasibility of using the genetic algorithm (GA) to control the location of the femtosecond laser filament
In the GA method proposed here, the random phase parameters evolve through the repeating operations of selection, crossover, and variation to achieve the filamentation at the target distance
Summary
An adaptive method based on the genetic algorithm (GA) is proposed to control the location of femtosecond laser filament. In practice the chirp method mainly introduces the linear chirp into the pulse phase which cannot exactly control the complicated dynamics of the femtosecond laser filamentation[21,22].
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