Laser Pulse Duration Optimization With Numerical Methods
Abstract
The study optimizes laser pulse duration using feedback iterations, including gradient descent, Bayesian Optimization, and genetic algorithms, based on a semi-physical model incorporating linear and non-linear phase accumulation.
In this study we explore the optimization of laser pulse duration to obtain the shortest possible pulse. We do this by employing a feedback loop between a pulse shaper and pulse duration measurements. We apply to this problem several iterative algorithms including gradient descent, Bayesian Optimization and genetic algorithms, using a simulation of the actual laser represented via a semi-physical model of the laser based on the process of linear and non-linear phase accumulation.
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