CoolMomentum-SPGD Algorithm for Wavefront Sensor-Less Adaptive Optics Systems

Instead of acquiring the previous aberrations an optical wavefront with a sensor, sensor-less (WFSless) adaptive optics (AO) systems compensate for distortion by optimizing performance metric directly. The stochastic parallel gradient descent (SPGD) algorithm is pervasively adopted to achieve optimization. In this work, we incorporate CoolMomentum, method optimization Langevin dynamics simulated annealing, into SPGD. Numerical simulations reveal that, compared state-of-the-art SPGD variant, proposed CoolMomentum-SPGD achieves better convergence speed under various atmospheric turbulence conditions while requiring only two tunable parameters.