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主振荡功率放大器(MOPA)固体激光系统中的功率放大器会将热致波前畸变引入到被放大的激光束中,造成输出光束质量变差,可以通过自适应光学(AO)系统实时补偿光束的波前畸变以改善光束质量。采用随机并行梯度下降(SPGD)算法控制一个37单元变形镜,通过光电探测器测量远场光斑的桶中功率作为评价光束质量的判据,建立了一个迭代速率为100 Hz的最优化自适应光学系统,对由Nd:YAG主振荡器与Nd:YAG功率放大器组成的MOPA激光系统在不同抽运电流情况下的输出光束进行了净化实验。结果显示,净化后光束质量都得到了提高,甚至β因子大于9的光束在净化后其β因子也减小了58%,表明基于随机并行梯度下降算法的自适应光学方法确实可以用于光束净化。
Power Amplifiers in MOPA Solid-State Laser Systems Introduce Thermal Wavefront Distortion into Enlarged Laser Beams, Degradation of Output Beam Quality, Real-time Compensation of Beams by Adaptive Optical (AO) Systems Wavefront distortion to improve beam quality. A 37-unit deformable mirror was controlled by a random and parallel gradient descent (SPGD) algorithm. The power of the far field spot was measured by photodetector as a criterion to evaluate the beam quality. An optimized adaptive optics with iteration rate of 100 Hz System, the output beam of a MOPA laser system consisting of a Nd: YAG main oscillator and a Nd: YAG power amplifier is subjected to a purge experiment at different pump currents. The results show that the quality of the beam after the purification has been improved, even β factor greater than 9 in the purification of the beam after its β factor is also reduced by 58%, indicating that based on stochastic parallel gradient descent algorithm adaptive optical method can indeed be used for beam purification .