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建立了采用相关波前探测算法(Correlation wave-front sensing algorithm,COR)的自适应光学(Adaptive Optics,AO)系统的数值模型,对准直光束大气传输自适应光学校正进行了数值模拟,分析了不同热晕强度条件下光子噪声和读出噪声对系统校正效果的影响,并与质心(Center of Gravity,COG)算法和阈值质心(Threshold Center of Gravity,TCOG)算法进行了对比。数值模拟结果表明,COR算法对噪声和热晕强度的变化具有更好的鲁棒性,可以提高夏克-哈特曼波前探测器(ShackHartmann Wave-front Sensor,SH-WFS)在低信噪比(Signal to Noise Ratio,SNR)条件下的波前探测精度,同时还可以较好地抑制噪声诱发的相位补偿不稳定性(Phase Compensation Instability,PCI),改善低信噪比条件下大气热晕校正的稳定性。
A numerical model of adaptive optics (AO) system using correlative wave-front sensing (COR) is established to simulate the adaptive optical correction of the collimated beam. The effects of photon noise and readout noise on system calibration under different thermal halo intensities were compared with those of the Center of Gravity (COG) algorithm and the Threshold Center of Gravity (TCOG) algorithm. The numerical simulation results show that the COR algorithm has better robustness against changes of noise and thermal halo intensity and can improve the performance of Shack Hartmann Wave-front Sensor (SH-WFS) (Signal to Noise Ratio, SNR) wavefront detection accuracy, but also can better suppress the noise-induced phase compensation instability (Phase Compensation Instability, PCI), to improve the atmospheric noise under low signal-to-noise ratio Corrected stability.