Impact of time-variant turbulence behavior on prediction for adaptive optics systems.
Impact of time-variant turbulence behavior on prediction for adaptive optics systems.
复制标题
时变湍流行为对自适应光学系统预测的影响。
DOI：
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发表时间：
2019
影响因子：
1.9
通讯作者：
M. Kenworthy
中科院分区：
文献类型：
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作者：
M. V. van Kooten;N. Doelman;M. Kenworthy
对于高对比度成像系统，时间延迟是极端自适应光学（AO）子系统的性能的主要限制因素之一，并且进而是最终对比度。时间延迟是由于测量传入干扰然后应用校正所需的有限时间。通过预测大气扰动在时间延迟上的行为，我们原则上可以实现更好的AO性能。大气湍流参数决定波前相位起伏，具有时变特性。我们提出了一个随机模型的风速和模型的时变大气湍流的影响，使用不同的风速。我们测试了低阶，数据驱动的预测，线性最小均方误差预测，在不同的条件下的近红外AO系统。我们的研究结果表明，变化的风可以有一个显着的影响波前预测的性能，阻止它达到最佳性能。影响取决于风波动的强度，预期性能的最大损失是高风速。
For high-contrast imaging systems, the time delay is one of the major limiting factors for the performance of the extreme adaptive optics (AO) sub-system and, in turn, the final contrast. The time delay is due to the finite time needed to measure the incoming disturbance and then apply the correction. By predicting the behavior of the atmospheric disturbance over the time delay we can in principle achieve a better AO performance. Atmospheric turbulence parameters, which determine wavefront phase fluctuations, have time-varying behavior. We present a stochastic model for wind speed and model time-variant atmospheric turbulence effects using varying wind speeds. We test a low-order, data-driven predictor, the linear minimum mean square error predictor, for a near-infrared AO system under varying conditions. Our results show varying wind can have a significant impact on the performance of wavefront prediction, preventing it from reaching optimal performance. The impact depends on the strength of wind fluctuations with the greatest loss in expected performance being for high wind speeds.