用宽视场laser引导星自适应光学定量冻结流衰减的Cn2和风廓线方法
Cn2 and wind profiler method to quantify the frozen flow decay using wide-field laser guide stars adaptive optics
摘要：
利用5个Shack-Hartmann波前传感器的斜率的时空互相关分析了不同高度上大气湍流层的时间演化。重点是冻结流假设的验证。这些数据来自Gemini South多共轭自适应光学系统（GeMS）。首先，介绍了Cn 2和风廓线技术。该方法为AO系统的操作提供了有用的信息，例如现有湍流层的数量，它们的相关速度，高度和强度，以及估计圆顶对总湍流的贡献的机制。接下来，通过识别湍流层，我们表明，它是可能的，以估计湍流测量之间的相关性的时间衰减率。我们减少了在2011年，2012年和2013年活动期间获得的天空数据，第一个结果表明，时间去相关率可以用一个独立于层高度和湍流强度的参数来表示。最后，我们表明，冻结流贡献的衰减率随层速度线性增加。观察到的衰减率的演变证实了预测控制的宽场AO系统的潜在利益。
英文摘要：
We use spatio-temporal cross-correlations of slopes from five Shack-Hartmann wavefront sensors to analyse the temporal evolution of the atmospheric turbulence layers at different altitudes. The focus is on the verification of the frozen flow assumption. The data is coming from the Gemini South Multi-Conjugate Adaptive Optics System (GeMS). First, the Cn2 and wind profiling technique is presented. This method provides useful information for the AO system operation such as the number of existing turbulence layers, their associated velocities, altitudes and strengths and also a mechanism to estimate the dome seeing contribution to the total turbulence. Next, by identifying the turbulence layers we show that it is possible to estimate the rate of decay in time of the correlation among turbulence measurements. We reduce on-sky data obtained during 2011, 2012 and 2013 campaigns and the first results suggest that the rate of temporal de-correlation can be expressed in terms of a single parameter that is independent of the layer altitude and turbulence strength. Finally, we show that the decay rate of the frozen-flow contribution increases linearly with the layer speed. The observed evolution of the decay rate confirms the potential interest of the predictive control for wide-field AO systems.
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