论文标题
Evanescent Wave Coronagraph(EVWACO)的自适应光学系统:优化的相板和DM表征
Adaptive Optics system of the Evanescent Wave Coronagraph (EvWaCo): optimised phase plate and DM characterisation
论文作者
论文摘要
Evanescent Wave Coronagraph(EVWACO)是一种具有可调域尺寸的可调节式掩模[600nm,900nm],将安装在泰国国家天文台。我们在这项工作中介绍了长凳的开发,以表征其极端自适应光学系统(XAO),其中包括DM192 Alpao可变形镜(DM)和15x15 Shack-Hartmann Wavefront Sensor(SH-WFS)。在此长凳上,使用瞳孔平面中的旋转相板模拟湍流。通常,此类组件是使用随机生成的相屏幕设计的。这种单一的实现不一定提供所需的结构功能。我们提出了设计印刷图案的解决方案,以确保光束看到具有正确的2D结构函数的严格而受控的Kolmogorov统计信息。这对于控制实验条件以将基准结果与数值模拟和预测进行比较至关重要。该长凳进一步用于深入深入表征使用54x54 alpao sh-wfs的27毫米瞳孔。我们衡量其影响功能的平均形状以及每个执行器的影响功能,以研究其分散体。我们使用命令研究执行器振幅的线性以及影响函数曲线的线性。我们还研究执行器偏移量以及0-命令处的膜形状。这些知识对于获得XAO控制循环的DM的正向模型至关重要。
The Evanescent Wave Coronagraph (EvWaCo) is an achromatic coronagraph mask with adjustable size over the spectral domain [600nm, 900nm] that will be installed at the Thai National Observatory. We present in this work the development of a bench to characterise its Extreme Adaptive Optics system (XAO) comprising a DM192 ALPAO deformable mirror (DM) and a 15x15 Shack-Hartmann wavefront sensor (SH-WFS). In this bench, the turbulence is simulated using a rotating phase plate in a pupil plane. In general, such components are designed using a randomly generated phase screen. Such single realisation does not necessarily provide the wanted structure function. We present a solution to design the printed pattern to ensure that the beam sees a strict and controlled Kolmogorov statistics with the correct 2D structure function. This is essential to control the experimental conditions in order to compare the bench results with the numerical simulations and predictions. This bench is further used to deeply characterise the full 27 mm pupil of the ALPAO DM using a 54x54 ALPAO SH-WFS. We measure the average shape of its influence functions as well as the influence function of each single actuator to study their dispersion. We study the linearity of the actuator amplitude with the command as well as the linearity of the influence function profile. We also study the actuator offsets as well as the membrane shape at 0-command. This knowledge is critical to get a forward model of the DM for the XAO control loop.