Gilles L, Ellerbroek B L
Thirty Meter Telescope Observatory Corporation, 1200 E. California Boulevard, Mail Code 102-8, Pasadena, California 91125, USA.
J Opt Soc Am A Opt Image Sci Vis. 2010 Nov 1;27(11):A76-83. doi: 10.1364/JOSAA.27.000A76.
Real-time turbulence profiling is necessary to tune tomographic wavefront reconstruction algorithms for wide-field adaptive optics (AO) systems on large to extremely large telescopes, and to perform a variety of image post-processing tasks involving point-spread function reconstruction. This paper describes a computationally efficient and accurate numerical technique inspired by the slope detection and ranging (SLODAR) method to perform this task in real time from properly selected Shack-Hartmann wavefront sensor measurements accumulated over a few hundred frames from a pair of laser guide stars, thus eliminating the need for an additional instrument. The algorithm is introduced, followed by a theoretical influence function analysis illustrating its impulse response to high-resolution turbulence profiles. Finally, its performance is assessed in the context of the Thirty Meter Telescope multi-conjugate adaptive optics system via end-to-end wave optics Monte Carlo simulations.
对于大型到极大望远镜上的宽视场自适应光学（AO）系统，实时湍流剖面分析对于调整层析波前重建算法以及执行各种涉及点扩散函数重建的图像后处理任务而言是必要的。本文描述了一种计算高效且准确的数值技术，该技术受斜率检测与测距（SLODAR）方法启发，可根据从一对激光导星累积的数百帧中适当选择的夏克 - 哈特曼波前传感器测量值实时执行此任务，从而无需额外的仪器。介绍了该算法，随后进行了理论影响函数分析，说明了其对高分辨率湍流剖面的脉冲响应。最后，通过端到端波动光学蒙特卡罗模拟，在三十米望远镜多共轭自适应光学系统的背景下评估了其性能。
