Wavefront phase retrieval with non-linear curvature sensors
Wavefront phase retrieval with non-linear curvature sensors
复制标题
使用非线性曲率传感器进行波前相位检索
DOI：
10.1093/mnras/sts472
复制
发表时间：
2013
影响因子：
4.8
通讯作者：
Aisher P
中科院分区：
文献类型：
--
作者：
Aisher P
越来越多的兴趣在天文应用中的非线性曲率波前传感器的湍流检测和校正，使得重要的是要了解如何最好地处理它们产生的数据，特别是在低光水平。波前相位恢复从四平面CWFS的算法的开发和比较，着眼于他们使用的低阶相位补偿的仪器结合自适应光学和幸运成像。迭代算法的收敛速度和质量相比，他们的步长，和技术的相位恢复在低光子计数explored.Computer模拟表明，在低光照水平下，通过卷积的测量信号与高斯函数的预处理可以减少一个数量级的光子通量所需的准确的相位恢复的低阶误差。这有助于在具有非常微弱的参考星的大型望远镜上进行波前校正。
Increasing interest in astronomical applications of non-linear curvature wavefront sensors for turbulence detection and correction makes it important to understand how best to handle the data they produce, particularly at low light levels. Algorithms for wavefront phase retrieval from a four-plane CWFS are developed and compared, with a view to their use for low-order phase compensation in instruments combining adaptive optics and Lucky Imaging. The convergence speed and quality of iterative algorithms is compared to their step-size, and techniques for phase retrieval at low photon counts are explored.Computer simulations show that at low light levels, preprocessing by convolution of the measured signal with a Gaussian function can reduce by an order of magnitude the photon flux required for accurate phase retrieval of low-order errors. This facilitates wavefront correction on large telescopes with very faint reference stars.
使用小透镜阵列对焦平面进行细分进行相位检索。
影响因子：
1.9
作者：
R. Clare;R. Lane
通讯作者：
R. Lane