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Shack-Hartmann wavefront reconstruction with elongated sodium laser guide stars: improvements with priors and noise correlations

机译:带有细长钠激光导星的Shack-Hartmann波前重建:先验和噪声相关性的改进

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The current projects of Extremely Large Telescopes rely on adaptive optics systems using several sodium laser guide stars (LGSs). Because of the thickness of the sodium layer in the mesosphere, the subapertures of a Shack-Hartmann wavefront sensor will see the LGS all the more elongated as its position is distant from the launching point of the laser. This effect is significant and prompts the lasers to be launched from behind the secondary instead of from around the telescope. The elongations increase the centroiding errors and new smarter algorithms have been designed to mitigate this effect, but the loss of accuracy is still significant. Further, the measurement uncertainties are no more uniform across the pupil and correlations are introduced between the two coordinates of the gradients. From numerical simulations, we analyze the benefit of taking into account this structured correlations in wavefront reconstruction algorithms and compare the reconstruction accuracy when using least squares, weighted least squares, or minimum variance using von Karman turbulence priors. For a single LGS launched behind the secondary, numerical simulations show effective improvements when using both noise correlations and priors in wavefront reconstruction. When combining the measurements from several LGSs in a Ground Layer adaptive optics system, we show that taking into account the noise covariances yields better reconstructions when LGSs are launched from around the telescope than from behind the secondary. Further, results indicate that we could discard the measurements along the elongated direction where this elongation is greater than a given threshold.
机译:超大型望远镜的当前项目依赖于使用若干钠激光导星(LGS)的自适应光学系统。由于中层钠层的厚度,Shack-Hartmann波前传感器的子孔径将使LGS变得更加细长,因为其位置远离激光发射点。这种效果很明显,并促使激光从次级反射镜的后面而不是望远镜周围发射。伸长率增加了质心误差,并且已经设计了新的更智能的算法来减轻这种影响,但是准确性的损失仍然很大。此外,测量不确定度在整个瞳孔上不再均匀,并且在梯度的两个坐标之间引入了相关性。从数值模拟中,我们分析了在波前重建算法中考虑到这种结构相关性的好处,并在使用冯·卡曼湍流先验时使用最小二乘法,加权最小二乘法或最小方差来比较重构精度。对于在次要级之后发射的单个LGS,数值模拟显示了在波前重建中同时使用噪声相关性和先验性时的有效改进。当在地面层自适应光学系统中组合来自多个LGS的测量结果时,我们表明,考虑到噪声协方差,当从望远镜周围发射LGS而不是从辅助望远镜后面发射LGS时,可以更好地进行重建。此外,结果表明我们可以放弃沿伸长方向的测量,而该伸长率大于给定阈值。

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