Sensitivity improvements for Shack-Hartmann wavefront sensors using total variation minimization
Sensitivity improvements for Shack-Hartmann wavefront sensors using total variation minimization
复制标题
使用总变差最小化提高 Shack-Hartmann 波前传感器的灵敏度
DOI：
10.1093/mnras/stv617
复制
发表时间：
2015
影响因子：
4.8
通讯作者：
Basden A
中科院分区：
文献类型：
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作者：
Basden A
我们研究了Shack-Hartmann波前传感器图像处理的改进，可以使用总变差最小化技术来消除这些图像中的噪声。我们通过蒙特卡罗模拟证明，在一定的信噪比水平下，可以实现高达一个天文量级的灵敏度改善。我们还给出了用金丝雀自适应光学系统进行的空中测量，结果表明，当采用这种技术时，性能得到了改善，并表明该算法可以在实时控制系统中实现。我们的结论是，当与自适应光学系统一起使用时，总变化最小化可以导致灵敏度提高高达一个天文量级。
We investigate the improvements in Shack–Hartmann wavefront sensor image processing that can be realized using total variation minimization techniques to remove noise from these images. We perform Monte Carlo simulation to demonstrate that at certain signal-to-noise levels, sensitivity improvements of up to one astronomical magnitude can be realized. We also present on-sky measurements taken with the CANARY adaptive optics system that demonstrate an improvement in performance when this technique is employed, and show that this algorithm can be implemented in a real-time control system. We conclude that total variation minimization can lead to improvements in sensitivity of up to one astronomical magnitude when used with adaptive optics systems.