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On-sky results for the integrated microlens ring tip-tilt sensor
Journal of the Optical Society of America B ( IF 1.8 ) Pub Date : 2021-08-09 , DOI: 10.1364/josab.421459
Philipp Hottinger 1 , Robert J. Harris 1, 2 , Jonathan Crass 3 , Philipp-Immanuel Dietrich 4, 5 , Matthias Blaicher 4 , Andrew Bechter 3 , Brian Sands 3 , Timothy Morris 6 , Alastair G. Basden 6 , Nazim Ali Bharmal 6 , Jochen Heidt 1 , Theodoros Anagnos 1, 2 , Philip L. Neureuther 7 , Martin Glück 7 , Jennifer Power 8 , Jörg-Uwe Pott 2 , Christian Koos 4, 5 , Oliver Sawodny 7 , Andreas Quirrenbach 1
Affiliation  

We present the first on-sky results of the microlens ring tip-tilt sensor. This sensor uses a 3D printed microlens ring feeding six multimode fibers to sense misaligned light, allowing centroid reconstruction. A tip-tilt mirror allows the beam to be corrected, increasing the amount of light coupled into a centrally positioned single-mode (science) fiber. The sensor was tested with the iLocater acquisition camera at the Large Binocular Telescope in Tucson, Arizona, in November 2019. The limit on the maximum achieved rms reconstruction accuracy was found to be $0.19 \lambda /{\rm{D}}$ in both tip and tilt, of which approximately 50% of the power originates at frequencies below 10 Hz. We show the reconstruction accuracy is highly dependent on the estimated Strehl ratio and simulations support the assumption that residual adaptive optics aberrations are the main limit to the reconstruction accuracy. We conclude that this sensor is ideally suited to remove post-adaptive optics noncommon path tip-tilt residuals. We discuss the next steps for concept development, including optimization of the lens and the fiber, tuning of the correction algorithm, and selection of optimal science cases.

中文翻译:

集成微透镜环倾斜传感器的天空结果

我们展示了微透镜环倾斜传感器的第一个天空结果。该传感器使用一个 3D 打印的微透镜环,为六根多模光纤提供信号以感应未对准的光,从而实现质心重建。倾斜镜可以校正光束,增加耦合到位于中心位置的单模(科学)光纤的光量。该传感器于 2019 年 11 月在亚利桑那州图森的大型双筒望远镜上使用 iLocater 采集相机进行了测试。发现实现的最大均方根重建精度的限制为 0.19 美元 \lambda /{\rm{D}}$倾斜和倾斜,其中大约 50% 的功率来自低于 10 Hz 的频率。我们表明重建精度高度依赖于估计的斯特列尔比,并且模拟支持残余自适应光学像差是重建精度的主要限制的假设。我们得出的结论是,该传感器非常适合去除后自适应光学非常规路径倾斜残留。我们讨论了概念开发的后续步骤,包括镜头和光纤的优化、校正算法的调整以及最佳科学案例的选择。
更新日期:2021-09-01
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