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Comparison of LSST and DECam Wavefront Recovery Algorithms

机译:LSST和Decam Wavefront Recovery算法的比较

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We make a detailed quantitative comparison of the wavefront recovery algorithms between those developed for Dark Energy Camera (DECam) and the Large Synoptic Survey Telescope (LSST). Samples used in this study include images of out of focus stars collected by the DECam at the Blanco 4-meter telescope and artificial simulated donut images. The data from DECam include wavefront images collected by the wavefront sensors and out-of-focus images where the entire DECam sensor array is used. For simulated images, we have used both the forward Fraunhofer diffraction and a LSST-like ZEMAX optical model where the images are convolved with Kolmogorov atmosphere. All samples are analyzed with the forward wavefront retrieval algorithm developed for DECam and the transport of intensity algorithm for LSST. Good quantitative agreement between results by the two implemented algorithms is observed.
机译:我们在为暗能照相机(焊接)和大型舞蹈调查望远镜(LSST)开发的那些之间的波前恢复算法进行了详细的定量比较。本研究中使用的样品包括由Blanco 4米望远镜和人工模拟甜甜圈图像中由墨水收集的焦点星的图像。来自焊接的数据包括由波前传感器收集的波前图像和使用整个码码传感器阵列的焦点图像。对于模拟图像,我们已经使用前向FRAUNHOFER衍射和LSST ZEMAX光学模型,其中图像与KOLMOGOROV气氛卷绕。通过开发用于焊接的前向波前检索算法和LSST的强度算法的运输,分析所有样品。观察到两种实施算法之间的结果之间的良好定量协议。

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