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Astronomical extended object image reconstruction after primary correction with Yunnan Observatory 1.2m adaptive optics system

机译:云南天文台1.2m自适应光学系统一次校正后的天文扩展目标图像重建

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As an astronomical image post-processing technique, deconvolution from wavefront sensing (DWFS) is a powerful and low cost method for adaptive optics (AO) images reduction. It is based on deconvolution of short exposure images and simultaneous measuring wavefront sensor data, both are provided by adaptive optics system to improve the quality of images. However, for extended or dim sources observing, limited precision of the Wave Front Sensor (WFS) will lead to inferior correction quality of AO images, also these can hardly enhanced by DWFS method. We show here a simple and efficient solution, which combines the DWFS method with a shift-and-add (SAA) image reconstruction technique, designed for reduction of astronomical data obtained with AO system, especially extended objects. This scheme has been applied to the upgraded 61-actuator Shack-Hartmann based adaptive optics system, partially primary corrected extended object images at Yunnan observatory 1.2m telescope for astronomical high resolution imaging. Experimental result of Mars was presented.
机译:作为天文图像后处理技术,从波前感测(DWFS)解卷积是一种用于自适应光学(AO)图像缩减的强大且低成本的方法。它基于短曝光图像的反卷积和同时测量波前传感器数据,两者均由自适应光学系统提供,以提高图像质量。然而,对于扩展或暗源的观测,波前传感器(WFS)的有限精度将导致AO图像的校正质量较差,而且DWFS方法几乎无法增强这些质量。我们在这里展示了一种简单有效的解决方案,该解决方案将DWFS方法与移位加法(SAA)图像重建技术相结合,旨在减少通过AO系统获得的天文数据,特别是扩展对象。该方案已应用于基于61致动器的Shack-Hartmann升级版自适应光学系统,该系统已在云南天文台1.2m望远镜上进行了部分初次校正的扩展目标图像,用于天文高分辨率成像。提出了火星的实验结果。

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