DONUTS: A Science Frame Autoguiding Algorithm with Sub-Pixel Precision, Capable of Guiding on Defocused Stars
DONUTS: A Science Frame Autoguiding Algorithm with Sub-Pixel Precision, Capable of Guiding on Defocused Stars
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DONUTS：具有亚像素精度的科学框架自动引导算法，能够引导散焦恒星
DOI：
10.1086/670940
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发表时间：
2013
影响因子：
3.5
通讯作者：
C. Watson
中科院分区：
文献类型：
--
作者：
J. McCormac;D. Pollacco;I. Skillen;F. Faedi;I. Todd;C. Watson
我们提出了DONUTS自动制导算法，该算法可以在亚像素级固定恒星位置，用于高节奏时间序列测光，也可以在散焦恒星上自动制导。DONUTS的设计目的是计算一系列科学图像和每次曝光之间的近中心望远镜指向的引导校正。该算法具有从欠采样到严重散焦点扩散函数计算导向校正的独特能力。我们提出了为什么这样的算法对高精度测光很重要的案例，并给出了我们的结果从天空和天空测试。我们讨论了DONUTS的局限性以及即将部署它的设施。
We present the DONUTS autoguiding algorithm, designed to fix stellar positions at the sub-pixel level for high-cadence time-series photometry, and also capable of autoguiding on defocused stars. DONUTS was designed to calculate guide corrections from a series of science images and recentre telescope pointing between each exposure. The algorithm has the unique ability of calculating guide corrections from undersampled to heavily defocused point spread functions. We present the case for why such an algorithm is important for high precision photometry and give our results from off and on-sky testing. We discuss the limitations of DONUTS and the facilities where it soon will be deployed.