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Robotic acquisition of spectrograph targets across the Las Cumbres Observatory global network of telescopes

机译:机器人在整个Las Cumbres天文台全球望远镜网络中自动采集光谱仪目标

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Las Cumbres Observatory operates a global network of robotic telescopes with two classes of spectrograph distributed across telescopes with primary mirrors ranging from 1.0m to 2.0m. We present strategies and algorithms for performing precise robotic acquisition of a target source to a specified position in the focal plane and then maintaining the source in position for the duration of the spectrographic exposure(s). A high level algorithm with the ability to choose from a set of strategies for acquisition allows us to use a common code base to solve significantly different problems. We describe the three major components of each robotic acquisition: field identification to point the telescope precisely to the target coordinates; target identification and pointing refinement to precisely acquire the identified source; long term guiding to maintain the acquired position for the duration of the spectrographic observation.
机译:拉斯·坎伯雷斯天文台(Las Cumbres Observatory)运营着一个全球性的机器人望远镜网络,两类光谱仪分布在整个望远镜上,主镜范围从1.0m到2.0m。我们提出了一些策略和算法,用于对目标源进行精确的机器人精确采集,使其到达焦平面中的指定位置,然后在光谱曝光期间将源保持在适当的位置。具有从一组采集策略中进行选择的能力的高级算法使我们能够使用通用代码库来解决明显不同的问题。我们描述了每个机器人采集的三个主要组成部分:现场识别,将望远镜精确地指向目标坐标;目标识别和指向细化以精确获取识别出的源;长期指导,以在光谱观察期间保持获得的位置。

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