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首页> 外文期刊>The astronomical journal >A Framework for Telescope Schedulers: With Applications to the Large Synoptic Survey Telescope
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A Framework for Telescope Schedulers: With Applications to the Large Synoptic Survey Telescope

机译：望远镜计划程序的框架：应用于大型天气观测望远镜

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How ground-based telescopes schedule their observations in response to different variables can significantly impact their efficiency. Namely, competing science priorities and constraints, variations in the weather, and the visibility of a particular part of the sky are some of the determining variables. In this paper we introduce the Feature-based telescope scheduler, which is an automated, decision-making algorithm. It offers controllability of the behavior, adjustability of the mission, and quick recoverability from interruptions for large ground-based telescopes. By framing the Feature-based telescope scheduler in the context of a coherent mathematical model, the functionality and performance of the algorithm are simple to interpret. Consequently, adapting this scheduler for a broad range of ground-based instruments is straightforward. This paper presents a generic version of the Feature-based scheduler, with minimal manual tailoring. We demonstrate its potential and flexibility to serve as a foundation for schedulers of the ground-based instruments. In addition, a modified version of the Feature-based scheduler for the Large Synoptic Survey Telescope (LSST) is introduced and compared to the previous LSST schedulers.
机译：地面望远镜如何根据不同的变量安排观测时间，会大大影响其效率。即，竞争的科学优先级和约束条件，天气变化以及天空特定部分的可见性是一些决定性变量。在本文中，我们介绍了基于特征的望远镜调度器，它是一种自动化的决策算法。它为大型地面望远镜提供了行为可控性，任务可调整性以及从中断中快速恢复的功能。通过在相干数学模型的上下文中构建基于功能的望远镜调度程序，该算法的功能和性能易于解释。因此，使此调度程序适用于各种地面仪器非常简单。本文介绍了基于功能的计划程序的通用版本，它具有最少的手动调整功能。我们证明了其潜力和灵活性，可作为地面仪器调度程序的基础。此外，还引入了用于大型天气观测望远镜（LSST）的基于功能的计划程序的修改版本，并将其与以前的LSST计划程序进行了比较。

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