A Framework for Telescope Schedulers: With Applications to the Large Synoptic Survey Telescope

被引:39
|
作者
Naghib, Elahesadat [1 ]
Yoachim, Peter [2 ]
Vanderbei, Robert J. [1 ]
Connolly, Andrew J. [2 ]
Jones, R. Lynne [2 ]
机构
[1] Princeton Univ, Dept Operat Res & Financial Engn, Princeton, NJ 08540 USA
[2] Univ Washington, Dept Astron, Box 351580, Seattle, WA 98195 USA
来源
ASTRONOMICAL JOURNAL | 2019年 / 157卷 / 04期
基金
美国国家科学基金会;
关键词
telescope; instrumentation: miscellaneous; surveys;
D O I
10.3847/1538-3881/aafece
中图分类号
P1 [天文学];
学科分类号
0704 ;
摘要
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.
引用
收藏
页数:17
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