AUTOMATION AND QUEUE MANAGEMENT FOR NEO SURVEYING AND FOLLOW-UP

被引：0

作者：

Gibbs, Alex R. ^{[1
]}

Christensen, E. C. ^{[1
]}

Fuls, D. C. ^{[1
]}

Grauer, A. D. ^{[1
]}

Johnson, J. A. ^{[1
]}

Kowalski, R. A. ^{[1
]}

Larson, S. M. ^{[1
]}

Leonard, G. J. ^{[1
]}

Matheny, R. G. ^{[1
]}

Seaman, R. L. ^{[1
]}

Shelly, F. C. ^{[1
]}

机构：

[1] Univ Arizona, Lunar & Planetary Lab, 1629 E Univ Blvd, Tucson, AZ 85721 USA

来源：

V WORKSHOP ON ROBOTIC AUTONOMOUS OBSERVATORIES, 2017 | 2019年 / 51卷

关键词：

methods: observational; minor planets; asteroids:; general; surveys;

D O I：

10.22201/ia.14052059p.2019.51.17

中图分类号：

P1 [天文学];

学科分类号：

0704 ;

摘要：

The Catalina Sky Survey (CSS) at the University of Arizona operates three telescopes full-time in the search for near-Earth objects (NEOs). CSS has discovered 47% of all known NEOs, reported over 46 million asteroid positions, and our photometry has been used to generate light curves for half a billion sources. Our telescopes are capable of highly automated data acquisition and we are working on making one of them autonomous from target selection to reporting of high-confidence data. I cover various aspects of the high-level automation at CSS, with emphasis on the queue manager software, and give a brief overview of CSS and our results.

引用

页码：105 / 110

页数：6

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