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Development of the Arizona Robotic Telescope Network

Authors :
Weiner, Benjamin J.
Sand, David
Gabor, Paul
Johnson, Chris
Swindell, Scott
Kubanek, Petr
Gasho, Victor
Golota, Taras
Jannuzi, Buell
Milne, Peter
Smith, Nathan
Zaritsky, Dennis
Source :
Proc. SPIE 10704, 107042H (10 July 2018)
Publication Year :
2018

Abstract

The Arizona Robotic Telescope Network (ARTN) project is a long term effort to develop a system of telescopes to carry out a flexible program of PI observing, survey projects, and time domain astrophysics including monitoring, rapid response, and transient/target-of-opportunity followup. Steward Observatory operates and shares in several 1-3m class telescopes with quality sites and instrumentation, largely operated in classical modes. Science programs suited to these telescopes are limited by scheduling flexibility and people-power of available observers. Our goal is to adapt these facilities for multiple co-existing queued programs, interrupt capability, remote/robotic operation, and delivery of reduced data. In the long term, planning for the LSST era, we envision an automated system coordinating across multiple telescopes and sites, where alerts can trigger followup, classification, and triggering of further observations if required, such as followup imaging that can trigger spectroscopy. We are updating telescope control systems and software to implement this system in stages, beginning with the Kuiper 61'' and Vatican Observatory 1.8-m telescopes. The Kuiper 61'' and its Mont4K camera can now be controlled and queue-scheduled by the RTS2 observatory control software, and operated from a remote room at Steward. We discuss science and technical requirements for ARTN, and some of the challenges in adapting heterogenous legacy facilities, scheduling, data pipelines, and maintaining capabilities for a diverse user base.<br />Comment: Proceedings of SPIE Astronomical Telescopes & Instrumentation 2018, Observatory Operations: Strategies, Processes, and Systems VII

Details

Database :
arXiv
Journal :
Proc. SPIE 10704, 107042H (10 July 2018)
Publication Type :
Report
Accession number :
edsarx.1809.01180
Document Type :
Working Paper
Full Text :
https://doi.org/10.1117/12.2314265