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Proceedings Paper

WIYN queue: theory meets reality
Author(s): Todd A. Boroson; Dianne L. Harmer; Abhijit Saha; Paul S. Smith; Daryl W. Willmarth; David R. Silva
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Paper Abstract

During the past two years NOAO has conducted a queue observing experiment with the 3.5m WIYN telescope on Kitt Peak, Arizona. The WIYN telescope is ideally suited to queue-scheduled operation in terms of its performance and its instrument complement. The queue scheduling experiment on WIYN was designed to test a number of beliefs and hypotheses about gains in efficiency and scientific effectiveness due to queue scheduling. In addition, the experiment was a test of our implementation strategy and management of community expectations. The queue is run according to a set of rules that guide decisions about which observation to do next. In practice, scientific rank, suitability of current conditions, and the desire to complete programs all enter into these decisions. As predicted by Monte Carlo simulations, the queue increases the overall efficiency of the telescope, particularly for observations requiring rare conditions. Together with this improvement for typical programs, the queue enables synoptic, target-of-opportunity, and short programs that could not be scheduled classically. Despite this success, a number of sociological issues determine the community's perception of the WIYN queue.

Paper Details

Date Published: 3 July 1998
PDF: 9 pages
Proc. SPIE 3349, Observatory Operations to Optimize Scientific Return, (3 July 1998); doi: 10.1117/12.316511
Show Author Affiliations
Todd A. Boroson, National Optical Astronomy Observatories (United States)
Dianne L. Harmer, National Optical Astronomy Observatories (United States)
Abhijit Saha, National Optical Astronomy Observatories (United States)
Paul S. Smith, National Optical Astronomy Observatories (United States)
Daryl W. Willmarth, National Optical Astronomy Observatories (United States)
David R. Silva, European Southern Observatory (Germany)


Published in SPIE Proceedings Vol. 3349:
Observatory Operations to Optimize Scientific Return
Peter J. Quinn, Editor(s)

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