Paper
3 July 1998 Scheduling and executing Phase II observing scripts on the Hobby-Eberly Telescope
Niall I. Gaffney, Mark E. Cornell
Author Affiliations +
Abstract
We describe our scheme for scheduling and observing with the Hobby-Eberly Telescope (HET). The HET will be operated 85 percent of the time in a queue-scheduled, service observing mode. Principal investigators (PIs) use software planning tools to determine how to make their observations with the HET, and submit proposals for telescope time to local Time Allocation Committees (TACs). Once time has been granted, PIs submit detailed observing scripts which instruct HET operations how, when, and under what conditions data are to be taken. These scripts are compiled into a relational database which is used to schedule the telescope. Observations are scheduled using TAC and PI-assigned priorities to rank plans relative to ne another. Resident astronomers use these priorities plus a set of simple precedence rules to determine which objects are to be observed each night. The execution of observation scripts is mostly automated, with the software commanding the telescope position and building data acquisition macros for each instrument. Aside from building and running the nightly observing queue, the resident astronomers are responsible for identifying targets, starting exposures, and validating data quality. They may also revise the observing queue in real time as conditions change. We discuss our initial experience working with this system, scheduling and executing observations during the commissioning of the HET.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Niall I. Gaffney and Mark E. Cornell "Scheduling and executing Phase II observing scripts on the Hobby-Eberly Telescope", Proc. SPIE 3349, Observatory Operations to Optimize Scientific Return, (3 July 1998); https://doi.org/10.1117/12.316481
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KEYWORDS
Telescopes

Space telescopes

Astronomical telescopes

Astronomy

Calibration

Data acquisition

Databases

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