Computer Science – Performance
Scientific paper
Jan 2012
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2012aas...21915609p&link_type=abstract
American Astronomical Society, AAS Meeting #219, #156.09
Computer Science
Performance
Scientific paper
The LSST Operations Simulator models the telescope's design-specific opto-mechanical system performance and site-specific conditions to simulate how observations may be obtained during a 10-year survey. We have found that a remarkable range of science programs are compatible with a single feasible cadence. The current version, OpSim v2.5, incorporates detailed models of the telescope and dome, the camera, weather and a more realistic model for scheduled and unscheduled downtime, as well as a scheduling strategy based on ranking requests for observations from a small number of observing modes attempting to optimize the key science objectives. Each observing mode is driven by a specific algorithm which ranks field-filter combinations of target fields to observe next. The output of the simulator is a detailed record of the activity of the telescope - such as position on the sky, slew activities, weather and various types of downtime - stored in a mySQL database. Sophisticated tools are required to mine this database in order to assess the degree of success of any simulated survey in some detail. An analysis pipeline has been created (SSTAR) which generates a standard report describing the basic characteristics of a simulated survey; a new analysis framework is being designed to allow for the inter-comparison of one or more simulated surveys and to perform more complex analyses in a pipeline fashion. Proprietary software is being used to interactively explore the database and to prototype reports for the new analysis pipeline, and we are working with the ASCOT team (http://ascot.astro.washington.edu) to determine the feasibility of creating our own interactive tools. The next phase of simulator development is being planned to include look-ahead to continue investigating the trade-offs of addressing multiple science goals within a single LSST survey.
Chandrasekharan Shailesh
Cook Kem H.
Ivezic Zeljko
Jones Robert L.
Krabbendam Victor
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