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P. M. Garnavich (Notre Dame), R. C. Smith (CTIO), G. Miknaitis (U. Wash.), C. W. Stubbs (CfA), N. B. Suntzeff, J. L. Preito (CTIO), P. Pinto (U. Ariz.)
The Large Synoptic Survey Telescope (LSST) will likely have several cadences, but one of the most general will be a cadence which covers a large portion of the available sky repeatedly in a limited number of filters in a short period of time, for example every 3 to 5 nights. Such a cadence is useful not only for identifying and tracking moving sources such as Near Earth Objects (NEOs), but also for identifying and following moderately long-term (month timescale) transient events such as supernovae. Given a sample general cadence, we investigate the number of type Ia and core-collapse supernovae likely to be discovered per year with LSST. We also investigate the resulting light curve and multi-filter sampling and how these data might best be used for studying SN rates, dark energy models and other science programs based on obtaining a large sample of supernovae.
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The author(s) of this abstract have provided an email address for comments about the abstract: pgarnavi@nd.edu
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Bulletin of the American Astronomical Society, 36 5
© 2004. The American Astronomical Society.