Computer Science – Performance
Scientific paper
Jan 2012
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2012aas...21915607j&link_type=abstract
American Astronomical Society, AAS Meeting #219, #156.07
Computer Science
Performance
Scientific paper
The LSST is a multi-purpose observatory that will permit unprecedented exploration of a multitude of science topics and hundreds of individual science cases. These range from studies of asteroids in the Solar System to multiple probes of the nature of dark energy (LSST Science Book, Version 2.0, arXiv:0912.0201). The LSST Image Simulation framework provides an opportunity for a quantitative, end-to-end, test of feasibility of many of the proposed studies. Especially suitable are those that only require the capabilities currently present in LSST Data Management software stack, and can be tested with a relatively small number (tens to hundreds) of simulated visits. Here we present two such tests: the recovery of high proper motion astrometric targets based on realistic 10-year simulations of a single LSST sensor, and simulations of observations of four ultra-faint dwarf satellite galaxies embedded in a realistic Milky Way background. The results improve our understanding of LSST software, expected performance of the system, as well as identify areas of research needed to achieve particular science goals.
Connolly Andrew J.
Fadley R.
Geha Marla
Gibson Robert R.
Gizis John E.
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