Mathematics – Logic
Scientific paper
Dec 2007
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2007aas...21113710o&link_type=abstract
American Astronomical Society, AAS Meeting #211, #137.10; Bulletin of the American Astronomical Society, Vol. 39, p.980
Mathematics
Logic
Scientific paper
The LSST will open up new opportunities for supernovae science, including supernova cosmology. In addition to repeated coverage of much of the visible sky, which could result in the detection of millions of supernovae, a special deep-drilling survey is being planned to measure multi-color light curves of hundreds of thousands of Type Ia supernovae out to redshifts up to 1.2. This survey should enable precise investigations of the equation-of-state parameter of dark energy from a self-consistently calibrated system. We discuss recent developments in photometric-only classification of supernovae and redshift determinations that are distance-modulus independent. The latter is a requirement to make photometric-only supernovae observations useful for cosmology, enabling the determination of the dark energy equation-of-state. While the concern for future supernova cosmology experiments is generally with the systematics rather than numbers of supernovae, it is important to note that the unprecedented number of supernovae that will be found by the precisely calibrated LSST system will provide a means to detect and calibrate many of these important systematic effects. Supernovae of all types will be discovered by LSST and we anticipate that the wealth of data provided will allow many questions of supernova progenitor and late-stage stellar evolution to be addressed by a combination of the supernovae found by the LSST extra-galactic survey and the simultaneous survey of the billions of stars in our own galaxy. We present here the expected numbers, distribution, and coverage of supernovae based on the nominal LSST cadence program and discuss the opportunities for supernova and cosmological science from the resulting rich supernova data set.
Asztalos Stephen
Cinabro David
Cook Kelly
de Vries Wim
LSST Supernova Science Collaboration
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