Statistics – Computation
Scientific paper
Jan 2011
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2011aas...21721403b&link_type=abstract
American Astronomical Society, AAS Meeting #217, #214.03; Bulletin of the American Astronomical Society, Vol. 43, 2011
Statistics
Computation
Scientific paper
The evidence for dark energy represents one of the greatest mysteries of modern science. The research undertaken probes the implications of dark energy via analysis of large scale structure and detonation-based Type Ia supernova light curve simulations. It is presently an exciting time to be involved in cosmology because planned astronomical surveys will effectively result in dark sector probes becoming systematics-limited, making numerical simulations crucial to the formulation of precision constraints. This work aims to assist in reaching the community goal of 1% constraints on the dark energy equation of state parameter. Reaching this goal will require 1) hydrodynamic+N-body simulations with a minimum of a 1 Gpc box size, 20483 hydrodynamic cells, and 1011 dark matter particles, which push the limits of existing codes, and 2) a better understanding of the explosion mechanism(s) for Type Ia supernovae, together with larger, high-quality data sets from present and upcoming supernova surveys. Initial results are discussed from two projects. The first is computational cosmology studies aimed at enabling the large simulations discussed above. The second is radiative transfer calculations drawn from Type Ia supernova explosion simulations aimed at bridging the gap between simulated light curves and those observed from, e.g., the Sloan Digital Sky Survey II and, eventually, the Dark Energy Survey.
Bernstein Joseph P.
Biswas Ranjit
Kuhlmann Stephen E.
Norris Barnaby
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