Statistics – Computation
Scientific paper
Nov 2004
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2004aps..ses.gd005b&link_type=abstract
American Physical Society, 71st Annual Meeting of the Southeastern Section, 11-13 November, 2004, Oak Ridge, TN. MEETING ID: S
Statistics
Computation
Scientific paper
In many stellar explosions the energy driving the event derives from thermonuclear reactions that are described by a nuclear reaction network. Examples include novae, largely powered by hot-CNO reactions, X-ray bursts, largely powered by breakout of hot-CNO into rp-process reactions, and Type Ia supernovae, powered by thermonuclear runaways burning the carbon and oxygen of the white dwarf to iron. In such explosions, the nuclear reaction network is related intimately to the mechanism of the explosion itself. Nevertheless, in most simulations of such explosions the coupling of the reaction network to the hydrodynamics is implemented only in an approximate fashion because of the computational difficulty. We shall report on efforts to exploit a new parallel stochastic algorithm to develop efficient solutions of large element production networks coupled to hydrodynamical simulations.
Budiardja Reuben
Guidry Michael
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