Computer Science – Numerical Analysis
Scientific paper
Dec 1997
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1997stin...9941730h&link_type=abstract
Technical Report, Atomic and Nuclear Astrophysics Joint Inst. for Heavy Ion Research
Computer Science
Numerical Analysis
Combustion, Silicon, Nuclear Chemistry, Synthesis (Chemistry), Numerical Analysis, Nuclear Fusion, Thermonuclear Reactions, Supernovae, Hydrodynamics, Tradeoffs, Stellar Models, Simplification, Estimating, Cost Reduction, Conferences
Scientific paper
While the need for accurate calculation of nucleosynthesis and the resulting rate of thermonuclear energy release within hydrodynamic models of stars and supernovae is clear, the computational expense of these nucleosynthesis calculations often force a compromise in accuracy to reduce the computational cost. To redress this trade-off of accuracy for speed, the authors present an improved nuclear network which takes advantage of quasi- equilibrium in order to reduce the number of independent nuclei, and hence the computational cost of nucleosynthesis, without significant reduction in accuracy. In this paper they will discuss the first application of this method, the further reduction in size of the minimal alpha network. The resultant QSE- reduced alpha network is twice as fast as the conventional alpha network it replaces and requires the tracking of half as many abundance variables, while accurately estimating the rate of energy generation. Such reduction in cost is particularly necessary for future generation of multi-dimensional models for supernovae.
Hix William Raphael
Khokhlov Alexei M.
Thielemann Friederich-Karl
Wheeler Justin C.
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