Statistics – Computation
Scientific paper
Jan 2011
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2011aas...21723403m&link_type=abstract
American Astronomical Society, AAS Meeting #217, #234.03; Bulletin of the American Astronomical Society, Vol. 43, 2011
Statistics
Computation
Scientific paper
Type I X-ray bursts are interesting thermonuclear phenomena that can be used to determine the mass and radius of the underlying neutron star and hence help constrain the equation of state for dense matter. Particularly important is our physical understanding of how a localized, subsonic burning front ignites and spreads, the state of the material in which the burning front propagates, and the extent to which heat released from reactions expands the photosphere of the neutron star. Multidimensional simulation of low Mach number astrophysical flows, such as the propagation of a flame or the slow convective turnover, in such systems have been rather restricted in the past; fully compressible hydrodynamics algorithms have a timestep size that is constrained by the propagation of acoustic waves, which can be neglected in low Mach number flows of this type. Here we present results of multidimensional, plane-parallel simulations of the convection preceding ignition in a Type I X-ray burst. We use a low Mach number code, MAESTRO, based on a low Mach number approximation, which filters acoustic waves from the system allowing for a larger timestep size while retaining the important compressible features, such as expansion from local heating and composition change. This allows us to perform long-term evolution of the system and characterize the effects of convection on the atmosphere. In particular, we find that the convection dredges up some of the underlying 56Fe neutron star material into the atmosphere, which may affect any subsequent subsonic burning front.
This work is supported under the DOE/Office of Nuclear Physics, grant No. DE-FG02-06ER41448 (Stony Brook) and by the SciDAC Program of the DOE Office of Mathematics, Information, and computational Sciences
under the DOE under contract No. DE-AC02-05CH11231.
Almgren Ann S.
Bell John B.
Malone Christopher M.
Nonaka A. J.
Zingale Michael
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