MAESTRO: An Adaptive Low Mach Number Hydrodynamics Algorithm for Stellar Flows

Details MAESTRO: An Adaptive Low Mach Number Hydrodynamics Algorithm for Stellar Flows MAESTRO: An Adaptive Low Mach Number Hydrodynamics Algorithm for Stellar Flows

Jan 2010

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2010aas...21547401n&link_type=abstract

American Astronomical Society, AAS Meeting #215, #474.01; Bulletin of the American Astronomical Society, Vol. 42, p.521

Physics

Nuclear Physics

Scientific paper

Many astrophysical phenomena are highly subsonic, requiring specialized numerical methods suitable for long-time integration. We present MAESTRO, a low Mach number stellar hydrodynamics code that can be used to simulate long-time, low-speed flows that would be prohibitively expensive to model using traditional compressible codes. MAESTRO is based on an equation set that we have derived using low Mach number asymptotics; this equation set does not explicitly track acoustic waves and thus allows a significant increase in the time step. MAESTRO is suitable for two- and three-dimensional local atmospheric flows as well as three-dimensional full-star flows, and uses adaptive mesh refinement (AMR) to locally refine grids in regions of interest. Our initial scientific applications include the convective phase of Type Ia supernovae and Type I X-ray Bursts on neutron stars.
The work at LBNL was supported by the SciDAC Program of the DOE Office of Advanced Scientific Computing Research under the DOE under contract No. DE-AC02-05CH11231. The work at Stony Brook was supported by the DOE/Office of Nuclear Physics, grant No. DE-FG02-06ER41448. We made use of the Jaguar via a DOE INCITE allocation at the OLCF at ORNL and Franklin at NERSC at LBNL.

Affiliated with

Also associated with

No associations

Rating

MAESTRO: An Adaptive Low Mach Number Hydrodynamics Algorithm for Stellar Flows does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with MAESTRO: An Adaptive Low Mach Number Hydrodynamics Algorithm for Stellar Flows, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and MAESTRO: An Adaptive Low Mach Number Hydrodynamics Algorithm for Stellar Flows will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-1887752