CASTRO: A NEW COMPRESSIBLE ASTROPHYSICAL SOLVER. I. HYDRODYNAMICS AND SELF-GRAVITY
| Autor: | Ann S. Almgren, Louis H. Howell, Marcus S. Day, Michael Zingale, Michael J. Lijewski, M. Singer, V E Beckner, Andrew Nonaka, John B. Bell, Candace C. Joggerst |
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| Rok vydání: | 2010 |
| Předmět: |
Computer science
FOS: Physical sciences Astronomy & Astrophysics Atomic Physical Chemistry Particle and Plasma Physics Component (UML) Applied mathematics Nuclear Instrumentation and Methods for Astrophysics (astro-ph.IM) equation of state nuclear reactions Spacetime Series (mathematics) abundances Adaptive mesh refinement Astrophysics::Instrumentation and Methods for Astrophysics nucleosynthesis Molecular numerical [methods] Astronomy and Astrophysics Solver Grid gravitation Space and Planetary Science hydrodynamics Compressibility Astrophysics - Instrumentation and Methods for Astrophysics Astronomical and Space Sciences astro-ph.IM Physical Chemistry (incl. Structural) |
| Zdroj: | Astrophysical Journal, vol 715, iss 2 The Astrophysical Journal, vol 715, iss 2 Almgren, AS; Beckner, VE; Bell, JB; Day, MS; Howell, LH; Joggerst, CC; et al.(2010). Castro: A new compressible astrophysical solver. I. Hydrodynamics and self-gravity. Astrophysical Journal, 715(2), 1221-1238. doi: 10.1088/0004-637X/715/2/1221. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/8d19v9fd |
| ISSN: | 1538-4357 0004-637X |
| DOI: | 10.1088/0004-637x/715/2/1221 |
| Popis: | We present a new code, CASTRO, that solves the multicomponent compressible hydrodynamic equations for astrophysical flows including self-gravity, nuclear reactions and radiation. CASTRO uses an Eulerian grid and incorporates adaptive mesh refinement (AMR). Our approach to AMR uses a nested hierarchy of logically-rectangular grids with simultaneous refinement in both space and time. The radiation component of CASTRO will be described in detail in the next paper, Part II, of this series. Comment: accepted to Astrophysical Journal Suppliment (http://iop.org), 52 pages, 16 figures |
| Databáze: | OpenAIRE |
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