Adaptive Mesh Refinement for Supersonic Molecular Cloud Turbulence
نویسندگان
چکیده
منابع مشابه
Adaptive Mesh Refinement for Supersonic Molecular Cloud Turbulence
We performed a series of three-dimensional numerical simulations of supersonic homogeneous Euler turbulence with adaptive mesh refinement (AMR) and effective grid resolution up to 10243 zones. Our experiments describe nonmagnetized driven supersonic turbulent flows with an isothermal equation of state. Mesh refinement on shocks and shear is implemented to cover dynamically important structures ...
متن کاملSupersonic Turbulence in the Perseus Molecular Cloud
We compare the statistical properties of J=1→0 CO spectra observed in the Perseus Molecular Cloud with synthetic J=1→0 CO spectra, computed solving the non–LTE radiative transfer problem for a model cloud obtained as solutions of the three dimensional magneto–hydrodynamic (MHD) equations. The model cloud is a randomly forced super–Alfvénic and highly super–sonic turbulent isothermal flow. The p...
متن کاملAdaptive Mesh Refinement for Multiscale
plied and theoretical physics is to fully understand and predict the behavior of systems far from thermodynamic equilibrium,1–4 including those systems driven by an external force or experiencing a sudden change in environment (such as pressure or temperature). They also include systems transitioning from one metastable or long-lived state to another. The need to accurately model and numericall...
متن کاملSimulating Supersonic Turbulence in Magnetized Molecular Clouds
We present results of large-scale three-dimensional simulations of weakly magnetized supersonic turbulence at grid resolutions up to 1024 cells. Our numerical experiments are carried out with the Piecewise Parabolic Method on a Local Stencil and assume an isothermal equation of state. The turbulence is driven by a large-scale isotropic solenoidal force in a periodic computational domain and ful...
متن کاملAdaptive Mesh Refinement for Nonparametric Image Registration
3D image registration is a computationally extensive problem which is commonly solved in medical imaging. The complexity of the problem stems from its size and non-linearity. In this paper we present an approach that drastically reduces the problem size by using adaptive mesh refinement. Our approach requires special and careful discretization of the variational form on adaptive octree grids. I...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The Astrophysical Journal
سال: 2006
ISSN: 0004-637X,1538-4357
DOI: 10.1086/500688