Analysis and Visualization of Multi-Scale Astrophysical Simulations using Python and NumPy [electronic resource]

Astrophysics, Computing,astro, Comp.

Saved in:
Bibliographic Details
Online Access: Online Access
Corporate Author: Stanford Linear Accelerator Center (Researcher)
Format: Government Document Electronic eBook
Language:English
Published: Washington, D.C : Oak Ridge, Tenn. : United States. Dept. of Energy ; distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 2008.
Subjects:
Description
Summary:Astrophysics, Computing,astro, Comp.
Abstract:The study the origins of cosmic structure requires large-scale computer simulations beginning with well-constrained, observationally-determined, initial conditions. We use Adaptive Mesh Refinement to conduct multi-resolution simulations spanning twelve orders of magnitude in spatial dimensions and over twenty orders of magnitude in density. These simulations must be analyzed and visualized in a manner that is fast, accurate, and reproducible. I present 'yt,' a cross-platform analysis toolkit written in Python. 'yt' consists of a data-management layer for transporting and tracking simulation outputs, a plotting layer, a parallel analysis layer for handling mesh-based and particle-based data, as well as several interfaces. I demonstrate how the origins of cosmic structure--from the scale of clusters of galaxies down to the formation of individual stars--can be analyzed and visualized using a NumPy-based toolkit. Additionally, I discuss efforts to port this analysis code to other adaptive mesh refinement data formats, enabling direct comparison of data between research groups using different methods to simulate the same objects.
Item Description:Published through the Information Bridge: DOE Scientific and Technical Information.
09/30/2008.
"slac-pub-13416"
Presented at7th Annual Python in Science Conference, , 8/19/2008-8/24/2008.
Turk, M.
Physical Description:5 pages : digital, PDF file.