Analysis and Visualization of Multi-Scale Astrophysical Simulations using Python and NumPy [electronic resource]
Astrophysics, Computing,astro, Comp.
Saved in:
Online Access: |
Online Access |
---|---|
Corporate Author: | |
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: |
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. |