| 7 | | This document provides a brief description of the compilation and operation of Enzo, a structured [http://en.wikipedia.org/wiki/Adaptive_mesh_refinement Adaptive Mesh Refinement] (SAMR, or more loosely AMR) code which is primarily intended for use in astrophysics and cosmology. The User's Guide is intended to explain how to compile and run Enzo, the initial conditions generation code and the various analysis tools bundled with Enzo. The instructions on actually running the code are not comprehensive in that they are not machine or platform-specific. Arguably the most useful and important piece of this guide is the [wiki:UserGuide/EnzoParameters parameter list], which contains descriptions of all of the roughly 300 possible input parameters (as of September 2008). For more detailed information on the Enzo algorithms and on running Enzo on different platforms, you should refer to the [wiki:Tutorials Enzo Tutorials]. Detailed information on the algorithms used in Enzo will be available in the method paper (unreleased as of September 2008). In the meantime, look at the [wiki:PublicationList publication list] for more concrete Enzo information. |
| | 7 | This document provides a brief description of the compilation and operation of Enzo, a structured [http://en.wikipedia.org/wiki/Adaptive_mesh_refinement Adaptive Mesh Refinement] (SAMR, or more loosely AMR) code which is primarily intended for use in astrophysics and cosmology. The User's Guide is intended to explain how to compile and run Enzo, the initial conditions generation code and the various analysis tools bundled with Enzo. The instructions on actually running the code are not comprehensive in that they are not machine or platform-specific. Arguably the most useful and important piece of this guide is the [wiki:UserGuide/EnzoParameters parameter list], which contains descriptions of all of the roughly 300 possible input parameters (as of September 2008). For more detailed information on the Enzo algorithms and on running Enzo on different platforms, you should refer to the [wiki:Tutorials Enzo Tutorials]. Detailed information on the algorithms used in Enzo will be available in the method paper (unreleased as of September 2008). In the meantime, look at the [wiki:EnzoPrimaryReferences reference list] for more concrete Enzo information. |