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| Content Provider | ACM Digital Library |
|---|---|
| Author | Kähler, Ralf Levy, Stuart Cox, Donna Hege, Hans Christian Abel, Tom Patterson, Robert |
| Abstract | For quantitative examination of phenomena that simultaneously occur on very different spatial and temporal scales, adaptive hierarchical schemes are required. A special numerical multilevel technique, associated with a particular hierarchical data structure, is so-called Adaptive Mesh Refinement (AMR). It allows one to bridge a wide range of spatial and temporal resolutions and therefore gains increasing popularity.We describe the interplay of several visualization and VR software packages for rendering time dependent AMR simulations of the evolution of the first star in the universe. The work was done in the framework of a television production for Discovery Channel Television, "The Unfolding Universe.". Parts of the data were taken from one of the most complex AMR simulation ever carried out: It contained up to 27 levels of resolution, requiring modifications to the texture based AMR volume rendering algorithm that was used to depict the density distribution of the gaseous interstellar matter. A voice and gesture controlled CAVE application was utilized to define camera paths following the interesting features deep inside the computational domains. Background images created from cosmological computational data were combined with the final renderings. |
| Starting Page | 537 |
| Ending Page | 540 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780374983 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2002-10-27 |
| Access Restriction | Subscribed |
| Subject Keyword | Data visualization 3d texture based volume rendering Cave applications Adaptive mesh refinement data |
| Content Type | Text |
| Resource Type | Article |
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