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Visualization of Smoothed Particle Hydrodynamics for Astrophysics

Walker, Rick and Kenny, Peter G. and Miao, Jingqi (2005) Visualization of Smoothed Particle Hydrodynamics for Astrophysics. In: Lever, Louise and McDerby, Mary, eds. Theory and practice of computer graphics 2005 : Eurographics UK chapter proceedings. Eurographics, Aire-la-Ville, pp. 133-138. ISBN 978-3-905673-56-2. (doi:10.2312/LocalChapterEvents/TPCG/TPCGUK05/133-138) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:14310)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
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http://dx.doi.org/10.2312/LocalChapterEvents/TPCG/...

Abstract

Scientific visualization still presents a number of challenges. Effective visualization straddles several problem domains - the data structures needed to support visualization of large data sets, rendering techniques for fast and interactive display of this data, and enough understanding of the data involved to construct visualizations that provide real insight into the problem. Data from Smoothed Particle Hydrodynamics simulations is of particular interest, due to its time-dependent, point-based nature and its prevalence in simulation in astrophysics in areas such as star formation and evolution. This paper looks at some of the issues associated with building a useful, usable visualization tool for SPH data from astrophysics, and describes a prototype of such a system. This paper describes work in progress.

Item Type: Book section
DOI/Identification number: 10.2312/LocalChapterEvents/TPCG/TPCGUK05/133-138
Additional information: (Electronic version http://diglib.eg.org)
Uncontrolled keywords: visualization, scientific visualization, smoothed particle hydrodynamics, astrophysics, rendering, visualisation, scientific visualisation
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming,
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Mark Wheadon
Date Deposited: 24 Nov 2008 18:03 UTC
Last Modified: 16 Feb 2021 12:25 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/14310 (The current URI for this page, for reference purposes)
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