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Exploratory simulation for astrophysics

Walker, Rick and Kenny, Peter G. and Miao, Jingqi (2007) Exploratory simulation for astrophysics. In: Erbacher, Robert F. and Roberts, Jonathan C. and Grohn, Matti T. and Borner, Katy, eds. Visualization and Data Analysis 2007. Proceedings of SPIE (Volume). SPIE Press, p. 649509. ISBN 0-8194-6608-5. (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:14611)

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.

Abstract

Exploratory simulation involves the combination of computational steering and visualization at interactive speeds. This presents a number of challenges for large scientific data sets, such as those from astrophysics. A computational model is required such that steering the simulation while in progress is both physically valid and scientifically useful. Effective and appropriate visualization and feedback methods are needed to facilitate the discovery process. Smoothed Particle Hydrodynamics (SPH) techniques are of interest in the area of Computational Fluid Dynamics (CFD), notably for the simulation of astrophysical phenomena in areas such as star formation and evolution. This paper discusses the issues involved with creating an exploratory simulation environment for SPH. We introduce the concepts of painting and simulation trails as a novel solution to the competing concerns of interactivity and accuracy, and present a prototype of a system that implements these new ideas. This paper describes work in progress.

Item Type: Book section
Uncontrolled keywords: visualization, smoothed particle hydrodynamics, computational steering
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 18:05 UTC
Last Modified: 16 Nov 2021 09:53 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/14611 (The current URI for this page, for reference purposes)

University of Kent Author Information

Kenny, Peter G..

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Miao, Jingqi.

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