Verification of Scientific Simulations via Hypothesis-Driven Comparative and Quantitative Visualization

Journal Article · Mon Nov 01 00:00:00 EDT 2010 · IEEE Computer Graphics and Applications Magazine

DOI:https://doi.org/10.1109/MCG.2010.100· OSTI ID:991683

Ahrens, James P ^[1]; Heitmann, Katrin ^[1]; Petersen, Mark R ^[1]; Woodring, Jonathan ^[2]; Williams, Sean ^[2]; Fasel, Patricia ^[2]; Ahrens, Christine ^[2]; Hsu, Chung-Hsing ^[1]; Geveci, Berk ^[1]

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1. ORNL
2. Los Alamos National Laboratory (LANL)

This article presents a visualization-assisted process that verifies scientific-simulation codes. Code verification is necessary because scientists require accurate predictions to interpret data confidently. This verification process integrates iterative hypothesis verification with comparative, feature, and quantitative visualization. Following this process can help identify differences in cosmological and oceanographic simulations.

• Research Organization: Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
• Sponsoring Organization: Work for Others (WFO)
• DOE Contract Number: DE-AC05-00OR22725
• OSTI ID: 991683
• Journal Information: IEEE Computer Graphics and Applications Magazine, Vol. 30, Issue 6; ISSN 0272-1716
• Country of Publication: United States
• Language: English

Related Subjects

99 GENERAL AND MISCELLANEOUS//MATHEMATICS, COMPUTING, AND INFORMATION SCIENCE
COMPUTER GRAPHICS
DETECTION
HYPOTHESIS
TESTING
VERIFICATION