Quantitative and comparative visualization applied to cosmological simulations

James Ahrens, Katrin Heitmann, Salman Habib, Lee Ankeny, Patrick McCormick, Jeff Inman, Ryan Armstrong, Kwan-Liu Ma

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

Cosmological simulations follow the formation of nonlinear structure in dark and luminous matter. The associated simulation volumes and dynamic range are very large, making visualization both a necessary and challenging aspect of the analysis of these datasets. Our goal is to understand sources of inconsistency between different simulation codes that are started from the same initial conditions. Quantitative visualization supports the definition and reasoning about analytically defined features of interest. Comparative visualization supports the ability to visually study, side by side, multiple related visualizations of these simulations. For instance, a scientist can visually distinguish that there are fewer halos (localized lumps of tracer particles) in low-density regions for one simulation code out of a collection. This qualitative result will enable the scientist to develop a hypothesis, such as loss of halos in low-density regions due to limited resolution, to explain the inconsistency between the different simulations. Quantitative support then allows one to confirm or reject the hypothesis. If the hypothesis is rejected, this step may lead to new insights and a new hypothesis, not available from the purely qualitative analysis. We will present methods to significantly improve the Scientific analysis process by incorporating quantitative analysis as the driver for visualization. Aspects of this work are included as part of two visualization tools, ParaView, an open-source large data visualization tool, and Scout, an analysis-language based, hardware-accelerated visualization tool.

Original languageEnglish (US)
Article number073
Pages (from-to)526-534
Number of pages9
JournalJournal of Physics: Conference Series
Volume46
Issue number1
DOIs
StatePublished - Oct 1 2006

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simulation
halos
scientific visualization
qualitative analysis
quantitative analysis
dynamic range
tracers
dark matter
hardware

ASJC Scopus subject areas

  • Physics and Astronomy(all)

Cite this

Quantitative and comparative visualization applied to cosmological simulations. / Ahrens, James; Heitmann, Katrin; Habib, Salman; Ankeny, Lee; McCormick, Patrick; Inman, Jeff; Armstrong, Ryan; Ma, Kwan-Liu.

In: Journal of Physics: Conference Series, Vol. 46, No. 1, 073, 01.10.2006, p. 526-534.

Research output: Contribution to journalArticle

Ahrens, J, Heitmann, K, Habib, S, Ankeny, L, McCormick, P, Inman, J, Armstrong, R & Ma, K-L 2006, 'Quantitative and comparative visualization applied to cosmological simulations', Journal of Physics: Conference Series, vol. 46, no. 1, 073, pp. 526-534. https://doi.org/10.1088/1742-6596/46/1/073
Ahrens, James ; Heitmann, Katrin ; Habib, Salman ; Ankeny, Lee ; McCormick, Patrick ; Inman, Jeff ; Armstrong, Ryan ; Ma, Kwan-Liu. / Quantitative and comparative visualization applied to cosmological simulations. In: Journal of Physics: Conference Series. 2006 ; Vol. 46, No. 1. pp. 526-534.
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