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Understanding and Interpreting Multivalued Astronomical Data
September/October 2010 (vol. 30 no. 5)
pp. 12-17
Thomas Marrinan, Drake University
Timothy Urness, Drake University
Charles Nelson, Drake University
Kory Kreimeyer, Drake University
Jordan Mirocha, Drake University
The authors describe an interactive visualization system that assists in the analysis of the kinematics of ionized gas in Seyfert galaxies' nuclear regions. The complexity of the data requires the consideration of numerous coexisting variables. They use opacity and color to analyze multiple datasets, both independently and in the context of one another, to identify the mechanism powering a Seyfert galaxy's nuclear outflow.

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Index Terms:
Astronomy, spectroscopy, multivalued visualization, volume rendering
Citation:
Thomas Marrinan, Timothy Urness, Charles Nelson, Kory Kreimeyer, Jordan Mirocha, "Understanding and Interpreting Multivalued Astronomical Data," IEEE Computer Graphics and Applications, vol. 30, no. 5, pp. 12-17, Sept.-Oct. 2010, doi:10.1109/MCG.2010.97
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