Multiple Uncertainties in Time-Variant Cosmological Particle Data

Understand

Though the mediums for visualization are limited, the potential dimensions of a dataset are not.

• In many areas of scientific study, understanding the correlations between those dimensions and their uncertainties is pivotal to mining useful information from a dataset.
• Obtaining this insight can necessitate visualizing the many relationships among temporal, spatial, and other dimensionalities of data and its uncertainties.
• We utilize multiple views for interactive dataset exploration and selection of important features, and we apply those techniques to the unique challenges of cosmological particle datasets.