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Integrated Exploration System for Cosmological Evolution

We have developed a multi-view, linked visualization system for cosmological simulation data. This allows for simultaneous exploration of several types of data outputs from dark matter simulations. Users can navigate the raw particle output from the simulation, extracted data on the merging activity of the dark matter "particles," or related quantitative information. Exploring the linked views can provide the ability to iteratively refine the user's selection and hone in on events of interest; this allows domain scientists to assess their simulations and the algorithms they use to evaluate simulation data. A version of this work won an honorable mention in the 2015 IEEE Scientific Visualization Contest.


Inspired by a background in cosmology, Annie is interested in visualization as a tool for the analysis of large-scale observational and simulation data, including in cosmology, climate science, natural disaster prevention, and traffic analytics. She's also interested in the question of how scientists can effectively integrate visualization tools into their workflows: do they trust information shown in visualizations, and what can they truly learn from it? Annie received a B.S. with majors in Physics and Astronomy from Haverford College.

Jinrong Xie is a PhD candidate in Computer Science at University of California, Davis. His research interests mainly include scientific visualization, large scale parallel graphics rendering and data analytics. He is working with Professor Kwan-liu Ma in the VIDI (Visualization and Interface Design Innovation) research group. Before joining UCDavis, he was a master student in the College of Computer Science and Technology, Zhejiang University. He holds a B.S. magna cum laude in the Department of Computer Science and Engineering of Shanghai Jiaotong University.

Franz Sauer is a Postdoctoral Scholar at the University of California, Davis, studying computer science and scientific visualization under Kwan-Liu Ma. His research interests include data visualization, large-scale scientific simulations, computer graphics, and physics. Before joining the ViDi group, Franz received a B.S. in physics from the California Institute of Technology.

Nick Leaf is a Ph.D. student focusing on Scientific Visualization. His current research interests include Image-based rendering, rendering Adaptive Mesh Refinement (AMR) data, and large-scale visualization. He earned his B.Sc. in Computer Science and Physics at the University of Wisconsin.