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Simulations of cosmic evolution are a means to explain the formation of the universe as we see it today. The resulting data of such simulations comprise numerous physical quantities, which turns their analysis into a complex task. Here, we analyze such high-dimensional and time-varying particle data using various visualization techniques from the fields of particle visualization, flow visualization, volume visualization, and information visualization. Our approach employs specialized filters to extract and highlight the development of so-called active galactic nuclei and filament structures formed by the particles. Additionally, we calculate X-ray emission of the evolving structures in a preprocessing step to complement visual analysis. Our approach is integrated into a single visual analytics framework to allow for analysis of star formation at interactive frame rates. Finally, we lay out the methodological aspects of our work that led to success at the 2019 IEEE SciVis Contest. [ABSTRACT FROM AUTHOR]

In simulations of salt dissolving in water, viscous fingers emerge. Comparing a number of simulation runs with different parameters allows domain scientists to gain insight into this dissolution process. Researchers have developed a tool that allows interactive visual analysis of ensembles of such simulations at different levels of detail in an adaptable user interface. [ABSTRACT FROM AUTHOR]