TY - JOUR
T1 - 2019 IEEE Scientific Visualization Contest Winner
T2 - Visual Analysis of Structure Formation in Cosmic Evolution
AU - Schatz, Karsten
AU - Müller, Christoph
AU - Gralka, Patrick
AU - Heinemann, Moritz
AU - Straub, Alexander
AU - Schulz, Christoph
AU - Braun, Matthias
AU - Rau, Tobias
AU - Becher, Michael
AU - Diehl, Patrick
AU - Marcello, Dominic
AU - Frank, Juhan
AU - Müller, Thomas
AU - Frey, Steffen
AU - Reina, Guido
AU - Weiskopf, Daniel
AU - Ertl, Thomas
PY - 2021/11
Y1 - 2021/11
N2 - 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 pre-processing 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.
AB - 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 pre-processing 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.
U2 - 10.1109/mcg.2020.3004613
DO - 10.1109/mcg.2020.3004613
M3 - Article
SN - 0272-1716
VL - 41
SP - 101
EP - 110
JO - Ieee computer graphics and applications
JF - Ieee computer graphics and applications
IS - 6
ER -