{"title":"Visualizing the Temporal Evolution of the Universe from Cosmology Simulations","authors":"Lea Fritschi, Irene Baeza Rojo, Tobias Günther","doi":"10.1109/SciVis47405.2019.8968943","DOIUrl":null,"url":null,"abstract":"Cosmological simulations of the universe shed light onto the formation of galactic structures. In the context of the IEEE Scientific Visualization Contest 2019, we developed a number of visualizations that concentrate on the temporal and spatial evolution of different galactic particle types, such as stars and active galactic nuclei. We visualize the interplay with scalar attributes, compute derived quantities and visualize flow properties that are governed by the attracting galactic web. The combination of multiple visualizations provides complementing views onto different aspects of the data.","PeriodicalId":222559,"journal":{"name":"2019 IEEE Scientific Visualization Conference (SciVis)","volume":"646 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE Scientific Visualization Conference (SciVis)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SciVis47405.2019.8968943","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
Cosmological simulations of the universe shed light onto the formation of galactic structures. In the context of the IEEE Scientific Visualization Contest 2019, we developed a number of visualizations that concentrate on the temporal and spatial evolution of different galactic particle types, such as stars and active galactic nuclei. We visualize the interplay with scalar attributes, compute derived quantities and visualize flow properties that are governed by the attracting galactic web. The combination of multiple visualizations provides complementing views onto different aspects of the data.