Subhashis Hazarika, Tzu-Hsuan Wei, Rajaditya Mukherjee, Alexandru Barbur
{"title":"将暗物质的生命和结构可视化","authors":"Subhashis Hazarika, Tzu-Hsuan Wei, Rajaditya Mukherjee, Alexandru Barbur","doi":"10.1109/SciVis.2015.7429498","DOIUrl":null,"url":null,"abstract":"We provide a visualization based answer to understanding the evolution and structure of dark matter halos by addressing the tasks assigned in 2015 IEEE Scientific Visualization Contest. The data released this year is a Cosmological Simulation dataset generated from the Dark Sky Simulation experiments. Out of the assigned tasks we are addressing the following: data integration and browsing, halo identification and visualization and diving deep into halo substructure.","PeriodicalId":123718,"journal":{"name":"2015 IEEE Scientific Visualization Conference (SciVis)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Visualizing the life and anatomy of dark matter\",\"authors\":\"Subhashis Hazarika, Tzu-Hsuan Wei, Rajaditya Mukherjee, Alexandru Barbur\",\"doi\":\"10.1109/SciVis.2015.7429498\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We provide a visualization based answer to understanding the evolution and structure of dark matter halos by addressing the tasks assigned in 2015 IEEE Scientific Visualization Contest. The data released this year is a Cosmological Simulation dataset generated from the Dark Sky Simulation experiments. Out of the assigned tasks we are addressing the following: data integration and browsing, halo identification and visualization and diving deep into halo substructure.\",\"PeriodicalId\":123718,\"journal\":{\"name\":\"2015 IEEE Scientific Visualization Conference (SciVis)\",\"volume\":\"29 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-10-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE Scientific Visualization Conference (SciVis)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SciVis.2015.7429498\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE Scientific Visualization Conference (SciVis)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SciVis.2015.7429498","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
We provide a visualization based answer to understanding the evolution and structure of dark matter halos by addressing the tasks assigned in 2015 IEEE Scientific Visualization Contest. The data released this year is a Cosmological Simulation dataset generated from the Dark Sky Simulation experiments. Out of the assigned tasks we are addressing the following: data integration and browsing, halo identification and visualization and diving deep into halo substructure.