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Visualization in Astrophysics: Developing New Methods, Discovering Our Universe, and Educating the Earth
Author(s) -
Lan Fangfei,
Young Michael,
Anderson Lauren,
Ynnerman Anders,
Bock Alexander,
Borkin Michelle A.,
Forbes Angus G.,
Kollmeier Juna A.,
Wang Bei
Publication year - 2021
Publication title -
computer graphics forum
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.578
H-Index - 120
eISSN - 1467-8659
pISSN - 0167-7055
DOI - 10.1111/cgf.14332
Subject(s) - visualization , viewpoints , computer science , data science , identification (biology) , outreach , data visualization , information visualization , data mining , physics , botany , biology , acoustics , political science , law
We present a state‐of‐the‐art report on visualization in astrophysics. We survey representative papers from both astrophysics and visualization and provide a taxonomy of existing approaches based on data analysis tasks. The approaches are classified based on five categories: data wrangling, data exploration, feature identification, object reconstruction, as well as education and outreach. Our unique contribution is to combine the diverse viewpoints from both astronomers and visualization experts to identify challenges and opportunities for visualization in astrophysics. The main goal is to provide a reference point to bring modern data analysis and visualization techniques to the rich datasets in astrophysics.