Visualization in Astrophysics: Developing New Methods, Discovering Our Universe, and Educating the Earth. (29th June 2021)

• Record Type: Journal Article
• Authors: Lan, Fangfei; Young, Michael; Anderson, Lauren; Ynnerman, Anders; Bock, Alexander; Borkin, Michelle A.; Forbes, Angus G.; Kollmeier, Juna A.; Wang, Bei
• Is Part Of: Computer graphics forum. Volume 40:Number 3(2021)
• Page Start: 635
• Page End: 663
• Publication Date: 2021-06-29
• Subjects: Computer graphics -- Periodicals; 006.605
• DOI: 10.1111/cgf.14332
• Languages: English
• ISSNs: 0167-7055

Abstract

Abstract: 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.