Visualization in Astrophysics: Developing New Methods, Discovering Our Universe, and Educating the Earth
This provides a reference for improving data analysis in astrophysics, but it is incremental as it synthesizes existing approaches without introducing new methods.
The paper tackles the challenge of integrating modern visualization techniques into astrophysics by surveying and classifying existing methods based on data analysis tasks, aiming to bridge gaps between astronomers and visualization experts.
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.