  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.
