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.
翻译:我们提出一份关于天体物理学可视化的最新报告,我们从天体物理学和可视化两方面调查代表论文,根据数据分析任务对现有方法进行分类,这些方法分为五类:数据断线、数据勘探、特征识别、物体重建以及教育和外联,我们的独特贡献是将天文学家和可视化专家的不同观点结合起来,找出天体物理学可视化的挑战和机遇,主要目标是提供一个参考点,将现代数据分析和可视化技术引入天体物理学中丰富的数据集。