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Visualization in Astrophysics: Developing New Methods, Discovering Our Universe, and Educating the Earth

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arxiv 2106.00152 v1 pith:6U6A42ZR submitted 2021-06-01 astro-ph.IM cs.HC

classification astro-ph.IMcs.HC
keywords visualizationastrophysicsdataanalysisapproachesastronomersbringcategories
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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.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. FRELLED Reloaded: Multiple techniques for astronomical data visualisation in Blender

    astro-ph.IM 2025-01 conditional novelty 5.0 of 10

    FRELLED 5.0 is a rewired, faster version of a Blender-based tool that lets astronomers view 3D radio data cubes with multiple display techniques and a simplified installation.

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