2017/08/01 by A. Moitinho, A. Krone-Martins, H. Savietto +43 · 9 citations
Mathematics · Physics and Astronomy · #Astrometry #Astronomy #Astronomy and Astrophysical Research #Computer science #Context (archaeology) #Data mining #Data science #Geography #Information retrieval #Mathematics #Photometry (optics) #Physics #Point (geometry) #Scientific Research and Discoveries #Stars #Stellar, planetary, and galactic studies #Visualization #astro-ph.GA #astro-ph.IM #astro-ph.SR
paper · pdf · doi:10.1051/0004-6361/201731059
published in Astronomy and Astrophysics 605, A52 (EDP Sciences) · 16 pages, 9 figures, accepted for publication in Astronomy & Astrophysics. Abstract abridged for arXiv submission. The service and image gallery here described are accessible from the Gaia archive "visualization" tab at http://gea.esac.esa.int/archive/
arxiv created 2017/08/01 · openalex publication_date 2017/08/01 · openalex created_date 2017/08/08 · arxiv updated 2017/09/13 · openalex updated_date 2026/08/05
Context. The first Gaia data release (DR1) delivered a catalogue of astrometry and photometry for over a billion astronomical sources. Within the panoplyof methods used for data exploration, visualisation is often the starting point and even the guiding reference for scientific thought. However, this is a volume of data that cannot be efficiently explored using traditional tools, techniques, and habits.