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SlicerAstro: A 3-D interactive visual analytics tool for HI data

SKA precursors are capable of detecting hundreds of galaxies in HI in a single 12 h pointing. In deeper surveys one will probe more easily faint HI structures, typically located in the vicinity of galaxies, such as tails, filaments, and extraplanar gas. The importance of interactive visualization in...

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Bibliographic Details
Published in:Astronomy and computing 2017-04, Vol.19, p.45-59
Main Authors: Punzo, D., van der Hulst, J.M., Roerdink, J.B.T.M., Fillion-Robin, J.C., Yu, L.
Format: Article
Language:English
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Summary:SKA precursors are capable of detecting hundreds of galaxies in HI in a single 12 h pointing. In deeper surveys one will probe more easily faint HI structures, typically located in the vicinity of galaxies, such as tails, filaments, and extraplanar gas. The importance of interactive visualization in data exploration has been demonstrated by the wide use of tools (e.g. Karma, Casaviewer, VISIONS) that help users to receive immediate feedback when manipulating the data. We have developed SlicerAstro, a 3-D interactive viewer with new analysis capabilities, based on traditional 2-D input/output hardware. These capabilities enhance the data inspection, allowing faster analysis of complex sources than with traditional tools. SlicerAstro is an open-source extension of 3DSlicer, a multi-platform open source software package for visualization and medical image processing. We demonstrate the capabilities of the current stable binary release of SlicerAstro, which offers the following features: (i) handling of FITS files and astronomical coordinate systems; (ii) coupled 2-D/3-D visualization; (iii) interactive filtering; (iv) interactive 3-D masking; (v) and interactive 3-D modeling. In addition, SlicerAstro has been designed with a strong, stable and modular C++ core, and its classes are also accessible via Python scripting, allowing great flexibility for user-customized visualization and analysis tasks.
ISSN:2213-1337
2213-1345
DOI:10.1016/j.ascom.2017.03.004