Difference between revisions of "Documentation/Nightly/Extensions/SlicerAstro"
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* 5) introduction of the SAMP protocol to enable interoperability with Topcat, and other VO tools and catalogs. | * 5) introduction of the SAMP protocol to enable interoperability with Topcat, and other VO tools and catalogs. | ||
− | for more info see [https://github.com/Punzo/SlicerAstro/wiki] | + | for more info see [https://github.com/Punzo/SlicerAstro/wiki] and [http://arxiv.org/pdf/1505.06976v2.pdf]. |
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Revision as of 19:51, 31 May 2016
Home < Documentation < Nightly < Extensions < SlicerAstro
For the latest Slicer documentation, visit the read-the-docs. |
Introduction and Acknowledgements
Authors: Davide Punzo (Kapteyn Astronomical Institute, University of Groningen), Thijs van der Hulst (Kapteyn Astronomical Institute, University of Groningen), Jos Roerdink (Johann Bernoulli Institute for Mathematics and Computer Science, University of Groningen)
Acknowledgements: Special thanks to Steve Pieper (Isomics), Jean-Christophe Fillion-Robin (Kitware) and Andras Lasso (PerkLab, Queen's).
Contacts:
- Davide Punzo, <email>punzodavide@hotmail.it</email>; <email>D.Punzo@astro.rug.nl</email>
- Thijs van der Hulst, <email>J.M.van.der.Hulst@astro.rug.nl</email>
- Jos Roerdink <email>j.b.t.m.roerdink@rug.nl</email>
Source: [1]
License: Slicer license
Download/install: install 3D Slicer, start 3D Slicer, open the Extension Manager, install the SlicerAstro extension
Extension Description
Upcoming HI (neutral Hydrogen) surveys will deliver large datasets, and automated processing using the full 3-D information (two positional dimensions and one spectral dimension) to find and characterize HI objects is imperative. In this context, visualization is an essential tool for enabling qualitative and quantitative human control on an automated source finding and analysis pipeline. Visual Analytics, the combination of automated data processing and human reasoning, creativity and intuition, supported by interactive visualization, enables flexible and fast interaction with the 3-D data, helping the astronomer to deal with the analysis of complex sources. 3-D visualization, coupled to modeling, provides additional capabilities helping the discovery and analysis of subtle structures in the 3-D domain. Objective: general description
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Modules
Use CasesReferencesHow to citePlease cite the following paper when referring to SlicerAstro in your publication: @ARTICLE{2015A&C....12...86P, author = {{Punzo}, D. and {van der Hulst}, J.~M. and {Roerdink}, J.~B.~T.~M. and {Oosterloo}, T.~A. and {Ramatsoku}, M. and {Verheijen}, M.~A.~W.}, title = "{The role of 3-D interactive visualization in blind surveys of H I in galaxies}", journal = {Astronomy and Computing}, archivePrefix = "arXiv", eprint = {1505.06976}, primaryClass = "astro-ph.IM", keywords = {Radio lines: galaxies, Galaxies: kinematics and dynamics, Surveys, Scientific visualization, Visual analytics}, year = 2015, month = sep, volume = 12, pages = {86-99}, doi = {10.1016/j.ascom.2015.05.004}, adsurl = {http://adsabs.harvard.edu/abs/2015A%26C....12...86P}, adsnote = {Provided by the SAO/NASA Astrophysics Data System} } |