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* Thijs van der Hulst, <email>J.M.van.der.Hulst@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> | * Jos Roerdink <email>j.b.t.m.roerdink@rug.nl</email> | ||
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Latest revision as of 17:04, 21 November 2019
Home < Documentation < 4.10 < Modules < AstroVolume
For the latest Slicer documentation, visit the read-the-docs. |
Introduction and Acknowledgements
Authors: Contributors: Acknowledgements: Contacts:
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Module Description
The AstroVolume can read/write FITS file (astronomical data format) and handle the color function and display of Astro Volumes.
Panels and their use
Handling the loading and writing of FITS files
MRML nodes that store the data-cube and the FITS keywords in the 3DSlicer object-tree (Data module)
The control of the display coordinates
The display of Beam information in the XY view
The control of the 2D color transfer function
The display of the Astronomical World Coordinate (WCS) and Data Probing for 2D views
The display of Beam information in the XY view
The control of the 3D color transfer function
Tools to convert mask from FITS files (e.g., generated by SoFiA) into segmentations objects and viceversa
Astro segmentation editor effect
AstroCloudLasso Effect
The AstroCloudLasso segmentation editor effect is a tool to interactively perform a 3D selection. This 3D selection (the segmentation) can be used either for:
1. changing an imported mask generated by automated algorithms (e.g., source finders);
2. providing an input mask to a variety of tools in SlicerAstro (e.g., MomentMaps module and Modeling module).
References
@ARTICLE{2017A&C....19...45P, author = {{Punzo}, D. and {van der Hulst}, J.~M. and {Roerdink}, J.~B.~T.~M. and {Fillion-Robin}, J.~C. and {Yu}, L.}, title = "{SlicerAstro: A 3-D interactive visual analytics tool for HI data}", journal = {Astronomy and Computing}, archivePrefix = "arXiv", eprint = {1703.06651}, primaryClass = "astro-ph.IM", keywords = {Radio lines: galaxies, Scientific visualization, Visual analytics, Agile software development, Object oriented development, Empirical software validation}, year = 2017, month = apr, volume = 19, pages = {45-59}, doi = {10.1016/j.ascom.2017.03.004}, }