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* Davide Punzo, <email>punzodavide@hotmail.it</email>; <email>D.Punzo@astro.rug.nl</email> | * 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> | * Thijs van der Hulst, <email>J.M.van.der.Hulst@astro.rug.nl</email> | ||
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Additionally, the reprojection module is used in the AstroVolume GUI to create contours of datasets reprojected over another dataset. | Additionally, the reprojection module is used in the AstroVolume GUI to create contours of datasets reprojected over another dataset. | ||
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Latest revision as of 02:26, 27 November 2019
Home < Documentation < Nightly < Modules < AstroReprojection
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For the latest Slicer documentation, visit the read-the-docs. |
Introduction and Acknowledgements
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Authors: Acknowledgements: Contacts:
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Module Description
The AstroReproject module implements image reprojection (resampling) methods for astronomical datasets. Specifically, the methods have been designed to reproject the spatial axis, (e.g., 2D images or 3D datacubes over 2D images). For example in the case of datacubes, the algorithm reprojects each slice (spatial celestial axis) of the datacube with the reference data (treating each slice as independent). However, overlaying two 3D astronomical datasets requires also to resample the velocity axes, which is not implemented in this module.
The AstroReproject module requires that the WCS information contained in the fits header are correct and that the two datasets ahve the same celestial system of reference (e.g., J2000/FK5).
Panels and their use
Additionally, the reprojection module is used in the AstroVolume GUI to create contours of datasets reprojected over another dataset.
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},
}
