Documentation/Nightly/Modules/AstroReproject

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European Research Council Kapteyn Astronomical Institute

Introduction and Acknowledgements

Authors:
Davide Punzo (Kapteyn Astronomical Institute, University of Groningen)
Thijs van der Hulst (Kapteyn Astronomical Institute, University of Groningen)

Acknowledgements:
This work was supported by the European Research Council under the European Union's Seventh Framework Programme (FP/2007-2013)/ERC Grant Agreement nr. 291-531.

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>

Back to SlicerAstro home

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

AstroReproject.png

Additionally, the reprojection module is used in the AstroVolume GUI to create contours of datasets reprojected over another dataset.

AstroReprojectContours.png


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},
}