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MADCUBA: An ImageJ based astronomical data analysis system


Astronomical investigators have some problems using image analysis tools in their research. Applications are not customized to their necessities.

ImageJ is widely recognized by its powerful utilities in image processing and its versatility visualization of multiaxis data arrays. It also offers a very powerful infrastructure for adding customized plugings and run macros. In the last decade, astronomical data have evolved from single images, single spectra or slit-spectra to imaging spectroscopy measured in 3D cubes. ImgaeJ offers an unique infrastructure for the visualization and manipulation of astronomical data. However, the astronomical data analisys and visualization require the implementation of the World Coordinates System (WCS) and the customization of the imageJ processors, the image display and the plot for astronomical data analysis and visualization.

We have started to develop the MADrid Data CUBe Analisys (MADCUBA) using the ImageJ infrastructure to make the astronomical data cube processing faster and user friendly. We will present the progress we have made in the implementation of the spatial WCS developed by Skyview and the spectral WCS developed by us. We will also present the visualization tools customized for astronomical purpose. These will make possible to process at the same time the two spatial dimension images and the plot of the spectrum in real time

MADCUBA astronomy FITS WCS ImageJ java

Jose Luis Asensio Igoa



Short Biography

I received my college education at Public University of Nabarre, where I finished my telecommunication degree three years ago.

I am a java certified programmer and java certified web component developer.

I am in charge of the design and development of the astronomical analysis software we are presenting to the conference in the infrared-astrophysics (radioastronomy) department of the “Consejo Superior de Investigaciones Científicas” (CSIC) of Spain -Spanish National Research Council.

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