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| Paper: |
Visualization and Logical Binding of Hyperspectral Data Using QuickViz and SAADA |
| Volume: |
442, Astronomical Data Analysis Software and Systems XX (ADASSXX) |
| Page: |
673 |
| Authors: |
Petremand, M.; Michel, L.; Louys, M. |
| Abstract: |
Next generation integral-field spectrographs (IFS) such as MUSE
will record large hyperspectral cubes and thus generate a huge amount of
observational and interpretable data. Their visualization remains a
problematic and crucial task before any processing. In addition, observation
parameters such as variance values may also be associated to each cube
and be involved in the scientific interpretation of the data. In this
paper, we propose a new software named QuickViz that provides a set of
basic and advanced features enabling the exploration of such hyperspectral
images with their related observation parameters. This new software is designed in Java as an Aladin plug-in and thus extends its
hyperspectral functionalities while managing all the interactions between cubes and extracted spectra. Moreover, the specifications of the SAADA
application allowing to automatically generate astronomical
relational databases give the ability to easily explore such large data
sets with respect to their complex relationships. |
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