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| Paper: |
VisIVO Visual Analytics: An Interactive Visualization Tool for Astrophysical Data Analysis |
| Volume: |
541, ADASS XXXIII |
| Page: |
301 |
| Authors: |
Giuseppe Tudisco; Fabio Vitello; Ugo Becciani; Eva Sciacca; Simone Riggi; Marco Molinaro; Robert Butora; Sergio Molinari; Milena Benedettini |
| DOI: |
10.26624/XFBY2884 |
| Abstract: |
Scientific visualization serves as a critical bridge between complex data
sets and meaningful insights, enabling researchers to gain a deeper understanding of
intricate astrophysical phenomena. The primary goal of scientific visualization techniques is to provide visual images, 3D reconstructions and animations that assist scientists in identifying properties and correlations within large and complex data. Advanced
visualization tools can also be used to learn in great depth aspects that are otherwise difficult to explore, such as the process of star and galaxy formation and the evolution of
large-scale structures in the Universe. We present the latest developments and results
of the VisIVO Framework and showcase its Visual Analytics environment. This environment, whose developments are driven by the 2020 ERC-Synergy funded project
ECOGAL and SKA Regional Centres communities, enables the integration of different
types of visualization to analyze the correlation between heterogeneous data to study
the star formation process of our Galaxy. The software provides the ability to visualize and compare multi-wavelength 2D images with 3D data cubes, visualize compact
and extended sources obtained through dedicated Table Access Protocol (TAP) and
source extractor services, and generate moment maps. An overview of the software’s
main functionalities is presented, with some technical details outlining its visualization
pipeline and its developments towards a client-server based implementation to enable
on-site visualization. |
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