MAIN PROJECT OBJECTIVE
Programme funded under the National Recovery and Resilience Plan (PNRR), Mission 4 "Education and Research" – Component 2 "From Research to Business" – Investment Line 1.4, funded by the European Union – NextGenerationEU, Project "ICSC" CN00000013 SPOKE 3, CUP C53C22000350006, Thematic Area 1: Scientific Visualisation with Artificial Intelligence Support, Sub-theme B.
 
DESCRIPTION
Development of interfaces for the visualisation and analysis of scientific astrophysical big data — both observational and theoretical — through virtual reality systems.
 

CUP: C53C22000350006
TOTAL AMOUNT: € 237.120,80
FUNDED AMOUNT: € 179.866,02

PROJECT START: 01/10/2024
EXPECTED END: 30/11/2025

CONTACT
[email protected] | www.netservice.eu

ASTROVISIO makes astrophysical data visualisation immersive through virtual reality.

The AstroVisio project aims to develop innovative interfaces for the visualisation and analysis of astrophysical data through immersive virtual environments.

The analysis of scientific data from astrophysical observations requires advanced tools capable of facilitating the understanding of complex, multidimensional datasets. Virtual reality and immersive visualisation technologies represent a new approach to exploring large volumes of scientific data.

Virtual reality for scientific big data analysis

The developed platform enables researchers to explore astrophysical datasets — both observational and theoretical — through three-dimensional visualisation systems and virtual reality technologies. This approach allows researchers to analyse large volumes of data more intuitively, facilitating the identification of complex patterns and phenomena.

Technologies and application areas

The platform enables exploration of astrophysical datasets through three-dimensional visualisation and virtual reality technologies, allowing researchers to analyse large volumes of data more intuitively and identify complex patterns and phenomena.

Virtual reality for scientific big data analysis
Immersive interfaces for exploring complex astrophysical datasets.
 
Interactive big data analytics
Tools for understanding and interpreting large data volumes. Support for managing complex scientific files such as FITS files from astronomical observations.
 
HPC infrastructure integration
Use of advanced computing systems to support data processing.
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