6 papers
iDaVIE v1.0: A virtual reality tool for interactive analysis of astronomical data cubes
Alexander Sivitilli, Lucia Marchetti, Angus Comrie +10
As modern astronomy confronts unprecedented data volumes, automated pipelines and machine-learning techniques have become essential for processing and analysis. As these workflows…
Developing a Portable Solution for Post-Event Analysis Pipelines
Leonardo Pelonero, Fabio Vitello, Eva Sciacca +3
In recent years, the monitoring and study of natural hazards have gained significant attention, particularly due to climate change, which exacerbates incidents like floods, drought…
Solar flare forecasting with foundational transformer models across image, video, and time-series modalities
S. Riggi, P. Romano, A. Pilzer +1
We present a comparative study of transformer-based architectures for solar flare forecasting using heterogeneous data modalities, including images, video sequences, and time-serie…
From Local to Remote: VisIVO Visual Analytics in the Era of the Square Kilometre Array
Giuseppe Tudisco, Fabio Vitello, Eva Sciacca +1
The field of astrophysics is continuously advancing, with an ever-growing influx of data requiring robust and efficient analysis tools. As the Square Kilometre Array (SKA) radio te…
The Gaia AVU-GSR solver: a CPU + GPU parallel code toward Exascale systems
Valentina Cesare, Ugo Becciani, Alberto Vecchiato +3
The solver module of the Astrometric Verification Unit - Global Sphere Reconstruction (AVU-GSR) pipeline aims to find the astrometric parameters of stars in the Milky…
Self-supervised learning for radio-astronomy source classification: a benchmark
Thomas Cecconello, Simone Riggi, Ugo Becciani +5
The upcoming Square Kilometer Array (SKA) telescope marks a significant step forward in radio astronomy, presenting new opportunities and challenges for data analysis. Traditional…