6 papers · 1 filter
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…
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…
Detection and classification of radio sources with deep learning
S. Riggi, T. Cecconello, U. Becciani +1
In this paper we present three different applications, based on deep learning methodologies, that we are developing to support the scientific analysis conducted within the ASKAP-EM…