55 citations · 164 across the 39 of their papers we have counts for
10 papers · 1 filter
Evolved stars: dust formation and mass loss
Luis Velilla-Prieto, Wouter Vlemmings, Guillermo Quintana-Lacaci +18
Evolved stars drive the chemical enrichment of the Universe, acting as primary producers of elemental products of nucleosynthesis and cosmic dust. Unraveling the exact role played…
Self-supervised contrastive learning of radio data for source detection, classification and peculiar object discovery
S. Riggi, T. Cecconello, S. Palazzo +14
New advancements in radio data post-processing are underway within the SKA precursor community, aiming to facilitate the extraction of scientific results from survey images through…
Classification of compact radio sources in the Galactic plane with supervised machine learning
S. Riggi, G. Umana, C. Trigilio +13
Generation of science-ready data from processed data products is one of the major challenges in next-generation radio continuum surveys with the Square Kilometre Array (SKA) and it…
Radio source analysis services for the SKA and precursors
Simone Riggi, Cristobal Bordiu, Daniel Magro +8
New developments in data processing and visualization are being made in preparation for upcoming radioastronomical surveys planned with the Square Kilometre Array (SKA) and its pre…
Astronomical source detection in radio continuum maps with deep neural networks
S. Riggi, D. Magro, R. Sortino +13
Source finding is one of the most challenging tasks in upcoming radio continuum surveys with SKA precursors, such as the Evolutionary Map of the Universe (EMU) survey of the Austra…
Latent Space Explorer: Unsupervised Data Pattern Discovery on the Cloud
T. Cecconello, C. Bordiu, F. Bufano +6
Extracting information from raw data is probably one of the central activities of experimental scientific enterprises. This work is about a pipeline in which a specific model is tr…
Astronomical source finding services for the CIRASA visual analytic platform
S. Riggi, C. Bordiu, F. Vitello +11
Innovative developments in data processing, archiving, analysis, and visualization are nowadays unavoidable to deal with the data deluge expected in next-generation facilities for…
Novel EOSC Services for Space Challenges: The NEANIAS First Outcomes
Eva Sciacca, Mel Krokos, Ugo Becciani +13
The European Open Science Cloud (EOSC) initiative faces the challenge of developing an agile, fit-for-purpose, and sustainable service-oriented platform that can address the evolvi…
Astronomical research in the next decade: trends, barriers and needs in data access, management, visualization and analysis
C. Bordiu, F. Bufano, E. Sciacca +5
We report the outcomes of a survey that explores the current practices, needs and expectations of the astrophysics community, concerning four research aspects: open science practic…
Toward porting Astrophysics Visual Analytics Services to the European Open Science Cloud
Eva Sciacca, Fabio Vitello, Ugo Becciani +6
The European Open Science Cloud (EOSC) aims to create a federated environment for hosting and processing research data to support science in all disciplines without geographical bo…