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20112026
most citedProperties of Hi-GAL clumps in the inner Galaxy]{The Hi-GAL compact source catalogue. I. The physical properties of the clumps in the inner Galaxy ()

201 citations · 709 across the 27 of their papers we have counts for

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22 papers · 1 filter

astro-ph.IM2025

High performance visualization for Astronomy and Cosmology: the VisIVO's pathway toward Exascale systems

Eva Sciacca, Nicola Tuccari, Fabio Vitello +1

Petabyte-scale data volumes are generated by observations and simulations in modern astronomy and astrophysics. Storage, access, and data analysis are significantly hampered by suc…

astro-ph.IM2025

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…

astro-ph.IM2024★ 1 cited

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…

astro-ph.IM2024

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…

astro-ph.IM2024★ 8 cited

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…

astro-ph.IM2023

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…

astro-ph.IM2022★ 1 cited

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…

astro-ph.IM2022★ 2 cited

A distributed computing infrastructure for LOFAR Italian community

Giuliano Taffoni, Ugo Becciani, Annalisa Bonafede +6

The LOw-Frequency ARray is a low-frequency radio interferometer composed by observational stations spread across Europe and it is the largest precursor of SKA in terms of effective…

astro-ph.IM2021

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…

astro-ph.IM2021★ 1 cited

LOgging UnifieD for ASTRI Mini Array

Federico Incardona, Alessandro Costa, Kevin Munari +9

The ASTRI (Astrofisica con Specchi a Tecnologia Replicante Italiana) Mini-Array (MA) project is an international collaboration led by the Italian National Institute for Astrophysic…

astro-ph.IM2021

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…

astro-ph.IM2020★ 2 cited

iDaVIE-v: immersive Data Visualisation Interactive Explorer for volumetric rendering

Lucia Marchetti, Thomas H. Jarrett, Angus Comrie +4

We present the beta release of iDaVIE-v, a new Virtual Reality software for data cube exploration. The beta release of iDaVIE-v (immersive Data Visualisation Interactive Explorer f…

astro-ph.IM2020★ 3 cited

Exploring and Interrogating Astrophysical Data in Virtual Reality

T. H. Jarrett, A. Comrie, L. Marchetti +9

Scientists across all disciplines increasingly rely on machine learning algorithms to analyse and sort datasets of ever increasing volume and complexity. Although trends and outlie…

astro-ph.IM2020

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…

astro-ph.IM2020★ 9 cited

CHIPP: INAF pilot project for HTC, HPC and HPDA

Giuliano Taffoni, Ugo Becciani, Bianca Garilli +5

CHIPP (Computing HTC in INAF Pilot Project) is an Italian project funded by the Italian Institute for Astrophysics (INAF) and promoted by the ICT office of INAF. The main purpose o…

astro-ph.IM2019★ 16 cited

CAESAR source finder: recent developments and testing

S. Riggi, F. Vitello, U. Becciani +13

A new era in radioastronomy will begin with the upcoming large-scale surveys planned at the Australian Square Kilometre Array Pathfinder (ASKAP). ASKAP started its Early Science pr…

astro-ph.IM2019★ 46 cited

First detection of the Crab Nebula at TeV energies with a Cherenkov telescope in a dual-mirror Schwarzschild-Couder configuration: the ASTRI-Horn telescope

S. Lombardi, O. Catalano, S. Scuderi +89

We report on the first detection of very high-energy (VHE) gamma-ray emission from the Crab Nebula by a Cherenkov telescope in dual-mirror Schwarzschild-Couder (SC) configuration.…

astro-ph.IM2018★ 9 cited

Vialactea Visual Analytics tool for Star Formation studies of the Galactic Plane

F. Vitello, E. Sciacca, U. Becciani +14

We present a visual analytics tool, based on the VisIVO suite, to exploit a combination of all new-generation surveys of the Galactic Plane to study the star formation process of t…

astro-ph.IM2016★ 6 cited

VIALACTEA knowledge base homogenizing access to Milky Way data

Marco Molinaro, Robert Butora, Marilena Bandieramonte +16

The VIALACTEA project has a work package dedicated to Tools and Infrastructure and, inside it, a task for the Database and Virtual Observatory Infrastructure. This task aims at pro…

astro-ph.IM2016

An Innovative Workspace for The Cherenkov Telescope Array

Alessandro Costa, Eva Sciacca, Ugo Becciani +4

The Cherenkov Telescope Array (CTA) is an initiative to build the next generation, ground-based gamma-ray observatories. We present a prototype workspace developed at INAF that aim…

astro-ph.IM2015

Advanced Environment for Knowledge Discovery in the VIALACTEA Project

Ugo Becciani, Marilena Bandieramonte, Massimo Brescia +16

The VIALACTEA project aims at building a predictive model of star formation in our galaxy. We present the innovative integrated framework and the main technologies and methodologie…

astro-ph.IM2011★ 6 cited

VisIVOWeb: A WWW Environment for Large-Scale Astrophysical Visualization

A. Costa, U. Becciani, P. Massimino +5

This article presents a newly developed Web portal called VisIVOWeb that aims to provide the astrophysical community with powerful visualization tools for large-scale data sets in…