The work “Astronomical source finding services for the CIRASA visual analytic platform“, with the support of NEANIAS project, has been published in Cornell University - arXiv.org.
"Astronomical source finding services for the CIRASA visual analytic platform".
- Authors: S. Riggi [1] , C. Bordiu [1][2], F. Vitello [3] , G. Tudisco [1] , E. Sciacca [1] , D. Magro [4][1], R. Sortino [5][1] C. Pino [1][5], M. Molinaro [6] , M. Benedettini [7] , S. Leurini [8] , F. Bufano [1] , M. Raciti [1] , U. Becciani [1]
- Affiliations: [1] INAF - Osservatorio Astrofisico di Catania, Via Santa Sofia 78, 95123 Catania, Italy [2] Centro de Astrobiología (INTA-CSIC), Ctra. M-108, km. 4, 28850 Torrejón de Ardoz, Madrid, Spain [3] INAF - Istituto. di Radioastronomia, Via Gobetti 101, 40127 Bologna, Italy [4] Institute of Space Sciences and Astronomy, University of Malta, Msida MSD2080, Malta [5] Department of Electrical, Electronic and Computer Engineering, University of Catania, Catania, Italy [6] INAF - Osservatorio Astronomico di Trieste, Via G.B. Tiepolo 11, 34143 Trieste, Italy [7] INAF - Istituto di Astrofisica e Planetologia Spaziali, Via del Fosso del Cavaliere 100, 00133 Roma, Italy [8] INAF - Osservatorio Astronomico di Cagliari, Via della Scienza 5, 09047 Selargius (CA), Italy.
Abstract
Innovative developments in data processing, archiving, analysis, and visualization are nowadays unavoidable to deal with the data deluge expected in next-generation facilities for radio astronomy, such as the Square Kilometre Array (SKA) and its precursors. In this context, the integration of source extraction and analysis algorithms into data visualization tools could significantly improve and speed up the cataloguing process of large area surveys, boosting astronomer productivity and shortening publication time. To this aim, we are developing a visual analytic platform (CIRASA) for advanced source finding and classification, integrating state-of-the-art tools, such as the CAESAR source finder, the ViaLactea Visual Analytic (VLVA) and Knowledge Base (VLKB). In this work, we present the project objectives and the platform architecture, focusing on the implemented source finding services.
Keywords:
radio astronomy, infrared astronomy, Galactic-Plane, source-finding, software, astroinformatics, Astronomy web services, Distributed computing, Astronomy data visualization, SKA, SKA Precursors
Acknowledgments
Part of the research leading to these results has received funding from INAF under the PRIN TEC programme (CIRASA) and from the European Commissions Horizon 2020 research and innovation programme under the grant agreement No. 863448 (NEANIAS).
Get the article at https://arxiv.org/pdf/2110.08211.pdf