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arXiv 2301.02804astro-ph.IM
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Radio source analysis services for the SKA and precursors

Simone Riggi, Cristobal Bordiu, Daniel Magro, Renato Sortino, Carmelo Pino, Eva Sciacca, Filomena Bufano, Thomas Cecconello, Giuseppe Vizzari, Fabio Vitello, Giuseppe Tudisco

英文摘要:

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 precursors. A major goal is enabling extraction of science information from the data in a mostly automated way, possibly exploiting the capabilities offered by modern computing infrastructures and technologies. In this context, the integration of source analysis algorithms into data visualization tools is expected to significantly improve and speed up the cataloguing process of large area surveys. To this aim, the CIRASA (Collaborative and Integrated platform for Radio Astronomical Source Analysis) project was recently started to develop and integrate a set of services for source extraction, classification and analysis into the ViaLactea visual analytic platform and knowledge base archive. In this contribution, we will present the project objectives and tools that have been developed, interfaced and deployed so far on the prototype European Open Science Cloud (EOSC) infrastructure provided by the H2020 NEANIAS project.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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