Radio source analysis services for the SKA and precursors

TL;DR

This paper discusses the development of integrated radio source analysis services within visualization tools to enhance automated cataloging for upcoming large-scale radio surveys like the SKA.

Contribution

It introduces the CIRASA project, which develops and integrates source analysis algorithms into visualization platforms, deployed on the EOSC infrastructure.

Findings

Development of source extraction and classification services

Integration into ViaLactea platform for improved survey analysis

Deployment on European Open Science Cloud infrastructure

Abstract

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.