Astronomical source finding services for the CIRASA visual analytic platform

TL;DR

This paper presents the development of the CIRASA visual analytic platform that integrates advanced source finding and classification tools to enhance radio astronomy data analysis and cataloguing efficiency.

Contribution

It introduces a novel platform combining multiple source finding and analysis tools for improved radio astronomy data processing.

Findings

Integration of source finding services into CIRASA platform

Enhanced efficiency in cataloguing large radio survey data

Facilitated advanced source classification and analysis

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.