# Astronomical source finding services for the CIRASA visual analytic platform

arXiv: https://arxiv.org/abs/2110.08211 · HTML: https://mlsanity.com/paper/2110.08211/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 2 of its 44 references that are in the map.
- First posted on arXiv 15 Oct 2021.

## Builds on (most cited first, 2 of 2)

- [CAESAR source finder: recent developments and testing](https://mlsanity.com/paper/1909.06116/) (2019)
- [Evolutionary Map of the Universe (EMU):Compact radio sources in the SCORPIO field towards the Galactic plane](https://mlsanity.com/paper/2101.03843/) (2021)

## Abstract (arXiv)

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.