International Conference on Machine Learning for Astrophysics 2nd Ed. - ML4ASTRO2

Session

Past and future multiwavelength all-sky surveys

8 Jul 2024, 16:30

Aula Magna (Catania)

Conveners

Past and future multiwavelength all-sky surveys: IV

• Simone Riggi (Istituto Nazionale di Astrofisica (INAF))

225. Radio Galaxy Zoo: EMU - paving the way for EMU cataloguing using AI and citizen science

Hongming Tang

08/07/2024, 16:30

The Evolutionary Map of the Universe (EMU) survey is an ongoing large-scale radio continuum survey conducted by ASKAP, which will discover around 40 million radio sources. While conventional source-finding algorithms could handle ~90% of source cataloguing in EMU, there might be 4 million sources with well-extended and complex morphological structures awaited to be identified through visual...

226. WALLABY: HI source-finding with a machine learning framework

Li Wang

08/07/2024, 16:50

The data volumes generated by the WALLABY atomic Hydrogen (HI) survey using the Australian SKA Pathfinder (ASKAP) is necessitating greater automation and reliable automation in the task of source-finding and cataloguing. To this end, we introduce and explore a novel deep learning framework for detecting low Signal-to-Noise Ratio (SNR) HI sources in an automated fashion. Specifically, our...

227. A fully convolutional neural network to detect diffuse sources in radio surveys

Chiara Stuardi

08/07/2024, 17:10

The forthcoming generation of radio telescope arrays promises significant advancements in sensitivity and resolution, enabling the identification and characterization of many new faint and diffuse radio sources. Conventional manual cataloging methodologies are anticipated to be insufficient in fully exploiting the capabilities of new radio surveys, necessitating the integration of artificial...