Classification of compact radio sources in the Galactic plane with supervised machine learning

arXiv:2402.15232v1 Announce Type: cross
Abstract: Generation of science-ready data from processed data products is one of the major challenges in next-generation radio continuum surveys with the Square Kilometre Array (SKA) and its precursors, due to the expected data volume and the need to achieve a high degree of automated processing. Source extraction, characterization, and classification are the major stages involved in this process. In this work we focus on the classification of compact radio sources in the Galactic plane using …

abstract array arxiv astro-ph.im challenges classification cs.lg data data products machine machine learning major next plane precursors products radio science square stat.ml supervised machine learning surveys type