60 citations · 136 across the 6 of their papers we have counts for
6 papers
Classification of compact radio sources in the Galactic plane with supervised machine learning
S. Riggi, G. Umana, C. Trigilio +13
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 it…
Selection of powerful radio galaxies with machine learning
R. Carvajal, I. Matute, J. Afonso +12
We developed and trained a pipeline of three machine learning (ML) models than can predict which sources are more likely to be an AGN and to be detected in specific radio surveys.…
CAESAR source finder: recent developments and testing
S. Riggi, F. Vitello, U. Becciani +13
A new era in radioastronomy will begin with the upcoming large-scale surveys planned at the Australian Square Kilometre Array Pathfinder (ASKAP). ASKAP started its Early Science pr…
Automated detection of extended sources in radio maps: progress from the SCORPIO survey
S. Riggi, A. Ingallinera, P. Leto +7
Automated source extraction and parameterization represents a crucial challenge for the next-generation radio interferometer surveys, such as those performed with the Square Kilome…
SCORPIO: A deep survey of Radio Emission from the stellar life-cycle
G. Umana, C. Trigilio, T. M. O. Franzen +7
Radio emission has been detected in a broad variety of stellar objects from all stages of stellar evolution. However, most of our knowledge originates from targeted observations of…
Optical and X-ray Identification of Faint Radio Sources in the GOODS-S ACS Field
J. Afonso, B. Mobasher, A. Koekemoer +2
We present optical and X-ray identifications for the sixty-four radio sources in the GOODS-S ACS field revealed in the ATCA 1.4 GHz survey of the Chandra Deep Field South. Optical…