activity
20162026
most citedThe Evolutionary Map of the Universe: A new radio atlas for the southern hemisphere sky

20 citations · 77 across the 32 of their papers we have counts for

collaborators
Showing 2024Show all

11 papers · 1 filter

astro-ph.HE2024

Diprotodon on the sky. The Large Galactic Supernova Remnant (SNR) G278.94+1.35

Miroslav D. Filipović, S. Lazarević, M. Araya +41

We present a re-discovery of G278.94+1.35 as possibly one of the largest known Galactic supernova remnants (SNR) - that we name Diprotodon. While previously established as a Galact…

astro-ph.GA2024★ 1 cited

The SARAO MeerKAT Galactic Plane Survey filamentary source catalogue

Gwenllian M. Williams, Mark A. Thompson, Mubela Mutale +11

We present a catalogue of filamentary structures identified in the SARAO (South African Radio Astronomy Observatory) MeerKAT 1.3 GHz Galactic Plane Survey (SMGPS). We extract 933 f…

astro-ph.IM2024★ 1 cited

Self-supervised learning for radio-astronomy source classification: a benchmark

Thomas Cecconello, Simone Riggi, Ugo Becciani +5

The upcoming Square Kilometer Array (SKA) telescope marks a significant step forward in radio astronomy, presenting new opportunities and challenges for data analysis. Traditional…

astro-ph.IM2024

Detection and classification of radio sources with deep learning

S. Riggi, T. Cecconello, U. Becciani +1

In this paper we present three different applications, based on deep learning methodologies, that we are developing to support the scientific analysis conducted within the ASKAP-EM…

astro-ph.GA2024★ 17 cited

Supernova Remnant Candidates Discovered by the SARAO MeerKAT Galactic Plane Survey

L. D. Anderson, F. Camilo, Timothy Faerber +13

Context. Sensitive radio continuum data could remove the difference between the number of known supernova remnants (SNRs) in the Galaxy compared to that expected, but due to confus…

astro-ph.GA2024

Sifting the debris: Patterns in the SNR population with unsupervised ML methods

F. Bufano, C. Bordiu, T. Cecconello +13

Supernova remnants (SNRs) carry vast amounts of mechanical and radiative energy that heavily influence the structural, dynamical, and chemical evolution of galaxies. To this day, m…

astro-ph.GA2024★ 5 cited

MeerKAT reveals a ghostly thermal radio ring towards the Galactic Centre

C. Bordiu, M. D. Filipovic, G. Umana +26

We present the serendipitous discovery of a new radio-continuum ring-like object nicknamed Kyklos (J1802-3353), with MeerKAT UHF and L-band observations. The radio ring, which rese…

astro-ph.IM2024★ 8 cited

Self-supervised contrastive learning of radio data for source detection, classification and peculiar object discovery

S. Riggi, T. Cecconello, S. Palazzo +14

New advancements in radio data post-processing are underway within the SKA precursor community, aiming to facilitate the extraction of scientific results from survey images through…

astro-ph.GA2024

RG-CAT: Detection Pipeline and Catalogue of Radio Galaxies in the EMU Pilot Survey

Nikhel Gupta, Ray P. Norris, Zeeshan Hayder +15

We present source detection and catalogue construction pipelines to build the first catalogue of radio galaxies from the 270 pilot survey of the Evolutionary Map of the…

astro-ph.SR2024

The distance to CRL 618 through its radio expansion parallax

L. Cerrigone, G. Umana, C. Trigilio +9

CRL 618 is a post-AGB star that has started to ionize its ejecta. Its central HII region has been observed over the last 40 years and has steadily increased in flux density at radi…

astro-ph.IM2024

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…