21 citations · 35 across the 9 of their papers we have counts for
7 papers · 1 filter
LoTSS of dual AGN: enhanced detectability and prospects for a systematic search
Q. D'Amato, F. Mannucci, E. De Rubeis +25
Context: Dual active galactic nuclei (DAGN) - systems of two accreting supermassive black holes at kpc-scale separations - trace galaxy mergers and are the progenitors of gravitati…
The Road to Identifying the Earliest Radio-Powerful AGN with the SKA
Jose Afonso, Stergios Amarantidis, Stas Shabala +20
The Epoch of Reionization (EoR) is one of the most pivotal frontiers in modern astrophysics, marking the emergence of the first galaxies, stars, and supermassive black holes (SMBHs…
AGN Feeding & Feedback Over the Galactic Scales
Filippo M. Maccagni, Vincenzo Mainieri, Isabella Prandoni +8
Active Galactic Nuclei (AGN) are key drivers of galaxy evolution, triggered by cold gas accreting onto a super-massive black hole. However, the processes regulating this gas accret…
The SKA-VLBI Perspective on Radio-Quiet AGN
Francesca Panessa, Tao An, James Petley +21
The accretion-ejection mechanism in Active Galactic Nuclei (AGN) remains a central open problem in astrophysics, tied to the role of AGN feedback in galaxy formation and evolution.…
The Emerging Population of High-energy Emitting Radio Galaxies
G. Bruni, V. S. Paliya, D. J. Saikia +22
High-energy emission from radio galaxies provides a unique laboratory to study the connection between accretion, jet formation, and particle acceleration in active galactic nuclei…
Compact radio galaxies: the case of FR0s
R. D. Baldi, A. Capetti, G. Giovannini +20
Fanaroff-Riley type 0 (FR0) radio galaxies, a newly-identified and abundant population of low-power radio-loud active galactic nuclei, present a significant challenge to our unders…
EMU/GAMA: A statistical perspective on active galactic nuclei diagnostics
J. Prathap, A. M. Hopkins, R. Carvajal +19
While it is well known that galaxies are composites of many emission processes, quantifying the various contributions remains challenging. In this work, we use unsupervised machine…