Finding AGN remnant candidates based on radio morphology with machine learning

Rafaël I.J. Mostert^*, Raffaella Morganti, Marisa Brienza, Kenneth J. Duncan, Martijn S.S.L. Oei, Huub J.A. Röttgering, Lara Alegre, Martin J. Hardcastle, Nika Jurlin

^*Corresponding author for this work

School of Physics and Astronomy

Research output: Contribution to journal › Article › peer-review

1 Finished
1 Active

2 results

Active
Revealing the hidden early lives of super-massive black holes
Duncan, K.
1/09/22 → 31/08/27
Project: Research
Finished
HIZRAD: How The Monsters Were Made: The Formation Of The Most Massive Black Holes In The Universe
Duncan, K.
1/09/20 → 31/08/22
Project: Research