Searching for High-z Radio Galaxies with the MGCLS

Autor: Kenda Knowles, Sinah Manaka, Michael F. Bietenholz, William D. Cotton, Matthew Hilton, Konstantinos Kolokythas, S. Ilani Loubser, Nadeem Oozeer

Publikováno v: Galaxies, Vol 9, Iss 4, p 89 (2021)

We present the results from a search for high-redshift radio galaxy (HzRG) candidates using 1.28 GHz data in the Abell 2751 field drawn from the MeerKAT Galaxy Cluster Legacy Survey (MGCLS). We used the HzRG criteria that a radio source is undetected

Externí odkaz: https://doaj.org/article/e959ae65aede45a4b81c61ce051b4745

Discovery of Rare Dying Radio Galaxies Using MeerKAT

Autor: Nadeem Oozeer, Lawrence Rudnick, Michael F. Bietenholz, Tiziana Venturi, Kenda Knowles, Konstantinos Kolokythas, Nceba Mhlahlo

Publikováno v: Galaxies, Vol 9, Iss 4, p 102 (2021)

Dying radio galaxies represent a stage of the evolution of active galactic nuclei (AGN), during which the accreting central black hole has switched off and/or falls to such a low level that the plasma outflow can no longer be sustained. When this hap

Externí odkaz: https://doaj.org/article/a8b80f3cad1c413b8a5a2177d21a2e0f

Searching for high-z radio galaxies with the MGCLS

Autor: Sinah M. Manaka, Matt Hilton, Nadeem Oozeer, W. D. Cotton, Kenda Knowles, S. Ilani Loubser, Michael Bietenholz, Konstantinos Kolokythas

Publikováno v: Galaxies, Vol 9, Iss 89, p 89 (2021)
Galaxies
Volume 9
Issue 4

We present results from a search for high-redshift radio galaxy (H$z$RG) candidates using 1.28 GHz data in the Abell 2751 field drawn from the MeerKAT Galaxy Cluster Legacy Survey (MGCLS). We use the H$z$RG criteria that a radio source is undetected

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7b7aa7f4bb92fb652bd75ce9cdafdc44
http://arxiv.org/abs/2110.14986

DeepSource: point source detection using deep learning

Autor: Nadeem Oozeer, Bruce A. Bassett, Zafiirah Hosenie, A Vafaei Sadr, Etienne E. Vos, Michelle Lochner

Publikováno v: Monthly Notices of the Royal Astronomical Society. 484:2793-2806

Point source detection at low signal-to-noise is challenging for astronomical surveys, particularly in radio interferometry images where the noise is correlated. Machine learning is a promising solution, allowing the development of algorithms tailore

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d1068313f3ff84c3353913da590e8a05
https://doi.org/10.1093/mnras/stz131

MERGHERS pilot: MeerKAT discovery of diffuse emission in nine massive Sunyaev–Zel’dovich-selected galaxy clusters from ACT

Autor: Alessandro Schillaci, S. Amodeo, Matt Hilton, Kavilan Moodley, Kevin M. Huffenberger, L. A. Page, Mark J. Devlin, Laura Newburgh, Zhilei Xu, F. de Gasperin, Christoph Pfrommer, Sigurd Naess, Kaustuv Basu, Maria Salatino, D. Crichton, Edward J. Wollack, B. Partridge, Nadeem Oozeer, Oleg Smirnov, Chiara Ferrari, C. Sifon, Andrew J. Baker, Brian J. Koopman, John P. Hughes, Denisha S. Pillay, Tony Mroczkowski, Kenda Knowles, Sinenhlanhla P. Sikhosana, Federico Nati

Publikováno v: Mon.Not.Roy.Astron.Soc.
Mon.Not.Roy.Astron.Soc., 2021, 504 (2), pp.1749-1758. ⟨10.1093/mnras/stab939⟩
Monthly Notices of the Royal Astronomical Society

The MeerKAT Exploration of Relics, Giant Halos, and Extragalactic Radio Sources (MERGHERS) survey is a planned project to study a large statistical sample of galaxy clusters with the MeerKAT observatory. Here we present the results of a 16--hour pilo

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0649deea9b9e758e2299f39f6c0b02ff
https://hal.archives-ouvertes.fr/hal-03122303