Discovering exotic AGN behind the Magellanic Clouds

Autor: T. D. Joseph, Eleni Vardoulaki, Cameron P. M. Bell, Miroslav Filipovic, Clara M. Pennock, Jacco Th. van Loon
Rok vydání: 2019
Předmět:
Zdroj: Proceedings of the International Astronomical Union. 15:335-338
ISSN: 1743-9221
1743-9213
DOI: 10.1017/s1743921320003270
Popis: The nearby Magellanic Clouds system covers more than 200 square degrees on the sky. Much of it has been mapped across the electromagnetic spectrum at high angular resolution and sensitivity X-ray (XMM-Newton), UV (UVIT), optical (SMASH), IR (VISTA, WISE, Spitzer, Herschel), radio (ATCA, ASKAP, MeerKAT). This provides us with an excellent dataset to explore the galaxy populations behind the stellar-rich Magellanic Clouds. We seek to identify and characterise AGN via machine learning algorithms on this exquisite data set. Our project focuses not on establishing sequences and distributions of common types of galaxies and active galactic nuclei (AGN), but seeks to identify extreme examples, building on the recent accidental discoveries of unique AGN behind the Magellanic Clouds.
Proceedings paper of the IAU symposium "Nuclear Activity in Galaxies Across Cosmic Time" (Ethiopia) accepted to be published under the Cambridge University Press, eds. M. Povic, P. Marziani, J. Masegosa, H. Netzer, S. H. Negu, and S. B. Tessema
Databáze: OpenAIRE