1st Annual Niels Bohr Institute MSc. Student Symposium

Photometric/astrometric classification of QSOs using machine learning algorithms

25 Mar 2022, 16:05

1h 40m

Hall (H.C.Ørsted Institute)

Poster Poster session

Speakers

Mr Ioannis MageirasMs Marina Koukouvaou

Description

Quasars are manifestations of accreting supermassive blackholes in the centers of galaxies. It is currently uncertain how many quasars there are as quasar selection is known to be biased and incomplete. In this work we use a novel more unbiased quasar selection technique based on machine learning to reach a more reliable and complete census of quasars in a large section of the sky around the northern galactic pole.