7–10 Jun 2022
H10 Taburiente Playa
Atlantic/Canary timezone

Photometric/Astrometric classification of quasars using machine learning algorithms

7 Jun 2022, 12:58
2m
Poster

Speakers

Ioannis MageirasMs Marina Koukouvaou (NBI)

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 try to use novel more unbiased quasar selection techniques to reach a more reliable and complete census of quasars in a large section of the sky.

Primary authors

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