Gaia GraL: Gaia DR2 gravitational lens systems: I. New quadruply imaged quasar candidates around known quasars
Sign Up to like & getrecommendations! Published in 2018 at "Astronomy and Astrophysics"
DOI: 10.1051/0004-6361/201833337
Abstract: Context. Multiply imaged gravitationally lensed quasars are among the most interesting and useful observable extragalactic phenomena. Because their study constitutes a unique tool in various fields of astronomy, they are highly sought, but difficult to… read more here.
Keywords: quasar candidates; imaged quasar; gaia; quadruply imaged ... See more keywords
Spectroscopy of QUBRICS quasar candidates: 1672 new redshifts and a Golden Sample for the Sandage Test of the Redshift Drift
Sign Up to like & getrecommendations! Published in 2023 at "Monthly Notices of the Royal Astronomical Society"
DOI: 10.1093/mnras/stad1007
Abstract: The QUBRICS (QUasars as BRIght beacons for Cosmology in the Southern hemisphere) survey aims at constructing a sample of the brightest quasars with $z \lower.5ex\hbox{$\; \buildrel> \over \sim \;$}2.5$, observable with facilities in the Southern… read more here.
Keywords: quasar candidates; 1672 new; sandage test; spectroscopy ... See more keywords
Host galaxies of high-redshift extremely red and obscured quasars
Sign Up to like & getrecommendations! Published in 2019 at "Monthly Notices of the Royal Astronomical Society"
DOI: 10.1093/mnras/stz2071
Abstract: We present Hubble Space Telescope 1.4–1.6 $\mu$m images of the hosts of 10 extremely red quasars (ERQs) and six type 2 quasar candidates at z = 2–3. ERQs, whose bolometric luminosities range between 1047 and 1048 erg s−1,… read more here.
Keywords: quasar candidates; high redshift; host galaxies; type quasar ... See more keywords
Efficient selection of quasar candidates based on optical and infrared photometric data using machine learning
Sign Up to like & getrecommendations! Published in 2019 at "Monthly Notices of the Royal Astronomical Society"
DOI: 10.1093/mnras/stz680
Abstract: We aim to select quasar candidates based on the two large survey databases, Pan-STARRS and AllWISE. Exploring the distribution of quasars and stars in the colour spaces, we find that the combination of infrared and… read more here.
Keywords: quasar candidates; optical infrared; machine learning; quasar ... See more keywords