Spectroscopic classification of a complete sample of astrometrically-selected quasar candidates using Gaia DR2
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Spectroscopic classification of a complete sample of astrometrically-selected quasar candidates using Gaia DR2. / Heintz, K. E.; Fynbo, J. P. U.; Geier, S. J.; Moller, P.; Krogager, J-K; Konstantopoulou, C.; de Burgos, A.; Christensen, L.; Steinhardt, C. L.; Milvang-Jensen, B.; Jakobsson, P.; Hog, E.; Arvedlund, B. E. H. K.; Christiansen, C. R.; Hansen, T. B.; Henriksen, P. D.; Kuszon, K. B.; McKenzie, I. B.; Mosekjaer, K. A.; Paulsen, M. F. K.; Sukstorf, M. N.; Wilson, S. N.; Orgaard, S. K. K.
In: Astronomy & Astrophysics, Vol. 644, A17, 24.11.2020.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Spectroscopic classification of a complete sample of astrometrically-selected quasar candidates using Gaia DR2
AU - Heintz, K. E.
AU - Fynbo, J. P. U.
AU - Geier, S. J.
AU - Moller, P.
AU - Krogager, J-K
AU - Konstantopoulou, C.
AU - de Burgos, A.
AU - Christensen, L.
AU - Steinhardt, C. L.
AU - Milvang-Jensen, B.
AU - Jakobsson, P.
AU - Hog, E.
AU - Arvedlund, B. E. H. K.
AU - Christiansen, C. R.
AU - Hansen, T. B.
AU - Henriksen, P. D.
AU - Kuszon, K. B.
AU - McKenzie, I. B.
AU - Mosekjaer, K. A.
AU - Paulsen, M. F. K.
AU - Sukstorf, M. N.
AU - Wilson, S. N.
AU - Orgaard, S. K. K.
PY - 2020/11/24
Y1 - 2020/11/24
N2 - Here we explore the e fficiency and fidelity of a purely astrometric selection of quasars as point sources with zero proper motions in the Gaia data release 2 (DR2). We have built a complete candidate sample including 104 Gaia-DR2 point sources, which are brighter than 20th magnitude in the Gaia G-band within one degree of the north Galactic pole (NGP); all of them have proper motions that are consistent with zero within 2 sigma uncertainty. In addition to pre-existing spectra, we have secured long-slit spectroscopy of all the remaining candidates and find that all 104 stationary point sources in the field can be classified as either quasars (63) or stars (41). One of the new quasars that we discover is particularly interesting as the line-of-sight to it passes through the disc of a foreground (z = 0:022) galaxy, which imprints both Na d absorption and dust extinction on the quasar spectrum. The selection e fficiency of the zero-proper-motion criterion at high Galactic latitudes is thus similar to 60%. Based on this complete quasar sample, we examine the basic properties of the underlying quasar population within the imposed limiting magnitude. We find that the surface density of quasars is 20 deg 2 (at G <20 mag), the redshift distribution peaks at z similar to 1:5, and only eight systems (13+5 3 %) show significant dust reddening. We then explore the selection e fficiency of commonly used optical, near-, and mid-infrared quasar identification techniques and find that they are all complete at the 85 90% level compared to the astrometric selection. Finally, we discuss how the astrometric selection can be improved to an efficiency of similar to 70% by including an additional cut requiring parallaxes of the candidates to be consistent with zero within 2 sigma. The selection e fficiency will further increase with the release of future, more sensitive astrometric measurements from the Gaia mission. This type of selection, which is purely based on the astrometry of the quasar candidates, is unbiased in terms of colours and intrinsic emission mechanisms of the quasars and thus provides the most complete census of the quasar population within the limiting magnitude of Gaia.
AB - Here we explore the e fficiency and fidelity of a purely astrometric selection of quasars as point sources with zero proper motions in the Gaia data release 2 (DR2). We have built a complete candidate sample including 104 Gaia-DR2 point sources, which are brighter than 20th magnitude in the Gaia G-band within one degree of the north Galactic pole (NGP); all of them have proper motions that are consistent with zero within 2 sigma uncertainty. In addition to pre-existing spectra, we have secured long-slit spectroscopy of all the remaining candidates and find that all 104 stationary point sources in the field can be classified as either quasars (63) or stars (41). One of the new quasars that we discover is particularly interesting as the line-of-sight to it passes through the disc of a foreground (z = 0:022) galaxy, which imprints both Na d absorption and dust extinction on the quasar spectrum. The selection e fficiency of the zero-proper-motion criterion at high Galactic latitudes is thus similar to 60%. Based on this complete quasar sample, we examine the basic properties of the underlying quasar population within the imposed limiting magnitude. We find that the surface density of quasars is 20 deg 2 (at G <20 mag), the redshift distribution peaks at z similar to 1:5, and only eight systems (13+5 3 %) show significant dust reddening. We then explore the selection e fficiency of commonly used optical, near-, and mid-infrared quasar identification techniques and find that they are all complete at the 85 90% level compared to the astrometric selection. Finally, we discuss how the astrometric selection can be improved to an efficiency of similar to 70% by including an additional cut requiring parallaxes of the candidates to be consistent with zero within 2 sigma. The selection e fficiency will further increase with the release of future, more sensitive astrometric measurements from the Gaia mission. This type of selection, which is purely based on the astrometry of the quasar candidates, is unbiased in terms of colours and intrinsic emission mechanisms of the quasars and thus provides the most complete census of the quasar population within the limiting magnitude of Gaia.
KW - astrometry
KW - quasars: general
KW - DIGITAL SKY SURVEY
KW - GRAVITATIONALLY LENSED QUASARS
KW - TARGET SELECTION
KW - HIGH REDSHIFTS
KW - STAR-FORMATION
KW - ABUNDANCES
KW - DUST
KW - AGN
KW - POPULATION
KW - ENRICHMENT
U2 - 10.1051/0004-6361/202039262
DO - 10.1051/0004-6361/202039262
M3 - Journal article
VL - 644
JO - Astronomy & Astrophysics
JF - Astronomy & Astrophysics
SN - 0004-6361
M1 - A17
ER -
ID: 253357561