Bibcode
Tortora, C.; Napolitano, N. R.; Spavone, M.; La Barbera, F.; D'Ago, G.; Spiniello, C.; Kuijken, K. H.; Roy, N.; Raj, M. A.; Cavuoti, S.; Brescia, M.; Longo, G.; Pota, V.; Petrillo, C. E.; Radovich, M.; Getman, F.; Koopmans, L. V. E.; Trujillo, I.; Verdoes Kleijn, G.; Capaccioli, M.; Grado, A.; Covone, G.; Scognamiglio, D.; Blake, C.; Glazebrook, K.; Joudaki, S.; Lidman, C.; Wolf, C.
Referencia bibliográfica
Monthly Notices of the Royal Astronomical Society, Volume 481, Issue 4, p.4728-4752
Fecha de publicación:
12
2018
Número de citas
25
Número de citas referidas
24
Descripción
We present results from an ongoing investigation using the Kilo Degree
Survey (KiDS) on the VLT Survey Telescope (VST) to provide a census of
ultra-compact massive galaxies (UCMGs), defined as galaxies with stellar
masses {M_{\star }}> 8 × 10^{10} { M_⊙} and effective radii
{R_e}< 1.5 kpc. UCMGs, which are expected to have undergone very few
merger events, provide a unique view on the accretion history of the
most massive galaxies in the Universe. Over an effective sky area of
nearly 330 deg2, we select UCMG candidates from KiDS
multicolour images, which provide high quality structural parameters,
photometric redshifts, and stellar masses. Our sample of ˜1000
photometrically selected UCMGs at z < 0.5 represents the largest
sample of UCMG candidates assembled to date over the largest sky area.
In this paper, we present the first effort to obtain their redshifts
using different facilities, starting with first results for 28
candidates with redshifts z < 0.5, obtained at NTT and TNG
telescopes. We confirmed, as bona fide UCMGs, 19 out of the 28
candidates with new redshifts. A further 46 UCMG candidates are
confirmed with literature spectroscopic redshifts (35 at z < 0.5),
bringing the final cumulative sample of spectroscopically confirmed
lower-z UCMGs to 54 galaxies, which is the largest sample at redshifts
below 0.5. We use these spectroscopic redshifts to quantify systematic
errors in our photometric selection, and use these to correct our UCMG
number counts. We finally compare the results to independent data sets
and simulations.
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