4.7 Article

Evolution of galaxy size-stellar mass relation from the Kilo-Degree Survey

期刊

出版社

OXFORD UNIV PRESS
DOI: 10.1093/mnras/sty1917

关键词

galaxies: evolution

资金

  1. European Union Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant [721463]
  2. NWO-VICI grant [639.043.308]
  3. ESO Telescopes at the La Silla Paranal Observatory [177.A-3016, 177.A-3017, 177.A-3018]
  4. NOVA grant
  5. NWO-M grant
  6. Department of Physics and Astronomy of the University of Padova
  7. Department of Physics of University Federico II (Naples)

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We have obtained structural parameters of about 340 000 galaxies from the Kilo-Degree Survey (KiDS) in 153 deg(2) of data release 1, 2, and 3. We have performed a seeing convolved 2D single Sersic fit to the galaxy images in the four photometric bands (u, g, r, i) observed by KiDS, by selecting high signal-to-noise ratio (S/N > 50) systems in every bands. We have classified galaxies as spheroids and disc-dominated by combining their spectral energy distribution properties and their Sersic index. Using photometric redshifts derived from a machine learning technique, we have determined the evolution of the effective radius, R-e and stellar mass, M-star, versus redshift, for both mass complete samples of spheroids and disc-dominated galaxies up to z similar to 0.6. Our results show a significant evolution of the structural quantities at intermediate redshift for the massive spheroids (logM(*)/M-circle dot > 11, Chabrier IMF), while almost no evolution has found for less massive ones (logM(*)/M-circle dot < 11). On the other hand, disc dominated systems show a milder evolution in the less massive systems (logM(*)/M-circle dot < 11) and possibly no evolution of the more massive systems. These trends are generally consistent with predictions from hydrodynamical simulations and independent datasets out to redshift z similar to 0.6, although in some cases the scatter of the data is large to drive final conclusions. These results, based on 1/10 of the expected KiDS area, reinforce precedent finding based on smaller statistical samples and show the route towards more accurate results, expected with the the next survey releases.

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