University of Hertfordshire

From the same journal

From the same journal

By the same authors

The star formation history of mass-selected galaxies from the VIDEO survey

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  • 906882

    Accepted author manuscript, 1.37 MB, PDF document

  • Jonathan T. L. Zwart
  • M.J. Jarvis
  • Roger P. Deane
  • D. Bonfield
  • Kenda Knowles
  • Nikhita Madhanpall
  • Hadi Rahmani
  • Daniel Smith
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Original languageEnglish
Pages (from-to)1459-1471
Number of pages13
JournalMonthly Notices of the Royal Astronomical Society
Volume439
Issue2
Early online date7 Feb 2014
DOIs
Publication statusPublished - 1 Apr 2014

Abstract

We measure star formation rates (SFRs) and specific SFRs (SSFRs) of Ks-selected galaxies from the VISTA Deep Extragalactic Observations survey by stacking 1.4 GHz Very Large Array data.We split the sample, which spans 0 < z<3 and stellar masses 108.0 < M*/M < 1011.5, into elliptical, irregular or starburst galaxies based on their spectral energy distributions. We find that SSFR falls with stellar mass, in agreement with the 'downsizing' paradigm. We consider the dependence of the SSFR-mass slope on redshift: for our full and elliptical samples the slope flattens, but for the irregular and starburst samples the slope is independent of redshift. The rate of SSFR evolution reduces slightly with stellar mass for ellipticals, but irregulars and starbursts co-evolve across stellar masses. Our results for SSFR as a function of stellar mass and redshift are in agreement with those derived from other radio-stacking measurements of mass-selected passive and star-forming galaxies, but inconsistent with those generated from semi-analytic models, which tend to underestimate SFRs and SSFRs. There is a need for deeper high-resolution radio surveys such as those from telescopes like the next-generation MeerKAT in order to probe lower masses at earlier times and to permit direct detections, i.e. to study individual galaxies in detail.

Notes

© 2014 The Authors Published by Oxford University Press on behalf of the Royal Astronomical Society

ID: 7399342