Forensic reconstruction of galaxy colour evolution and population characterization

Research output: Contribution to journalJournal articleResearchpeer-review

Documents

  • stac321

    Final published version, 2.85 MB, PDF document

  • Matias Bravo
  • Aaron S. G. Robotham
  • Claudia del P. Lagos
  • Luke J. M. Davies
  • Sabine Bellstedt
  • Jessica E. Thorne

Mapping the evolution of galaxy colours, from blue star forming to red passive systems, is fundamental to understand the processes involved in galaxy evolution. To this end, we reconstruct the colour evolution of low-redshift galaxies, combining stellar templates with star formation and metallicity histories of galaxies from the Galaxy And Mass Assembly survey and shark semi-analytical model. We use these colour histories to robustly characterize the evolution of red and blue galaxy populations over cosmic time. Using a Gaussian Mixture Model to characterize the colour distribution at any given epoch and stellar mass, we find both observations and simulations strongly favour a model with only two populations (blue and red), with no evidence for a third 'green' population. We map the evolution of mean, weight, and scatter of the blue and red populations as a function of both stellar mass and lookback time. Using our simulated galaxy catalogue as a testbed, we find that we can accurately recover galaxies colour histories up to a lookback time of similar to 6 Gyr. We find that both populations show little change in the mean colour for low-mass galaxies, while the colours at the massive end become significantly redder with time. The stellar mass above which the galaxy population is predominantly red decreases by 0.3 dex in the last 5 Gyrs. We find a good agreement between observations and simulations, with the largest tension being that massive galaxies from shark are too blue (a known issue with many galaxy evolution models).

Original languageEnglish
JournalMonthly Notices of the Royal Astronomical Society
Volume511
Issue number4
Pages (from-to)5405-5427
Number of pages23
ISSN0035-8711
DOIs
Publication statusPublished - 8 Mar 2022

    Research areas

  • techniques: photometric, galaxies: evolution, MASS ASSEMBLY GAMA, SPECTRAL-ENERGY-DISTRIBUTIONS, STAR-FORMATION HISTORIES, SUPERMASSIVE BLACK-HOLES, ACTIVE GALACTIC NUCLEI, QUENCHING TIME-SCALES, STELLAR MASS, LUMINOSITY FUNCTIONS, SEMIANALYTIC MODEL, MAGNITUDE RELATION

ID: 319599556