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dc.contributor.authorShamshiri, Sorour
dc.contributor.authorThomas, Peter A.
dc.contributor.authorHenriques, Bruno M.
dc.contributor.authorTojeiro, Rita
dc.contributor.authorLemson, Gerard
dc.contributor.authorOliver, Seb J.
dc.contributor.authorWilkins, Stephen
dc.date.accessioned2015-07-01T14:10:02Z
dc.date.available2015-07-01T14:10:02Z
dc.date.issued2015-08-11
dc.identifier199462070
dc.identifier89ca78df-8742-4dbe-9353-01533f7effa3
dc.identifier84942133691
dc.identifier000360833700032
dc.identifier.citationShamshiri , S , Thomas , P A , Henriques , B M , Tojeiro , R , Lemson , G , Oliver , S J & Wilkins , S 2015 , ' Galaxy formation in the Planck cosmology - II. Star-formation histories and post-processing magnitude reconstruction ' , Monthly Notices of the Royal Astronomical Society , vol. 451 , no. 3 , pp. 2681-2691 . https://doi.org/10.1093/mnras/stv883en
dc.identifier.issn0035-8711
dc.identifier.otherBibCode: 2015MNRAS.451.2681S
dc.identifier.urihttps://hdl.handle.net/10023/6893
dc.descriptionRT acknowledges support from the Science and Technology Facilities Council via an Ernest Rutherford Fellowship (grant number ST/K004719/1).en
dc.description.abstractWe adapt the L-GALAXIES semi-analytic model to follow the star formation histories (SFHs) of galaxies - by which we mean a record of the formation time and metallicities of the stars that are present in each galaxy at a given time. We use these to construct stellar spectra in post-processing, which offers large efficiency savings and allowsuser-defined spectral bands and dust models to be applied to data stored in the Millennium data repository. We contrast model SFHs from the Millennium Simulation with observed ones from the VESPA algorithm as applied to the Sloan Digital Sky Survey 7 (SDSS-7) catalogue. The overall agreement is good, with both simulated and SDSS galaxies showing a steeper SFH with increased stellar mass. The SFHs of blue and red galaxies, however, show poor agreement between data and simulations,which may indicate that the termination of star formation is too abrupt in the models. The mean star formation rate (SFR) of model galaxies is well defined and is accurately modelled by a double power law at all redshifts: SFR ∝ 1/(x-1.39 + x1.33), where x= (ta - t)/3.0 Gyr, t is the age of the stars and ta is the lookback time to the onset of galaxy formation;above a redshift of unity, this is well approximated by a gamma function: SFR ∝ x1.5e-x, where x =(ta - t)/2.0 Gyr. Individual galaxies, however, show a wide dispersion about this mean. When split by mass, the SFR peaks earlier for high-mass galaxies than for lower mass ones, and we interpret this downsizing as a mass-dependence in the evolution of the quenched fraction: the SFHs of star-forming galaxies show only a weak mass-dependence.
dc.format.extent631389
dc.language.isoeng
dc.relation.ispartofMonthly Notices of the Royal Astronomical Societyen
dc.subjectMethods: numericalen
dc.subjectGalaxies: evolutionen
dc.subjectGalaxies: formationen
dc.subjectGalaxies: stellar contenten
dc.subjectQB Astronomyen
dc.subjectQC Physicsen
dc.subjectNDASen
dc.subject.lccQBen
dc.subject.lccQCen
dc.titleGalaxy formation in the Planck cosmology - II. Star-formation histories and post-processing magnitude reconstructionen
dc.typeJournal articleen
dc.contributor.sponsorScience & Technology Facilities Councilen
dc.contributor.institutionUniversity of St Andrews. School of Physics and Astronomyen
dc.identifier.doi10.1093/mnras/stv883
dc.description.statusPeer revieweden
dc.identifier.urlhttp://adsabs.harvard.edu/abs/2015MNRAS.451.2681Sen
dc.identifier.grantnumberST/K004719/1en


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