Modelling populations of rotationally mixed massive stars

I. Brott

    Research output: ThesisDoctoral thesis 1 (Research UU / Graduation UU)

    Abstract

    Massive stars can be considered as cosmic engines. With their high luminosities, strong stellar winds and violent deaths they drive the evolution of galaxies through-out the history of the universe. Despite the importance of massive stars, their evolution is still poorly understood. Two major issues have plagued evolutionary models of massive stars until today: mixing and mass loss On the main sequence, the effects of mass loss remain limited in the considered mass and metallicity range, this thesis concentrates on the role of mixing in massive stars. This thesis approaches this problem just on the cross road between observations and simulations. The main question: Do evolutionary models of single stars, accounting for the effects of rotation, reproduce the observed properties of real stars. In particular we are interested if the evolutionary models can reproduce the surface abundance changes during the main-sequence phase. To constrain our models we build a population synthesis model for the sample of the VLT-FLAMES Survey of Massive stars, for which star-formation history and rotational velocity distribution are well constrained. We consider the four main regions of the Hunter diagram. Nitrogen un-enriched slow rotators and nitrogen enriched fast rotators that are predicted by theory. Nitrogen enriched slow rotators and nitrogen unenriched fast rotators that are not predicted by our model. We conclude that currently these comparisons are not sufficient to verify the theory of rotational mixing. Physical processes in addition to rotational mixing appear necessary to explain the stars in the later two regions
    Original languageEnglish
    QualificationDoctor of Philosophy
    Awarding Institution
    • Utrecht University
    Supervisors/Advisors
    • de Koter, A., Primary supervisor, External person
    • Langer, N., Supervisor, External person
    Award date28 Feb 2011
    Publisher
    Print ISBNs978-90-3935501-5
    Publication statusPublished - 28 Feb 2011

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