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    Towards 21st century stellar models: Star clusters, supercomputing and asteroseismology

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    Name:
    1512.04774v1.pdf
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    Description:
    Final Accepted Manuscript
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    Author
    Campbell, S. W.
    Constantino, T. N.
    D'Orazi, V.
    Meakin, C.
    Stello, D.
    Christensen-Dalsgaard, J.
    Kuehn, C.
    De Silva, G. M.
    Arnett, W. D.
    Lattanzio, J. C.
    MacLean, B. T.
    Show allShow less
    Affiliation
    Univ Arizona, Steward Observ
    Issue Date
    2016-10
    Keywords
    asteroseismology
    hydrodynamics
    stars: abundances
    stars: evolution
    stars: horizontal-branch
    stars: interiors
    
    Metadata
    Show full item record
    Publisher
    WILEY-V C H VERLAG GMBH
    Citation
    Towards 21st century stellar models: Star clusters, supercomputing and asteroseismology 2016, 337 (8-9):788 Astronomische Nachrichten
    Journal
    Astronomische Nachrichten
    Rights
    © 2016 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.
    Collection Information
    This item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.
    Abstract
    Stellar models provide a vital basis for many aspects of astronomy and astrophysics. Recent advances in observational astronomy - through asteroseismology, precision photometry, high-resolution spectroscopy, and large-scale surveys - are placing stellar models under greater quantitative scrutiny than ever. The model limitations are being exposed and the next generation of stellar models is needed as soon as possible. The current uncertainties in the models propagate to the later phases of stellar evolution, hindering our understanding of stellar populations and chemical evolution. Here we give a brief overview of the evolution, importance, and substantial uncertainties of core helium burning stars in particular and then briefly discuss a range of methods, both theoretical and observational, that we are using to advance the modelling. (C) 2016 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim
    Note
    Version of record online: 30 September 2016; 12 Month Embargo.
    ISSN
    00046337
    DOI
    10.1002/asna.201612373
    Version
    Final accepted manuscript
    Additional Links
    http://doi.wiley.com/10.1002/asna.201612373
    https://arxiv.org/abs/1512.04774
    ae974a485f413a2113503eed53cd6c53
    10.1002/asna.201612373
    Scopus Count
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