IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-642-13872-0_28.html
   My bibliography  Save this book chapter

3D Simulations of Large-Scale Mixing in Core Collapse Supernova Explosions

In: High Performance Computing in Science and Engineering, Garching/Munich 2009

Author

Listed:
  • N. Hammer

    (Max-Planck Institut für Astrophysik)

  • H.-Th. Janka

    (Max-Planck Institut für Astrophysik)

  • E. Müller

    (Max-Planck Institut für Astrophysik)

Abstract

We present the first 3D simulations of the large-scale mixing that takes place in the shock-heated stellar layers ejected in the explosion of a blue supergiant star. The blast is initiated and powered by neutrino-energy deposition behind the stalled shock by means of choosing sufficiently high neutrino luminosities from the contracting, nascent neutron star, whose high-density core is excised and replaced by a retreating inner grid boundary. The outgoing supernova shock is followed beyond its breakout from the stellar surface about two hours after the core collapse. Violent convective overturn in the post-shock layer causes the explosion to start with significant large-scale asphericity, which acts as a trigger of the growth of Rayleigh-Taylor instabilities at the composition interfaces of the exploding star. Deep inward mixing of hydrogen is found as well as fast-moving, metal-rich clumps penetrating with high velocities far into the hydrogen envelope of the star. Comparing with corresponding 2D (axially symmetric) calculations, we determine the growth of the Rayleigh-Taylor fingers to be faster, the deceleration of the dense metal-carrying clumps in the helium and hydrogen layers to be reduced, the asymptotic clump velocities in the hydrogen shell to be higher, and the outward radial mixing of heavy elements and inward mixing of hydrogen to be more efficient in 3D than in 2D.

Suggested Citation

  • N. Hammer & H.-Th. Janka & E. Müller, 2010. "3D Simulations of Large-Scale Mixing in Core Collapse Supernova Explosions," Springer Books, in: Siegfried Wagner & Matthias Steinmetz & Arndt Bode & Markus Michael Müller (ed.), High Performance Computing in Science and Engineering, Garching/Munich 2009, pages 335-346, Springer.
  • Handle: RePEc:spr:sprchp:978-3-642-13872-0_28
    DOI: 10.1007/978-3-642-13872-0_28
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:sprchp:978-3-642-13872-0_28. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.