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Accelerating our understanding of supernova explosion mechanism via simulations and visualizations with GenASiS

Published: 26 July 2015 Publication History

Abstract

Core-collapse supernovae are among the most powerful explosions in the Universe, releasing about 1053 erg of energy on timescales of a few tens of seconds. These explosion events are also responsible for the production and dissemination of most of the heavy elements, making life as we know it possible. Yet exactly how they work is still unresolved. One reason for this is the sheer complexity and cost of a self-consistent, multi-physics, and multi-dimensional core-collapse supernova simulation, which is impractical, and often impossible, even on the largest supercomputers we have available today. To advance our understanding we instead must often use simplified models, teasing out the most important ingredients for successful explosions, while helping us to interpret results from higher fidelity multi-physics models. In this paper we investigate the role of instabilities in the core-collapse supernova environment. We present here simulation and visualization results produced by our code GenASiS.

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      cover image ACM Other conferences
      XSEDE '15: Proceedings of the 2015 XSEDE Conference: Scientific Advancements Enabled by Enhanced Cyberinfrastructure
      July 2015
      296 pages
      ISBN:9781450337205
      DOI:10.1145/2792745
      Publication rights licensed to ACM. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of the United States government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.

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      • San Diego Super Computing Ctr: San Diego Super Computing Ctr
      • HPCWire: HPCWire
      • Omnibond: Omnibond Systems, LLC
      • SGI
      • Internet2
      • Indiana University: Indiana University
      • CASC: The Coalition for Academic Scientific Computation
      • NICS: National Institute for Computational Sciences
      • Intel: Intel
      • DDN: DataDirect Networks, Inc
      • DELL
      • CORSA: CORSA Technology
      • ALLINEA: Allinea Software
      • Cray
      • RENCI: Renaissance Computing Institute

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      New York, NY, United States

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      Published: 26 July 2015

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      Sponsor:
      • San Diego Super Computing Ctr
      • HPCWire
      • Omnibond
      • Indiana University
      • CASC
      • NICS
      • Intel
      • DDN
      • CORSA
      • ALLINEA
      • RENCI

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      XSEDE '15 Paper Acceptance Rate 49 of 70 submissions, 70%;
      Overall Acceptance Rate 129 of 190 submissions, 68%

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