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Massive Computation for Understanding Core-Collapse Supernova Explosions

Ott, Christian D. (2016) Massive Computation for Understanding Core-Collapse Supernova Explosions. Computing in Science & Engineering, 18 (5). pp. 78-92. ISSN 1521-9615. http://resolver.caltech.edu/CaltechAUTHORS:20160830-065811875

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Abstract

How do massive stars explode? Progress toward the answer is driven by increases in compute power. Petascale supercomputers are enabling detailed 3D simulations of core-collapse supernovae that are elucidating the role of fluid instabilities, turbulence, and magnetic field amplification in supernova engines.


Item Type:Article
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.1109/MCSE.2016.81 DOIArticle
http://ieeexplore.ieee.org/document/7548980/?arnumber=7548980PublisherArticle
ORCID:
AuthorORCID
Ott, Christian D.0000-0003-4993-2055
Additional Information:© 2016 IEEE. Copublished by the IEEE CS and the AIP. I acknowledge helpful conversations with and help from Adam Burrows, Sean Couch, Steve Drasco, Roland Haas, Kenta Kiuchi, Philipp Mösta, David Radice, Luke Roberts, Erik Schnetter, Ed Seidel, and Masaru Shibata. I thank the Yukawa Institute for Theoretical Physics at Kyoto University for hospitality while writing this article. This work is supported by the US National Science Foundation (NSF) under award numbers CAREER PHY-1151197 and TCAN AST-1333520, and by the Sherman Fairchild Foundation. Computations were performed on NSF XSEDE under allocation TGPHY100033 and on NSF/NCSA Blue Waters under NSF PRAC award number ACI-1440083. Movies of simulation results can be found on www.youtube.com/SXSCollaboration.
Group:TAPIR
Funders:
Funding AgencyGrant Number
NSFPHY-1151197
NSFAST-1333520
Sherman Fairchild FoundationUNSPECIFIED
NSFTG-PHY100033
NSFACI-1440083
Record Number:CaltechAUTHORS:20160830-065811875
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20160830-065811875
Official Citation:C. D. Ott, "Massive Computation for Understanding Core-Collapse Supernova Explosions," in Computing in Science & Engineering, vol. 18, no. 5, pp. 78-92, Sept.-Oct. 2016. doi: 10.1109/MCSE.2016.81 URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7548980&isnumber=7548973
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:70007
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:30 Aug 2016 23:34
Last Modified:12 Dec 2016 18:14

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