Stan Woosley

Type Ia Supernovae

(jni)
Sep 2014 - Sep 2015

2016

A. M. Jacobs, M. Zingale, A. Nonaka, A. S. Almgren, and J. B. Bell (2016): Low Mach Number Modeling of Convection in Helium Shells on Sub-Chandrasekhar White Dwarfs II: Bulk Properties of Simple Models, Astrophysical Journal, The American Astronomical Society, Vol 827, Num 1, pp84
Max P. Katz, Michael Zingale, Alan C. Calder, F. Douglas Swesty, Ann S. Almgren, and Weiqun Zhang (2016): White Dwarf Mergers on Adaptive Meshes I. Methodology and Code Verification, Astrophysical Journal, American Astronomical Society, Vol 819, Num 2, pp94

2015

M. Zingale, C. M. Malone, A. Nonaka, A. S. Almgren, and J. B. Bell (2015): Comparisons of Two- and Three-Dimensional Convection in Type I X-Ray Bursts, Astrophysical Journal, The American Astronomical Society, Vol 807, Num 1, pp60

2014

C. M. Malone, A. Nonaka, S. E. Woosley, A. S. Almgren, J. B. Bell, S. Dong, and M. Zingale (2014): The Deflagration Stage of Chandrasekhar Mass Models for Type Ia Supernovae. I. Early Evolution, Astrophysical Journal, The American Astronomical Society, Vol 782, Num 1, pp11

2012

R. Sisneros, C. Malone, A. Nonaka, and S. Woosley (2012): Investigation of Turbulence in the Early Stages of a High Resolution Supernova Simulation, Institute of Electrical & Electronics Engineers, 2012 SC Companion: High Performance Computing, Networking Storage and Analysis (SC '12), Num 1557-1558, Salt Lake City, Utah, U.S.A.

2015

Stan Woosley (2015): Modeling Type IA Supernova Progenitors, 2015 Blue Waters Annual Report, pp118-119

Maximilian Katz: White Dwarf Mergers as Supernova Progenitors


Blue Waters Symposium 2015, May 13, 2015

Chris Malone: Type Ia Supernovae


Blue Waters Symposium 2014, May 15, 2014

Stellar explosions


Mar 20, 2014

The supernovae that Chris Malone studies, Type Ia, are “basically thermonuclear explosions of really compact stars,” the UC Santa Cruz postdoctoral researcher explains. Malone and the other members of the astrophysics research team led by UC Santa Cruz professor Stan Woosley use computational methods to follow the evolution of these massive explosions, and with the extreme scale of the Blue Waters supercomputer the team was able to complete a 3D simulation of a turbulent flame in a supernova at unprecedented resolution—135 m/zone, about eight times greater than typical simulations. These results were published in The Astrophysical Journal in February 2014.


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Making history


Sep 24, 2012

A brief but tantalizing test run of the Blue Waters sustained petascale supercomputer earlier this year has left researchers eagerly awaiting full deployment. The Blue Waters Early Science System (BW-ESS) was only about 15 percent of the full machine as it consisted of 48 cabinets with 4,512 XE6 compute nodes and 96 service nodes and a Sonexion Lustre Storage Appliance provided two petabytes of disk storage. But that was enough to allow researchers to test the technology used in Blue Waters and identify and fix software bugs and other issues that prevented some codes from successfully scaling.


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Tantalizing glimpses


Aug 27, 2012

Visualization has been an integral part of NCSA since its beginning. That tradition continues with the Blue Waters project. While the early visualization work is mostly concerned with testing software functionality and performance, says Dave Semeraro, Blue Waters visualization team leader, it is providing tantalizing glimpses of the science. As Petascale Computing Resource Allocations (PRAC) teams exercise the Blue Waters Early Science System (BW-ESS), NCSA staff members are performing application tests to ascertain system and application performance. These tests, done in collaboration with BW-ESS users, have produced datasets that are, in turn, being used by the Blue Waters visualization staff to test scalable visualization tools.


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Blue Waters visualization team provides first science images


Apr 3, 2012

With the first portion of the Blue Waters petascale supercomputer now being used by six science teams, the Blue Waters visualization team is using scalable visualization software to produce some of the first science images from the Blue Waters project. NCSA staff members are performing application tests to ascertain Blue Waters' system and application performance. These tests, done in collaboration with the early science users, have produced datasets that are in turn being used by the Blue Waters visualization staff to test scalable visualization tools. Such tools enable science teams to explore the very large volumes of data they will produce on the full Blue Waters system. While the early visualization work is mostly concerned with software functionality, it is providing tantalizing glimpses of the early science.


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6 science teams begin using Blue Waters Early Science System


Mar 20, 2012

Six research teams have begun using the first phase of the Blue Waters sustained-petascale supercomputer to study some of the most challenging problems in science and engineering, from supernovae to climate change to the molecular mechanism of HIV infection. The Blue Waters Early Science System, which is made up of 48 Cray XE6 cabinets, represents about 15 percent of the total Blue Waters computational system and is currently the most powerful computing resource available through the National Science Foundation.


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