Michigan State University researchers are using Mira to perform large-scale 3D simulations of the final moments of a supernova’s life cycle. While the 3D simulation approach is still in its infancy, early results indicate that the models are providing a clearer picture than ever before of the mechanisms that drive supernova explosions. In the landmark television series “Cosmos,” astronomer Carl Sagan famously proclaimed, “We are made of star stuff.”
At the end of their life cycles, these massive stars explode in spectacular fashion, scattering their guts – which consist of carbon, iron and basically all other natural elements – across the cosmos. These elements go on to form new stars, solar systems and everything else in the universe – including the building blocks for life on Earth. Despite this fundamental role in cosmology, the mechanisms that drive supernova explosions are still not well understood.
To shed light on this complex phenomenon, Assistant Prof. Couch is leading an effort to use Mira, the Argonne Leadership Computing Facility’s (ALCF’s) 10-petaflops supercomputer, to carry out some of the largest and most detailed 3D simulations ever performed of core-collapse supernovas.
After millions of years of burning ever-heavier elements, these super-giant stars (at least 8 solar masses) eventually run out of nuclear fuel and develop an iron core. No longer able to support themselves against their own immense gravitational pull, they start to collapse. But a process, not yet fully understood, intervenes that reverses the collapse and causes the star to explode. “What theorists like me are trying to understand is that in-between step,” Couch said. “How do we go from this collapsing iron core to an explosion?”
While this 3D method is still in its infancy, Couch’s early results have been promising. In 2015, his team published a paper in the Astrophysical Journal Letters, detailing their 3D simulations of the final 3 minutes of iron core growth in a 15 solar-mass star. They found that more accurate representations of the star’s structure and the motion generated by turbulent convection (measured at several hundred kilometers per second) play a substantial role at the point of collapse.
Despite the fact that stars rotate, have magnetic fields and are not perfect spheres, most 1D and 2D supernova simulations to date have modeled non-rotating, non-magnetic, spherically symmetrical stars. Scientists were forced to take this simplified approach because modeling supernovas is an extremely computationally demanding task. Such simulations involve highly complex multiphysics calculations and extreme timescales: the stars evolve over millions of years, yet the supernova mechanism occurs in a second. The emergence of petascale supercomputers like Mira has made it possible to include high-fidelity treatments of rotation, magnetic fields and other complex physics processes that were not feasible in the past.
“Generally when we’ve done these kinds of simulations in the past, we’ve ignored the fact that magnetic fields exist in the universe because when you add them into a calculation, it increases the complexity by about a factor of two,” Couch said. “But with our simulations on Mira, we’re finding that magnetic fields can add a little extra kick at just the right time to help push the supernova toward explosion.”
On the software side, Couch continues to collaborate with ALCF computational scientists to improve the open-source FLASH code and its ability to simulate supernovas. But even with today’s high-performance computing hardware and software, it is not yet feasible to include high-fidelity treatments of all the relevant physics in a single simulation; that would require a future exascale system.
“Our simulations are only a first step toward truly realistic 3-D simulations of supernova,” he said. “But they are already providing a proof-of-principle that the final minutes of a massive star evolution can and should be simulated in 3-D.”
http://www.anl.gov/articles/3-d-simulations-illuminate-supernova-explosions
http://iopscience.iop.org/article/10.1088/2041-8205/808/1/L21/meta
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