• Prof. Peter Diener uses high performance computing techniques to aid the development of analytical calculations for the radiation reaction problem in general relativity. He also studies numerically the binary black hole problem in general relativity. With Dr. Frank Löffler and others he developed the Einstein toolkit, a community computational infrastructure for relativistic astrophysics. In collaboration with Profs. Parampreet Singh (Physics and Astronomy) and Jorge Pullin he applies advanced computational techniques to the evolution of the quantum Einstein equations in the context of loop quantum cosmology.


  • Collaborating with researchers from the University of Western Australia (UWA) and Tsinghua University, Dr. Jian Tao is working on low-latency real-time detection of gravitational waves from binary neutron coalescences with general purpose graphic processing unit (GPGPU). We adopted the Summed Parallel Infinite Impulse Response (SPIIR) filters to analyze gravitational wave data in the time domain and implemented the filters on GPGPUs to leverage the computing power of the massively parallelized processing units to achieve low-latency real time analysis. When the signal is strong enough, this work can also help to trigger co-observations of the interested source with telescopes to gather electromagnetic information about the nature of the sources. While we continue optimizing the GPGPU code, we are working with LSU HPC group to deploy the code on the GPU clusters at LSU. The background of this work can be found here and here.


  • Dr. Frank Löffler is involved in the development of the the Cactus computational toolkit. This problem solving environment is used on supercomputers around the world and is applied to problems from relativistic astrophysics mainly within the Einstein Toolkit to problems in coastal modeling within the CaFunwave project. It is also used for computer science research, e.g., as basis for the Mojave Eclipse plugin. Using tools like Cactus, groups within the C2C focus area use supercomputers to attack problems like helping to understand gamma ray bursts (one of the strongest energy sources in the universe), the collision of compact, astrophysical objects like black holes or neutron stars, instabilities in single stars, but also the reconstruction of drilling accidents or the simulation of hurricanes within the Gulf of Mexico.


  • Prof. Joel Tohline's research has stemmed from a central theme of trying to understand the hydrodynamical evolution of self-gravitating, astrophysical systems, particularly when the geometry of such flows demand a fully three-dimensional representation. I have studied in detail problems that relate to star formation, gas-dynamical flows in galaxies, and compact stellar objects (such as white dwarfs and neutron stars). Full details can be seen in his web site.