DAGH Users

• DAGH provides the computational infrastructure for the binary black hole grand challenge, headed by Dr. Richard Matzner at UT Austin with collaborators at eight other institutions. The stated purpose of this project is to develop a problem solving environment for the Nonlinear Einstein equations describing General Relativity and to provide controllable, convergent algorithms to compute gravitational waveforms which arise from Black Hole encounters.
• DAGH is also the computational infrastructure for the neutron star grand challenge. The goal for this project is to use the important astrophysics problem of coalescing binary neutron stars to drive the development of a multipurpose, scalable, high-performance code, evolving both relativistic gravitational fields and hydrodynamics, for relativistic astrophysics and gravitational wave astronomy. Paul Saylor from UIUC and other collaborators from NCSA, UIUC, Washington University, and Max Planck Institute are involved in this project.
• DAGH has been integrated with IPARS (Integrated Parallel Accurate Reservoir Simulator) to provide a problem solving environment for parallel adaptive porous media and reservoir simulations. This tool is developed to model the behavior of fluids in permeable geologic formations such as petroleum and natural gas reservoirs and ground water aquifers. The group is headed by Dr. Mary Wheeler at the Center for Subsurface Modeling at UT Austin.
• HDDA/DAGH is also used to design a multi-resolution data- base for storing, accessing and operating on satellite information at different levels of detail. This is a joint project between Don Fussell and Harrick Vin from the Computer Sciences Department, and Melba Crawford from the Center for Space Research at UT Austin.
• Base HDDA objects have been extended with visualization, analysis and interaction capabilities by J.C. Browne and Manish Parashar at the Computer Sciences Department, UT Austin.
• DAGH is a part of a toolbox of computational components which allow engineers to design and analyze composite materials directly from the microstructural level. This will allow engineers to use the toolbox as a replacement for a sizable part of the laboratory experiments used in present design practice. This project is headed by Gregory Rodin of the Composite Material Group at UT Austin.
• Matt Choptuik and his students at UT Austin are investigating the existence of boson stars, a likely cold dark matter candidate. The physics of binary boson star coalescence and its implication for astrophysics are being studied. An indirect application of this project would be to use the boson star system as a simple model problem to study the dynamics of compact objects. DAGH will eventually be used to run the 3-dimensional numerical simulation code.
• Simulation of long range and high frequency wave propagation in realistic earth models is an area of active research in geophysics. Mrinal Sen from the Institute of Geophysics, Manish Parashar and Jim Browne from the Department of Computer Sciences at UT Austin plan to use DAGH to compute synthetic seismograms in laterally heterogeneous anisotropic earth models. Parallelism and automated grid refinements of DAGH are crucial to generating synthetic seismograms for realistic earth models. They will be used in iterative modeling of seismograms from earthquakes and man made explosions to infer the properties of the earth's deep interior.
• To study the Laser-Plasma interaction David Fisher, Scott Klasky, and Manish Parashar at UT Austin are using DAGH as a part of their computational toolkit.