Michael Zingale is interested in understanding astrophysical thermonuclear explosions, in particular, Type Ia supernovae, Type I X-ray bursts, and Classical novae through multi-dimensional hydrodynamic simulations. The physical processes governing these explosions involve a wide range of length and timescales, making these events extremely challenging to simulate. Working with colleagues at LBL, Zingale is developing low Mach number hydrodynamics algorithms appropriate to the conditions in these explosions. These methods filter soundwaves from the system, allowing for the efficient simulation of long timescale processes, such as astrophysical convection. The wide range of lengthscales are captured using adaptive mesh refinement, to place the resolution elements where the flow is most complex.




For more information on my research visit my homepage