Kavli Institute for Particle Astrophysics and Cosmology, Stanford University/SLAC, Stanford, USA
12 April 2017
Making Sense of the Universe with Supercomputers
In computational cosmology we face complex multi-scale and multi-physics problems. Algorithmic advances have enabled ever more realistic numerical models of a wide range of astrophysical objects. We describe and show results from adaptive mesh refinement simulations capturing 15 orders of magnitude in length scale, adaptive ray tracing for radiation hydro-dynamics, and a new noise-free approach to solve the collision-less Boltzmann equation.