Nonlinear solvers for two-species neutrino-matter equations in core-collapse supernovae simulations

Paul Laiu

Abstract: Efficient numerical schemes are needed for high-fidelity simulations of neutrino transport in nuclear astrophysics applications, where the dominating computational cost is in modeling neutrino-matter interactions.
We compare various iterative solvers for nonlinear systems arising from neutrino-matter interactions due to emission and absorption, scattering, and pair processes, which couple the neutrino transport and the matter equations.

Paul Laiu is a staff researcher in the Computational and Applied Mathematics Group at Oak Ridge National Laboratory. He received his Ph.D. degree in Electrical and Computer Engineering from University of Maryland, College Park. His research interest includes numerical optimization, numerical analysis, and numerical schemes for various kinetic partial differential equations.

Last Updated: May 28, 2020 - 4:03 pm