Dr. Emil Løvbak

(Karlsruhe Institute of Technology (KIT))
hosted by Seminar Series on Scientific Computing

"Monte Carlo Adjoints with Reversible Random Number Generators"

Kinetic equations, modeling particles in a position-velocity phase space, have many high-impact application areas, including nuclear fusion research and radiation therapy. In these applications, particle-based Monte Carlo methods are often used to simulate the kinetic models. These methods solve the PDE by tracing sample particle trajectories through physical space in such a way that their ensemble distribution in phase space corresponds to the solution of the PDE. One then uses these trajectories as samples to compute quantities such as the particles’ mass density, momentum, and energy as a function of space and time. These methods have the advantage of not constructing grids in the high-dimensional phase space; however, they produce results subject to a stochastic sampling error.

Time:	Tuesday, 08.07.2025, 14:30
Place:	Hybrid (Room 32-349 and via Zoom)
Video:	https://uni-kl-de.zoom-x.de/j/69269239534?pwd=Z9UOzMpkhMjrxVhll3d49sNHFe9Fd1.1

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