SC²S Colloquium - July 13, 2017
|Date:||July 13, 2017|
|Time:||16:00 pm, s.t.|
Deborah Schmidhammer: Uncertainty propagation in linear gyrokinetic problems using sparse Leja quadrature
Uncertainty Quantification is a relatively new concept, which deals with uncertainties in scientific computing. Used together with the gyrokinetic plasma turbulence code GENE, microinstabilities of the linear gyrokitenic equations can be analyzed. The presented approach is based on the Polynomial Chaos Expansion, which uses a surrogate function for the original model. As a result, we can analyze stochastic properties, albeit they depend on the integral of the underlying physical model. This integral can be evaluated numerically via a finite-sum approximation, e.g. via sparse Leja quadrature. The Python package Chaospy is a practical tool to implement the Polynomial Chaos Expansion and will be presented.