L. Unnerfelt

TL;DR: This work constructs a multilayer neural network for the Dreicer runaway generation rate which is trained on data obtained from kinetic simulations performed for a wide range of plasma parameters and impurities and shows that the improved generation rates lead to significant differences in the self-consistent runaway dynamics.

TL;DR: In this article, a multilayer neural network for the Dreicer runaway generation rate is proposed, which is trained on data obtained from kinetic simulations performed for a wide range of plasma parameters and impurities.

TL;DR: In this article, the evolution of the runaway distribution is well described by an initial hot-tail seed population, which is accelerated to energies between 25-50 MeV during the current quench, together with an avalanche runaway tail which has an exponentially decreasing energy spectrum.

TL;DR: In this article, the evolution of the runaway distribution is well described by an initial hot-tail seed population, which is accelerated to energies between 25-50 MeV during the current quench, together with an avalanche runaway tail which has an exponentially decreasing energy spectrum.

TL;DR: In this article, a 1:4 argon-deuterium mixture has been used to prevent electron beam formation in the commonly used disruption and runaway electron (RE) mitigation scenario on ASDEX upgrade.