Speaker
Liane Backfried
(Universität Bern)
Description
In this talk, I present our results for the machine learning of a renormalization-group improved action for the O(3) non-linear sigma-model in d=2. After introducing the theoretical setup, I will discuss the convolutional neural networks used in this study. Using these networks, we trained a neural network to parameterize a fixed-point action, a classically perfect action. Its properties are tested and it is compared to previously found parametrizations. Finally, I will conclude with an outlook on the conceptual steps needed for constructing a quantum perfect action for this theory.
Author
Liane Backfried
(Universität Bern)