Speaker
Ryan Abbott
(MIT)
Description
Scale separation is an important physical principle that has previously enabled algorithmic advances such as multigrid. Previous work on normalizing flows has been able to utilize scale separation in the context of scalar field theories, but mostly not in the context of gauge theories. In this talk, I will give an overview of a new method for generating gauge fields using heirarchical normalizing flow models. This method builds gauge fields from the outside in, allowing different parts of the model to focus on different scales of the problem. In addition I will present numerical results for U(1) and SU(3) gauge theories in 2, 3, and 4 spatial dimensions.
| Topical area | Algorithms and Artificial Intelligence |
|---|
Primary authors
Daniel Hackett
(MIT)
Julian Urban
(MIT)
Phiala Shanahan
(Massachusetts Institute of Technology)
Ryan Abbott
(MIT)
Denis Boyda
(IAIFI (MIT))
Fernando Romero-Lopez
(MIT)