A machine learning pipeline for autonomous numerical analytic continuation of Dyson-Schwinger equations

Andreas Windisch, Thomas Gallien, Christopher Schwarzlmueller

Dyson-Schwinger equations (DSEs) are a non-perturbative way to express n-point functions in quantum field theory. Working in Euclidean space and in Landau gauge, for example, one c…