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9–13 May 2022
CERN
Europe/Zurich timezone

Targeting Multi-Loop Integrals with Neural Networks

12 May 2022, 11:15
25m
500/1-001 - Main Auditorium (CERN)

500/1-001 - Main Auditorium

CERN

400
Show room on map
Regular talk Workshop

Speaker

Ramon Winterhalder (UC Louvain)

Description

Numerical evaluations of Feynman integrals often proceed via a deformation of the integration contour into the complex plane. While valid contours are easy to construct, the numerical precision for a multi-loop integral can depend critically on the chosen contour. We present methods to optimize this contour using a combination of optimized, global complex shifts and a normalizing flow. They can lead to a significant gain in precision.

Primary authors

Ramon Winterhalder (UC Louvain) Vitalii Maheria Emilio Villa (Karlsruhe Institute of Technology) Stephen Philip Jones (University of Durham (GB)) Matthias Kerner (University of Zürich) Anja Butter Gudrun Heinrich (KIT) Tilman Plehn

Presentation materials