26–28 Jun 2023
SLAC National Accelerator Laboratory
US/Pacific timezone

Feynman integrals from positivity constraints

27 Jun 2023, 10:55
25m
Kavli Auditorium (SLAC National Accelerator Laboratory)

Kavli Auditorium

SLAC National Accelerator Laboratory

2575 Sand Hill Rd, Menlo Park, CA 94025, United States

Speaker

Mao Zeng (University of Edinburgh)

Description

We describe a new method for computing Feynman integrals based on solving inequality constraints. The starting point is the simple observation that a convergent Euclidean integral is non-negative if its integrand is non-negative. Combined with integration-by-parts reduction, this places powerful constraints on the values of master integrals, which can be solved efficiently using the numerical technique of semidefinite programming. We also find hidden consistency relations between terms at different orders in $\epsilon$ in dimensional regularization. We present examples with up to three loops.

Author

Mao Zeng (University of Edinburgh)

Presentation materials