AMFlow 2.0: significant algorithmic and software improvements for Feynman integral evaluation
Year: 2026
Type: preprint
Abstract: We present significant improvements to the AMFlow package for the numerical computation of dimensionally regularized Feynman integrals. Several new features are introduced to reduce computational cost, including an alternative recursion mode, a high-performance differential equation solver, support for state-of-the-art integration-by-parts reducers and other useful improvements. We benchmark the new version on a three-loop five-point topology and find that both the symbolic and numerical performance are significantly improved.
Source: arXiv (Cornell University)
Authors: Huang, Rui-Jun, Liu, Xiao, Ma, Yan-Qing
Language: English
Subfield: Nuclear and High Energy Physics
Field: Physics and Astronomy
Domain: Physical Sciences
Open Access status: green
Awards: G2061541405, G4027678930
OpenAlex ID: W7167941520
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