On hyperlogarithms and Feynman integrals with divergences and many scales
Erik Panzer
TL;DR
The paper extends hyperlogarithm-based parametric integration to divergent and multi-scale Feynman graphs by combining linear reducibility with dimensional regularization. It develops analytic regularization techniques to obtain convergent representations, allowing arbitrary orders in the epsilon expansion while preserving a polylogarithmic structure. A wide range of non-trivial multi-scale examples are computed or characterized as linearly reducible, including conformal, massless, and massive-topology cases, with explicit polylogarithmic results and numerical cross-checks. The work highlights practical benefits for evaluating Feynman integrals without relying on IBP reduction and outlines future directions for combinatorial criteria and alternative parametrizations to extend reducibility further.
Abstract
It was observed that hyperlogarithms provide a tool to carry out Feynman integrals. So far, this method has been applied successfully to finite single-scale processes. However, it can be employed in more general situations. We give examples of integrations of three- and four-point integrals in Schwinger parameters with non-trivial kinematic dependence, involving setups with off-shell external momenta and differently massive internal propagators. The full set of Feynman graphs admissible to parametric integration is not yet understood and we discuss some counterexamples to the crucial property of linear reducibility. Furthermore we clarify how divergent integrals can be approached in dimensional regularization with this algorithm.
