On multi-propagator angular integrals
Juliane Haug, Vladimir A. Smirnov, Fabian Wunder
TL;DR
The paper develops a loop-inspired toolkit for multi-propagator angular integrals, introducing a Lee-Pomeransky–like Euler representation, recursion-based IBP reductions, and a dimensional-shift/recurrence framework that collapses large-scale master sets to a small number of branch integrals. It yields explicit new results for the four-denominator case with arbitrary masses and an all-order $\\varepsilon$-expansion for the massless three-denominator integral, including soft-log resummation. The methods expose a decomposition into branch integrals that suppresses the original high scale count from $n(n-1)/2+m$ down to $n+1$, enabling systematic, all-order analyses via differential equations and polylogarithmic structures. The work strengthens the bridge between loop-integral techniques and phase-space integrals, with potential for practical use in high-multiplicity QCD calculations and related phenomenology.
Abstract
We study multi-propagator angular integrals, a class of phase-space integrals relevant to processes with multiple observed final states and a test-bed for transferring loop-integral technology to phase space integrals without reversed unitarity. We present an Euler integral representation similar to Lee-Pomeransky representation and explicitly describe a recursive IBP reduction and dimensional shift relations for the general case of $n$ denominators. On the level of master integrals, applying a differential equation approach, we explicitly calculate the previously unknown angular integrals with four denominators for any number of masses to finite order in $\varepsilon$. Extending the idea of dimensional recurrence, we explore the decomposition of angular integrals into branch integrals reducing the number of scales in the master integrals from $(n+1)n/2$ to $n+1$. To showcase the potential of this method, we calculate the massless three denominator integral to establish all-order results in $\varepsilon$ including a resummation of soft logarithms.
