Towards a Fully Automated Differential $\text{NNLO}_\text{EW}$ Generator for Lepton Colliders
Alan Price, Frank Krauss
TL;DR
This work introduces a fully automated YFS-based framework for matching $NLO_{EW}$ and $NNLO_{EW}$ corrections in lepton colliders, implemented in SHERPA, to achieve precision on par with future experiments. The approach uses local infrared subtraction from the Yennie-Frautschi-Suura theorem to order-by-order subtract IR divergences while resumming soft photon logs to all orders, enabling a process-independent treatment of higher-order electroweak corrections. The authors explicitly define IR-finite residuals for $NLO_{EW}$ and $NNLO_{EW}$ corrections, implement real-virtual, double-real, and partial double-virtual subtractions, and validate pole cancellations and numerical stability across multiple processes, including $oldsymbol{ m uar{ u}}$ production near the $Z$-pole and $oldsymbol{ m bc+bc}$ production with BESIII data. Their results show a substantial reduction in theoretical uncertainties at $NNLO_{EW}$ and demonstrate the method's applicability to a wide range of lepton-collider observables, with GRIFFIN interfacing to supply two-loop EW information. The work paves the way for robust, high-precision simulations at future lepton colliders and outlines the remaining steps to achieve complete automation as two-loop amplitude tools mature.
Abstract
Future proposed lepton collider experiments will reach unprecedented levels of accuracy. To ensure the success of these experiments, and to fully exploit their wealth of data, the precision of theory calculations must reach comparable or even better levels. One bottleneck in achieving this precision target lies in the systematic, process-independent inclusion of higher-order corrections at Next-to-Next-to-Leading Order in the electroweak coupling $\text{NNLO}_\text{EW}$ while ensuring the correct matching with modern all-orders resummation techniques. Here, we present a solution to this problem, based on the Yennie-Frautschi-Suura theorem, which employs a local infrared (IR) subtraction to remove divergences and its matching to an all-order resummation of the soft and soft-collinear logarithms.
