MadNIS at NLO
High Energy Physics - Phenomenology
2026-04-09 v2
Abstract
We combine fast amplitude surrogates with neural importance sampling to accelerate NLO calculations. For virtual corrections, a learned ratio to the Born matrix element with calibrated uncertainties guarantees reliable precision across phase space. For real emission, we stick to the standard FKS subtraction and train sector-conditioned surrogates of the regularized integrands away from divergences. MadNIS then uses multi-channel mappings and FKS sectors as conditions. We validate our approach for electron-positron scattering to three and four jets and find significant speed-ups and variance reduction in the integration.
Cite
@article{arxiv.2603.22407,
title = {MadNIS at NLO},
author = {Giovanni De Crescenzo and Javier Mariño Villadamigo and Nina Elmer and Theo Heimel and Tilman Plehn and Ramon Winterhalder and Marco Zaro},
journal= {arXiv preprint arXiv:2603.22407},
year = {2026}
}