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arXiv · 2610.17177

MadNIS, Ready for Production at LO

Theo Heimel·Olivier Mattelaer·Daniele Massaro·Ramon Winterhalder
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Abstract

We extend neural multi-channel importance sampling in MadNIS to full proton-proton processes in a production-ready event-generation setup. We benchmark a wide range of LHC processes, including multi-jet, vector-boson, top-quark, and Higgs production, and obtain event-generation speed-ups of up to a factor of 250 without process-specific hyperparameter tuning. We quantify how the speed-up scales with training time and final-state multiplicity, and when the training cost amortizes. MadNIS will become the default for phase-space integration and event generation at leading order in MadGraph.

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Theo Heimel, Olivier Mattelaer, Daniele Massaro, Ramon Winterhalder. 2026-10-12. MadNIS, Ready for Production at LO. https://arxiv.org/abs/2610.17177

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