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arXiv · 2509.05409

Unbinning global LHC analyses

Henning Bahl·Tilman Plehn·Nikita Schmal
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Abstract

Neural simulation-based inference has been shown to outperform traditional, histogram-based inference in numerous phenomenological and experimental studies at the LHC. So far, these analyses have focused on individual processes. We study the combination of four different di-boson processes in terms of the Standard Model Effective Field Theory. Our results demonstrate how neural simulation-based inference also wins over traditional methods for more global LHC analyses.

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Henning Bahl, Tilman Plehn, Nikita Schmal. 2025-09-05. Unbinning global LHC analyses. https://arxiv.org/abs/2509.05409

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