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20222026
most citedUnbinned multivariate observables for global SMEFT analyses from machine learning

22 citations · 45 across the 5 of their papers we have counts for

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hep-ph2024★ 2 cited

Mapping the SMEFT at High-Energy Colliders: from LEP and the (HL-)LHC to the FCC-ee

Eugenia Celada, Tommaso Giani, Jaco ter Hoeve +5

We present SMEFiT3.0, an updated global SMEFT analysis of Higgs, top quark, and diboson production data from the LHC complemented by electroweak precision observables (EWPOs) from…