112 citations · 2.1k across the 144 of their papers we have counts for
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hep-ph2024★ 3 cited
LHC EFT WG Note: SMEFT predictions, event reweighting, and simulation
Alberto Belvedere, Saptaparna Bhattacharya, Giacomo Boldrini +16
This note gives an overview of the tools for predicting expectations in the Standard Model effective field theory (SMEFT) at the tree level and one loop available through event gen…
hep-ph2024★ 5 cited
A rotation-equivariant graph neural network for learning hadronic SMEFT effects
Suman Chatterjee, Sergio Sánchez Cruz, Robert Schöfbeck +1
We introduce a graph neural network architecture designed to extract novel phenomena in the Standard Model Effective Field Theory (SMEFT) context from LHC collision data. The propo…