113 citations · 319 across the 7 of their papers we have counts for
3 papers · 1 filter
To Profile or To Marginalize -- A SMEFT Case Study
Ilaria Brivio, Sebastian Bruggisser, Nina Elmer +3
Global SMEFT analyses have become a key interpretation framework for LHC physics, quantifying how well a large set of kinematic measurements agrees with the Standard Model. This ag…
Loop Amplitudes from Precision Networks
Simon Badger, Anja Butter, Michel Luchmann +2
Evaluating loop amplitudes is a time-consuming part of LHC event generation. For di-photon production with jets we show that simple, Bayesian networks can learn such amplitudes and…
Machine Learning and LHC Event Generation
Anja Butter, Tilman Plehn, Steffen Schumann +48
First-principle simulations are at the heart of the high-energy physics research program. They link the vast data output of multi-purpose detectors with fundamental theory predicti…