arXiv Machine Learning
Jul 20

Learning Standard Model structure from LHC data with Riemannian flow matching

arXiv:2607. 16144v1 Announce Type: cross Abstract: In this work we demonstrate that a single transformer-based generative model can capture Standard Model structure spanning five decades of invariant mass, from the sub-GeV regime to the TeV continuum, a range that no single Monte Carlo sample covers.

By Midori Kato, Kevin A. Urqu\'ia-Calder\'on, Inar Timiryasov, Oleg Ruchayskiy