3 papers
hep-ph2026
Automated computation of spin-density matrices and quantum observables for collider physics
Valentin Durupt, Fabio Maltoni, Olivier Mattelaer
We present a fully automated framework to compute production spin-density matrices for generic collider processes at tree level within \textsc{MadGraph5\_aMC@NLO}. The method assem…
hep-ph2026
Multi-channel phase space with Feynman-diagram-gauge amplitudes
Kaoru Hagiwara, Junichi Kanzaki, Fabio Maltoni +2
Multi-channel phase space with a single Feynman diagram enhancement is a powerful tool for high-energy physics event generation if a diagram with a singular propagator dominates th…
hep-ph2025
Amplitude Surrogates for Multi-Jet Processes
Luca Beccatini, Fabio Maltoni, Olivier Mattelaer +1
Accurate and efficient amplitude predictions are essential for precision studies of multi-jet processes at the LHC. We introduce a novel neural network architecture that predicts m…