3 papers
hep-ph2025
Automatizing the search for mass resonances using BumpNet
Jean-François Arguin, Georges Azuelos, Émile Baril +15
Physics Beyond the Standard Model (BSM) has yet to be observed at the Large Hadron Collider (LHC), motivating the development of model-agnostic, machine learning-based strategies t…
physics.data-an2025
Automatizing the search for mass resonances using BumpNet
Jean-Francois Arguin, Georges Azuelos, Émile Baril +15
The search for resonant mass bumps in invariant-mass distributions remains a cornerstone strategy for uncovering Beyond the Standard Model (BSM) physics at the Large Hadron Collide…
hep-ex2023
Neural networks for boosted di- identification
Nadav Tamir, Ilan Bessudo, Boping Chen +2
We train several neural networks and boosted decision trees to discriminate fully-hadronic boosted di- topologies against background QCD jets, using calorimeter and tracking inf…