3 papers
hep-ex2026
Precision calibration of calorimeter signals in the ATLAS experiment using an uncertainty-aware neural network
ATLAS Collaboration
The ATLAS experiment at the Large Hadron Collider explores the use of modern neural networks for a multi-dimensional calibration of its calorimeter signal defined by clusters of to…
hep-ph2025
Automatizing the search for mass resonances using BumpNet
Jean-François Arguin, Georges Azuelos, Ãmile 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, Ãmile 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…