2 papers
hep-ex2024
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-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…