2 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…
physics.data-an2024
Event-by-event Comparison between Machine-Learning- and Transfer-Matrix-based Unfolding Methods
Mathias Backes, Anja Butter, Monica Dunford +1
The unfolding of detector effects is a key aspect of comparing experimental data with theoretical predictions. In recent years, different Machine-Learning methods have been develop…