4 citations · 4 across the 1 of their papers we have counts for
2 papers
hep-ex2026★ 4 cited
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-ex2024
Trees versus Neural Networks for enhancing tau lepton real-time selection in proton-proton collisions
Maayan Yaary, Uriel Barron, Luis Pascual DomÃnguez +4
This paper introduces supervised learning techniques for real-time selection (triggering) of hadronically decaying tau leptons in proton-proton colliders. By implementing classic m…