1 citations · 1 across the 1 of their papers we have counts for
3 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…
physics.ins-det2024
Design of a SiPM-on-Tile ZDC for the future EIC and its Performance with Graph Neural Networks
Ryan Milton, Sebouh J. Paul, Barak Schmookler +5
We present a design for a high-granularity zero-degree calorimeter (ZDC) for the upcoming Electron-Ion Collider (EIC). The design uses SiPM-on-tile technology and features a novel…
physics.ins-det2023★ 1 cited
The Optimal use of Segmentation for Sampling Calorimeters
Fernando Torales Acosta, Bishnu Karki, Piyush Karande +7
One of the key design choices of any sampling calorimeter is how fine to make the longitudinal and transverse segmentation. To inform this choice, we study the impact of calorimete…