4 citations · 7 across the 2 of their papers we have counts for
3 papers
physics.ins-det2024★ 3 cited
Using graph neural networks to reconstruct charged pion showers in the CMS High Granularity Calorimeter
M. Aamir, G. Adamov, T. Adams +568
A novel method to reconstruct the energy of hadronic showers in the CMS High Granularity Calorimeter (HGCAL) is presented. The HGCAL is a sampling calorimeter with very fine transv…
hep-ex2024
Up and Down Quark Structure of the Proton
D0 Collaboration
We measure proton structure parameters sensitive primarily to valence quarks using 8.6 fb of data collected by the D0 detector in TeV collisions a…
physics.ins-det2023★ 4 cited
Timing Performance of the CMS High Granularity Calorimeter Prototype
CMS HGCAL collaboration
This paper describes the experience with the calibration, reconstruction and evaluation of the timing capabilities of the CMS HGCAL prototype in the beam tests in 2018. The calibra…