3 papers
physics.ins-det2024
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…
physics.ins-det2024
The effect of radiation damage on the light yield and uniformity of candidate plastic scintillator tiles for the CMS hadron calorimeter upgrade
The CMS HCAL Collaboration
A study has been performed to understand the effects of radiation damage on various plastic scintillator tiles considered for a possible upgrade of the hadron calorimeter of the CM…
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…