611 citations · 3.2k across the 64 of their papers we have counts for
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physics.ins-det2021★ 19 cited
Response of a CMS HGCAL silicon-pad electromagnetic calorimeter prototype to 20-300 GeV positrons
B. Acar, G. Adamov, C. Adloff +385
The Compact Muon Solenoid Collaboration is designing a new high-granularity endcap calorimeter, HGCAL, to be installed later this decade. As part of this development work, a protot…
physics.ins-det2021★ 6 cited
Perspectives on the Calibration of CNN Energy Reconstruction in Highly Granular Calorimeters
N. Akchurin, C. Cowden, J. Damgov +2
We present a study which shows encouraging stability of the response linearity for a simulated high granularity calorimeter module reconstructed by a CNN model to miscalibration, b…
physics.ins-det2021★ 29 cited
On the Use of Neural Networks for Energy Reconstruction in High-granularity Calorimeters
N. Akchurin, C. Cowden, J. Damgov +2
We contrasted the performance of deep neural networks - Convolutional Neural Network (CNN) and Graph Neural Network (GNN) - to current state of the art energy regression methods in…