586 citations · 1k across the 4 of their papers we have counts for
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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…