611 citations · 3.2k across the 64 of their papers we have counts for
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physics.ins-det2024
High-granularity Dual-readout Calorimeter: Evolution of a Classic Prototype
N. Akchurin, J. Cash, J. Damgov +9
The original dual-readout calorimeter prototype (DREAM), constructed two decades ago, has proven instrumental in advancing our understanding of calorimetry. It has facilitated a mu…
physics.ins-det2024
Vertex Imaging Hadron Calorimetry Using AI/ML Tools
N. Akchurin, J. Cash, J. Damgov +9
The fluctuations in energy loss to processes that do not generate measurable signals, such as binding energy losses, set the limit on achievable hadronic energy resolution in tradi…
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…