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Using graph neural networks to reconstruct charged pion showers in the CMS High Granularity Calorimeter / CMS HGCAL Collaboration
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 transverse and longitudinal granularity. [...]
arXiv:2406.11937.- 2024-11-28 - 27 p. - Published in : JINST 19 (2024) P11025 Fulltext: 2406.11937 - PDF; b5503c82fab7782294f84cb336b7e20a - PDF; Fulltext from Publisher: PDF; External link: Fermilab Library Server

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