most citedUsing graph neural networks to reconstruct charged pion showers in the CMS High Granularity Calorimeter

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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…