CERN Accelerating science

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1.
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
2.
Neutron irradiation and electrical characterisation of the first 8” silicon pad sensor prototypes for the CMS calorimeter endcap upgrade / CMS HGCAL Collaboration
As part of its HL-LHC upgrade program, the CMS collaboration is replacing its existing endcap calorimeters with a high-granularity calorimeter (CE). The new calorimeter is a sampling calorimeter with unprecedented transverse and longitudinal readout for both electromagnetic and hadronic compartments. [...]
arXiv:2209.10159.- 2023-08-24 - 19 p.
- Published in : JINST Fulltext: 33df321261c1de65891ca8b290f4b7a2 - PDF; 2209.10159 - PDF; Fulltext from Publisher: PDF; External link: Fermilab Library Server
3.
Performance of the CMS High Granularity Calorimeter prototype to charged pion beams of 20–300 GeV/c / CALICE Collaboration
The upgrade of the CMS experiment for the high luminosity operation of the LHC comprises the replacement of the current endcap calorimeter by a high granularity sampling calorimeter (HGCAL). The electromagnetic section of the HGCAL is based on silicon sensors interspersed between lead and copper (or copper tungsten) absorbers. [...]
arXiv:2211.04740.- 2023-08-14 - 31 p. - Published in : JINST 18 (2023) P08014 Fulltext: 2211.04740 - PDF; FERMILAB-PUB-23-299-ETD-PPD - PDF; Fulltext from Publisher: PDF; External link: Fermilab Library Server

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