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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.
The OLVE-HERO Calorimeter Prototype Beam Test at CERN SPS / Pan, A (Dubna, JINR ; IPT, Kazakstan) ; Grebenyuk, V M (Dubna, JINR ; Dubna Intl. Univ.) ; Karmanov, D M (SINP, Moscow) ; Krasnoperov, A V (Dubna, JINR) ; Podorozhny, D M (SINP, Moscow) ; Porokhovoy, S Yu (Dubna, JINR) ; Rogov, A D (Dubna, JINR) ; Sadovsky, A B (Dubna, JINR) ; Satyshev, I (Dubna, JINR ; IPT, Kazakstan) ; Slunecka, M (Dubna, JINR) et al.
A project of the OLVE-HERO space detector for measurement of the cosmic rays in the range 10$^{12}$–10$^{16}$ eV is proposed. It will include a large ionization-neutron 3D calorimeter with a high granularity and geometric factor of ~16 m$^{2}$ sr. [...]
2020 - 6 p. - Published in : Phys. Part. Nucl. Lett. 17 (2020) 13-18

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1 Satyshev, I
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