A deep neural network method for analyzing the CMS High Granularity Calorimeter (HGCAL) events

For the High Luminosity LHC, the CMS collaboration made the ambitious choice of a high granularity design to replace the existing endcap calorimeters. Thousands of particles coming from the multiple interactions create showers in the calorimeters, depositing energy simultaneously in adjacent cells....

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Detalles Bibliográficos
Autores principales: Grasseau, Gilles, Kumar, Abhinav, Sartirana, Andrea, Lobanov, Artur, Beaudette, Florian
Lenguaje:eng
Publicado: 2020
Materias:
Computing and Computers
Detectors and Experimental Techniques
Acceso en línea:https://dx.doi.org/10.1051/epjconf/202024502003
http://cds.cern.ch/record/2756299

Internet

https://dx.doi.org/10.1051/epjconf/202024502003
http://cds.cern.ch/record/2756299

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