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Multi-particle reconstruction in the High Granularity Calorimeter using object condensation and graph neural networks

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The high-luminosity upgrade of the LHC will come with unprecedented physics and computing challenges. One of these challenges is the accurate reconstruction of particles in events with up to 200 simultaneous protonproton interactions. The planned CMS High Granularity Calorimeter offers fine spatial...

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Detalles Bibliográficos
Autores principales:	Qasim, Shah Rukh, Long, Kenneth, Kieseler, Jan, Pierini, Maurizio, Nawaz, Raheel
Lenguaje:	eng
Publicado:	2021
Materias:	physics.ins-det Detectors and Experimental Techniques
Acceso en línea:	https://dx.doi.org/10.1051/epjconf/202125103072 http://cds.cern.ch/record/2775923

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