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Machine Learning methods for simulating particle response in the Zero Degree Calorimeter at the ALICE experiment, CERN

Currently, over half of the computing power at CERN GRID is used to run High Energy Physics simulations. The recent updates at the Large Hadron Collider (LHC) create the need for developing more efficient simulation methods. In particular, there exists a demand for a fast simulation of the neutron Z...

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Detalles Bibliográficos
Autores principales:	Dubiński, Jan, Deja, Kamil, Wenzel, Sandro, Rokita, Przemysław, Trzciński, Tomasz
Lenguaje:	eng
Publicado:	2023
Materias:	hep-ex Particle Physics - Experiment cs.CV Computing and Computers
Acceso en línea:	http://cds.cern.ch/record/2875960

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