Machine Learning for Particle Flow Reconstruction at CMS

We provide details on the implementation of a machine-learning based particle flow algorithm for CMS. The standard particle flow algorithm reconstructs stable particles based on calorimeter clusters and tracks to provide a global event reconstruction that exploits the combined information of multipl...

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Detalles Bibliográficos
Autores principales: Pata, Joosep, Duarte, Javier, Mokhtar, Farouk, Wulff, Eric, Yoo, Jieun, Vlimant, Jean-Roch, Pierini, Maurizio, Girone, Maria
Lenguaje:eng
Publicado: 2023
Materias:
Mathematical Physics and Mathematics
Detectors and Experimental Techniques
Particle Physics - Experiment
Computing and Computers
Other Fields of Physics
Acceso en línea:https://dx.doi.org/10.1088/1742-6596/2438/1/012100
http://cds.cern.ch/record/2802826

Internet

https://dx.doi.org/10.1088/1742-6596/2438/1/012100
http://cds.cern.ch/record/2802826

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