Graph Neural Networks for Particle Reconstruction in High Energy Physics detectors

Pattern recognition problems in high energy physics are notably different from traditional machine learning applications in computer vision. Reconstruction algorithms identify and measure the kinematic properties of particles produced in high energy collisions and recorded with complex detector syst...

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Detalles Bibliográficos
Autores principales: Ju, Xiangyang, Farrell, Steven, Calafiura, Paolo, Murnane, Daniel, Prabhat, Gray, Lindsey, Klijnsma, Thomas, Pedro, Kevin, Cerati, Giuseppe, Kowalkowski, Jim, Perdue, Gabriel, Spentzouris, Panagiotis, Tran, Nhan, Vlimant, Jean-Roch, Zlokapa, Alexander, Pata, Joosep, Spiropulu, Maria, An, Sitong, Aurisano, Adam, Hewes, V., Hewes, Jeremy, Tsaris, Aristeidis, Terao, Kazuhiro, Usher, Tracy
Lenguaje:eng
Publicado: 2020
Materias:
physics.data-an
Other Fields of Physics
hep-ex
Particle Physics - Experiment
physics.ins-det
Detectors and Experimental Techniques
Acceso en línea:http://cds.cern.ch/record/2715452

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