The Tracking Machine Learning challenge : Accuracy phase

This paper reports the results of an experiment in high energy physics: using the power of the "crowd" to solve difficult experimental problems linked to tracking accurately the trajectory of particles in the Large Hadron Collider (LHC). This experiment took the form of a machine learning...

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Detalles Bibliográficos
Autores principales: Amrouche, Sabrina, Basara, Laurent, Calafiura, Paolo, Estrade, Victor, Farrell, Steven, Ferreira, Diogo R., Finnie, Liam, Finnie, Nicole, Germain, Cécile, Gligorov, Vladimir Vava, Golling, Tobias, Gorbunov, Sergey, Gray, Heather, Guyon, Isabelle, Hushchyn, Mikhail, Innocente, Vincenzo, Kiehn, Moritz, Moyse, Edward, Puget, Jean-Francois, Reina, Yuval, Rousseau, David, Salzburger, Andreas, Ustyuzhanin, Andrey, Vlimant, Jean-Roch, Wind, Johan Sokrates, Xylouris, Trian, Yilmaz, Yetkin
Lenguaje:eng
Publicado: 2020
Materias:
physics.data-an
Other Fields of Physics
hep-ex
Particle Physics - Experiment
Acceso en línea:https://dx.doi.org/10.1007/978-3-030-29135-8_9
http://cds.cern.ch/record/2672222

Internet

https://dx.doi.org/10.1007/978-3-030-29135-8_9
http://cds.cern.ch/record/2672222

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