The Tracking Machine Learning challenge : Throughput phase

This paper reports on the second “Throughput” phase of the Tracking Machine Learning (TrackML) challenge on the Codalab platform. As in the first “Accuracy” phase, the participants had to solve a difficult experimental problem linked to tracking accurately the trajectory of particles as e.g. created...

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Detalles Bibliográficos
Autores principales: Amrouche, Sabrina, Basara, Laurent, Calafiura, Paolo, Emeliyanov, Dmitry, Estrade, Victor, Farrell, Steven, Germain, Cécile, Gligorov, Vladimir Vava, Golling, Tobias, Gorbunov, Sergey, Gray, Heather, Guyon, Isabelle, Hushchyn, Mikhail, Innocente, Vincenzo, Kiehn, Moritz, Kunze, Marcel, Moyse, Edward, Rousseau, David, Salzburger, Andreas, Ustyuzhanin, Andrey, Vlimant, Jean-Roch, Yilmaz, Yetkin
Lenguaje:eng
Publicado: 2021
Materias:
hep-ex
Particle Physics - Experiment
cs.LG
Computing and Computers
Acceso en línea:https://dx.doi.org/10.1007/s41781-023-00094-w
http://cds.cern.ch/record/2766066

Internet

https://dx.doi.org/10.1007/s41781-023-00094-w
http://cds.cern.ch/record/2766066

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