Cargando…

Track reconstruction at LHC as a collaborative data challenge use case with RAMP

Charged particle track reconstruction is a major component of data-processing in high-energy physics experiments such as those at the Large Hadron Collider (LHC), and is foreseen to become more and more challenging with higher collision rates. A simplified two-dimensional version of the track recons...

Descripción completa

Detalles Bibliográficos
Autores principales: Amrouche, Sabrina, Braun, Nils, Calafiura, Paolo, Farrell, Steven, Gemmler, Jochen, Germain, Cécile, Gligorov, Vladimir Vava, Golling, Tobias, Gray, Heather, Guyon, Isabelle, Hushchyn, Mikhail, Innocente, Vincenzo, Kégl, Balázs, Neuhaus, Sara, Rousseau, David, Salzburger, Andreas, Ustyuzhanin, Andrei, Vlimant, Jean-Roch, Wessel, Christian, Yilmaz, Yetkin
Lenguaje:eng
Publicado: 2017
Materias:
Acceso en línea:https://dx.doi.org/10.1051/epjconf/201715000015
http://cds.cern.ch/record/2280554
Descripción
Sumario:Charged particle track reconstruction is a major component of data-processing in high-energy physics experiments such as those at the Large Hadron Collider (LHC), and is foreseen to become more and more challenging with higher collision rates. A simplified two-dimensional version of the track reconstruction problem is set up on a collaborative platform, RAMP, in order for the developers to prototype and test new ideas. A small-scale competition was held during the Connecting The Dots / Intelligent Trackers 2017 (CTDWIT 2017) workshop. Despite the short time scale, a number of different approaches have been developed and compared along a single score metric, which was kept generic enough to accommodate a summarized performance in terms of both efficiency and fake rates.