Tracking at LHC as a collaborative data challenge use case with RAMP

Charged particle tracking has been a major component of data-processing in high-energy physics experiments such as the Large Hadron Collider (LHC), and is fore- seen to become more and more challenging. There are many ways to perform the tracking task; a collaborative platform, RAMP, has been set up...

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Detalles Bibliográficos
Autores principales: Amrouche, Sabrina, Braun, Nils, Calafiura, Paolo, Farrell, Steven, Gammler, Jochen, Germain, Cécile, Gligorov, Vladimir Vava, Golling, Tobias, Grasland, Hadrien, 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
Formato: info:eu-repo/semantics/article
Lenguaje:eng
Publicado: 2017
Materias:
Detectors and Experimental Techniques
3: Advanced software
Acceso en línea:http://cds.cern.ch/record/2280929
Descripción
Sumario:Charged particle tracking has been a major component of data-processing in high-energy physics experiments such as the Large Hadron Collider (LHC), and is fore- seen to become more and more challenging. There are many ways to perform the tracking task; a collaborative platform, RAMP, has been set up so that developers can create algo- rithms to solve a simplified 2D tracking problems. A small scale competition was held during Connecting The Dots / Intelligent Trackers 2017 (CTDWIT 2017) workshop. De- spite the short time scale, a number of different approaches have been exercised. The scoring algorithm which has been developed, was shown to be robust both during the competition and with stress tests performed after the competition.

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