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

Amrouche, Sabrina; Braun, Nils 1; Calafiura, Paolo; Farrell, Steven; Gemmler, Jochen 1; 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; ... mehr


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.

Volltext §
DOI: 10.5445/IR/1000073779
DOI: 10.1051/epjconf/201715000015
Zitationen: 5
Zitationen: 6
Cover der Publikation
Zugehörige Institution(en) am KIT Fakultät für Physik – Institut für Experimentelle Kernphysik (IEKP)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2017
Sprache Englisch
Identifikator ISSN: 2100-014X
KITopen-ID: 1000073779
Erschienen in The European physical journal / Web of Conferences
Verlag EDP Sciences
Band 150
Seiten Art. Nr. 00015
Nachgewiesen in Dimensions
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