1. Track reconstruction at LHC as a collaborative data challenge use case with RAMP
- Author
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Nils Braun, Yetkin Yilmaz, Paolo Calafiura, Isabelle Guyon, David Rousseau, J. Gemmler, Steven Farrell, Mikhail Hushchyn, Vincenzo Innocente, Heather Gray, Sabrina Amrouche, Andreas Salzburger, Balázs Kégl, C. Wessel, Jean-Roch Vlimant, Sara Neuhaus, Andrei Ustyuzhanin, Cécile Germain, Vladimir Gligorov, Tobias Golling, Laboratoire de l'Accélérateur Linéaire (LAL), Centre National de la Recherche Scientifique (CNRS)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris-Sud - Paris 11 (UP11), Laboratoire de Recherche en Informatique (LRI), CentraleSupélec-Université Paris-Sud - Paris 11 (UP11)-Centre National de la Recherche Scientifique (CNRS), Laboratoire de Physique Nucléaire et de Hautes Énergies (LPNHE (UMR_7585)), Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Université Paris Diderot - Paris 7 (UPD7)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS), Université Paris-Saclay, Université Paris-Sud - Paris 11 (UP11)-Institut National de Physique Nucléaire et de Physique des Particules du CNRS (IN2P3)-Centre National de la Recherche Scientifique (CNRS), and Université Paris-Sud - Paris 11 (UP11)-CentraleSupélec-Centre National de la Recherche Scientifique (CNRS)
- Subjects
data analysis method ,BitTorrent tracker ,QC1-999 ,Real-time computing ,Scale (descriptive set theory) ,010501 environmental sciences ,Track (rail transport) ,01 natural sciences ,010305 fluids & plasmas ,Set (abstract data type) ,Component (UML) ,0103 physical sciences ,[PHYS.HEXP]Physics [physics]/High Energy Physics - Experiment [hep-ex] ,ddc:530 ,[PHYS.PHYS.PHYS-INS-DET]Physics [physics]/Physics [physics]/Instrumentation and Detectors [physics.ins-det] ,dimension: 2 ,Simulation ,activity report ,0105 earth and related environmental sciences ,Physics ,Large Hadron Collider ,track data analysis ,Collision ,CERN LHC Coll ,efficiency ,Metric (mathematics) ,performance - Abstract
International audience; 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.
- Published
- 2017
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