EPJ Web of Conferences (Jan 2017)

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

  • 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

DOI
https://doi.org/10.1051/epjconf/201715000015
Journal volume & issue
Vol. 150
p. 00015

Abstract

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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.