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Conference Papers Year : 2017

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

Abstract

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.

Dates and versions

hal-01584689 , version 1 (09-09-2017)

Identifiers

Cite

Sabrina Amrouche, Nils Braun, Paolo Calafiura, Steven Farrell, Jochen Gemmler, et al.. Track reconstruction at LHC as a collaborative data challenge use case with RAMP. Connecting The Dots / Intelligent Tracker, Mar 2017, Orsay, France. pp.00015, ⟨10.1051/epjconf/201715000015⟩. ⟨hal-01584689⟩
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