Track reconstruction at LHC as a collaborative data challenge use case with RAMP
- Creators
- 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
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.
Additional Information
© 2017 The Authors, published by EDP Sciences. This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Published online: 8 August 2017. This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 654168.Attached Files
Published - epjconf_ctdw2017_00015.pdf
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Additional details
- Eprint ID
- 85400
- Resolver ID
- CaltechAUTHORS:20180321-124934830
- 654168
- European Research Council (ERC)
- Created
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2018-03-26Created from EPrint's datestamp field
- Updated
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2021-11-15Created from EPrint's last_modified field