| Issue |
EPJ Web Conf.
Volume 191, 2018
XXth International Seminar on High Energy Physics (QUARKS-2018)
|
|
|---|---|---|
| Article Number | 02016 | |
| Number of page(s) | 7 | |
| Section | Standard Model and Beyond | |
| DOI | https://doi.org/10.1051/epjconf/201819102016 | |
| Published online | 31 October 2018 | |
https://doi.org/10.1051/epjconf/201819102016
The CMS Particle Flow Algorithm
1
Vinca Institute of Nuclear Sciences, PO Box 522, 11001 Belgrade, Serbia
2
University of Belgrade, 1 Studentski trg, 11000 Belgrade, Serbia
* e-mail: milos.dordevic@cern.ch
Published online: 31 October 2018
The event reconstruction at the Compact Muon Solenoid (CMS) experiment at the CERN Large Hadron Collider (LHC) is predominantly based on the Particle Flow algorithm. This algorithm for a global event description uses the information from all subdetector systems, unlike the previous, traditional approaches that were focused on the localized information in each subdetector. These traditional methods use the raw information (tracks, hits), while the Particle Flow algorithm completely reconstructs the event by identifying and reconstructing the comprehensive list of final-state particles (photons, electrons, muons, charged and neutral hadrons), resulting in superior reconstruction of jets, missing transverse energy, tau leptons, electrons and muons. This approach also allows for efficient identification and mitigation of the pileup effect. The concept and performance of the Particle Flow algorithm, together with the prospects for its development in the context of the upgraded CMS detector, are presented in this overview.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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