The CMS Particle Flow Algorithm
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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.
Извор:
20th International Seminar on High Energy Physics - QUARKS 2018; Valday, Russian Federation, May 27th-June 2nd 2018, 2018, 191, 02016-Издавач:
- EPJ Web of Conferences
DOI: 10.1051/epjconf/201819102016
ISSN: 2101-6275
WoS: 000482971700026
Scopus: 2-s2.0-85056737833
URI
https://www.epj-conferences.org/10.1051/epjconf/201819102016https://vinar.vin.bg.ac.rs/handle/123456789/7963
Колекције
Институција/група
VinčaTY - CONF AU - Đorđević, Miloš PY - 2018 UR - https://www.epj-conferences.org/10.1051/epjconf/201819102016 UR - https://vinar.vin.bg.ac.rs/handle/123456789/7963 AB - 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. PB - EPJ Web of Conferences C3 - 20th International Seminar on High Energy Physics - QUARKS 2018; Valday, Russian Federation, May 27th-June 2nd 2018 T1 - The CMS Particle Flow Algorithm VL - 191 SP - 02016 DO - 10.1051/epjconf/201819102016 ER -
@conference{ author = "Đorđević, Miloš", year = "2018", abstract = "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.", publisher = "EPJ Web of Conferences", journal = "20th International Seminar on High Energy Physics - QUARKS 2018; Valday, Russian Federation, May 27th-June 2nd 2018", title = "The CMS Particle Flow Algorithm", volume = "191", pages = "02016", doi = "10.1051/epjconf/201819102016" }
Đorđević, M.. (2018). The CMS Particle Flow Algorithm. in 20th International Seminar on High Energy Physics - QUARKS 2018; Valday, Russian Federation, May 27th-June 2nd 2018 EPJ Web of Conferences., 191, 02016. https://doi.org/10.1051/epjconf/201819102016
Đorđević M. The CMS Particle Flow Algorithm. in 20th International Seminar on High Energy Physics - QUARKS 2018; Valday, Russian Federation, May 27th-June 2nd 2018. 2018;191:02016. doi:10.1051/epjconf/201819102016 .
Đorđević, Miloš, "The CMS Particle Flow Algorithm" in 20th International Seminar on High Energy Physics - QUARKS 2018; Valday, Russian Federation, May 27th-June 2nd 2018, 191 (2018):02016, https://doi.org/10.1051/epjconf/201819102016 . .