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dc.contributor.authorSirunyan, A. M.
dc.contributor.authorTumasyan, A.
dc.contributor.authorAdam, W.
dc.contributor.authorAsilar, E.
dc.contributor.authorBergauer, T.
dc.contributor.authorBrandstetter, J.
dc.contributor.authorÖzdemir, Kadri
dc.contributor.authorCMS Collaboration
dc.date.accessioned2021-06-05T20:01:02Z
dc.date.available2021-06-05T20:01:02Z
dc.date.issued2017
dc.identifier.issn1748-0221
dc.identifier.urihttps://doi.org/10.1088/1748-0221/12/10/P10003
dc.identifier.urihttps://hdl.handle.net/20.500.12960/1045
dc.descriptionWOS:000414167100003en_US
dc.description.abstractThe CMS apparatus was identified, a few years before the start of the LHC operation at CERN, to feature properties well suited to particle-flow (PF) reconstruction: a highly-segmented tracker, a fine-grained electromagnetic calorimeter, a hermetic hadron calorimeter, a strong magnetic field, and an excellent muon spectrometer. A fully-fledged PF reconstruction algorithm tuned to the CMS detector was therefore developed and has been consistently used in physics analyses for the first time at a hadron collider. For each collision, the comprehensive list of final-state particles identified and reconstructed by the algorithm provides a global event description that leads to unprecedented CMS performance for jet and hadronic tau decay reconstruction, missing transverse momentum determination, and electron and muon identification. This approach also allows particles from pileup interactions to be identified and enables efficient pileup mitigation methods. The data collected by CMS at a centre-of-mass energy of 8 TeV show excellent agreement with the simulation and confirm the superior PF performance at least up to an average of 20 pileup interactions.en_US
dc.language.isoengen_US
dc.publisherIop Publishing Ltden_US
dc.relation.ispartofJournal on Instrumentationen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectLarge Detector Systems For Particle And Astroparticle Physicsen_US
dc.subjectParticle İdentification Methodsen_US
dc.titleParticle-flow reconstruction and global event description with the CMS detectoren_US
dc.typearticleen_US
dc.authorid0000-0002-0103-1488
dc.departmentMühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.contributor.institutionauthorÖzdemir, Kadri
dc.identifier.doi10.1088/1748-0221/12/10/P10003
dc.identifier.volume12en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US


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