Observation of tW production in the single-lepton channel in pp collisions at √s = 13 TeV / A. R. Tumasyan, W. Adam, J. W. Andrejkovic [et al.]
Уровень набора: Journal of High Energy PhysicsЯзык: английский.Резюме или реферат: A measurement of the cross section of the associated production of a single top quark and a W boson in final states with a muon or electron and jets in proton-proton collisions at √s = 13 TeV is presented. The data correspond to an integrated luminosity of 36 fb−1 collected with the CMS detector at the CERN LHC in 2016. A boosted decision tree is used to separate the tW signal from the dominant tt¯t¯ background, whilst the subleading W+jets and multijet backgrounds are constrained using data-based estimates. This result is the first observation of the tW process in final states containing a muon or electron and jets, with a significance exceeding 5 standard deviations. The cross section is determined to be 89 ± 4 (stat) ± 12 (syst) pb, consistent with the standard model..Примечания о наличии в документе библиографии/указателя: [References: 59 tit.].Тематика: электронный ресурс | труды учёных ТПУ | Hadron-Hadron scattering (experiments) | Top physics Ресурсы он-лайн:Щелкните здесь для доступа в онлайнTitle screen
[References: 59 tit.]
A measurement of the cross section of the associated production of a single top quark and a W boson in final states with a muon or electron and jets in proton-proton collisions at √s = 13 TeV is presented. The data correspond to an integrated luminosity of 36 fb−1 collected with the CMS detector at the CERN LHC in 2016. A boosted decision tree is used to separate the tW signal from the dominant tt¯t¯ background, whilst the subleading W+jets and multijet backgrounds are constrained using data-based estimates. This result is the first observation of the tW process in final states containing a muon or electron and jets, with a significance exceeding 5 standard deviations. The cross section is determined to be 89 ± 4 (stat) ± 12 (syst) pb, consistent with the standard model.
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