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dc.contributor.authorCMS Collaboration
dc.date.accessioned2018-10-23T19:30:01Z
dc.date.available2018-10-23T19:30:01Z
dc.date.issued2017-06-28
dc.identifier.citationCMS Collaboration. (2017). Search for standard model production of four top quarks in proton–proton collisions at s= 13 TeV. Physics Letters, Section B: Nuclear, Elementary Particle and High-Energy Physics, 772, 336-358.en_US
dc.identifier.urihttp://hdl.handle.net/1808/26969
dc.description.abstractA search for events containing four top quarks (t¯tt¯t) is reported from proton–proton collisions recorded by the CMS experiment at √s=13TeVand corresponding to an integrated luminosity of 2.6fb−1. The analysis considers the single-lepton (e or μ)+jets and the opposite-sign dilepton (μ+μ−, μ±e∓, or e+e−)+jets channels. It uses boosted decision trees to combine information on the global event and jet properties to distinguish between t¯tt¯tand t¯tproduction. The number of events observed after all selection requirements is consistent with expectations from background and standard model signal predictions, and an upper limit is set on the cross section for t¯tt¯tproduction in the standard model of 94fb at 95% confidence level (10.2×the prediction), with an expected limit of 118fb. This is combined with the results from the published CMS search in the same-sign dilepton channel, resulting in an improved limit of 69fb at 95% confidence level (7.4×the prediction), with an expected limit of 71fb. These are the strongest constraints on the rate of t¯tt¯tproduction to date.en_US
dc.publisherElsevieren_US
dc.rights© 2017 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license.en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.subjectCMSen_US
dc.subjectPhysicsen_US
dc.subjectTopen_US
dc.subjectBSMen_US
dc.titleSearch for standard model production of four top quarks in proton–proton collisions at √s = 13 TeVen_US
dc.typeArticleen_US
kusw.kudepartmentPhysics and Astronomyen_US
dc.identifier.doi10.1016/j.physletb.2017.06.064en_US
kusw.oaversionScholarly/refereed, publisher versionen_US
kusw.oapolicyThis item meets KU Open Access policy criteria.en_US
dc.rights.accessrightsopenAccessen_US


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© 2017 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license.
Except where otherwise noted, this item's license is described as: © 2017 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license.