Logo BSU

Please use this identifier to cite or link to this item: https://elib.bsu.by/handle/123456789/262532
Full metadata record
DC FieldValueLanguage
dc.contributor.authorChekhovsky, V.-
dc.contributor.authorMossolov, V.-
dc.contributor.authorGonzalez, Suarez J.-
dc.contributor.authorCMS Collaboration-
dc.date.accessioned2021-06-22T08:07:27Z-
dc.date.available2021-06-22T08:07:27Z-
dc.date.issued2019-
dc.identifier.citationJ Instrum 2019;14(6).ru
dc.identifier.urihttps://elib.bsu.by/handle/123456789/262532-
dc.descriptionPublished by IOP Publishing Ltd on behalf of Sissa Medialab. Original content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence.ru
dc.description.abstractAn embedding technique is presented to estimate standard model it backgrounds from data with minimal simulation input. In the data, the muons are removed from reconstructed nn events and replaced with simulated tau leptons with the same kinematic properties. In this way, a set of hybrid events is obtained that does not rely on simulation except for the decay of the tau leptons. The challenges in describing the underlying event or the production of associated jets in the simulation are avoided. The technique described in this paper was developed for CMS. Its validation and the inherent uncertainties are also discussed. The demonstration of the performance of the technique is based on a sample of proton-proton collisions collected by CMS in 2017 at √s = 13 TeV corresponding to an integrated luminosity o 41.5 fb-1.ru
dc.description.sponsorshipCERN for the benefit of the CMS collaboration.ru
dc.language.isoenru
dc.publisherInstitute of Physics Publishingru
dc.subjectЭБ БГУ::ЕСТЕСТВЕННЫЕ И ТОЧНЫЕ НАУКИ::Физикаru
dc.titleAn embedding technique to determine ττ backgrounds in proton-proton collision dataru
dc.typearticleru
dc.rights.licenseCC BY 4.0ru
dc.identifier.DOI10.1088/1748-0221/14/06/P06032-
dc.identifier.scopus85069663308-
Appears in Collections:Статьи НИУ «Институт ядерных проблем»

Files in This Item:
File Description SizeFormat 
Sirunyan_2019_J._Inst._14_P06032.pdf6,12 MBAdobe PDFView/Open
Show simple item record Google Scholar



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.