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Model Unspecific Search in CMS (MUSiC)

The Model Unspecific Search in CMS (MUSiC) analysis searches for anomalies in data that can be probed for new physics phenomena based purely on the comparison of the recorded data to the expectation according to the standard model (SM), obtained from simulations. Events selected with at least one le...

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Detalles Bibliográficos
Autor principal: Vigilante, Lorenzo
Lenguaje:eng
Publicado: 2020
Materias:
Acceso en línea:http://cds.cern.ch/record/2792624
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author Vigilante, Lorenzo
author_facet Vigilante, Lorenzo
author_sort Vigilante, Lorenzo
collection CERN
description The Model Unspecific Search in CMS (MUSiC) analysis searches for anomalies in data that can be probed for new physics phenomena based purely on the comparison of the recorded data to the expectation according to the standard model (SM), obtained from simulations. Events selected with at least one lepton are classified into several hundred event classes based on their final state topology, taking electrons, muons, photons, jets, b-tagged jets, and missing transverse momentum into account, and an automated search algorithm subsequently surveys kinematic distributions of the data for deviations from the SM expectation without any explicit input of any particular new physics models.The search strategy and the results of the MUSiC analysis using 35.9 fb$^{1}$ of data recorded by the CMS detector at the CERN LHC during proton-proton collisions at a center of mass energy of 13 TeV will the presented.
id cern-2792624
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2020
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spelling cern-27926242021-12-10T19:48:19Zhttp://cds.cern.ch/record/2792624engVigilante, LorenzoModel Unspecific Search in CMS (MUSiC)Detectors and Experimental TechniquesThe Model Unspecific Search in CMS (MUSiC) analysis searches for anomalies in data that can be probed for new physics phenomena based purely on the comparison of the recorded data to the expectation according to the standard model (SM), obtained from simulations. Events selected with at least one lepton are classified into several hundred event classes based on their final state topology, taking electrons, muons, photons, jets, b-tagged jets, and missing transverse momentum into account, and an automated search algorithm subsequently surveys kinematic distributions of the data for deviations from the SM expectation without any explicit input of any particular new physics models.The search strategy and the results of the MUSiC analysis using 35.9 fb$^{1}$ of data recorded by the CMS detector at the CERN LHC during proton-proton collisions at a center of mass energy of 13 TeV will the presented.CMS-CR-2020-191oai:cds.cern.ch:27926242020-10-23
spellingShingle Detectors and Experimental Techniques
Vigilante, Lorenzo
Model Unspecific Search in CMS (MUSiC)
title Model Unspecific Search in CMS (MUSiC)
title_full Model Unspecific Search in CMS (MUSiC)
title_fullStr Model Unspecific Search in CMS (MUSiC)
title_full_unstemmed Model Unspecific Search in CMS (MUSiC)
title_short Model Unspecific Search in CMS (MUSiC)
title_sort model unspecific search in cms (music)
topic Detectors and Experimental Techniques
url http://cds.cern.ch/record/2792624
work_keys_str_mv AT vigilantelorenzo modelunspecificsearchincmsmusic