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MUSiC: a model unspecific search for new physics in proton-proton collisions at sqrt(s) = 13 TeV

BELFORTE, S.
•
CANDELISE, V.
•
CASARSA, M.
altro
ET AL (the CMS Collaboration)
2021
  • journal article

Periodico
THE EUROPEAN PHYSICAL JOURNAL. C, PARTICLES AND FIELDS
Abstract
Results of the Model Unspecific Search in CMS (MUSiC), using proton–proton collision data recorded at the LHC at a centre-of-mass energy of 13TeV, corresponding to an integrated luminosity of 35.9fb−1, are presented. The MUSiC analysis searches for anomalies that could be signatures of physics beyond the standard model. The analysis is based on the comparison of observed data with the standard model prediction, as determined from simulation, in several hundred final states and multiple kinematic distributions. Events containing at least one electron or muon are classified based on their final state topology, and an automated search algorithm surveys the observed data for deviations from the prediction. The sensitivity of the search is validated using multiple methods. No significant deviations from the predictions have been observed. For a wide range of final state topologies, agreement is found between the data and the standard model simulation. This analysis complements dedicated search analyses by significantly expanding the range of final states covered using a model independent approach with the largest data set to date to probe phase space regions beyond the reach of previous general searches.
DOI
10.1140/epjc/s10052-021-09236-z
WOS
WOS:000680865400002
Archivio
http://hdl.handle.net/11368/2993113
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85110920901
https://link.springer.com/article/10.1140/epjc/s10052-021-09236-z
Diritti
open access
license:creative commons
license uri:http://creativecommons.org/licenses/by/4.0/
FVG url
https://arts.units.it/bitstream/11368/2993113/1/Sirunyan2021_Article_MUSiCAModel-unspecificSearchFo.pdf
Soggetti
  • PARTICLE PHYSICS

  • LARGE HADRON COLLIDER...

  • CMS

Web of Science© citazioni
9
Data di acquisizione
Mar 24, 2024
Visualizzazioni
4
Data di acquisizione
Apr 19, 2024
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