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Combination of searches for heavy vector boson resonances in proton-proton collisions at √s = 13TeV
Yerevan Physics Institute, Yerevan, Armenia. (CMS Collaboration)
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Embedded Internet Systems Lab. INFN Sezione di Padova, Padova, Italy. (CMS Collaboration)ORCID iD: 0000-0002-1659-8727
Institute formerly covered by a cooperation agreement with CERN. (CMS Collaboration)ORCID iD: 0000-0002-7452-8380
Number of Authors: 23922026 (English)In: Journal of High Energy Physics (JHEP), ISSN 1126-6708, E-ISSN 1029-8479, Vol. 2026, no 7, article id 5Article in journal (Refereed) Published
Abstract [en]

A combined statistical analysis of searches for heavy vector boson resonances decaying into pairs of W, Z, or Higgs bosons, as well as into quark pairs (qq, bb, tt, tb) or lepton pairs (ℓ+, ℓν), with ℓ = e, μ, τ, is presented. The results are based on proton-proton collision data at a center-of-mass energy of 13 TeV, corresponding to an integrated luminosity of 138 fb−1, collected by the CMS experiment from 2016 to 2018. No significant deviation from the expectations of the standard model is observed. The results are interpreted in the simplified heavy vector triplet (HVT) framework, setting 95% confidence level upper limits on the production cross sections and on the coupling strengths of the HVT bosons to standard model particles. The results exclude HVT resonances with masses below 5.5 TeV in a weakly coupled scenario, below 4.8 TeV in a strongly coupled scenario, and up to 2.0 TeV in the case of production via vector boson fusion. The combination provides the most stringent constraints to date on new phenomena predicted by the HVT model.

Place, publisher, year, edition, pages
Springer Nature, 2026. Vol. 2026, no 7, article id 5
Keywords [en]
Beyond Standard Model, Hadron-Hadron Scattering, Vector Boson Production
National Category
Subatomic Physics
Research subject
Machine Learning
Identifiers
URN: urn:nbn:se:ltu:diva-119475DOI: 10.1007/JHEP07(2026)005ISI: 001820000400001Scopus ID: 2-s2.0-105044678261OAI: oai:DiVA.org:ltu-119475DiVA, id: diva2:2093593
Note

For funding information: https://link.springer.com/article/10.1007/JHEP07(2026)005#Ack1;

Full text license: CC BY

Available from: 2026-08-19 Created: 2026-08-19 Last updated: 2026-08-19Bibliographically approved

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Dorigo, Tommaso

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