Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.13091/4590
Title: Search for a heavy composite Majorana neutrino in events with dilepton signatures from proton-proton collisions at & RADIC;s=13 TeV
Authors: Tumasyan, A.
Adam, W.
Andrejkovic, J. W.
Bergauer, T.
Chatterjee, S.
Damanakis, K.
Tiras, E.
Keywords: CMS
LHC
Composite fermions
Heavy leptons
Pair Production
Quark
Lepton
Models
Bounds
Level
Publisher: Elsevier
Abstract: Results are presented of a search for a heavy Majorana neutrino N ⠃ decaying into two same-flavor leptons ⠃ (electrons or muons) and a quark-pair jet. A model is considered in which the N ⠃ is an excited neutrino in a compositeness scenario. The analysis is performed using a sample of proton-proton collisions at & RADIC;s = 13 TeV recorded by the CMS experiment at the CERN LHC, corresponding to an integrated luminosity of 138 fb-1. The data are found to be in agreement with the standard model prediction. For the process in which the N ⠃ is produced in association with a lepton, followed by the decay of the N ⠃ to a same-flavor lepton and a quark pair, an upper limit at 95% confidence level on the product of the cross section and branching fraction is obtained as a function of the N ⠃ mass mN ⠃ and the compositeness scale ⠄. For this model the data exclude the existence of Ne (N & mu;) for mN ⠃ below 6.0 (6.1) TeV, at the limit where mN ⠃ is equal to ⠄. For mN ⠃ N 1 TeV, values of ⠄ less than 20 (23) TeV are excluded. These results represent a considerable improvement in sensitivity, covering a larger parameter space than previous searches in pp collisions at 13 TeV.& COPY; 2023 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons .org /licenses /by /4 .0/). Funded by SCOAP3.
URI: https://doi.org/10.1016/j.physletb.2023.137803
https://hdl.handle.net/20.500.13091/4590
ISSN: 0370-2693
1873-2445
Appears in Collections:WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collections

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