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Article
Report number arXiv:2006.12946 ; CERN-EP-2020-066
Title Search for new non-resonant phenomena in high-mass dilepton final states with the ATLAS detector
Author(s) ATLAS Collaboration  Mostrar todos los 2942 autores
Corporate Author(s) ATLAS Collaboration
Publication 2020-11-04
Imprint 23 Jun 2020
Number of pages 37
Note 37 pages in total, author list starting page 21, 4 figures, 6 tables, published in JHEP. Erratum: JHEP 04 (2021) 142. All figures including auxiliary figures are available at
In: JHEP 2011 (2020) pp.005
DOI 10.1007/JHEP11(2020)005
10.1007/JHEP04(2021)142 (Erratum)
Subject category Particle Physics - Experiment ; hep-ex
Accelerator/Facility, Experiment CERN LHC ; ATLAS
Free keywords exotics ; experimental results
Abstract A search for new physics with non-resonant signals in dielectron and dimuon final states in the mass range above 2 TeV is presented. This is the first search for non-resonant signals in dilepton final states at the LHC to use a background estimate from the data. The data, corresponding to an integrated luminosity of 139 fb1, were recorded by the ATLAS experiment in protonproton collisions at a centre-of-mass energy of s=13 TeV during Run 2 of the Large Hadron Collider. The benchmark signal signature is a two-quark and two-lepton contact interaction, which would enhance the dilepton event rate at the TeV mass scale. To model the contribution from background processes a functional form is fit to the dilepton invariant-mass spectra in data in a mass region below the region of interest. It is then extrapolated to a high-mass signal region to obtain the expected background there. No significant deviation from the expected background is observed in the data. Upper limits at 95% CL on the number of events and the visible cross-section times branching fraction for processes involving new physics are provided. Observed (expected) 95% CL lower limits on the contact interaction energy scale reach 35.8(37.6) TeV.
Copyright/License preprint: © 2020-2025 CERN (License: CC-BY-4.0)
publication: © 2020-2025 CERN (License: CC-BY-4.0), sponsored by SCOAP³



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Email contact: gabriela.navarro@uan.edu.co


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