Search for new heavy resonances decaying to WW, WZ, ZZ, WH, or ZH boson pairs in the all-jets final state in proton-proton collisions at = 13 TeV
arXiv:2210.00043 · doi:10.1016/j.physletb.2023.137813
Abstract
A search for new heavy resonances decaying to WW, WZ, ZZ, WH, or ZH boson pairs in the all-jets final state is presented. The analysis is based on proton-proton collision data recorded by the CMS detector in 2016-2018 at a centre-of-mass energy of 13 TeV at the CERN LHC, corresponding to an integrated luminosity of 138 fb. The search is sensitive to resonances with masses between 1.3 and 6 TeV, decaying to bosons that are highly Lorentz-boosted such that each of the bosons forms a single large-radius jet. Machine learning techniques are employed to identify such jets. No significant excess over the estimated standard model background is observed. A maximum local significance of 3.6 standard deviations, corresponding to a global significance of 2.3 standard deviations, is observed at masses of 2.1 and 2.9 TeV. In a heavy vector triplet model, spin-1 Z' and W' resonances with masses below 4.8 TeV are excluded at the 95% confidence level (CL). These limits are the most stringent to date. In a bulk graviton model, spin-2 gravitons and spin-0 radions with masses below 1.4 and 2.7 TeV, respectively, are excluded at 95% CL. Production of heavy resonances through vector boson fusion is constrained with upper cross section limits at 95% CL as low as 0.1 fb.
Replaced with the published version. Added the journal reference and the DOI. All the figures and tables, including additional supplementary figures, can be found at http://cms-results.web.cern.ch/cms-results/public-results/publications/B2G-20-009 (CMS Public Pages)
References in corpus (21)
- The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations
- An Introduction to PYTHIA 8.2
- Herwig++ Physics and Manual
- Parton distributions in the LHC era: MMHT 2014 PDFs
- Comparative study of various algorithms for the merging of parton showers and matrix elements in hadronic collisions
- Particle-flow reconstruction and global event description with the CMS detector
- Description and performance of track and primary-vertex reconstruction with the CMS tracker
- Jet energy scale and resolution in the CMS experiment in pp collisions at 8 TeV
- Pileup Per Particle Identification
- Precision luminosity measurement in proton-proton collisions at 13 TeV in 2015 and 2016 at CMS
- Warped Gravitons at the LHC and Beyond
- Identification of heavy, energetic, hadronically decaying particles using machine-learning techniques
- Search for resonant diboson production in the final state in pp collisions at TeV with the ATLAS detector
- Search for heavy diboson resonances in semileptonic final states in collisions at TeV with the ATLAS detector
- Search for new resonances decaying via WZ to leptons in proton-proton collisions at sqrt(s) = 8 TeV
- Search for diboson resonances with boson-tagged jets in collisions at TeV with the ATLAS detector
- Search for RS gravitons via decays
- Search for heavy resonances decaying to a or boson and a Higgs boson in the final state in collisions at TeV with the ATLAS detector
- Search for heavy resonances that decay into a vector boson and a Higgs boson in hadronic final states at sqrt(s) = 13 TeV
- Search for new resonances decaying to a or boson and a Higgs boson in the , , and channels with collisions at TeV with the ATLAS detector
- Search for heavy resonances decaying into a vector boson and a Higgs boson in final states with charged leptons, neutrinos, and b quarks
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- Machine-Learning Performance on Higgs-Pair Production Associated with Dark Matter at the LHC
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- Dark-technicolour at colliders