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20172022
most citedMeasurements of properties of the Higgs boson decaying into the four-lepton final state in pp collisions at sqrt(s) = 13 TeV

244 citations · 577 across the 19 of their papers we have counts for

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9 papers · 1 filter

hep-ex2022★ 23 cited

Search for direct pair production of supersymmetric partners of leptons in the final state with two hadronically decaying leptons and missing transverse momentum in proton-proton collisions at = 13 TeV

CMS Collaboration

A search for the direct production of a pair of sleptons, the supersymmetric partners of leptons, is presented. Each slepton is assumed to decay to a lepton and the…

hep-ex2022★ 12 cited

Precision measurement of the Z boson invisible width in pp collisions at = 13 TeV

CMS Collaboration

A precise measurement of the invisible width of the Z boson produced in proton-proton collisions at a center-of-mass energy of 13 TeV is presented using data recorded by the CMS ex…

hep-ex2022★ 12 cited

Search for Higgs boson decays into Z and J/ and for Higgs and Z boson decays into J/ or pairs in pp collisions at = 13 TeV

CMS Collaboration

Decays of the Higgs boson into a Z boson and a J/ or (2S) meson are searched for in four-lepton final states with the CMS detector at the LHC. A data set of proton-proton col…

hep-ex2022★ 6 cited

Observation of electroweak WW pair production in association with two jets in proton-proton collisions at = 13 TeV

CMS Collaboration

An observation is reported of the electroweak production of a WW pair in association with two jets, with both W bosons decaying leptonically. The data sample corresponds to…

hep-ex2022★ 33 cited

Search for Higgs boson decays to a Z boson and a photon in proton-proton collisions at = 13 TeV

CMS Collaboration

Results are presented from a search for the Higgs boson decay H Z, where Z with = e or . The search is performed using a sample of proton-pr…

hep-ex2022★ 9 cited

Reconstruction of decays to merged photons using end-to-end deep learning with domain continuation in the CMS detector

CMS Collaboration

A novel technique based on machine learning is introduced to reconstruct the decays of highly Lorentz-boosted particles. Using an end-to-end deep learning strategy, the technique b…