activity
20142022
most citedPerformance of missing transverse momentum reconstruction in proton-proton collisions at 13 TeV using the CMS detector

262 citations · 869 across the 12 of their papers we have counts for

collaborators

12 papers

hep-ex202227 cited

Search for single production of a vector-like T quark decaying to a top quark and a Z boson in the final state with jets and missing transverse momentum at 13 TeV

CMS Collaboration

A search is presented for single production of a vector-like T quark with charge 2/3 , in the decay channel featuring a top quark and a Z boson, with the top quark decaying hadr…

physics.ins-det202030 cited

Reconstruction of signal amplitudes in the CMS electromagnetic calorimeter in the presence of overlapping proton-proton interactions

CMS Collaboration

A template fitting technique for reconstructing the amplitude of signals produced by the lead tungstate crystals of the CMS electromagnetic calorimeter is described. This novel app…

physics.ins-det201964 cited

Performance of the reconstruction and identification of high-momentum muons in proton-proton collisions at 13 TeV

CMS Collaboration

The CMS detector at the LHC has recorded events from proton-proton collisions, with muon momenta reaching up to 1.8 TeV in the collected dimuon samples. These high-momentum muons a…

hep-ex2019103 cited

Observation of two excited B states and measurement of the B(2S) mass in pp collisions at 13 TeV

CMS Collaboration

Signals consistent with the B(2S) and B(2S) states are observed in proton-proton collisions at 13 TeV, in an event sample correspondin…

hep-ex2019262 cited

Performance of missing transverse momentum reconstruction in proton-proton collisions at 13 TeV using the CMS detector

CMS Collaboration

The performance of missing transverse momentum () reconstruction algorithms for the CMS experiment is presented, using proton-proton collisions…

hep-ex201921 cited

An embedding technique to determine backgrounds in proton-proton collision data

CMS Collaboration

An embedding technique is presented to estimate standard model backgrounds from data with minimal simulation input. In the data, the muons are removed from reconstructed