108 citations · 972 across the 62 of their papers we have counts for
6 papers · 1 filter
Explaining machine-learned particle-flow reconstruction
Farouk Mokhtar, Raghav Kansal, Daniel Diaz +4
The particle-flow (PF) algorithm is used in general-purpose particle detectors to reconstruct a comprehensive particle-level view of the collision by combining information from dif…
Measurements of the electroweak diboson production cross sections in proton-proton collisions at 5.02 TeV using leptonic decays
CMS Collaboration
The first measurements of diboson production cross sections in proton-proton interactions at a center-of-mass energy of 5.02 TeV are reported. They are based on data collected with…
Measurements of production cross sections of the Higgs boson in the four-lepton final state in proton-proton collisions at 13 TeV
CMS Collaboration
Production cross sections of the Higgs boson are measured in the H ZZ ( e, ) decay channel. A data sample of proton-proton collisions at a center-o…
Observation of a new excited beauty strange baryon decaying to
CMS Collaboration
The invariant mass spectrum is investigated with an event sample of proton-proton collisions at 13 TeV, collected by the CMS experiment at th…
Measurement of the W production cross section in proton-proton collisions at 13 TeV and constraints on effective field theory coefficients
CMS Collaboration
A fiducial cross section for W production in proton-proton collisions is measured at a center-of-mass energy of 13 TeV in 137 fb of data collected using the CMS detector…
MLPF: Efficient machine-learned particle-flow reconstruction using graph neural networks
Joosep Pata, Javier Duarte, Jean-Roch Vlimant +2
In general-purpose particle detectors, the particle-flow algorithm may be used to reconstruct a comprehensive particle-level view of the event by combining information from the cal…