activity
20192025
most citedMeasurements of the Higgs boson width and anomalous HVV couplings from on-shell and off-shell production in the four-lepton final state

164 citations · 337 across the 15 of their papers we have counts for

collaborators

15 papers

hep-ex2025

Inclusive and differential measurements of the cross section and the / cross section ratio in proton-proton collisions at = 13 TeV

CMS Collaboration

Inclusive and differential cross section measurements of top quark pair () production in association with a photon () are performed as a function of lepton, p…

nucl-ex2025

Characterizing the initial state and dynamical evolution in XeXe and PbPb collisions using multiparticle cumulants

CMS Collaboration

For the first time, correlations among mixed-order moments of two or three flow harmonics() and (), with , , and d…

hep-ex2025

Probing the flavour structure of dimension-6 EFT operators in multilepton final states in proton-proton collisions at = 13 TeV

CMS Collaboration

An analysis of the flavour structure of dimension-6 effective field theory (EFT) operators in multilepton final states is presented, focusing on the interactions of quarks with Z b…

hep-ex2025★ 1 cited

Combination and interpretation of differential Higgs boson production cross sections in proton-proton collisions at = 13 TeV

CMS Collaboration

Precision measurements of Higgs boson differential production cross sections are a key tool to probe the properties of the Higgs boson and test the standard model. New physics can…

hep-ex2025

Combined effective field theory interpretation of Higgs boson, electroweak vector boson, top quark, and multi-jet measurements

CMS Collaboration

Constraints on Wilson coefficients (WCs) corresponding to dimension-six operators of the standard model effective field theory (SMEFT) are determined from a simultaneous fit to sev…

hep-ex2025★ 1 cited

Development of systematic uncertainty-aware neural network trainings for binned-likelihood analyses at the LHC

CMS Collaboration

We propose a neural network training method capable of accounting for the effects of systematic variations of the data model in the training process and describe its extension towa…