most citedObservation of suppressed charged-particle production in ultrarelativistic oxygen-oxygen collisions

5 citations · 8 across the 6 of their papers we have counts for

collaborators

6 papers

nucl-ex2025★ 5 cited

Observation of suppressed charged-particle production in ultrarelativistic oxygen-oxygen collisions

CMS Collaboration

A hot and dense state of nuclear matter, known as the quark-gluon plasma, is created in collisions of ultrarelativistic heavy nuclei. Highly energetic quarks and gluons, collective…

hep-ex2025★ 1 cited

Vector boson scattering and anomalous quartic couplings in final states with qq or qq plus jets using proton-proton collisions at = 13 TeV

CMS Collaboration

A measurement is presented of the electroweak vector boson scattering production of ZV (V = W, Z) boson pairs associated with two jets in proton-proton collisions at a center-of-ma…

hep-ex2025

DeepMET: Improving missing transverse momentum estimation with a deep neural network

CMS Collaboration

At hadron colliders, the net transverse momentum of particles that do not interact with the detector (missing transverse momentum, ) is a crucial ob…

hep-ex2025★ 1 cited

A method for correcting the substructure of multiprong jets using the Lund jet plane

CMS Collaboration

Many analyses at the CERN LHC exploit the substructure of jets to identify heavy resonances produced with high momenta that decay into multiple quarks and/or gluons. This paper pre…

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…