activity
20212025
most citedSearch for invisible decays of the Higgs boson produced via vector boson fusion in proton-proton collisions at 13 TeV

77 citations · 203 across the 11 of their papers we have counts for

collaborators
Showing 2024Show all

6 papers · 1 filter

nucl-ex2024★ 8 cited

Measurement of light-by-light scattering and the Breit-Wheeler process, and search for axion-like particles in ultraperipheral PbPb collisions at = 5.02 TeV

CMS Collaboration

Measurements of light-by-light scattering (LbL, ) and the Breit-Wheeler process (BW, ) are reported in ultraperipheral PbPb collisions at…

physics.ins-det2024★ 42 cited

Performance of the CMS high-level trigger during LHC Run 2

CMS Collaboration

The CERN LHC provided proton and heavy ion collisions during its Run 2 operation period from 2015 to 2018. Proton-proton collisions reached a peak instantaneous luminosity of 2.1 $…

hep-ex2024

Proton reconstruction with the TOTEM Roman pot detectors for high- LHC data

CMS Collaboration, TOTEM Collaboration

The TOTEM Roman pot detectors are used to reconstruct the transverse momentum of scattered protons and to estimate the transverse location of the primary interaction. This paper pr…

hep-ex2024★ 6 cited

Measurement of the polarizations of prompt and non-prompt J/ and (2S) mesons produced in pp collisions at = 13 TeV

CMS Collaboration

The polarizations of prompt and non-prompt J and (2S) mesons are measured in proton-proton collisions at = 13 TeV, using data samples collected by the CMS experim…

hep-ex2024★ 33 cited

Dark sector searches with the CMS experiment

CMS Collaboration

Astrophysical observations provide compelling evidence for gravitationally interacting dark matter in the universe that cannot be explained by the standard model of particle physic…

hep-ex2024★ 3 cited

Search for new resonances decaying to pairs of merged diphotons in proton-proton collisions at = 13 TeV

CMS Collaboration

A search is presented for an extended Higgs sector with two new particles, X and , in the process X . Novel neural networks classify events with dipho…