activity
20232026
most citedMeasurement of energy correlators inside jets and determination of the strong coupling

41 citations · 190 across the 33 of their papers we have counts for

collaborators
Showing 2025Show all

6 papers · 1 filter

hep-ex2025

Search for a new neutral gauge boson produced in association with one or two b jets and decaying into a pair of muons in proton-proton collisions at = 13 TeV

CMS Collaboration

A search for a new neutral gauge boson, Z', produced in association with one or two jets, including at least one b jet, and decaying into a pair of muons is presented. The analysis…

hep-ex2025★ 1 cited

Search for resonances decaying to an anomalous jet and a Higgs boson in proton-proton collisions at = 13 TeV

CMS Collaboration

This paper presents a search for new physics through the process where a new massive particle, X, decays into a Higgs boson and a second particle, Y. The Higgs boson subsequently d…

hep-ex2025

Search for a Higgs boson produced in association with a charm quark and decaying to a W boson pair in proton-proton collisions at = 13 TeV

CMS Collaboration

This paper presents a search for a Higgs boson produced in association with a charm quark (cH) which allows to probe the Higgs-charm Yukawa coupling strength modifier $κ_\mathrm{c}…

hep-ex2025★ 22 cited

Determination of the spin and parity of all-charm tetraquarks

CMS Collaboration

The traditional quark model accounts for the existence of baryons, such as protons and neutrons, which consist of three quarks, as well as mesons, composed of a quark-antiquark pai…

hep-ex2025★ 1 cited

Search for the rare decay D in proton-proton collisions at = 13.6 TeV

CMS Collaboration

A search for the rare decay D is reported using proton-proton collision events at = 13.6 TeV collected by the CMS detector in 20222023, correspondi…

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…