8 citations · 17 across the 9 of their papers we have counts for
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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…
Search for charged-lepton flavour violation in top quark interactions with an up-type quark, a muon, and a lepton in proton-proton collisions at = 13 TeV
CMS Collaboration
A search for charged-lepton flavour violation (CLFV) in top quark (t) production and decay is presented. The search uses proton-proton collision data corresponding to 138 fb…
Measurement of Kaon Directed Flow in Au+Au Collisions in the High Baryon Density Region
STAR Collaboration, B. E. Aboona, J. Adam +360
Rapidity-odd directed flow measurements are presented for and in AuAu collisions at = 3.0, 3.2, 3.5, and 3.9 GeV with the STAR exp…
Search for -channel scalar and vector leptoquark exchange in the high-mass dimuon and dielectron spectra in proton-proton collisions at = 13 TeV
CMS Collaboration
A search for -channel exchange of leptoquarks (LQs) is performed in dimuon and dielectron spectra using proton-proton collision data collected at = 13 TeV with the CM…
Search for new physics in jet multiplicity patterns of multilepton events at = 13 TeV
CMS Collaboration
A first search for beyond the standard model physics in jet multiplicity patterns of multilepton events is presented, using a data sample corresponding to an integrated luminosity…
Observation of the charged-particle multiplicity dependence of in pPb collisions at 8.16 TeV
CMS Collaboration
Bound states of charm and anticharm quarks, known as charmonia, have a rich spectroscopic structure that can be used to probe the dynamics of hadron production in high-energy hadro…
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…