A search for $$\text {W}\text {W}$$ production from double-parton scattering processes using same-charge electron-muon and dimuon events is reported, based on proton-proton collision data collected at a center-of-mass energy of $$13\,\text {TeV} $$. The analyzed data set corresponds to an integrated luminosity of $$77.4{\,\text {fb}^{-1}} $$, collected using the CMS detector at the LHC in 2016 and 2017. Multivariate classifiers are used to discriminate between the signal and the dominant background processes. A maximum likelihood fit is performed to extract the signal cross section. This leads to the first evidence for $$\text {W}\text {W}$$ production via double-parton scattering, with a significance of 3.9 standard deviations. The measured inclusive cross section is $$1.41\pm 0.28\,\text {(stat)} \pm 0.28\,\text {(syst)} \,\text {pb} $$.

Evidence for $$\text {W}\text {W}$$ production from double-parton interactions in proton–proton collisions at $$\sqrt{s} = 13 \,\text {TeV} $$

P. Montagna;S. P. Ratti;M. Ressegotti;C. Riccardi;P. Salvini;I. Vai;P. Vitulo;
2020-01-01

Abstract

A search for $$\text {W}\text {W}$$ production from double-parton scattering processes using same-charge electron-muon and dimuon events is reported, based on proton-proton collision data collected at a center-of-mass energy of $$13\,\text {TeV} $$. The analyzed data set corresponds to an integrated luminosity of $$77.4{\,\text {fb}^{-1}} $$, collected using the CMS detector at the LHC in 2016 and 2017. Multivariate classifiers are used to discriminate between the signal and the dominant background processes. A maximum likelihood fit is performed to extract the signal cross section. This leads to the first evidence for $$\text {W}\text {W}$$ production via double-parton scattering, with a significance of 3.9 standard deviations. The measured inclusive cross section is $$1.41\pm 0.28\,\text {(stat)} \pm 0.28\,\text {(syst)} \,\text {pb} $$.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11571/1488451
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