Abstract
A measurement of inclusive four-jet production in proton-proton collisions at a center-of-mass energy of 13 TeV is presented. The transverse momenta of jets within |η| < 4.7 are required to exceed 35, 30, 25, and 20 GeV for the first-, second-, third-, and fourth-leading jet, respectively. Differential cross sections are measured as functions of the jet transverse momentum, jet pseudorapidity, and several other observables that describe the angular correlations between the jets. The measured distributions show sensitivity to different aspects of the underlying event, parton shower modeling, and matrix element calculations. In particular, the interplay between angular correlations caused by parton shower and double-parton scattering contributions is shown to be important. The double-parton scattering contribution is extracted by means of a template fit to the data, using distributions for single-parton scattering obtained from Monte Carlo event generators and a double-parton scattering distribution constructed from inclusive single-jet events in data. The effective double-parton scattering cross section is calculated and discussed in view of previous measurements and of its dependence on the models used to describe the single- parton scattering background.
Highlights
States with multiple jets are not as well understood [4], suggesting a need for additional theoretical treatments of the strong interaction
The doubleparton scattering contribution is extracted by means of a template fit to the data, using distributions for single-parton scattering obtained from Monte Carlo event generators and a double-parton scattering distribution constructed from inclusive single-jet events in data
When the two softest jets originate from a double-parton scattering (DPS) process, they are more likely to be in a back-to-back configuration rendering the value for ∆pT,Soft small
Summary
Six observables are defined to study DPS in four-jet production processes. Many of these variables have been used in earlier measurements [4, 6,7,8,9,10,11,12,13,14, 16,17,18,19,20, 23,24,25,26] and in phenomeno-. In DPS, at least two out of three jets are more likely to be in a back-to-back configuration, while SPS processes have a more random distribution in their azimuthal angular difference. Since the jets with the largest η separation are more likely to be produced in separate DPS subprocesses, a decorrelation in the distribution of the azimuthal angular difference of these jets is expected, whereas the jets will show stronger correlations in a SPS event. When the two softest jets originate from a DPS process, they are more likely to be in a back-to-back configuration rendering the value for ∆pT,Soft small. In a SPS process, the four jets must balance so that the ∆S distribution peaks around π, while in DPS the two jet pairs are more likely to be independently produced, yielding a less correlated ∆S distribution. We anticipate that DPS events tend toward lower values of ∆S
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