Abstract
Measurements are reported of differential cross sections for the production of a W boson, which decays into a muon and a neutrino, in association with jets, as a function of several variables, including the transverse momenta (pT) and pseudorapidities of the four leading jets, the scalar sum of jet transverse momenta (HT), and the difference in azimuthal angle between the directions of each jet and the muon. The data sample of pp collisions at a centre-of-mass energy of 7 TeV was collected with the CMS detector at the LHC and corresponds to an integrated luminosity of 5.0 fb−1. The measured cross sections are compared to predictions from Monte Carlo generators, MadGraph+pythia and sherpa, and to next-to-leading-order calculations from BlackHat+sherpa. The differential cross sections are found to be in agreement with the predictions, apart from the pT distributions of the leading jets at high pT values, the distributions of the HT at high-HT and low jet multiplicity, and the distribution of the difference in azimuthal angle between the leading jet and the muon at low values.
Highlights
This letter reports measurements of fiducial cross sections for W boson production in association with jets at the LHC
The measured W + jets cross sections are compared to the predictions from several generators
We consider W + jets signal processes generated with MadGraph 5.1.1 using the CTEQ6L1 parton distribution functions (PDF) set, with sherpa 1.4.0 using the CT10 [45,46] PDF set, and with BlackHat + sherpa [17] using the CT10 PDF set
Summary
The measurements presented in this letter use pro√ton–proton (pp) collision data at a centre-of-mass energy of s = 7 TeV recorded with the CMS detector at the LHC in 2011 and correspond to an integrated luminosity of 5.0 ± 0.1 fb−1 [3] In order to perform a differential measurement of the W + jets cross section, a high-purity sample of W → μν events is selected and the kinematic distributions are corrected to the particle level by means of regularised unfolding [10] This procedure corrects a measured observable for the effects of detector response, finite experimental resolutions, acceptance, and efficiencies, and allows for direct comparison with theoretical predictions.
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