Measurement of the Underlying Event Activity at the LHC with √ s = 7 TeV and Comparison with √ s = 0 . 9 TeV

A measurement of the underlying activity in scattering processes with a hard scale in the several GeV region is performed in proton-proton collisions at √ s = 0.9 and 7 TeV, using data collected by the CMS experiment at the LHC. The production of charged particles with pseudorapidity |η| < 2 and transverse momentum pT > 0.5 GeV/c is studied in the azimuthal region transverse to that of the leading set of charged particles forming a track-jet. A significant growth of the average multiplicity and scalar-pT sum of the particles in the transverse region is observed with increasing pT of the leading track-jet, followed by a much slower rise above a few GeV/c. For track-jet pT larger than a few GeV/c, the activity in the transverse region is approximately doubled with a centre-of-mass energy increase from 0.9 to 7 TeV. Predictions of several QCD-inspired models as implemented in PYTHIA are compared to the data. Submitted to the Journal of High Energy Physics ∗See Appendix A for the list of collaboration members ar X iv :1 10 7. 03 30 v1 [ he pex ] 1 J ul 2 01 1


Introduction
In hadron-hadron scatterings, the "underlying event" (UE) is defined, in the presence of a hard parton-parton scattering with large transverse momentum transfer, as any hadronic activity that is additional to what can be attributed to the hadronization of partons involved in the hard scatter and to related initial and final state QCD radiation. The UE activity is thus attributed to the hadronization of partonic constituents that have undergone multiple parton interactions (MPI), as well as to beam-beam remnants, concentrated along the beam direction. Good understanding of UE properties is important for precision measurements of standard model processes and the search for new physics at high energy. Examples are the determination of the losses of events due to isolation criteria in lepton identification, or the computation of reconstruction efficiency for processes like H→ γγ where the vertex is given by the underlying event.
The first measurement of UE activity at the LHC, with proton-proton centre-of-mass energy √ s = 0.9 TeV, has been published by CMS [1]. The present paper, which follows the same analysis procedure, reports on a measurement at √ s = 7 TeV; new measurements at 0.9 TeV are also reported, with an event sample 30 times larger than that in Ref. [1]. In this paper all measurements are fully corrected for detector effects. Details are given below. The ATLAS collaboration has reported on measurements at √ s = 0.9 and 7 TeV [2], using slightly different analysis procedures.
The UE activity at a given centre-of-mass energy is expected to increase with the hard scale in the interaction. Events with a harder scale are indeed expected to correspond, on average, to interactions with a smaller impact parameter, a feature which in turn should enhance MPI [3,4]. This increased activity is observed to reach a plateau for high scales, corresponding to an MPI "saturation" effect for impact parameters selected by a sufficiently hard leading interaction. Conversely, for events with the same hard scale but taken at different values of the centre-ofmass energy, MPI activity is expected to increase with √ s [3,4]. The present analysis is focused on measurements that can contribute to the understanding of the UE dynamics, through the comparison of events at the same √ s but with different hard scales, and the comparison of data with the same hard scale but with different values of √ s.
To study the UE, it is convenient to refer to the difference in azimuthal angle, ∆φ, between the projections onto the plane perpendicular to the beam of the directions of the hard scatter and of any hadron in the event. With this method, the UE activity is made manifest in the "transverse" region with 60 • < |∆φ| < 120 • , even though it cannot in principle be uniquely separated from initial and final state radiation. In this paper, the direction of the hard scatter is identified with that of the leading "track-jet", i.e. the object with largest transverse momentum, p T , formed using a jet algorithm applied to reconstructed tracks of particles above some minimum p T value in the event. The leading track-jet p T is taken as defining the hard scale in the event. An advantage of using a track-jet as a reference is that it is an experimentally well-defined object, essentially free from pileup effects. No attempt is made to refer to the corresponding partonlevel objects, as this would result in additional model uncertainties. However, the track-jet is much closer to the parton-level object than the leading track. Finally, in the few GeV/c region, the value of the track-jet p T is better defined and more stable than for calorimeter based jets, which suffer from large fluctuations.
The outline of the paper is as follows. Section 2 presents experimental details: brief detector description, data samples, event and track selection, track-jet reconstruction, unfolding procedure and systematic uncertainties. Section 3 presents results on the transverse region dynamics: hard-scale dependence and particle spectra at √ s = 7 TeV, and centre-of-mass energy dependence of the transverse region dynamics. Section 4 summarizes the main results of the study and draws conclusions.

Experimental Details
A description of the CMS detector can be found in Ref. [19]. The coordinate system has the origin at the nominal interaction point. The z axis is parallel to the anticlockwise beam direction; it defines the polar angle θ and the pseudorapidity η = − ln(tan(θ/2)). The azimuthal angle φ is measured in the plane transverse to the beam, from the direction pointing to the centre of the LHC ring toward the upward direction. The pixel and silicon strip tracker, immersed in the uniform 3.8 T magnetic field provided by a 6 m diameter superconducting solenoid, measures charged particle trajectories in the pseudorapidity range |η| < 2.5. The p T resolution for 1 GeV/c charged particles is between 0.7% at η = 0 and 2% at |η| = 2.5.
For this analysis, the same selection conditions apply to events and tracks at 0.9 and 7 TeV; these conditions are very similar to those at 0.9 TeV in Ref. [1]. Minimum bias events are triggered by requiring activity in both Beam Scintillator Counters (BSC) [19,20], in coincidence with signals from both beams in the Beam Pick-up Timing for eXperiments (BPTX) devices [19,21]; low-p T track-jets are recorded with a prescaled minimum bias trigger. At 7 TeV, in order to enhance the acquisition of events with a harder scale and reduce statistical fluctuations, the analysis also uses single-jet triggers.
Selected events are required to contain one and only one primary vertex, reconstructed in fits with more than four degrees of freedom, with a z coordinate within 10 cm of the centre of the 4 cm-wide beam collision region. Rejecting events with more than one primary vertex does not bias the final results, as was checked by comparing data with different pileup conditions, taken Selected events are also required to contain a track-jet with p T > 1 GeV/c, reconstructed with pseudorapidity |η| < 2. Track-jets are defined using the SISCone algorithm [22] as implemented in the FastJet package [23] with a clustering radius R = (∆φ) 2 + (∆η) 2 = 0.5. Charged particles reconstructed in the tracker with p T > 0.5 GeV/c and |η| < 2.5 are used to define the track-jet; this η range is wider than that used for the UE analysis (|η| < 2) in order to avoid a kinematic bias.
A track is selected for the UE analysis if it is consistent with the primary vertex and is reconstructed in the pixel and silicon strip tracker with transverse momentum p T > 0.5 GeV/c and pseudorapidity |η| < 2. A high-purity reconstruction algorithm is used, which keeps low levels of misreconstructed and poorly reconstructed tracks [24]. To decrease contamination by secondary tracks from decays of long-lived particles and photon conversions, the distance of closest approach between the track and the primary vertex is required to be less than three times its (significantly non-Gaussian) estimated uncertainty, both in the transverse plane and along the z-axis; the uncertainty in the vertex position is also taken into account. Poorly measured tracks are removed by requiring σ(p T )/p T < 5%, where σ(p T ) is the uncertainty on the p T measurement. In the selected track sample with |η| < 2, these selections result in a background level of 3% : 1% from K 0 S and Λ 0 decay products and 2% from combinatorial background, as estimated using MC simulations. The number of selected events at both centre-of-mass energies, for track-jet p T > 1, 3, and 20 GeV/c, and the corresponding number of selected tracks are given in Table 1.
The distributions presented below are fully corrected for detector effects. An iterative unfolding technique [25] is used, except for some cases that will be detailed below. The PYTHIA6 MC with Z2 tune was used to correct the experimental distributions, while Z1, D6T and the default configuration of PYTHIA 8.135 ("tune 1") were used for cross-checks and systematic uncertainty estimates. The detector response was simulated in detail using the GEANT4 package [26], and simulated events were processed and reconstructed in the same manner as collision data. The simulations were found to give a very good description of all features related to detector performance that are relevant to this analysis. The unfolding procedure was tested using MC events, by comparing the genuine distributions for generated hadrons with the distributions obtained, after unfolding, from reconstructed tracks.
Systematic uncertainties on the corrected data have been studied in detail. They correspond essentially to the uncertainties described in [1] taking into account the progress reported in Ref. [24]. They include the implementation in the simulation of vertex and track selection criteria, tracker alignment and tracker material content, background contamination from K 0 S and Λ 0 production, trigger conditions, run-to-run variations of tracker and beam conditions, including the effect of pileup, and the effect of limited samples.
Using as MC input the Z1 simulation, which gives the best description of data, unfolding pro-cedures were performed using both the Z2 and tune 1 models; the maximum discrepancies with the MC input were taken as systematic uncertainties.
Systematic uncertainties are largely independent of one another, but they are correlated among data points in each experimental distribution. They are added in quadrature to statistical uncertainties and represented in all figures.

Underlying Event in the Transverse Region
The hadronic activity at 7 TeV in the transverse region, for charged particles with p T > 0.5 GeV/c, |η| < 2, and 60 • < |∆φ| < 120 • , is first presented as a function of the leading track-jet p T (Section 3.1). Multiplicity and transverse momentum distributions are then reported for two minimal values, 3 and 20 GeV/c, of the leading track-jet p T (Section 3.2). Results at the two centre-of-mass energies, √ s = 0.9 and 7 TeV, are finally compared (Section 3.3). Predictions from the various PYTHIA models are compared to the corrected data.   Figure 1: Fully corrected measurements of charged particles with p T > 0.5 GeV/c and |η| < 2 in the transverse region, 60 • < |∆φ| < 120 • , as a function of the p T of the leading track-jet: (left) average multiplicity per unit of pseudorapidity and per radian; (centre) average scalar ∑ p T per unit of pseudorapidity and per radian; (right) ratio of the average scalar ∑ p T and the average multiplicity. Predictions of three PYTHIA tunes are compared to the data. Figure 1 presents the average multiplicity and the average scalar momentum sum in the transverse region, as a function of the leading track-jet p T . For these distributions, full unfolding was performed in both the track-jet p T and the studied variable, for leading track-jet p T up to 20 GeV/c. Bin-by-bin corrections were used at higher values of the leading track-jet p T where the p T dependence of the studied variables is small.

Hard-scale dependence
The horizontal error bars indicate the bin size; the vertical inner error bars indicate the statistical uncertainties affecting the measurements; the outer error bars represent the statistical and systematic uncertainties added in quadrature; statistical uncertainties dominate at large values of the hard scale. The same conventions and considerations apply throughout this paper.
Two components are visible for both observables in Fig. 1: a fast rise for p T ∼ < 8 GeV/c, attributed mainly to the increase of MPI activity, followed by a plateau-like region with nearly constant average number of selected particles and a slow increase of Σp T . A similar structure is observed at 0.9 TeV (see Ref. [1] and Fig. 5 below), the fast rise being limited in that case to the region with leading track-jet p T ∼ < 4 GeV/c. All PYTHIA models predict such a distinct change of the amount of activity in the transverse region as a function of the leading track-jet p T .
These evolutions result in a slow but continuous increase of the average p T of the selected particles for leading track-jet p T above a few GeV/c. This is observed in Fig. 1 (right plot), which is obtained from the ratio of the two profile distributions, with the relative uncertainties conservatively summed in quadrature. (A similar behaviour of the ratio can be deduced at 0.9 TeV).
[  Figure 2: Ratios, as a function of the leading track-jet p T , of three MC predictions to the fully corrected measurements of charged particles with p T > 0.5 GeV/c and |η| < 2 in the transverse region, 60 • < |∆φ| < 120 • (cf. Fig. 1): (left) average multiplicity; (centre) average scalar ∑ p T ; (right) ratio of the average scalar ∑ p T and the average multiplicity. The inner bands correspond to the systematic uncertainties and the outer bands to the total experimental uncertainties (statistical and systematic uncertainties added in quadrature).
The information on the quality of the data description by the different models is summarized in Fig. 2, which presents the ratio of the MC predictions to the measurements for the observables shown in Fig. 1. Statistical fluctuations in the data induce correlated fluctuations for the various MC/data ratios. Variations in the error bands are related to the unfolding procedures, and to the different sets of data collected with different triggers.
The description provided by Z1 is very good for both the average multiplicity and the average scalar momentum sum, over the full leading track-jet p T range. For the PYTHIA8 4C tune, in the region with track-jet p T < 20 GeV/c the predictions are below the data by 5% (10%) for the average charged multiplicity (average scalar ∑ p T ); for larger track-jet p T values, the average charged multiplicity is well described but the average ∑ p T is increasingly underestimated, by up to 20%. This confirms observations reported in Ref. [27]. The predictions of the Z2 tune (not shown in this paper) reveal similar trends as for PYTHIA8 4C with, however, a more uniform and more limited underestimate ( ∼ < 10%) of the average ∑ p T .
As illustrated by D6T, the predictions of older PYTHIA6 tunes are significantly below the data in the region characterized by the fast rise of the observables (track-jet p T ∼ < 8 GeV/c); in the "saturation" region, tune D6T provides a good description of the average multiplicity but the average ∑ p T is largely underestimated for track-jet p T > 40 GeV/c. In this region, DW predictions are lower than for D6T, and CW even lower, which reflects the different values of the cutoff transverse momentum and its √ s dependence [1] (CW and the DW predictions are not shown in this paper).
The comparison with data of the MC predictions for the ratio of the average ∑ p T and the average multiplicity is shown in Fig. 2 (right). The absolute value is described within 5% and the hard-scale dependence is well described by Z1. The PYTHIA8 4C and Z2 predictions agree with Z1 in the rising region, but the normalization is up to 10% and 20% lower in the "saturation" region, respectively. For D6T, the ratio is overestimated below 30 GeV/c, and underestimated above 30 GeV/c.  Figure 3: Fully corrected measurements of charged particles with p T > 0.5 GeV/c and |η| < 2 in the transverse region, 60 • < |∆φ| < 120 • : (left) normalized multiplicity distributions; (centre) normalized scalar ∑ p T distributions; (right) particle p T spectra. The leading track-jet is required to have |η| < 2 and (upper row) p T > 3 GeV/c, or (central row) p T > 20 GeV/c. The plots in the lower row provide a direct comparison of the distributions for p T > 3 GeV/c and p T > 20 GeV/c. Predictions of three PYTHIA tunes are compared to the data. Figure 3 presents, for charged particles in the transverse region, the normalized multiplicity distribution, the normalized ∑ p T distribution, and the particle p T spectrum. Events are selected with two minimal values of the leading track-jet p T : p T > 3 GeV/c (upper row) and p T > 20 GeV/c (central row). For the charged multiplicity and ∑ p T distributions, full unfolding was performed for leading track-jet p T > 3 GeV/c, whereas for leading track-jet p T > 20 GeV/c, in the "saturation" region, simpler unfolding is performed, which does not take into account the hard-scale dependence. In the latter case the unfolding procedure is found to occasionally introduce correlations between adjacent bins, which arise from statistical fluctuations in the uncorrected distributions. For the p T spectra presented in the right column of Fig. 3 bin-by-bin corrections were applied. The correction factors are found to be mostly independent of the track-jet p T and from the centre-of-mass energy.

Multiplicity and transverse momentum distributions
The distributions in Fig. 3 are presented for a range of the variables for which the total relative uncertainty, after unfolding, does not exceed 30%. It is remarkable that the charged particle spectra extend to p T > 10 GeV/c, indicating the presence of a hard component in particle production in the transverse region. The distributions for the two scale selections p T > 3 GeV/c and p T > 20 GeV/c are directly compared in the lower-row plots of Fig. 3. Growth of the UE activity with increasing hard scale is observed both through multiplicity increase and single-particle p T spectra hardening, consistent with the increase of particle average p T shown in Fig. 1 (right). The three distributions are overall rather well described by the selected MC models over several orders of magnitude (more than 6 for the p T spectrum).  Figure 4: Ratios of three MC predictions to the fully corrected measurements of charged particles with p T > 0.5 GeV/c and |η| < 2 in the transverse region, 60 • < |∆φ| < 120 • (cf. Fig. 3): (left) multiplicity distributions; (centre) scalar ∑ p T distributions; (right) particle p T spectra. The leading track-jet is required to have |η| < 2 and (upper plots) p T > 3 GeV/c, or (lower plots) p T > 20 GeV/c. The inner bands correspond to the systematic uncertainties and the outer bands to the total experimental uncertainties (statistical and systematic uncertainties added in quadrature).
Detailed comparisons are provided in Fig. 4, which presents the ratio of the MC predictions to the measurements in Fig. 3. In the presence of a hard scale, characterized by a leading trackjet with p T > 20 GeV/c (lower plots in Fig. 4), the Z1, Z2, and PYTHIA8 4C tunes describe the data well in view of the steeply falling character of the distributions. They do indeed describe all three distributions within 10 − 15% over most of the domain, except for PYTHIA8 4C for very small values of N ch and ∑ p T , and for p T > 4 GeV/c. Data description by D6T is worse, especially the ∑ p T distribution and the p T spectrum.
The description of the data in the region with leading track-jet p T > 3 GeV/c (Fig. 3 upper plots), dominated by interactions with a soft scale, is not so good. In this domain, all tunes overestimate the contributions of events with very low multiplicity and ∑ p T (N ch ∼ < 4, ∑ p T ∼ < 4 GeV/c); the discrepancies are largest for D6T. For larger values of the observables, the predictions of Z1, Z2, and PYTHIA8 4C are reasonably close to the data, the weak points being the description by Z1 of multiplicities between 10 and 20, and the description by all tunes of the p T spectrum in the region 3 − 8 GeV/c. For D6T, as well as for DW and CW, the descriptions of the ∑ p T distribution and of the particle p T spectrum are poor.  Figure 5: Fully corrected measurements of charged particles with p T > 0.5 GeV/c and |η| < 2 in the transverse region, 60 • < |∆φ| < 120 • : (left plots) average multiplicity, and (right plots) average scalar ∑ p T , per unit of pseudorapidity and per radian, as a function of the leading track-jet p T , for (upper row) data at √ s = 0.9 TeV and √ s = 7 TeV; (lower row) ratio of the average values at 7 TeV to the average values at 0.9 TeV. Predictions of three PYTHIA tunes are compared to the data.

Centre-of-mass energy dependence
The centre-of-mass energy dependence of the hadronic activity in the transverse region is presented in Fig. 5 (upper plots) as a function of the leading track-jet p T , for √ s = 0.9 and 7 TeV. The same unfolding methodology as for Fig. 1 was applied for the data at √ s = 0.9 TeV, in this case with a separation between the two correction procedures at 10 GeV/c reflecting the narrower rising region. The large increase with √ s of the hadronic activity in the transverse region and its hard-scale dependence is shown in the lower plots of Fig. 5, in the form of the ratio of the 7 TeV to the 0.9 TeV results. Here the systematic uncertainties at 0.9 and 7 TeV were conservatively combined quadratically, thus neglecting cancellation effects. The ratios, which are close to one for leading track-jet p T = 1.5 GeV/c, reach a factor of two for p T ∼ > 6 − 8 GeV/c.
The evolution with the hard scale of the ratio of the UE activity at 7 TeV and 0.9 TeV is described by the Z1 MC. The trend is also reproduced by PYTHIA8 4C. The evolution is much too strong for D6T. The Z2 predictions at √ s = 0.9 TeV (not shown here) agree with Z1 in shape but the normalization is 5-10% too high for both observables; this trend is opposite to that observed at 7 TeV, which indicates that a less pronounced √ s dependence of the transverse momentum cutoff should be adopted for tunes using the CTEQ6L1 PDF set than for tunes optimized for CTEQ5L. The PYTHIA8 tune 4C [15] already implements such a prescription.  Figure 6: For charged particles with p T > 0.5 GeV/c and |η| < 2 in the transverse region, 60 • < |∆φ| < 120 • , (left) normalized multiplicity distributions; (centre) normalized scalar ∑ p T distributions; (right) p T spectra, at √ s = 7 TeV and at √ s = 0.9 TeV. Events with leading track-jet p T > 3 GeV/c are selected. Predictions from tune Z1 are compared to the data.
The strong growth of UE activity with √ s is also striking in the comparison of the normalized distributions of charged particle multiplicity and of scalar ∑ p T as well as in the p T spectra, which are presented in Fig. 6 for events at √ s = 7 TeV and 0.9 TeV with leading track-jet p T > 3 GeV/c. The same unfolding methodology as for Fig. 3 (upper row) was applied at √ s = 0.9 TeV.

Summary and Conclusions
This paper presents a study of the production of charged particles with p T > 0.5 GeV/c and |η| < 2 at the LHC with the CMS detector in proton-proton collisions at √ s = 0.9 and 7 TeV. Events were selected according to the hard scale of the process, provided by the transverse momentum of the leading track-jet, which extends up to 100 GeV/c. The study was done in the transverse region, defined by the difference in azimuthal angle between the leading track-jet and charged particle directions, 60 • < |∆φ| < 120 • , which is appropriate for the study of the underlying event. All distributions were fully corrected for detector effects.
A strong increase of the UE activity, quantified through the average multiplicity and the average scalar transverse momentum sum of charged particles in the transverse region, is observed with increasing leading track-jet p T . At √ s = 7 TeV this fast rise is followed above ∼ 8 GeV/c by a "saturation" region with nearly constant multiplicity and small ∑ p T increase. The large increase of activity in the transverse region is observed in the multiplicity distribution, in the ∑ p T distribution and in the charged particle p T spectrum, which were studied, respectively, up to N ch = 30, ∑ p T = 35 GeV/c, and p T = 14 GeV/c. The events at the high end of the distributions indicate the presence of a hard component in the transverse region.
By comparing data taken at √ s = 0.9 and 7 TeV, a strong growth with increasing centre-of-mass energy of the hadronic activity in the transverse region is also observed for the same value of the leading track-jet p T .
The predictions of several tunes of the PYTHIA program version 6, in particular the new tunes Z1 and Z2, and of the new version PYTHIA8 with tune 4C have been compared to the measurements. A good description of most distributions at √ s = 7 TeV and of the √ s dependence from 0.9 to 7 TeV is provided by the Z1 tune. The predictions of the Z2 and PYTHIA8 4C tunes are also in reasonable agreement with the data.
We wish to congratulate our colleagues in the CERN accelerator departments for the excellent performance of the LHC machine. We thank the technical and administrative staff at CERN and other CMS institutes, and acknowledge support from: FMSR (Austria); FNRS and FWO (Bel