October 4, :33 ws-rv9x6 Book Title main page 1. Chapter 1. Measurement of Minimum Bias Observables with ATLAS

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October 4, 2018 3:33 ws-rv9x6 Book Title main page 1 Chapter 1 Measurement of Minimum Bias Observables with ATLAS arxiv:1706.06151v2 [hep-ex] 23 Jun 2017 Jiri Kvita Joint Laboratory for Optics, Palacky University 17. listopadu 50A, 772 07 Olomouc, Czech Republic, jiri.kvita@upol.cz The modelling of minimum bias interactions is a crucial ingredient to learn about the description of soft QCD processes. It has also a significant relevance for the simulation of the environment at the LHC with many concurrent pp interactions (pileup). The ATLAS collaboration has provided new measurements of the inclusive charged-particle multiplicity and its dependence on transverse momentum and pseudorapidity in special data sets with low LHC beam currents, recorded at center of mass energies of 8 TeV and 13 TeV. The measurements use charged-particle selections with minimum transverse momentum of both 100 MeV and 500 MeV, and various phase-space regions characterized by low and high charged-particle multiplicities. 1. Introduction Measurements of charged-particle multiplicities are an important input for pile-up modelling in pp collisions and a handle on multi-parton interactions at the LHC. Such measurements provide insight into many aspects of non-perturbative quantum chromodynamics (QCD) in hadron collisions. Measurements of observables sensitive to the modelling of minimum bias (MB) processes at several centre-of-mass energies test models predictions up to O(10) TeV scales, providing also a connection to cosmic ray physic. On behalf of the ATLAS collaboration. Palacky University in Olomouc, Czech Republic. 1

October 4, 2018 3:33 ws-rv9x6 Book Title main page 2 2 J. Kvita 2. ATLAS Inner Detector The ATLAS experiment 2 at the LHC 9 is a multi-purpose detector recording events in proton-proton collisions. It consists of several sub-systems focusing on particles tracking, calorimetry and identification. Most importantly for the presented results, charged particles are reconstructed by a set of silicon pixel and strip, and transition radiation detectors, 1 providing the transverse momentum measurement, excellent position and vertex resolution and particle identification capabilities, enabling the discrimination between primary and secondary particles created in interactions in material or via decays. An additional layer of pixel detectors was inserted for 13 TeV collisions, called the Insertable b-layer (IBL), 3 allowed by a novel reducedradius beam pipe, which is important for b-tagging and vertex resolution, with a reduced pixel size of 50 250 µm. 3. Sample and Event Selection Minimum-bias trigger scintillators (MBTS) detectors consist of two octants connected to photomultipliers, covering a rapidity range from 2.1 to 3.8, which are highly efficient and radiation-hard. Special LHC fills at low pile-up were used. The recorded data include contributions from singleand double-diffractive processes as well as non-diffractive, which populate different rapidity and particle multiplicity regions. 4. Observables All analyses presented here at 8 and 13 TeV centre-of-mass energy of the LHC measure the following spectra: charged-particles multiplicity (n ch ) as function of rapidity (η) and transverse momentum (p T ) of the leading track, and the tracks average transverse momentum in bins of n ch. All distributions are corrected (unfolded) to stable-particles level, where a stable particle means its lifetime τ > 300 ps (i.e. cτ > 9 cm), thus including decay products of particles with τ < 30 ps (i.e. cτ < 9 mm). Newly, particles with 30 < τ < 300 ps are excluded as these are mostly charged strange ATLAS uses a right-handed coordinate system with its origin at the nominal interaction point (IP) in the centre of the detector and the z-axis along the beam pipe. The x- axis points from the IP to the centre of the LHC ring, and the y-axis points upward. Cylindrical coordinates (r,φ) are used in the transverse plane, φ being the azimuthal angle around the beam pipe. The pseudorapidity is defined in terms of the polar angle θ as η = ln tan(θ/2).

October 4, 2018 3:33 ws-rv9x6 Book Title main page 3 Measurement of Minimum Bias Observables with ATLAS 3 baryons with a low (0.3%) reconstruction efficiency due to their late decay and fewer hits in silicon detectors. Inconsistencies in their description among models also yields a larger systematics uncertainty. 5. Selection 5.1. Vertex Selection The primary vertex (PV) is required to be formed by at least two tracks of p T > 100 MeV. Events are vetoed if another PV is reconstructed from four or more tracks. Events with an additional PV reconstructed from three or two tracks are kept as such are often a split PV or a secondary vertex reconstructed as a PV. 5.2. Tracks Selection and Efficiency Tracks within η < 2.5 and the transverse impact parameter (d 0 ) fulfilling d 0 < 1.5 mm are considered, with additional hit requirements in pixel and strip detectors. Further track quality requirements are imposed, including a requirement on a good χ 2 for high-p T tracks, and a hit in the first silicon layer if expected. Last, at least one track is required for the p T > 500 MeV analysis while 2 track are required for the p T > 100 MeV analysis. 6. Data Corrections Data events are weighted in order to compensate for the decrease in the event yield due to finite trigger and vertex efficiencies. Each selected track is weighted to compensate for finite tracking efficiency and the expected fraction of background from non-prompt particles and strange baryons (predicted by EPOS); and for the finite efficiency of tracks to be reconstructed from out-of-kinematic region. A Bayesian unfolding 8 is applied to correct the measured distributions at the detector level to those at the stale-particles level. With respect to the 7 TeV results, the novel 8 TeV measurements rely on a new tracking algorithm and better material description, leading to smaller systematic uncertainties. In addition, more fiducial regions of particles multiplicities are presented, with more modelsconstraining results.

October 4, 2018 3:33 ws-rv9x6 Book Title main page 4 4 J. Kvita 7. Systematic uncertainties Systematic variations of different modelling assumptions affect the corrections applied to the data distributions. Scaling by the trigger, tracking and vertexing efficiencies affects distributions before the unfolding, and the uncertainties on the corresponding scale factors need to be propagated. Different shapes of particles spectra in data and simulation lead to a different efficiency, being a 2% effect on average and utmost 5% in high multiplicities. Material description in simulation amounts to about a 5% uncertainty at 8 TeV. Secondaries fraction scaling between data and MC is a minor source due to low background levels. Particles composition affects efficiency dependence on the particle type and is a 1% effect. Other minor sources of uncertainties include the momentum resolution which is negligible except on p T spectra, and unfolding non-closure (1%). 8. Results In this contribution we will describe the 8 and 13 TeV results, referring reader to reference 4 for 0.9, 2.36 and 7 TeV results. 8.1. 8 TeV Results For the 8 TeV results 6 with the p T > 500 MeV track requirement in the n ch 1 phase space, the data set of 9M events, corresponding to the integrated luminosity of 160 µb 1, uses track impact parameters reconstructed w.r.t. beam spot (BS). It is found that the per-event charge-particles multiplicity is best described by the EPOS generator. All generators describe the η shape well while the QGSJET generator does not describe the p T dependence, and also deviates at large multiplicities. It is worth noticing that the Pythia8 A2 tune is derived based on the 7 TeV data while Pythia8 Monash is a more general-purpose tune including SPS and Tevatron data. Additional phase spaces of different charged-particles multiplicities of n ch 2, n ch 6, n ch 20, n ch 50 were also studied, with a very good agreement to the Pythia8 Monash tune but also to EPOS and less of the Pythia A2 tune while the QGSJET generator fails to describe the data. In addition, an analysis with the p T > 100 MeV track requirement with n ch 2 was also performed by ATLAS, showing that all generators differ at forward rapidities, though within systematic uncertainties. In detail,

October 4, 2018 3:33 ws-rv9x6 Book Title main page 5 Measurement of Minimum Bias Observables with ATLAS 5 Pythia8 A2 tune and the QGSJET generator describe the η shape but fail at overall normalization. Only reasonable p T -dependence description is obtained across models, with the QGSJET generator showing largest deviations. All 8 TeV measurements are systematics-limited in precision. Charged-particles multiplicities as function of p T in the different multiplicity phase-spaces are presented in Figure 1, showing a different level of agreement between models across the phase-spaces. Event-by-event charge-particles multiplicity are best described by the EPOS generator. All generators describe the η dependence while the QGSJET generator does not describe the n ch nor p T dependence while a fair description is found by the Pythia8 A2 tune. 8.2. 13 TeV Results The 13 TeV analysis for tracks with p T > 500 MeV in the n ch 1 phase space 7 is based on 9M events collected in a 170 µb 1 dataset. The background from the beam-halo/gas interactions is negligible while the background from non-primary particles has been carefully evaluated. A scaling factor evaluated in side-bands of the transverse impact parameter distribution was used to scale the secondary-particles fraction in simulation to match the observed yield in data. The secondary-particles yield is then extrapolated to the analysis phase space defined as d 0 < 1.5 mm and their contribution is subtracted from data before unfolding. Figure 2 shows the d 0 distribution with contributions from photon conversions, secondary particles from hadronic interactions in material as well as fake tracks dominating the tails in the transverse impact parameter distribution. In Figures 3 and 4 the charged-particle multiplicities are displayed as function of the leading track p T, η, the charged-particles multiplicity distribution is presented and the average track p T is shown a function of n ch. ATLAS further performed a measurement of charged-particle spectra at 13 TeV for tracks with p T > 100 MeV in the n ch 2 phase space 5 based on 9M events collected in a 151 µb 1 dataset. In Figures 5 and 6 the chargedparticle multiplicities are displayed as function of track p T, η, and the multiplicity distribution and the average track p T are shown as a function of n ch. All generators differ at forward rapidities, though within systematic uncertainties. Pythia8 A2 describes shapes of distributions but fails at overall normalization. The fraction of the diffractive component and thus also the total cross-section are expected to be better described by a future Pythia8 A3 tune. Only reasonable description of the p T -dependence is

October 4, 2018 3:33 ws-rv9x6 Book Title main page 6 6 J. Kvita seen, where the QGSJET generators shows largest deviations. Pythia8 tunes and the EPOS generator perform well for the multiplicity shape. The QGSJET generator fails for p T while the EPOS generator is the best model. All generators fail at low and high n ch. ATLAS presents 13 TeV results also available in the η < 0.8 phase-space to compare to ALICE and CMS results. 9. Conclusions The ATLAS experiment presents a plethora of results on the multiplicity and spectra of charged particles produced in 8 and 13 TeV pp collisions at the LHC. The new measurements provide important and tighter constraints on existing models of soft QCD interactions. New 8 and 13 TeV results are presented, with the additional re-inclusion of strange baryons for comparison to previous measurements. Different levels of agreement to various event generators and their tunes are observed with a fair description of the 13 TeV data by the EPOS generator, and Pythia8 Monash and A2 tunes. However, the data hint of spectra disagreement in forward η while all models fail at small and large multiplicities, the latter partly due to the limited level of precision of the LO generators. In addition, ATLAS also measured charged particles multiplicities per event per unit η in central region at 900 GeV, and 2.36 and 7 TeV. 4 The author acknowledges the financial support from the project IGA no. PrF/2016/002 of Palacky University in Olomouc, Czech Republic. References 1. G. Aad et al. The ATLAS Inner Detector commissioning and calibration. Eur. Phys. J., C70:787 821, 2010. 2. ATLAS Collaboration. The atlas experiment at the cern large hadron collider. Journal of Instrumentation, 3(08):S08003, 2008. 3. ATLAS Collaboration. ATLAS Insertable B-Layer Technical Design Report. ATLAS-TDR-19, CERN-LHCC-2010-013, https: // cdsweb. cern. ch/ record/ 1291633, 2010. 4. ATLAS Collaboration. Charged-particle multiplicities in pp interactions measured with the ATLAS detector at the LHC. New J. Phys., 13:053033, 2011. 5. ATLAS Collaboration. Charged-particle distributions at low transverse momentum in s = 13 TeV pp interactions measured with the ATLAS detector at the LHC. Eur. Phys. J., C76(9):502, 2016.

October 4, 2018 3:33 ws-rv9x6 Book Title main page 7 Measurement of Minimum Bias Observables with ATLAS 7 6. ATLAS Collaboration. Charged-particle distributions in pp interactions at s = 8 TeV measured with the ATLAS detector. Eur. Phys. J., C76(7):403, 2016. 7. ATLAS Collaboration. Charged-particle distributions in s = 13 TeV pp interactions measured with the ATLAS detector at the LHC. Phys. Lett., B758:67 88, 2016. 8. G. D Agostini. A Multidimensional unfolding method based on Bayes theorem. Nucl. Instrum. Meth., A362:487 498, 1995. 9. Lyndon Evans and Philip Bryant (editors). Lhc machine. Journal of Instrumentation, 3(08):S08001, 2008.

October 4, 2018 3:33 ws-rv9x6 Book Title main page 8 8 J. Kvita (a) (b) (c) (d) Fig. 1. ATLAS results 6 on the charged-particles multiplicities as function of the leading track transverse momentum in different p T and n ch regions in 8 TeV pp collisions: (a) n ch 2 with p T > 100 MeV; and (b) n ch 6, (c) n ch 20 and (d) n ch 50 with p T > 500 MeV.

October 4, 2018 3:33 ws-rv9x6 Book Title main page 9 Measurement of Minimum Bias Observables with ATLAS 9 (a) (b) Fig. 2. The transverse impact parameter of tracks, defined w.r.t. the beam line (BL) position, in the (a) p T > 500 MeV and (b) p T > 100 MeV analysis in 13 TeV pp collisions. 6,7 (a) (b) Fig. 3. ATLAS results 7 on the (a) η and (b) p T spectra of charged particles in 13 TeV pp collisions in the p T > 500 MeV and n ch 2 phase space in 13 TeV pp collisions.

October 4, 2018 3:33 ws-rv9x6 Book Title main page 10 10 J. Kvita (a) (b) Fig. 4. ATLAS results 7 on the (a) charged-particle multiplicity and the (b) average track p T as function of n ch in 13 TeV pp collisions in the p T > 500 MeV and n ch 1 phase space in 13 TeV pp collisions.

October 4, 2018 3:33 ws-rv9x6 Book Title main page 11 Measurement of Minimum Bias Observables with ATLAS 11 (a) (b) Fig. 5. ATLAS results 5 on the (a) η and (b) p T spectra of charged-particles in 13 TeV pp collisions in the p T > 100 MeV and n ch 2 phase space in 13 TeV pp collisions.

October 4, 2018 3:33 ws-rv9x6 Book Title main page 12 12 J. Kvita (a) (b) Fig. 6. ATLAS results 5 on the (a) charged-particle multiplicity and the (b) average track p T as function of n ch in 13 TeV pp collisions in the p T > 100 MeV and n ch 2 phase space in 13 TeV pp collisions.