Measurement of charged jet cross section in pp collisions at ${\sqrt{s}=5.02}$ TeV

TL;DR

This paper measures the charged jet cross section in proton-proton collisions at 5.02 TeV, compares results with pQCD calculations, and investigates jet collimation, providing a baseline for heavy-ion collision studies.

Contribution

First measurement of charged jet cross sections at 5.02 TeV with detailed comparison to pQCD, including jet resolution parameter ratios and insights into jet collimation.

Findings

NLO pQCD agrees better with measurements than LO.

Jet cross section ratios increase with pT and saturate at high pT.

Results serve as baseline for heavy-ion collision analysis.

Abstract

The cross section of jets reconstructed from charged particles is measured in the transverse momentum range of $5<p_\mathrm{T}<100\ \mathrm{GeV}/c$ in pp collisions at the center-of-mass energy of $\sqrt{s} = 5.02\ \mathrm{TeV}$ with the ALICE detector. The jets are reconstructed using the anti-$k_\mathrm{T}$ algorithm with resolution parameters $R=0.2$, $0.3$, $0.4$, and $0.6$ in the pseudorapidity range $|\eta|< 0.9-R$. The charged jet cross sections are compared with the leading order (LO) and to next-to-leading order (NLO) perturbative Quantum ChromoDynamics (pQCD) calculations. It was found that the NLO calculations agree better with the measurements. The cross section ratios for different resolution parameters were also measured. These ratios increase from low $p_\mathrm{T}$ to high $p_\mathrm{T}$ and saturate at high $p_\mathrm{T}$, indicating that jet collimation is larger at high $p_\mathrm{T}$ than at low $p_\mathrm{T}$. These results provide a precision test of pQCD predictions and serve as a baseline for the measurement in Pb$-$Pb collisions at the same energy to quantify the effects of the hot and dense medium created in heavy-ion collisions at the LHC.

Figures

Tables

Table 1. Table 1: Summary of the systematic uncertainties for a selection of jet transverse momentum bins.

Jet resoultion parameter	Jet $p_T$ bin (GeV/$c$)	Tracking efficiency (%)	Track $p_T$ resolution (%)	Unfolding (%)	Normalization (%)	Secondaries (%)	Total (%)
$R$ = 0.2	5$-$6	1	negligible	1.4	2.3	2.4	3.7
	20$-$25	2.6	negligible	2.3	2.3	2.2	4.7
	40$-$50	5.2	negligible	3.8	2.3	2.5	7.3
	85$-$100	10	negligible	7.8	2.3	2.6	13.1
$R$ = 0.3	5$-$6	1.5	0.1	2.9	2.3	2.2	4.6
	20$-$25	4.1	0.1	3.4	2.3	2.3	6.3
	40$-$50	6.2	0.1	4.3	2.3	2.6	8.3
	85$-$100	8.4	0.1	7.0	2.3	2.7	11.5
$R$ = 0.4	5$-$6	0.9	1.9	1.9	2.3	2.1	4.2
	20$-$25	3.7	1.9	1.8	2.3	2.4	5.6
	40$-$50	5.4	1.9	2.5	2.3	2.5	7.2
	85$-$100	7.5	1.9	4.5	2.3	2.8	9.6
$R$ = 0.6	5$-$6	3.4	1	2.1	2.3	1.9	5.1
	20$-$25	5.7	1	1.7	2.3	2.6	6.9
	40$-$50	6.8	1	2.2	2.3	2.6	8
	85$-$100	8.3	1	4.0	2.3	2.7	9.9

Equations

$$\frac{{\mathrm{d}}^2{\sigma }^{\mathrm{ch}\mathrm{jet}}}{\mathrm{d}{p}_{\mathrm{T}}\mathrm{d}\eta }(p_{\mathrm{T}}^{\mathrm{ch}\mathrm{jet}})=\frac{1}{{\mathcal{L}}_{\mathrm{int}}}\frac{\mathrm{d}{N}_{\mathrm{jets}}}{\mathrm{d}{p}_{\mathrm{T}}\mathrm{d}\eta }(p_{\mathrm{T}}^{\mathrm{ch}\mathrm{jet}}),$$

$${\rho }_{\mathrm{UE}}=\sum _{i=0}^n{p}_{\mathrm{T},\mathrm{i}}^{\mathrm{perp}}/\pi R^2,$$

Full text

\PHyear2019 \PHnumber070 \PHdate09 April

\ShortTitleCharged jets in pp collisions at $\sqrt{s}=5.02~{}\mathrm{TeV}$

\CollaborationALICE Collaboration††thanks: See Appendix A for the list of collaboration members \ShortAuthorALICE Collaboration

The cross section of jets reconstructed from charged particles is measured in the transverse momentum range of $5<p_{\mathrm{T}}<100\ \mathrm{GeV}/c$ in pp collisions at the center-of-mass energy of $\sqrt{s}=5.02\ \mathrm{TeV}$ with the ALICE detector. The jets are reconstructed using the anti-$k_{\mathrm{T}}$ algorithm with resolution parameters $R=0.2$, $0.3$, $0.4$, and $0.6$ in the pseudorapidity range $|\eta|<0.9-R$. The charged jet cross sections are compared with the leading order (LO) and to next-to-leading order (NLO) perturbative Quantum ChromoDynamics (pQCD) calculations. It was found that the NLO calculations agree better with the measurements. The cross section ratios for different resolution parameters were also measured. These ratios increase from low $p_{\mathrm{T}}$ to high $p_{\mathrm{T}}$ and saturate at high $p_{\mathrm{T}}$, indicating that jet collimation is larger at high $p_{\mathrm{T}}$ than at low $p_{\mathrm{T}}$. These results provide a precision test of pQCD predictions and serve as a baseline for the measurement in Pb$-$Pb collisions at the same energy to quantify the effects of the hot and dense medium created in heavy-ion collisions at the LHC.

1 Introduction

In quantum chromodynamics (QCD), jets are defined as collimated showers of particles resulting from the fragmentation of hard (high-momentum transfer $Q$) partons (quarks and gluons) produced in short-distance scattering processes. Jet cross section measurements provide valuable information about the strong coupling constant, $\alpha_{\mathrm{s}}$, and the structure of the proton [1, 2]. In addition, inclusive jet production represents a background to many other processes at hadron colliders. Therefore, the predictive power of fixed-order perturbative QCD (pQCD) calculations of jet production is relevant in many studies in high-energy collisions, and the inclusive jet cross section measurements in proton-proton collisions provide a clean test of pQCD. Jet production in $\mathrm{e}^{+}\mathrm{e}^{-}$, $\mathrm{ep}$, $\mathrm{p\overline{p}}$, and pp collisions is quantitatively described by pQCD calculations [3, 4, 5].

Jets also constitute an important probe for the study of the hot and dense QCD matter created in high-energy collisions of heavy nuclei. In nucleus-nucleus (A$-$A) collisions, high-$p_{\rm T}$ partons penetrate the colored medium and lose energy via induced gluon radiation and elastic scattering (see [6] and references therein) while in proton-nucleus (p$-$A) collisions, jet production may be modified by cold nuclear matter (CNM) effects [7, 8, 9, 10]. Furthermore, in high multiplicity pp and p$-$A collisions, jet production could be modified even if the collision system is small. The measurements of inclusive jets in pp collisions thus provide a baseline for similar measurements in A$-$A, p$-$A and high multiplicity pp and p$-$A collisions.

The measured jet properties are typically well reproduced by many general-purpose Monte Carlo (MC) event generators [11]. The unprecedented beam energy achieved at the Large Hadron Collider (LHC) [12] in pp collisions enables an extension of the energy range of jet production cross section and property measurements carried out at lower energies. Such measurements enable further tests of QCD and help in tuning of MC event generators. Inclusive jet production cross sections have been measured in collisions of hadrons at the $\mathrm{Sp\bar{p}S}$ and Tevatron colliders at various center-of-mass energies. The latest and most precise results at $\sqrt{s}=1.96\ \mathrm{TeV}$ are detailed in Refs. [13, 14]. At the LHC at CERN, the ALICE, ATLAS and CMS collaborations have measured inclusive jet cross sections in proton$-$proton collisions at center-of-mass energies of $\sqrt{s}=2.76\ \mathrm{TeV}$ [15, 16, 17] , $7\ \mathrm{TeV}$ [18, 19] and $8~{}\mathrm{TeV}$ [20, 21]. Recently, the ATLAS and CMS collaborations have measured the inclusive jet cross sections at $\sqrt{s}=13\ \mathrm{TeV}$ [22, 23].

This paper presents the measurements of the inclusive charged jet cross sections in proton$-$proton collisions at a center-of-mass energy of $\sqrt{s}=5.02\ \mathrm{TeV}$ by the ALICE Collaboration at the LHC. The inclusive charged jet cross sections are measured double-differentially as a function of the jet transverse momentum, $p_{\mathrm{T}}$, and absolute jet pseudorapidity, $|\eta|$. The jets are reconstructed using the anti-$k_{\mathrm{T}}$ jet clustering algorithm [24] with resolution parameter values of $R=0.2$, $0.3$, $0.4$, and $0.6$. The inclusive charged jet cross sections are measured in the kinematic region of $5<p_{\mathrm{T}}<100\ \mathrm{GeV}/c$ and pseudorapidity of $|\eta|<0.9-R$. The analysis is restricted to jets reconstructed solely from charged particles, hereafter called charged jets. Charged particles with momenta down to $p_{\mathrm{T}}>0.15\ \mathrm{GeV}/c$ are used in the jet reconstruction of different $R$ values, thereby allowing us to test perturbative and non-perturbative aspects of jet production and fragmentation as implemented in MC event generators [25, 26]. ALICE reported similar measurements of charged jet production in pp [27, 28], p$-$Pb [29, 30], and Pb$-$Pb collisions [31] using data from the first LHC run.

A brief description of the ALICE detector and the selected data sample are introduced in Sec. 2. MC simulations and theoretical calculations used for comparison to data are presented in Sec. 3. The cross section definition is given in section 4 and the unfolding procedure is described in Sec. 5. Systematic uncertainties on the cross section measurements are addressed in Sec. 6. Finally, the results without and with underlying event (UE) subtraction are presented and discussed in Sec. 7 and Appendix B, respectively.

2 Experimental setup and data sample

ALICE (A Large Ion Collider Experiment) is a dedicated heavy-ion experiment at the LHC, CERN. A detailed description of the detectors can be found in  [32]. The detector components used in the data analysis presented in this publication are outlined here.

The ALICE detector comprises a central barrel (pseudorapidity $|\eta|<0.9$ coverage over full-azimuth) immersed in a uniform $0.5\ \mathrm{T}$ magnetic field along the beam axis ($z$) supplied by the large solenoid magnet. The forward-rapidity plastic scintillator counters are positioned on each side of the interaction point, covering pseudorapidity ranges $2.8<\eta<5.1$ (V0A) and $-3.7<\eta<-1.7$ (V0C), and they are used for determination of the interaction trigger. The central barrel contains a set of tracking detectors: a six-layer high-resolution silicon Inner Tracking System (ITS) surrounding the beam pipe (from inside outward: the Silicon Pixel (SPD), Drift (SDD), and Strip (SSD) Detectors), and a large-volume ($5\ \mathrm{m}$ length, $5.6\ \mathrm{m}$ diameter) Time-Projection Chamber (TPC).

The ITS and TPC space-points are combined to reconstruct tracks from charged particles over a wide transverse momentum range ($0.15\ <p_{\mathrm{T}}<100\ \mathrm{GeV}/c$). The selected tracks are required to have at least 70 TPC space-points out of a maximum of 159 possible and more than $60\%$ of the findable TPC space-points based on the track parameters. For the best momentum resolution, at least 3 track hits are required to be located in the ITS. The primary vertex position is reconstructed from charged particle tracks as described in [33]. Only tracks originating from the primary vertex, called primary tracks, are used for jet reconstruction. These tracks are selected based on their distance of closest approach to the primary vertex of the interaction (smaller than $2.4\ \mathrm{cm}$ and $3.2\ \mathrm{cm}$ in the transverse plane and along the beam axis, respectively).

To fully compensate the loss of tracking efficiency with the SPD dead areas and recover good momentum resolution, tracks without any hit in either of the two SPD layers, referred as "hybrid tracks", are also retained but constrained to the primary vertex [34]. The tracking efficiency estimated from a full simulation of the detector (see Sec. 3) is $80\%$ for $p_{\mathrm{T}}>0.4\ \mathrm{GeV/c}$, decreasing to $60\%$ at $0.15\ \mathrm{GeV/c}$. The momentum resolution is better than $3\%$ for hybrid tracks below $1\ \mathrm{GeV}/c$, and increases linearly up to $10\%$ at $p_{\mathrm{T}}=100\ \mathrm{GeV}/c$.

The measurement presented here uses data from pp collisions at a center-of-mass energy of $\sqrt{s}=5.02~{}\,\mathrm{TeV}$ collected in 2015. During this period, minimum-bias (MB) events are selected using the high purity V0-based MB trigger  [35] which required a charged particle signal coincidence in the V0A and V0C arrays. The corresponding visible pp cross section was measured with the van der Meer technique to be $51.2\pm 1.2\ \mathrm{mb}$ [36]. During the intensity ramp up, the instantaneous luminosity delivered by the LHC was successively leveled to $2\times 10^{29}\ \mathrm{cm^{-2}\,s^{-1}}$ and $10^{30}\ \mathrm{cm^{-2}\,s^{-1}}$ resulting in interaction rates of $10\ \mathrm{kHz}$ and $50\ \mathrm{kHz}$, respectively [37]. The track quality was checked and it was found to be independent of interaction rates.

Further selection of MB events for offline analysis is made by requiring a primary vertex position within $\pm 10\ \mathrm{cm}$ around the nominal interaction point to ensure full geometrical acceptance in the ITS for $|\eta|<0.9$. Pile-up interactions are maintained at an average number of pp interactions per bunch crossing below $0.06$ through beam separation in the horizontal plane. Residual pile-up events are rejected based on a multiple vertex finding algorithm using SPD information [34]. After event selection, a data set of $103\times 10^{6}$ minimum-bias pp collisions corresponding to an integrated luminosity $\mathcal{L}_{\mathrm{int}}=2\ \mathrm{nb}^{-1}$ is used.

3 Monte Carlo simulation

Monte Carlo (MC) event generators are used both for predictions of jet production to compare with data, and to provide simulations of detector performance for particle detection and reconstruction used to correct the measured distributions for instrumental effects. For the latter case, primary simulated events are generated with the PYTHIA8[38] (PYTHIA 8.125, Monash 2013 tune [39]) MC generator. Then particles are transported through the simulated detector apparatus with GEANT 3.21 [40]. The simulated and real data are analyzed with the same reconstruction algorithms.

The MC generators HERWIG [41, 42] (HERWIG 6.510) and PYTHIA6 (PYTHIA 6.425 and several UE tunes defined as everything accompanying an event but the hard scattering) [43] are used for variations of the detector response and systematic investigations of the MC correction factors as well as jet fragmentation and hadronization patterns (as described in section 6). For comparison with data, MC simulated samples with different tunes from PYTHIA6, PYTHIA8, and POWHEG merged with PYTHIA8 for the parton shower and hadronization [44, 45, 46, 47] are used.

PYTHIA and HERWIG are both event generators based on leading order (LO) pQCD calculations of matrix elements for $2\to 2$ reactions of parton-level hard scattering. However, each generator utilizes different approaches to describe the parton shower and hadronization processes. HERWIG makes angular ordering a direct part of the evolution process and thereby takes coherence effects into account in the emission of soft gluons. PYTHIA6 is based on transverse-momentum-ordered showers [48] in which angular ordering is imposed by an additional veto. In PYTHIA6 the initial-state evolution and multiple parton-parton interactions are interleaved into one common decreasing $p_{\mathrm{T}}$ sequence. In PYTHIA8 the final-state evolution is also interleaved with initial-state radiation and multiparton interactions. Hadronization in PYTHIA proceeds via string breaking as described by the Lund model [49], whereas HERWIG uses cluster fragmentation [50].

The PYTHIA Perugia tune variations, beginning with the central tune Perugia-0 [51], are based on LEP, Tevatron, and SPS data. The PYTHIA6 Perugia 2011 family of tunes [51] belongs to the first generation of tunes that use LHC pp data at $\sqrt{s}=0.9$ and $7\ \mathrm{TeV}$. For the PYTHIA8 Monash 2013 tune  [39], data at $\sqrt{s}=8$ and $13\ \mathrm{TeV}$ are also used. The PYTHIA8 CUETP8M1 tune uses the parameters of the Monash Tune and fits to the UE measurements performed by CMS [52]. The HERWIG generator and PYTHIA6 tunes used in this work utilize the CTEQ5L parton distribution functions (PDFs) [53]. The PYTHIA8 Monash tune uses the NNPDF2.3 LO set [54]. The uncertainty on the PDFs has been taken into account by the variation of the final results for the respective uncertainty sets of the PDFs.

The POWHEG framework, an event-by-event MC, is used for next-to-leading order (NLO) pQCD calculations of $2\to 2$ and $2\to 3$ parton scattering at $\mathcal{O}(\alpha_{\rm s}^{3})$. The outgoing partons from POWHEG are passed to PYTHIA8 event-by-event where the subsequent parton shower is performed. Double-counting of partonic configurations is inhibited by a matching scheme based on shower emission vetoing [55]. Contrary to fixed-order NLO calculations, the POWHEG MC approach has the advantage that the same selection criteria and jet finding algorithm can be used on the final state particle-level as used in the analysis of the real data; in particular, only charged particles can be selected. For the comparison with the measured differential jet cross sections, the CT14nlo PDF set is used [56]. The dominant uncertainty in the parton-level calculation is given by the choice of renormalization, $\mu_{\mathrm{R}}$, and factorization scale, $\mu_{\mathrm{F}}$. The default value is chosen to be $\mu_{\mathrm{R}}=\mu_{\mathrm{F}}=p_{\mathrm{T}}$ of the underlying Born configuration, here a $2\to 2$ QCD scattering [44]. Independent variations by a factor of two around the central value are considered as the systematic uncertainty. For the POWHEG calculations, the PYTHIA8 A14 tune is used  [57].

4 Inclusive charged jet cross section

Jets are reconstructed from charged particles using the anti-$k_{\mathrm{T}}$ jet clustering algorithm [58, 59] with resolution parameters $R=0.2$, $0.3$, $0.4$, and $0.6$. The jet transverse momenta are calculated using a boost-invariant $p_{\rm T}$ recombination scheme as the scalar sum of their constituent transverse momenta. The bin-averaged differential inclusive charged jet cross section measured as a function of charged jet transverse momentum $p_{\rm T}^{\rm ch\;jet}$ in bins of pseudorapidity is defined as

[TABLE]

where $\mathcal{L}_{\rm int}$ is the integrated luminosity given in section 2 and $N_{\rm jets}$ is the number of jets reconstructed in bins of width $dp_{\mathrm{T}}$ in transverse momentum and $d\eta$ in pseudorapidity. One single bin of pseudorapidity $|\eta|<0.9-R$ is considered in this analysis because of the limited coverage of the ALICE central barrel. The measurements are performed in the kinematic range of $5\ <p_{\rm T}^{\rm ch\;jet}<100\ \mathrm{GeV}/c$.

Jets observed in pp collisions are inevitably affected by the Underlying Event (UE) activity originating from Multiple Parton Interactions (MPI), fragmentation of beam remnants, and initial and final state radiation [60]. The UE can be characterized on an event-by-event basis by the amount of transverse momentum density $\rho_{\mathrm{UE}}$ in a ‘control region‘ cone of the same radius as the jet resolution parameter placed perpendicular to the leading jet axis, at the same pseudorapidity as the leading jet but offset by an azimuthal angle of $\pm\pi/2$ relative to the jet axis [27]. To obtain the $\rho_{\mathrm{UE}}$, we calculate the sum of track $p_{\rm T}$ in a perpendicular cone which is defined with respect to a leading jet axis and divided by jet area as

[TABLE]

where $R$ is the jet resolution parameter and $p_{\rm T,i}^{\rm perp}$ is a transverse momentum of $i$th track in a perpendicular cone.

The average $\rho_{\mathrm{UE}}$ as a function of the event scale defined by the leading jet $p_{\mathrm{T}}$ is shown in Fig. 1 for resolution parameters $R=0.2$, $0.3$, $0.4$, and $0.6$. The relative UE contribution increases with increasing jet transverse momentum. A steep rise of the UE activity in the transverse region is observed with increasing leading jet $p_{\mathrm{T}}$ followed by a slower rise above $10\ \mathrm{GeV}/c$ which suggests a weaker correlation with the hard process [61]. The average UE also has a weak dependence on jet finding resolution parameters. While the asymptotic value of $\langle\rho_{\mathrm{UE}}\rangle$ is located close to $1\ \mathrm{GeV}/c$ for resolution parameter from $0.2$ up to $0.4$, it increases by $20\%$ for $R=0.6$, probably due to the contamination from jet regions which might arise for such a large cone size. Fig. 1 compares the data to the recent tunes of the PYTHIA MC event generators as a function of detector level jet $p_{\rm T}$. The measured transverse momentum density can be reproduced by different PYTHIA tunes within 5%, i.e. a slight underestimation from the Monash-2013 tune when approaching the slowly rising region. A similar observation was reported by an earlier publication of UE measurements using leading particles instead of jets [61].

All the observables studied in this paper are measured both with and without UE corrections, with the former presented in Appendix B, and the latter in the body of the paper. The impact of the UE subtraction on the inclusive jet spectrum can be seen in Fig. 11. A systematic uncertainty on the $\rho_{\mathrm{UE}}$ measurement was estimated to be $5\%$ [27] resulting in a $2\%$ uncertainty on the UE subtracted jet cross section at $p_{\rm T}^{\rm ch\;jet}=5\ \mathrm{GeV}/c$ and decreasing for higher jet transverse momentum. Furthermore, as a reference for constructing jet nuclear modification factors in Pb$-$Pb collisions [31, 62], leading-track biased jet spectra are made available in Appendix in Fig. 12.

Finally, the differential inclusive charged jet cross sections are corrected for detector resolution and unfolded to the charged particle level (section 5) to allow for a direct comparison to theoretical predictions (section 7).

5 Unfolding of detector effects

The measurement of the steeply falling jet transverse momentum spectrum is affected by the imperfect track reconstruction efficiency and finite track momentum resolution of the detector. The inference of the true spectrum from the smeared one, a process usually called unfolding, requires construction of a detector response matrix. The jet production yields are corrected by the unfolding method [63], as implemented in the RooUnfold package [64]. A 2-dimensional detector response matrix maps the transverse momentum of particle-level charged jets clustered from stable charged particles produced by a MC event generator ($p_{\mathrm{T}}^{\mathrm{jet,particle}}$) to the detector-level jets reconstructed from tracks after full GEANT3-based detector simulation ($p_{\mathrm{T}}^{\mathrm{jet,detector}}$). The entries of the response matrix are computed by matching particle- and detector-level jets geometrically, according to the distance $d=\sqrt{\Delta\eta^{2}+\Delta\phi^{2}}$ between the jet axes. The anti-$k_{\mathrm{T}}$ jet finding algorithm is used for both particle-level and detector-level jet reconstruction.

The probability of reconstructing a charged jet at a given detector level $p_{\mathrm{T}}$ as a function of the particle level $p_{\mathrm{T}}$ is shown in Fig. 2 (left) for charged jets with $R=0.4$, demonstrating the detector response matrix. The probability distribution is derived from this detector response matrix and shown in Fig. 2 (right) for four different $p_{\mathrm{T}}^{\mathrm{jet,particle}}$ intervals. The distributions have a pronounced peak at zero ($p_{\mathrm{T}}^{\mathrm{jet,detector}}=p_{\mathrm{T}}^{\mathrm{jet,particle}}$). The tracking $p_{\mathrm{T}}$ resolution induces upward and downward fluctuations with equal probability, whereas the finite detection efficiency of the charged particles results in an asymmetric response.

In this analysis, an unfolding approach relying on a Singular Value Decomposition (SVD) of the detector response matrix is used in order to reduce sizable statistical fluctuations that are introduced by instabilities in the inversion procedure [65]. This technique also produces a complete covariance matrix, along with its inverse, which allows for full uncertainty propagation. In addition, a Bayesian unfolding [63] was carried out for cross-check and systematic error assessments. Consistent results were obtained with both methods. To validate the unfolding process, and identify potential biases, closure tests are performed which compare the unfolded detector-level distribution to the particle-level truth in the MC simulation. Consistency of the unfolding procedure is also ensured by folding the solution to the detector level and comparing it to the uncorrected distribution used as input. No significant difference is found.

6 Systematic uncertainties

The various sources of systematic uncertainties and their corresponding estimates obtained in this study are summarized in Table 1 and discussed in detail in the following sections. All systematic uncertainties listed in Table 1 are considered as uncorrelated except the unfolding one. Therefore, these systematic uncertainties were treated separately and their respective contributions are added in quadrature. In the ratio of the measured cross sections for different radii, the uncertainties from the same source cancel out partially, and the remaining relative difference is taken as the systematic uncertainty on the ratio. The total uncertainty on the jet cross section ratio is determined by adding the remaining contributions from different resources in quadrature.

6.1 Tracking efficiency and momentum resolution

To evaluate the impact of the limited track reconstruction efficiency and momentum resolution on the jet cross sections, a fast detector response simulation is used to reduce computing time. The efficiency and resolution are varied independently, and a new response matrix is computed for each variation. The detector-level distributions are then unfolded, and the resulting differences are used as systematic uncertainties. The relative systematic uncertainty on tracking efficiency is estimated to be 3% based on the variations of track selection criteria. The track efficiency contributes a relative systematic uncertainty of up to 8% on the jet cross sections since it introduces a reduction and smearing of the jet momentum scale.

The systematic uncertainty of the jet cross sections due to the tracking efficiency uncertainty, which is the dominant source of uncertainty, increases with increasing jet $p_{\rm T}$ and resolution parameter, while the systematic uncertainty due to momentum resolution is neglibile with no $p_{\rm T}$ dependence and a weak dependence on the jet resolution parameter.

6.2 Unfolding

The reconstructed jet transverse momentum spectra presented in this paper are unfolded using a detector response computed with the Monash 2013 tune of the PYTHIA8 event generator [39]. This particular choice of MC event generator affects the detector response by influencing the correlation between the particle- and detector-level quantities used to evaluate the response matrix. Such a MC event generator dependence is quantified by comparing the unfolded spectrum using the default response matrix and generator prior with those obtained with the HERWIG and PYTHIA6 event generators with Perugia-0 and Perugia-2011 tune [51]. This comparison is accomplished by using detector responses from fast simulation. The resulting uncertainty is on the order of $5\%$.

The SVD unfolding method [65], which is the default approach used in this analysis, is regularized by the choice of an integer valued parameter which separates statistically significant and non-significant singular values of the orthogonalized response matrix. The regularized parameter is tuned for each cone radius parameter, separately. To estimate the related systematic uncertainty, the regularization parameter is varied by $\pm 2$ around the optimal value. The unfolded results are stable against regularization parameter variations with a maximum deviation of $1\%$ at high-$p_{\mathrm{T}}$.

Lastly, the SVD unfolded spectra are compared with the results obtained with the Bayesian unfolding method [63]. Within uncertainties, the solutions of both unfolding methods are consistent.

The uncertainties discussed above are added in quadrature and referred to as the unfolding systematic uncertainty in Table 1.

6.3 Cross section normalization

A systematic uncertainty on the integrated luminosity measurement of $2.3\%$ [36] is propagated to the cross section as fully correlated across all $p_{\mathrm{T}}$ bins. Therefore, it cancels out in the ratio of cross sections.

6.4 Contamination from secondary particles

Contamination from secondary particles produced by weak decays of strange particles (e.g. $K^{\mathrm{0}}_{\mathrm{S}}$ and $\Lambda$), photon conversions, or hadronic interactions in the detector material, and decays of charged pions is significantly reduced by the requirement on the distance of closest approach of the tracks to the primary vertex point. The uncertainty due to the secondary contribution corresponds to a jet transverse momentum scale uncertainty of $0.5\%$ [27, 28].

7 Results

7.1 Charged jet cross sections

The inclusive charged jet cross sections using the anti-$k_{\mathrm{T}}$ jet finding algorithm in pp collisions at $\sqrt{s}=5.02\ \mathrm{TeV}$ are fully corrected for detector effects and are presented in Fig. 3. In this study, the inclusive charged jet cross sections are reported for jet resolution parameters $R=0.2$, $0.3$, $0.4$, and $0.6$. The choice of $R$ is driven by which aspects of jet formation are investigated since the relative strength of perturbative and non-perturbative (hadronization and underlying event) effects on the jet transverse momentum distribution show a strong $R$-dependence [25]. Pseudorapidity ranges are limited to $|\eta|<0.9-R$ to avoid edge effects at the limit of the tracking detector acceptance.

The differential cross sections of charged jets reconstructed using different jet resolution parameters $R$ are compared with LO PYTHIA predictions in Fig. 4. Fig. 5 shows the comparison with POWHEG predictions. The ratios of the MC distributions to measured data are shown in the bottom panels. The model predictions qualitatively describe the measured cross sections, but fail to reproduce the shape over the entire jet transverse momentum range. The comparison between data and models is similar to earlier measurements at a lower center of mass energy [66]. Although NLO corrections to inclusive single jet production improve the LO prediction and the NLO predictions agree within 10% with the data in the studied phase space, the NLO prediction still disagrees with the data at the lowest kinematic phase space by up to 50%, with very large theoretical uncertainty at low transverse momentum as shown in Fig. 5. At this low $p_{\mathrm{T}}$ region below 10 GeV/$c$, non-perturbative effects, such as soft particle production, multi-parton interactions, and fragmentation function bias play a role, which makes the comparison with theoretical models difficult. Studies of next-to-next-to-leading order (NNLO) corrections using antenna subtraction [67] indicate that NNLO calculations should significantly reduce the systematic uncertainty from scale variations once they become available. Therefore, it is expected that a detailed theory-experiment comparison will be performed in the future using NNLO QCD corrections. This comparison will contribute to our understanding of pQCD processes.

7.2 Ratio of charged jet cross sections

Figure 6 shows the ratios of inclusive charged jet cross sections for jets reconstructed with a resolution parameter of $R=0.2$ to those with $R=0.4$ and $R=0.6$. In order to compare the ratios within the same jet pseudorapidity range, the ratios are studied within $|\eta|<0.3$, which coincides with the fiducial jet acceptance for the largest resolution parameter studied ($R=0.6$). Statistical correlations between the numerator and denominator are avoided by using exclusive subsets of the event sample. This observable relates directly to the relative difference between the jet $p_{\mathrm{T}}$ distributions when using two different resolution parameters and provides insights into the interplay between perturbative and non-perturbative effects. The departure from unity, which is due to the emission of QCD radiation, decreases as jet collimation increases at high transverse momentum. From the experimental point of view, the observable is less sensitive to experimental systematic uncertainties, and consequently the comparisons between theoretical predictions and data are less ambiguous for this observable than for inclusive spectra [15]. The measured ratios are also compared with PYTHIA and POWHEG calculations in Fig. 6. Both models give a good description of the data within 10%, stressing the significance of jet parton showers beyond higher-order matrix element calculations.

Figure 7 displays a comparison of the results obtained by the ALICE Collaboration in pp collisions at $\sqrt{s}=7\ \mathrm{TeV}$ [66] and p-Pb collisions at $\sqrt{s_{\mathrm{NN}}}=5.02\ \mathrm{TeV}$ [29]. All data show a similar increase of the ratio expected from the stronger collimation of jets at higher transverse momentum and agree well within uncertainties. No significant energy dependence nor change with collision species is observed for smaller radii. It should be noted, however, that the earlier ALICE measurements of cross section ratio used for comparison performed the UE subtraction. Since the UE contribution is more pronounced for larger radii ($R=0.6$), the cross section ratio $\sigma(R=0.2)/\sigma(R=0.6)$ is higher after UE subtraction, and the UE subtracted cross section ratio is consistent to earlier measurements in pp collisions at $\sqrt{s}=7\ \mathrm{TeV}$ as presented in Fig.  7 (right).

8 Conclusion

The inclusive charged jet cross sections with transverse momentum from $5\ \mathrm{GeV}/c$ to $100\ \mathrm{GeV}/c$ in pp collisions at $\sqrt{s}=5.02\ \mathrm{TeV}$ have been measured. The measurements have been performed using anti-$k_{\mathrm{T}}$ jet finder algorithm with different jet resolution parameters $R=0.2$, $0.3$, $0.4$, and $0.6$ at mid-rapidity. The differential charged jet cross sections are compared with those in LO and NLO pQCD calculations. There is better agreement between data and predictions at NLO, i.e. POWHEG for parton shower with hadronization by PYTHIA8. The cross section ratios for different resolution parameters are also measured, which increase from low to high $p_{\mathrm{T}}$, and saturate at high $p_{\mathrm{T}}$, indicating that the jet collimation is larger at high $p_{\mathrm{T}}$. The ratio for $\sigma(R=0.2)/\sigma(R=0.4)$ is larger than that for $\sigma(R=0.2)/\sigma(R=0.6)$, and these ratios are consistent with both LO and NLO pQCD calculations.

The data presented in this paper provide an important reference for jet production in QCD, for example the fragmentation function and parton distribution functions. It also provides a baseline for the nuclear modification factor measurement in Pb-Pb collisions at the same beam energy, in order to elucidate the nature of the hot and dense matter created in heavy-ion collisions at the LHC. In particular, the results presented in this paper extend the jet measurements to very low $p_{\mathrm{T}}$, which is challenging to measure in the heavy-ion environment due to the UE influence.

Acknowledgements

The ALICE Collaboration would like to thank all its engineers and technicians for their invaluable contributions to the construction of the experiment and the CERN accelerator teams for the outstanding performance of the LHC complex. The ALICE Collaboration gratefully acknowledges the resources and support provided by all Grid centres and the Worldwide LHC Computing Grid (WLCG) collaboration. The ALICE Collaboration acknowledges the following funding agencies for their support in building and running the ALICE detector: A. I. Alikhanyan National Science Laboratory (Yerevan Physics Institute) Foundation (ANSL), State Committee of Science and World Federation of Scientists (WFS), Armenia; Austrian Academy of Sciences, Austrian Science Fund (FWF): [M 2467-N36] and Nationalstiftung für Forschung, Technologie und Entwicklung, Austria; Ministry of Communications and High Technologies, National Nuclear Research Center, Azerbaijan; Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq), Universidade Federal do Rio Grande do Sul (UFRGS), Financiadora de Estudos e Projetos (Finep) and Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP), Brazil; Ministry of Science & Technology of China (MSTC), National Natural Science Foundation of China (NSFC) and Ministry of Education of China (MOEC) , China; Croatian Science Foundation and Ministry of Science and Education, Croatia; Centro de Aplicaciones Tecnológicas y Desarrollo Nuclear (CEADEN), Cubaenergía, Cuba; Ministry of Education, Youth and Sports of the Czech Republic, Czech Republic; The Danish Council for Independent Research | Natural Sciences, the Carlsberg Foundation and Danish National Research Foundation (DNRF), Denmark; Helsinki Institute of Physics (HIP), Finland; Commissariat à l’Energie Atomique (CEA), Institut National de Physique Nucléaire et de Physique des Particules (IN2P3) and Centre National de la Recherche Scientifique (CNRS) and Région des Pays de la Loire, France; Bundesministerium für Bildung und Forschung (BMBF) and GSI Helmholtzzentrum für Schwerionenforschung GmbH, Germany; General Secretariat for Research and Technology, Ministry of Education, Research and Religions, Greece; National Research, Development and Innovation Office, Hungary; Department of Atomic Energy Government of India (DAE), Department of Science and Technology, Government of India (DST), University Grants Commission, Government of India (UGC) and Council of Scientific and Industrial Research (CSIR), India; Indonesian Institute of Science, Indonesia; Centro Fermi - Museo Storico della Fisica e Centro Studi e Ricerche Enrico Fermi and Istituto Nazionale di Fisica Nucleare (INFN), Italy; Institute for Innovative Science and Technology , Nagasaki Institute of Applied Science (IIST), Japan Society for the Promotion of Science (JSPS) KAKENHI and Japanese Ministry of Education, Culture, Sports, Science and Technology (MEXT), Japan; Consejo Nacional de Ciencia (CONACYT) y Tecnología, through Fondo de Cooperación Internacional en Ciencia y Tecnología (FONCICYT) and Dirección General de Asuntos del Personal Academico (DGAPA), Mexico; Nederlandse Organisatie voor Wetenschappelijk Onderzoek (NWO), Netherlands; The Research Council of Norway, Norway; Commission on Science and Technology for Sustainable Development in the South (COMSATS), Pakistan; Pontificia Universidad Católica del Perú, Peru; Ministry of Science and Higher Education and National Science Centre, Poland; Korea Institute of Science and Technology Information and National Research Foundation of Korea (NRF), Republic of Korea; Ministry of Education and Scientific Research, Institute of Atomic Physics and Ministry of Research and Innovation and Institute of Atomic Physics, Romania; Joint Institute for Nuclear Research (JINR), Ministry of Education and Science of the Russian Federation, National Research Centre Kurchatov Institute, Russian Science Foundation and Russian Foundation for Basic Research, Russia; Ministry of Education, Science, Research and Sport of the Slovak Republic, Slovakia; National Research Foundation of South Africa, South Africa; Swedish Research Council (VR) and Knut & Alice Wallenberg Foundation (KAW), Sweden; European Organization for Nuclear Research, Switzerland; National Science and Technology Development Agency (NSDTA), Suranaree University of Technology (SUT) and Office of the Higher Education Commission under NRU project of Thailand, Thailand; Turkish Atomic Energy Agency (TAEK), Turkey; National Academy of Sciences of Ukraine, Ukraine; Science and Technology Facilities Council (STFC), United Kingdom; National Science Foundation of the United States of America (NSF) and United States Department of Energy, Office of Nuclear Physics (DOE NP), United States of America.

Appendix A The ALICE Collaboration

S. Acharya\Irefnorg141&D. Adamová\Irefnorg93&S.P. Adhya\Irefnorg141&A. Adler\Irefnorg74&J. Adolfsson\Irefnorg80&M.M. Aggarwal\Irefnorg98&G. Aglieri Rinella\Irefnorg34&M. Agnello\Irefnorg31&N. Agrawal\Irefnorg10&Z. Ahammed\Irefnorg141&S. Ahmad\Irefnorg17&S.U. Ahn\Irefnorg76&S. Aiola\Irefnorg146&A. Akindinov\Irefnorg64&M. Al-Turany\Irefnorg105&S.N. Alam\Irefnorg141&D.S.D. Albuquerque\Irefnorg122&D. Aleksandrov\Irefnorg87&B. Alessandro\Irefnorg58&H.M. Alfanda\Irefnorg6&R. Alfaro Molina\Irefnorg72&B. Ali\Irefnorg17&Y. Ali\Irefnorg15&A. Alici\Irefnorg10,\Irefnorg53,\Irefnorg27&A. Alkin\Irefnorg2&J. Alme\Irefnorg22&T. Alt\Irefnorg69&L. Altenkamper\Irefnorg22&I. Altsybeev\Irefnorg112&M.N. Anaam\Irefnorg6&C. Andrei\Irefnorg47&D. Andreou\Irefnorg34&H.A. Andrews\Irefnorg109&A. Andronic\Irefnorg105,\Irefnorg144&M. Angeletti\Irefnorg34&V. Anguelov\Irefnorg102&C. Anson\Irefnorg16&T. Antičić\Irefnorg106&F. Antinori\Irefnorg56&P. Antonioli\Irefnorg53&R. Anwar\Irefnorg126&N. Apadula\Irefnorg79&L. Aphecetche\Irefnorg114&H. Appelshäuser\Irefnorg69&S. Arcelli\Irefnorg27&R. Arnaldi\Irefnorg58&M. Arratia\Irefnorg79&I.C. Arsene\Irefnorg21&M. Arslandok\Irefnorg102&A. Augustinus\Irefnorg34&R. Averbeck\Irefnorg105&S. Aziz\Irefnorg61&M.D. Azmi\Irefnorg17&A. Badalà\Irefnorg55&Y.W. Baek\Irefnorg40,\Irefnorg60&S. Bagnasco\Irefnorg58&R. Bailhache\Irefnorg69&R. Bala\Irefnorg99&A. Baldisseri\Irefnorg137&M. Ball\Irefnorg42&R.C. Baral\Irefnorg85&R. Barbera\Irefnorg28&L. Barioglio\Irefnorg26&G.G. Barnaföldi\Irefnorg145&L.S. Barnby\Irefnorg92&V. Barret\Irefnorg134&P. Bartalini\Irefnorg6&K. Barth\Irefnorg34&E. Bartsch\Irefnorg69&N. Bastid\Irefnorg134&S. Basu\Irefnorg143&G. Batigne\Irefnorg114&B. Batyunya\Irefnorg75&P.C. Batzing\Irefnorg21&D. Bauri\Irefnorg48&J.L. Bazo Alba\Irefnorg110&I.G. Bearden\Irefnorg88&C. Bedda\Irefnorg63&N.K. Behera\Irefnorg60&I. Belikov\Irefnorg136&F. Bellini\Irefnorg34&R. Bellwied\Irefnorg126&L.G.E. Beltran\Irefnorg120&V. Belyaev\Irefnorg91&G. Bencedi\Irefnorg145&S. Beole\Irefnorg26&A. Bercuci\Irefnorg47&Y. Berdnikov\Irefnorg96&D. Berenyi\Irefnorg145&R.A. Bertens\Irefnorg130&D. Berzano\Irefnorg58&L. Betev\Irefnorg34&A. Bhasin\Irefnorg99&I.R. Bhat\Irefnorg99&H. Bhatt\Irefnorg48&B. Bhattacharjee\Irefnorg41&A. Bianchi\Irefnorg26&L. Bianchi\Irefnorg126,\Irefnorg26&N. Bianchi\Irefnorg51&J. Bielčík\Irefnorg37&J. Bielčíková\Irefnorg93&A. Bilandzic\Irefnorg117,\Irefnorg103&G. Biro\Irefnorg145&R. Biswas\Irefnorg3&S. Biswas\Irefnorg3&J.T. Blair\Irefnorg119&D. Blau\Irefnorg87&C. Blume\Irefnorg69&G. Boca\Irefnorg139&F. Bock\Irefnorg34&A. Bogdanov\Irefnorg91&L. Boldizsár\Irefnorg145&A. Bolozdynya\Irefnorg91&M. Bombara\Irefnorg38&G. Bonomi\Irefnorg140&M. Bonora\Irefnorg34&H. Borel\Irefnorg137&A. Borissov\Irefnorg91,\Irefnorg144&M. Borri\Irefnorg128&E. Botta\Irefnorg26&C. Bourjau\Irefnorg88&L. Bratrud\Irefnorg69&P. Braun-Munzinger\Irefnorg105&M. Bregant\Irefnorg121&T.A. Broker\Irefnorg69&M. Broz\Irefnorg37&E.J. Brucken\Irefnorg43&E. Bruna\Irefnorg58&G.E. Bruno\Irefnorg33,\Irefnorg104&M.D. Buckland\Irefnorg128&D. Budnikov\Irefnorg107&H. Buesching\Irefnorg69&S. Bufalino\Irefnorg31&P. Buhler\Irefnorg113&P. Buncic\Irefnorg34&O. Busch\Irefnorg133\Areforg*&Z. Buthelezi\Irefnorg73&J.B. Butt\Irefnorg15&J.T. Buxton\Irefnorg95&D. Caffarri\Irefnorg89&A. Caliva\Irefnorg105&E. Calvo Villar\Irefnorg110&R.S. Camacho\Irefnorg44&P. Camerini\Irefnorg25&A.A. Capon\Irefnorg113&F. Carnesecchi\Irefnorg10&J. Castillo Castellanos\Irefnorg137&A.J. Castro\Irefnorg130&E.A.R. Casula\Irefnorg54&F. Catalano\Irefnorg31&C. Ceballos Sanchez\Irefnorg52&P. Chakraborty\Irefnorg48&S. Chandra\Irefnorg141&B. Chang\Irefnorg127&W. Chang\Irefnorg6&S. Chapeland\Irefnorg34&M. Chartier\Irefnorg128&S. Chattopadhyay\Irefnorg141&S. Chattopadhyay\Irefnorg108&A. Chauvin\Irefnorg24&C. Cheshkov\Irefnorg135&B. Cheynis\Irefnorg135&V. Chibante Barroso\Irefnorg34&D.D. Chinellato\Irefnorg122&S. Cho\Irefnorg60&P. Chochula\Irefnorg34&T. Chowdhury\Irefnorg134&P. Christakoglou\Irefnorg89&C.H. Christensen\Irefnorg88&P. Christiansen\Irefnorg80&T. Chujo\Irefnorg133&C. Cicalo\Irefnorg54&L. Cifarelli\Irefnorg10,\Irefnorg27&F. Cindolo\Irefnorg53&J. Cleymans\Irefnorg125&F. Colamaria\Irefnorg52&D. Colella\Irefnorg52&A. Collu\Irefnorg79&M. Colocci\Irefnorg27&M. Concas\Irefnorg58\AreforgI&G. Conesa Balbastre\Irefnorg78&Z. Conesa del Valle\Irefnorg61&G. Contin\Irefnorg128&J.G. Contreras\Irefnorg37&T.M. Cormier\Irefnorg94&Y. Corrales Morales\Irefnorg58,\Irefnorg26&P. Cortese\Irefnorg32&M.R. Cosentino\Irefnorg123&F. Costa\Irefnorg34&S. Costanza\Irefnorg139&J. Crkovská\Irefnorg61&P. Crochet\Irefnorg134&E. Cuautle\Irefnorg70&L. Cunqueiro\Irefnorg94&D. Dabrowski\Irefnorg142&T. Dahms\Irefnorg117,\Irefnorg103&A. Dainese\Irefnorg56&F.P.A. Damas\Irefnorg114,\Irefnorg137&S. Dani\Irefnorg66&M.C. Danisch\Irefnorg102&A. Danu\Irefnorg68&D. Das\Irefnorg108&I. Das\Irefnorg108&S. Das\Irefnorg3&A. Dash\Irefnorg85&S. Dash\Irefnorg48&A. Dashi\Irefnorg103&S. De\Irefnorg85,\Irefnorg49&A. De Caro\Irefnorg30&G. de Cataldo\Irefnorg52&C. de Conti\Irefnorg121&J. de Cuveland\Irefnorg39&A. De Falco\Irefnorg24&D. De Gruttola\Irefnorg10&N. De Marco\Irefnorg58&S. De Pasquale\Irefnorg30&R.D. De Souza\Irefnorg122&S. Deb\Irefnorg49&H.F. Degenhardt\Irefnorg121&A. Deisting\Irefnorg105,\Irefnorg102&K.R. Deja\Irefnorg142&A. Deloff\Irefnorg84&S. Delsanto\Irefnorg26,\Irefnorg131&P. Dhankher\Irefnorg48&D. Di Bari\Irefnorg33&A. Di Mauro\Irefnorg34&R.A. Diaz\Irefnorg8&T. Dietel\Irefnorg125&P. Dillenseger\Irefnorg69&Y. Ding\Irefnorg6&R. Divià\Irefnorg34&Ø. Djuvsland\Irefnorg22&U. Dmitrieva\Irefnorg62&A. Dobrin\Irefnorg68,\Irefnorg34&D. Domenicis Gimenez\Irefnorg121&B. Dönigus\Irefnorg69&O. Dordic\Irefnorg21&A.K. Dubey\Irefnorg141&A. Dubla\Irefnorg105&S. Dudi\Irefnorg98&A.K. Duggal\Irefnorg98&M. Dukhishyam\Irefnorg85&P. Dupieux\Irefnorg134&R.J. Ehlers\Irefnorg146&D. Elia\Irefnorg52&H. Engel\Irefnorg74&E. Epple\Irefnorg146&B. Erazmus\Irefnorg114&F. Erhardt\Irefnorg97&A. Erokhin\Irefnorg112&M.R. Ersdal\Irefnorg22&B. Espagnon\Irefnorg61&G. Eulisse\Irefnorg34&J. Eum\Irefnorg18&D. Evans\Irefnorg109&S. Evdokimov\Irefnorg90&L. Fabbietti\Irefnorg117,\Irefnorg103&M. Faggin\Irefnorg29&J. Faivre\Irefnorg78&A. Fantoni\Irefnorg51&M. Fasel\Irefnorg94&P. Fecchio\Irefnorg31&L. Feldkamp\Irefnorg144&A. Feliciello\Irefnorg58&G. Feofilov\Irefnorg112&A. Fernández Téllez\Irefnorg44&A. Ferrero\Irefnorg137&A. Ferretti\Irefnorg26&A. Festanti\Irefnorg34&V.J.G. Feuillard\Irefnorg102&J. Figiel\Irefnorg118&S. Filchagin\Irefnorg107&D. Finogeev\Irefnorg62&F.M. Fionda\Irefnorg22&G. Fiorenza\Irefnorg52&F. Flor\Irefnorg126&S. Foertsch\Irefnorg73&P. Foka\Irefnorg105&S. Fokin\Irefnorg87&E. Fragiacomo\Irefnorg59&A. Francisco\Irefnorg114&U. Frankenfeld\Irefnorg105&G.G. Fronze\Irefnorg26&U. Fuchs\Irefnorg34&C. Furget\Irefnorg78&A. Furs\Irefnorg62&M. Fusco Girard\Irefnorg30&J.J. Gaardhøje\Irefnorg88&M. Gagliardi\Irefnorg26&A.M. Gago\Irefnorg110&A. Gal\Irefnorg136&C.D. Galvan\Irefnorg120&P. Ganoti\Irefnorg83&C. Garabatos\Irefnorg105&E. Garcia-Solis\Irefnorg11&K. Garg\Irefnorg28&C. Gargiulo\Irefnorg34&K. Garner\Irefnorg144&P. Gasik\Irefnorg103,\Irefnorg117&E.F. Gauger\Irefnorg119&M.B. Gay Ducati\Irefnorg71&M. Germain\Irefnorg114&J. Ghosh\Irefnorg108&P. Ghosh\Irefnorg141&S.K. Ghosh\Irefnorg3&P. Gianotti\Irefnorg51&P. Giubellino\Irefnorg105,\Irefnorg58&P. Giubilato\Irefnorg29&P. Glässel\Irefnorg102&D.M. Goméz Coral\Irefnorg72&A. Gomez Ramirez\Irefnorg74&V. Gonzalez\Irefnorg105&P. González-Zamora\Irefnorg44&S. Gorbunov\Irefnorg39&L. Görlich\Irefnorg118&S. Gotovac\Irefnorg35&V. Grabski\Irefnorg72&L.K. Graczykowski\Irefnorg142&K.L. Graham\Irefnorg109&L. Greiner\Irefnorg79&A. Grelli\Irefnorg63&C. Grigoras\Irefnorg34&V. Grigoriev\Irefnorg91&A. Grigoryan\Irefnorg1&S. Grigoryan\Irefnorg75&O.S. Groettvik\Irefnorg22&J.M. Gronefeld\Irefnorg105&F. Grosa\Irefnorg31&J.F. Grosse-Oetringhaus\Irefnorg34&R. Grosso\Irefnorg105&R. Guernane\Irefnorg78&B. Guerzoni\Irefnorg27&M. Guittiere\Irefnorg114&K. Gulbrandsen\Irefnorg88&T. Gunji\Irefnorg132&A. Gupta\Irefnorg99&R. Gupta\Irefnorg99&I.B. Guzman\Irefnorg44&R. Haake\Irefnorg34,\Irefnorg146&M.K. Habib\Irefnorg105&C. Hadjidakis\Irefnorg61&H. Hamagaki\Irefnorg81&G. Hamar\Irefnorg145&M. Hamid\Irefnorg6&J.C. Hamon\Irefnorg136&R. Hannigan\Irefnorg119&M.R. Haque\Irefnorg63&A. Harlenderova\Irefnorg105&J.W. Harris\Irefnorg146&A. Harton\Irefnorg11&H. Hassan\Irefnorg78&D. Hatzifotiadou\Irefnorg53,\Irefnorg10&P. Hauer\Irefnorg42&S. Hayashi\Irefnorg132&S.T. Heckel\Irefnorg69&E. Hellbär\Irefnorg69&H. Helstrup\Irefnorg36&A. Herghelegiu\Irefnorg47&E.G. Hernandez\Irefnorg44&G. Herrera Corral\Irefnorg9&F. Herrmann\Irefnorg144&K.F. Hetland\Irefnorg36&T.E. Hilden\Irefnorg43&H. Hillemanns\Irefnorg34&C. Hills\Irefnorg128&B. Hippolyte\Irefnorg136&B. Hohlweger\Irefnorg103&D. Horak\Irefnorg37&S. Hornung\Irefnorg105&R. Hosokawa\Irefnorg133&P. Hristov\Irefnorg34&C. Huang\Irefnorg61&C. Hughes\Irefnorg130&P. Huhn\Irefnorg69&T.J. Humanic\Irefnorg95&H. Hushnud\Irefnorg108&L.A. Husova\Irefnorg144&N. Hussain\Irefnorg41&S.A. Hussain\Irefnorg15&T. Hussain\Irefnorg17&D. Hutter\Irefnorg39&D.S. Hwang\Irefnorg19&J.P. Iddon\Irefnorg128&R. Ilkaev\Irefnorg107&M. Inaba\Irefnorg133&M. Ippolitov\Irefnorg87&M.S. Islam\Irefnorg108&M. Ivanov\Irefnorg105&V. Ivanov\Irefnorg96&V. Izucheev\Irefnorg90&B. Jacak\Irefnorg79&N. Jacazio\Irefnorg27&P.M. Jacobs\Irefnorg79&M.B. Jadhav\Irefnorg48&S. Jadlovska\Irefnorg116&J. Jadlovsky\Irefnorg116&S. Jaelani\Irefnorg63&C. Jahnke\Irefnorg121&M.J. Jakubowska\Irefnorg142&M.A. Janik\Irefnorg142&M. Jercic\Irefnorg97&O. Jevons\Irefnorg109&R.T. Jimenez Bustamante\Irefnorg105&M. Jin\Irefnorg126&F. Jonas\Irefnorg144,\Irefnorg94&P.G. Jones\Irefnorg109&A. Jusko\Irefnorg109&P. Kalinak\Irefnorg65&A. Kalweit\Irefnorg34&J.H. Kang\Irefnorg147&V. Kaplin\Irefnorg91&S. Kar\Irefnorg6&A. Karasu Uysal\Irefnorg77&O. Karavichev\Irefnorg62&T. Karavicheva\Irefnorg62&P. Karczmarczyk\Irefnorg34&E. Karpechev\Irefnorg62&U. Kebschull\Irefnorg74&R. Keidel\Irefnorg46&M. Keil\Irefnorg34&B. Ketzer\Irefnorg42&Z. Khabanova\Irefnorg89&A.M. Khan\Irefnorg6&S. Khan\Irefnorg17&S.A. Khan\Irefnorg141&A. Khanzadeev\Irefnorg96&Y. Kharlov\Irefnorg90&A. Khatun\Irefnorg17&A. Khuntia\Irefnorg118,\Irefnorg49&B. Kileng\Irefnorg36&B. Kim\Irefnorg60&B. Kim\Irefnorg133&D. Kim\Irefnorg147&D.J. Kim\Irefnorg127&E.J. Kim\Irefnorg13&H. Kim\Irefnorg147&J.S. Kim\Irefnorg40&J. Kim\Irefnorg102&J. Kim\Irefnorg147&J. Kim\Irefnorg13&M. Kim\Irefnorg60,\Irefnorg102&S. Kim\Irefnorg19&T. Kim\Irefnorg147&T. Kim\Irefnorg147&K. Kindra\Irefnorg98&S. Kirsch\Irefnorg39&I. Kisel\Irefnorg39&S. Kiselev\Irefnorg64&A. Kisiel\Irefnorg142&J.L. Klay\Irefnorg5&C. Klein\Irefnorg69&J. Klein\Irefnorg58&S. Klein\Irefnorg79&C. Klein-Bösing\Irefnorg144&S. Klewin\Irefnorg102&A. Kluge\Irefnorg34&M.L. Knichel\Irefnorg34&A.G. Knospe\Irefnorg126&C. Kobdaj\Irefnorg115&M. Kofarago\Irefnorg145&M.K. Köhler\Irefnorg102&T. Kollegger\Irefnorg105&A. Kondratyev\Irefnorg75&N. Kondratyeva\Irefnorg91&E. Kondratyuk\Irefnorg90&P.J. Konopka\Irefnorg34&M. Konyushikhin\Irefnorg143&L. Koska\Irefnorg116&O. Kovalenko\Irefnorg84&V. Kovalenko\Irefnorg112&M. Kowalski\Irefnorg118&I. Králik\Irefnorg65&A. Kravčáková\Irefnorg38&L. Kreis\Irefnorg105&M. Krivda\Irefnorg109,\Irefnorg65&F. Krizek\Irefnorg93&K. Krizkova Gajdosova\Irefnorg37,\Irefnorg88&M. Krüger\Irefnorg69&E. Kryshen\Irefnorg96&M. Krzewicki\Irefnorg39&A.M. Kubera\Irefnorg95&V. Kučera\Irefnorg60&C. Kuhn\Irefnorg136&P.G. Kuijer\Irefnorg89&L. Kumar\Irefnorg98&S. Kumar\Irefnorg48&S. Kundu\Irefnorg85&P. Kurashvili\Irefnorg84&A. Kurepin\Irefnorg62&A.B. Kurepin\Irefnorg62&S. Kushpil\Irefnorg93&J. Kvapil\Irefnorg109&M.J. Kweon\Irefnorg60&Y. Kwon\Irefnorg147&S.L. La Pointe\Irefnorg39&P. La Rocca\Irefnorg28&Y.S. Lai\Irefnorg79&R. Langoy\Irefnorg124&K. Lapidus\Irefnorg34,\Irefnorg146&A. Lardeux\Irefnorg21&P. Larionov\Irefnorg51&E. Laudi\Irefnorg34&R. Lavicka\Irefnorg37&T. Lazareva\Irefnorg112&R. Lea\Irefnorg25&L. Leardini\Irefnorg102&S. Lee\Irefnorg147&F. Lehas\Irefnorg89&S. Lehner\Irefnorg113&J. Lehrbach\Irefnorg39&R.C. Lemmon\Irefnorg92&I. León Monzón\Irefnorg120&M. Lettrich\Irefnorg34&P. Lévai\Irefnorg145&X. Li\Irefnorg12&X.L. Li\Irefnorg6&J. Lien\Irefnorg124&R. Lietava\Irefnorg109&B. Lim\Irefnorg18&S. Lindal\Irefnorg21&V. Lindenstruth\Irefnorg39&S.W. Lindsay\Irefnorg128&C. Lippmann\Irefnorg105&M.A. Lisa\Irefnorg95&V. Litichevskyi\Irefnorg43&A. Liu\Irefnorg79&S. Liu\Irefnorg95&H.M. Ljunggren\Irefnorg80&W.J. Llope\Irefnorg143&D.F. Lodato\Irefnorg63&V. Loginov\Irefnorg91&C. Loizides\Irefnorg94&P. Loncar\Irefnorg35&X. Lopez\Irefnorg134&E. López Torres\Irefnorg8&P. Luettig\Irefnorg69&J.R. Luhder\Irefnorg144&M. Lunardon\Irefnorg29&G. Luparello\Irefnorg59&M. Lupi\Irefnorg34&A. Maevskaya\Irefnorg62&M. Mager\Irefnorg34&S.M. Mahmood\Irefnorg21&T. Mahmoud\Irefnorg42&A. Maire\Irefnorg136&R.D. Majka\Irefnorg146&M. Malaev\Irefnorg96&Q.W. Malik\Irefnorg21&L. Malinina\Irefnorg75\AreforgII&D. Mal’Kevich\Irefnorg64&P. Malzacher\Irefnorg105&A. Mamonov\Irefnorg107&V. Manko\Irefnorg87&F. Manso\Irefnorg134&V. Manzari\Irefnorg52&Y. Mao\Irefnorg6&M. Marchisone\Irefnorg135&J. Mareš\Irefnorg67&G.V. Margagliotti\Irefnorg25&A. Margotti\Irefnorg53&J. Margutti\Irefnorg63&A. Marín\Irefnorg105&C. Markert\Irefnorg119&M. Marquard\Irefnorg69&N.A. Martin\Irefnorg102&P. Martinengo\Irefnorg34&J.L. Martinez\Irefnorg126&M.I. Martínez\Irefnorg44&G. Martínez García\Irefnorg114&M. Martinez Pedreira\Irefnorg34&S. Masciocchi\Irefnorg105&M. Masera\Irefnorg26&A. Masoni\Irefnorg54&L. Massacrier\Irefnorg61&E. Masson\Irefnorg114&A. Mastroserio\Irefnorg138,\Irefnorg52&A.M. Mathis\Irefnorg103,\Irefnorg117&P.F.T. Matuoka\Irefnorg121&A. Matyja\Irefnorg118&C. Mayer\Irefnorg118&M. Mazzilli\Irefnorg33&M.A. Mazzoni\Irefnorg57&A.F. Mechler\Irefnorg69&F. Meddi\Irefnorg23&Y. Melikyan\Irefnorg91&A. Menchaca-Rocha\Irefnorg72&E. Meninno\Irefnorg30&M. Meres\Irefnorg14&S. Mhlanga\Irefnorg125&Y. Miake\Irefnorg133&L. Micheletti\Irefnorg26&M.M. Mieskolainen\Irefnorg43&D.L. Mihaylov\Irefnorg103&K. Mikhaylov\Irefnorg64,\Irefnorg75&A. Mischke\Irefnorg63\Areforg*&A.N. Mishra\Irefnorg70&D. Miśkowiec\Irefnorg105&C.M. Mitu\Irefnorg68&N. Mohammadi\Irefnorg34&A.P. Mohanty\Irefnorg63&B. Mohanty\Irefnorg85&M. Mohisin Khan\Irefnorg17\AreforgIII&M.M. Mondal\Irefnorg66&C. Mordasini\Irefnorg103&D.A. Moreira De Godoy\Irefnorg144&L.A.P. Moreno\Irefnorg44&S. Moretto\Irefnorg29&A. Morreale\Irefnorg114&A. Morsch\Irefnorg34&T. Mrnjavac\Irefnorg34&V. Muccifora\Irefnorg51&E. Mudnic\Irefnorg35&D. Mühlheim\Irefnorg144&S. Muhuri\Irefnorg141&J.D. Mulligan\Irefnorg79,\Irefnorg146&M.G. Munhoz\Irefnorg121&K. Münning\Irefnorg42&R.H. Munzer\Irefnorg69&H. Murakami\Irefnorg132&S. Murray\Irefnorg73&L. Musa\Irefnorg34&J. Musinsky\Irefnorg65&C.J. Myers\Irefnorg126&J.W. Myrcha\Irefnorg142&B. Naik\Irefnorg48&R. Nair\Irefnorg84&B.K. Nandi\Irefnorg48&R. Nania\Irefnorg10,\Irefnorg53&E. Nappi\Irefnorg52&M.U. Naru\Irefnorg15&A.F. Nassirpour\Irefnorg80&H. Natal da Luz\Irefnorg121&C. Nattrass\Irefnorg130&K. Nayak\Irefnorg85&R. Nayak\Irefnorg48&T.K. Nayak\Irefnorg141,\Irefnorg85&S. Nazarenko\Irefnorg107&R.A. Negrao De Oliveira\Irefnorg69&L. Nellen\Irefnorg70&S.V. Nesbo\Irefnorg36&G. Neskovic\Irefnorg39&F. Ng\Irefnorg126&B.S. Nielsen\Irefnorg88&S. Nikolaev\Irefnorg87&S. Nikulin\Irefnorg87&V. Nikulin\Irefnorg96&F. Noferini\Irefnorg53,\Irefnorg10&P. Nomokonov\Irefnorg75&G. Nooren\Irefnorg63&J.C.C. Noris\Irefnorg44&J. Norman\Irefnorg78&P. Nowakowski\Irefnorg142&A. Nyanin\Irefnorg87&J. Nystrand\Irefnorg22&M. Ogino\Irefnorg81&A. Ohlson\Irefnorg102&J. Oleniacz\Irefnorg142&A.C. Oliveira Da Silva\Irefnorg121&M.H. Oliver\Irefnorg146&J. Onderwaater\Irefnorg105&C. Oppedisano\Irefnorg58&R. Orava\Irefnorg43&A. Ortiz Velasquez\Irefnorg70&A. Oskarsson\Irefnorg80&J. Otwinowski\Irefnorg118&K. Oyama\Irefnorg81&Y. Pachmayer\Irefnorg102&V. Pacik\Irefnorg88&D. Pagano\Irefnorg140&G. Paić\Irefnorg70&P. Palni\Irefnorg6&J. Pan\Irefnorg143&A.K. Pandey\Irefnorg48&S. Panebianco\Irefnorg137&V. Papikyan\Irefnorg1&P. Pareek\Irefnorg49&J. Park\Irefnorg60&J.E. Parkkila\Irefnorg127&S. Parmar\Irefnorg98&A. Passfeld\Irefnorg144&S.P. Pathak\Irefnorg126&R.N. Patra\Irefnorg141&B. Paul\Irefnorg58&H. Pei\Irefnorg6&T. Peitzmann\Irefnorg63&X. Peng\Irefnorg6&L.G. Pereira\Irefnorg71&H. Pereira Da Costa\Irefnorg137&D. Peresunko\Irefnorg87&G.M. Perez\Irefnorg8&E. Perez Lezama\Irefnorg69&V. Peskov\Irefnorg69&Y. Pestov\Irefnorg4&V. Petráček\Irefnorg37&M. Petrovici\Irefnorg47&R.P. Pezzi\Irefnorg71&S. Piano\Irefnorg59&M. Pikna\Irefnorg14&P. Pillot\Irefnorg114&L.O.D.L. Pimentel\Irefnorg88&O. Pinazza\Irefnorg53,\Irefnorg34&L. Pinsky\Irefnorg126&S. Pisano\Irefnorg51&D.B. Piyarathna\Irefnorg126&M. Płoskoń\Irefnorg79&M. Planinic\Irefnorg97&F. Pliquett\Irefnorg69&J. Pluta\Irefnorg142&S. Pochybova\Irefnorg145&M.G. Poghosyan\Irefnorg94&B. Polichtchouk\Irefnorg90&N. Poljak\Irefnorg97&W. Poonsawat\Irefnorg115&A. Pop\Irefnorg47&H. Poppenborg\Irefnorg144&S. Porteboeuf-Houssais\Irefnorg134&V. Pozdniakov\Irefnorg75&S.K. Prasad\Irefnorg3&R. Preghenella\Irefnorg53&F. Prino\Irefnorg58&C.A. Pruneau\Irefnorg143&I. Pshenichnov\Irefnorg62&M. Puccio\Irefnorg26,\Irefnorg34&V. Punin\Irefnorg107&K. Puranapanda\Irefnorg141&J. Putschke\Irefnorg143&R.E. Quishpe\Irefnorg126&S. Ragoni\Irefnorg109&S. Raha\Irefnorg3&S. Rajput\Irefnorg99&J. Rak\Irefnorg127&A. Rakotozafindrabe\Irefnorg137&L. Ramello\Irefnorg32&F. Rami\Irefnorg136&R. Raniwala\Irefnorg100&S. Raniwala\Irefnorg100&S.S. Räsänen\Irefnorg43&B.T. Rascanu\Irefnorg69&R. Rath\Irefnorg49&V. Ratza\Irefnorg42&I. Ravasenga\Irefnorg31&K.F. Read\Irefnorg94,\Irefnorg130&K. Redlich\Irefnorg84\AreforgIV&A. Rehman\Irefnorg22&P. Reichelt\Irefnorg69&F. Reidt\Irefnorg34&X. Ren\Irefnorg6&R. Renfordt\Irefnorg69&A. Reshetin\Irefnorg62&J.-P. Revol\Irefnorg10&K. Reygers\Irefnorg102&V. Riabov\Irefnorg96&T. Richert\Irefnorg88,\Irefnorg80&M. Richter\Irefnorg21&P. Riedler\Irefnorg34&W. Riegler\Irefnorg34&F. Riggi\Irefnorg28&C. Ristea\Irefnorg68&S.P. Rode\Irefnorg49&M. Rodríguez Cahuantzi\Irefnorg44&K. Røed\Irefnorg21&R. Rogalev\Irefnorg90&E. Rogochaya\Irefnorg75&D. Rohr\Irefnorg34&D. Röhrich\Irefnorg22&P.S. Rokita\Irefnorg142&F. Ronchetti\Irefnorg51&E.D. Rosas\Irefnorg70&K. Roslon\Irefnorg142&P. Rosnet\Irefnorg134&A. Rossi\Irefnorg56,\Irefnorg29&A. Rotondi\Irefnorg139&F. Roukoutakis\Irefnorg83&A. Roy\Irefnorg49&P. Roy\Irefnorg108&O.V. Rueda\Irefnorg80&R. Rui\Irefnorg25&B. Rumyantsev\Irefnorg75&A. Rustamov\Irefnorg86&E. Ryabinkin\Irefnorg87&Y. Ryabov\Irefnorg96&A. Rybicki\Irefnorg118&H. Rytkonen\Irefnorg127&S. Saarinen\Irefnorg43&S. Sadhu\Irefnorg141&S. Sadovsky\Irefnorg90&K. Šafařík\Irefnorg37,\Irefnorg34&S.K. Saha\Irefnorg141&B. Sahoo\Irefnorg48&P. Sahoo\Irefnorg49&R. Sahoo\Irefnorg49&S. Sahoo\Irefnorg66&P.K. Sahu\Irefnorg66&J. Saini\Irefnorg141&S. Sakai\Irefnorg133&S. Sambyal\Irefnorg99&V. Samsonov\Irefnorg91,\Irefnorg96&A. Sandoval\Irefnorg72&A. Sarkar\Irefnorg73&D. Sarkar\Irefnorg143,\Irefnorg141&N. Sarkar\Irefnorg141&P. Sarma\Irefnorg41&V.M. Sarti\Irefnorg103&M.H.P. Sas\Irefnorg63&E. Scapparone\Irefnorg53&B. Schaefer\Irefnorg94&J. Schambach\Irefnorg119&H.S. Scheid\Irefnorg69&C. Schiaua\Irefnorg47&R. Schicker\Irefnorg102&A. Schmah\Irefnorg102&C. Schmidt\Irefnorg105&H.R. Schmidt\Irefnorg101&M.O. Schmidt\Irefnorg102&M. Schmidt\Irefnorg101&N.V. Schmidt\Irefnorg94,\Irefnorg69&A.R. Schmier\Irefnorg130&J. Schukraft\Irefnorg34,\Irefnorg88&Y. Schutz\Irefnorg136,\Irefnorg34&K. Schwarz\Irefnorg105&K. Schweda\Irefnorg105&G. Scioli\Irefnorg27&E. Scomparin\Irefnorg58&M. Šefčík\Irefnorg38&J.E. Seger\Irefnorg16&Y. Sekiguchi\Irefnorg132&D. Sekihata\Irefnorg45&I. Selyuzhenkov\Irefnorg105,\Irefnorg91&S. Senyukov\Irefnorg136&E. Serradilla\Irefnorg72&P. Sett\Irefnorg48&A. Sevcenco\Irefnorg68&A. Shabanov\Irefnorg62&A. Shabetai\Irefnorg114&R. Shahoyan\Irefnorg34&W. Shaikh\Irefnorg108&A. Shangaraev\Irefnorg90&A. Sharma\Irefnorg98&A. Sharma\Irefnorg99&M. Sharma\Irefnorg99&N. Sharma\Irefnorg98&A.I. Sheikh\Irefnorg141&K. Shigaki\Irefnorg45&M. Shimomura\Irefnorg82&S. Shirinkin\Irefnorg64&Q. Shou\Irefnorg111&Y. Sibiriak\Irefnorg87&S. Siddhanta\Irefnorg54&T. Siemiarczuk\Irefnorg84&D. Silvermyr\Irefnorg80&G. Simatovic\Irefnorg89&G. Simonetti\Irefnorg103,\Irefnorg34&R. Singh\Irefnorg85&R. Singh\Irefnorg99&V.K. Singh\Irefnorg141&V. Singhal\Irefnorg141&T. Sinha\Irefnorg108&B. Sitar\Irefnorg14&M. Sitta\Irefnorg32&T.B. Skaali\Irefnorg21&M. Slupecki\Irefnorg127&N. Smirnov\Irefnorg146&R.J.M. Snellings\Irefnorg63&T.W. Snellman\Irefnorg127&J. Sochan\Irefnorg116&C. Soncco\Irefnorg110&J. Song\Irefnorg60&A. Songmoolnak\Irefnorg115&F. Soramel\Irefnorg29&S. Sorensen\Irefnorg130&I. Sputowska\Irefnorg118&J. Stachel\Irefnorg102&I. Stan\Irefnorg68&P. Stankus\Irefnorg94&P.J. Steffanic\Irefnorg130&E. Stenlund\Irefnorg80&D. Stocco\Irefnorg114&M.M. Storetvedt\Irefnorg36&P. Strmen\Irefnorg14&A.A.P. Suaide\Irefnorg121&T. Sugitate\Irefnorg45&C. Suire\Irefnorg61&M. Suleymanov\Irefnorg15&M. Suljic\Irefnorg34&R. Sultanov\Irefnorg64&M. Šumbera\Irefnorg93&S. Sumowidagdo\Irefnorg50&K. Suzuki\Irefnorg113&S. Swain\Irefnorg66&A. Szabo\Irefnorg14&I. Szarka\Irefnorg14&U. Tabassam\Irefnorg15&G. Taillepied\Irefnorg134&J. Takahashi\Irefnorg122&G.J. Tambave\Irefnorg22&S. Tang\Irefnorg6&M. Tarhini\Irefnorg114&M.G. Tarzila\Irefnorg47&A. Tauro\Irefnorg34&G. Tejeda Muñoz\Irefnorg44&A. Telesca\Irefnorg34&C. Terrevoli\Irefnorg29,\Irefnorg126&D. Thakur\Irefnorg49&S. Thakur\Irefnorg141&D. Thomas\Irefnorg119&F. Thoresen\Irefnorg88&R. Tieulent\Irefnorg135&A. Tikhonov\Irefnorg62&A.R. Timmins\Irefnorg126&A. Toia\Irefnorg69&N. Topilskaya\Irefnorg62&M. Toppi\Irefnorg51&F. Torales-Acosta\Irefnorg20&S.R. Torres\Irefnorg120&S. Tripathy\Irefnorg49&T. Tripathy\Irefnorg48&S. Trogolo\Irefnorg26,\Irefnorg29&G. Trombetta\Irefnorg33&L. Tropp\Irefnorg38&V. Trubnikov\Irefnorg2&W.H. Trzaska\Irefnorg127&T.P. Trzcinski\Irefnorg142&B.A. Trzeciak\Irefnorg63&T. Tsuji\Irefnorg132&A. Tumkin\Irefnorg107&R. Turrisi\Irefnorg56&T.S. Tveter\Irefnorg21&K. Ullaland\Irefnorg22&E.N. Umaka\Irefnorg126&A. Uras\Irefnorg135&G.L. Usai\Irefnorg24&A. Utrobicic\Irefnorg97&M. Vala\Irefnorg38,\Irefnorg116&N. Valle\Irefnorg139&N. van der Kolk\Irefnorg63&L.V.R. van Doremalen\Irefnorg63&M. van Leeuwen\Irefnorg63&P. Vande Vyvre\Irefnorg34&D. Varga\Irefnorg145&A. Vargas\Irefnorg44&M. Vargyas\Irefnorg127&R. Varma\Irefnorg48&M. Vasileiou\Irefnorg83&A. Vasiliev\Irefnorg87&O. Vázquez Doce\Irefnorg117,\Irefnorg103&V. Vechernin\Irefnorg112&A.M. Veen\Irefnorg63&E. Vercellin\Irefnorg26&S. Vergara Limón\Irefnorg44&L. Vermunt\Irefnorg63&R. Vernet\Irefnorg7&R. Vértesi\Irefnorg145&L. Vickovic\Irefnorg35&J. Viinikainen\Irefnorg127&Z. Vilakazi\Irefnorg131&O. Villalobos Baillie\Irefnorg109&A. Villatoro Tello\Irefnorg44&G. Vino\Irefnorg52&A. Vinogradov\Irefnorg87&T. Virgili\Irefnorg30&V. Vislavicius\Irefnorg88&A. Vodopyanov\Irefnorg75&B. Volkel\Irefnorg34&M.A. Völkl\Irefnorg101&K. Voloshin\Irefnorg64&S.A. Voloshin\Irefnorg143&G. Volpe\Irefnorg33&B. von Haller\Irefnorg34&I. Vorobyev\Irefnorg103,\Irefnorg117&D. Voscek\Irefnorg116&J. Vrláková\Irefnorg38&B. Wagner\Irefnorg22&M. Wang\Irefnorg6&Y. Watanabe\Irefnorg133&M. Weber\Irefnorg113&S.G. Weber\Irefnorg105&A. Wegrzynek\Irefnorg34&D.F. Weiser\Irefnorg102&S.C. Wenzel\Irefnorg34&J.P. Wessels\Irefnorg144&U. Westerhoff\Irefnorg144&A.M. Whitehead\Irefnorg125&E. Widmann\Irefnorg113&J. Wiechula\Irefnorg69&J. Wikne\Irefnorg21&G. Wilk\Irefnorg84&J. Wilkinson\Irefnorg53&G.A. Willems\Irefnorg144,\Irefnorg34&E. Willsher\Irefnorg109&B. Windelband\Irefnorg102&W.E. Witt\Irefnorg130&Y. Wu\Irefnorg129&R. Xu\Irefnorg6&S. Yalcin\Irefnorg77&K. Yamakawa\Irefnorg45&S. Yang\Irefnorg22&S. Yano\Irefnorg137&Z. Yin\Irefnorg6&H. Yokoyama\Irefnorg63&I.-K. Yoo\Irefnorg18&J.H. Yoon\Irefnorg60&S. Yuan\Irefnorg22&A. Yuncu\Irefnorg102&V. Yurchenko\Irefnorg2&V. Zaccolo\Irefnorg25,\Irefnorg58&A. Zaman\Irefnorg15&C. Zampolli\Irefnorg34&H.J.C. Zanoli\Irefnorg121&N. Zardoshti\Irefnorg109,\Irefnorg34&A. Zarochentsev\Irefnorg112&P. Závada\Irefnorg67&N. Zaviyalov\Irefnorg107&H. Zbroszczyk\Irefnorg142&M. Zhalov\Irefnorg96&X. Zhang\Irefnorg6&Y. Zhang\Irefnorg6&Z. Zhang\Irefnorg6,\Irefnorg134&C. Zhao\Irefnorg21&V. Zherebchevskii\Irefnorg112&N. Zhigareva\Irefnorg64&D. Zhou\Irefnorg6&Y. Zhou\Irefnorg88&Z. Zhou\Irefnorg22&H. Zhu\Irefnorg6&J. Zhu\Irefnorg6&Y. Zhu\Irefnorg6&A. Zichichi\Irefnorg27,\Irefnorg10&M.B. Zimmermann\Irefnorg34&G. Zinovjev\Irefnorg2&N. Zurlo\Irefnorg140&

Affiliation notes

{Authlist}

\Adef

org*Deceased

\Adef

orgIDipartimento DET del Politecnico di Torino, Turin, Italy

\Adef

orgIIM.V. Lomonosov Moscow State University, D.V. Skobeltsyn Institute of Nuclear, Physics, Moscow, Russia

\Adef

orgIIIDepartment of Applied Physics, Aligarh Muslim University, Aligarh, India

\Adef

orgIVInstitute of Theoretical Physics, University of Wroclaw, Poland

Collaboration Institutes

{Authlist}

\Idef

org1A.I. Alikhanyan National Science Laboratory (Yerevan Physics Institute) Foundation, Yerevan, Armenia

\Idef

org2Bogolyubov Institute for Theoretical Physics, National Academy of Sciences of Ukraine, Kiev, Ukraine

\Idef

org3Bose Institute, Department of Physics and Centre for Astroparticle Physics and Space Science (CAPSS), Kolkata, India

\Idef

org4Budker Institute for Nuclear Physics, Novosibirsk, Russia

\Idef

org5California Polytechnic State University, San Luis Obispo, California, United States

\Idef

org6Central China Normal University, Wuhan, China

\Idef

org7Centre de Calcul de l’IN2P3, Villeurbanne, Lyon, France

\Idef

org8Centro de Aplicaciones Tecnológicas y Desarrollo Nuclear (CEADEN), Havana, Cuba

\Idef

org9Centro de Investigación y de Estudios Avanzados (CINVESTAV), Mexico City and Mérida, Mexico

\Idef

org10Centro Fermi - Museo Storico della Fisica e Centro Studi e Ricerche “Enrico Fermi’, Rome, Italy

\Idef

org11Chicago State University, Chicago, Illinois, United States

\Idef

org12China Institute of Atomic Energy, Beijing, China

\Idef

org13Chonbuk National University, Jeonju, Republic of Korea

\Idef

org14Comenius University Bratislava, Faculty of Mathematics, Physics and Informatics, Bratislava, Slovakia

\Idef

org15COMSATS University Islamabad, Islamabad, Pakistan

\Idef

org16Creighton University, Omaha, Nebraska, United States

\Idef

org17Department of Physics, Aligarh Muslim University, Aligarh, India

\Idef

org18Department of Physics, Pusan National University, Pusan, Republic of Korea

\Idef

org19Department of Physics, Sejong University, Seoul, Republic of Korea

\Idef

org20Department of Physics, University of California, Berkeley, California, United States

\Idef

org21Department of Physics, University of Oslo, Oslo, Norway

\Idef

org22Department of Physics and Technology, University of Bergen, Bergen, Norway

\Idef

org23Dipartimento di Fisica dell’Università ’La Sapienza’ and Sezione INFN, Rome, Italy

\Idef

org24Dipartimento di Fisica dell’Università and Sezione INFN, Cagliari, Italy

\Idef

org25Dipartimento di Fisica dell’Università and Sezione INFN, Trieste, Italy

\Idef

org26Dipartimento di Fisica dell’Università and Sezione INFN, Turin, Italy

\Idef

org27Dipartimento di Fisica e Astronomia dell’Università and Sezione INFN, Bologna, Italy

\Idef

org28Dipartimento di Fisica e Astronomia dell’Università and Sezione INFN, Catania, Italy

\Idef

org29Dipartimento di Fisica e Astronomia dell’Università and Sezione INFN, Padova, Italy

\Idef

org30Dipartimento di Fisica ‘E.R. Caianiello’ dell’Università and Gruppo Collegato INFN, Salerno, Italy

\Idef

org31Dipartimento DISAT del Politecnico and Sezione INFN, Turin, Italy

\Idef

org32Dipartimento di Scienze e Innovazione Tecnologica dell’Università del Piemonte Orientale and INFN Sezione di Torino, Alessandria, Italy

\Idef

org33Dipartimento Interateneo di Fisica ‘M. Merlin’ and Sezione INFN, Bari, Italy

\Idef

org34European Organization for Nuclear Research (CERN), Geneva, Switzerland

\Idef

org35Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, University of Split, Split, Croatia

\Idef

org36Faculty of Engineering and Science, Western Norway University of Applied Sciences, Bergen, Norway

\Idef

org37Faculty of Nuclear Sciences and Physical Engineering, Czech Technical University in Prague, Prague, Czech Republic

\Idef

org38Faculty of Science, P.J. Šafárik University, Košice, Slovakia

\Idef

org39Frankfurt Institute for Advanced Studies, Johann Wolfgang Goethe-Universität Frankfurt, Frankfurt, Germany

\Idef

org40Gangneung-Wonju National University, Gangneung, Republic of Korea

\Idef

org41Gauhati University, Department of Physics, Guwahati, India

\Idef

org42Helmholtz-Institut für Strahlen- und Kernphysik, Rheinische Friedrich-Wilhelms-Universität Bonn, Bonn, Germany

\Idef

org43Helsinki Institute of Physics (HIP), Helsinki, Finland

\Idef

org44High Energy Physics Group, Universidad Autónoma de Puebla, Puebla, Mexico

\Idef

org45Hiroshima University, Hiroshima, Japan

\Idef

org46Hochschule Worms, Zentrum für Technologietransfer und Telekommunikation (ZTT), Worms, Germany

\Idef

org47Horia Hulubei National Institute of Physics and Nuclear Engineering, Bucharest, Romania

\Idef

org48Indian Institute of Technology Bombay (IIT), Mumbai, India

\Idef

org49Indian Institute of Technology Indore, Indore, India

\Idef

org50Indonesian Institute of Sciences, Jakarta, Indonesia

\Idef

org51INFN, Laboratori Nazionali di Frascati, Frascati, Italy

\Idef

org52INFN, Sezione di Bari, Bari, Italy

\Idef

org53INFN, Sezione di Bologna, Bologna, Italy

\Idef

org54INFN, Sezione di Cagliari, Cagliari, Italy

\Idef

org55INFN, Sezione di Catania, Catania, Italy

\Idef

org56INFN, Sezione di Padova, Padova, Italy

\Idef

org57INFN, Sezione di Roma, Rome, Italy

\Idef

org58INFN, Sezione di Torino, Turin, Italy

\Idef

org59INFN, Sezione di Trieste, Trieste, Italy

\Idef

org60Inha University, Incheon, Republic of Korea

\Idef

org61Institut de Physique Nucléaire d’Orsay (IPNO), Institut National de Physique Nucléaire et de Physique des Particules (IN2P3/CNRS), Université de Paris-Sud, Université Paris-Saclay, Orsay, France

\Idef

org62Institute for Nuclear Research, Academy of Sciences, Moscow, Russia

\Idef

org63Institute for Subatomic Physics, Utrecht University/Nikhef, Utrecht, Netherlands

\Idef

org64Institute for Theoretical and Experimental Physics, Moscow, Russia

\Idef

org65Institute of Experimental Physics, Slovak Academy of Sciences, Košice, Slovakia

\Idef

org66Institute of Physics, Homi Bhabha National Institute, Bhubaneswar, India

\Idef

org67Institute of Physics of the Czech Academy of Sciences, Prague, Czech Republic

\Idef

org68Institute of Space Science (ISS), Bucharest, Romania

\Idef

org69Institut für Kernphysik, Johann Wolfgang Goethe-Universität Frankfurt, Frankfurt, Germany

\Idef

org70Instituto de Ciencias Nucleares, Universidad Nacional Autónoma de México, Mexico City, Mexico

\Idef

org71Instituto de Física, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, Brazil

\Idef

org72Instituto de Física, Universidad Nacional Autónoma de México, Mexico City, Mexico

\Idef

org73iThemba LABS, National Research Foundation, Somerset West, South Africa

\Idef

org74Johann-Wolfgang-Goethe Universität Frankfurt Institut für Informatik, Fachbereich Informatik und Mathematik, Frankfurt, Germany

\Idef

org75Joint Institute for Nuclear Research (JINR), Dubna, Russia

\Idef

org76Korea Institute of Science and Technology Information, Daejeon, Republic of Korea

\Idef

org77KTO Karatay University, Konya, Turkey

\Idef

org78Laboratoire de Physique Subatomique et de Cosmologie, Université Grenoble-Alpes, CNRS-IN2P3, Grenoble, France

\Idef

org79Lawrence Berkeley National Laboratory, Berkeley, California, United States

\Idef

org80Lund University Department of Physics, Division of Particle Physics, Lund, Sweden

\Idef

org81Nagasaki Institute of Applied Science, Nagasaki, Japan

\Idef

org82Nara Women’s University (NWU), Nara, Japan

\Idef

org83National and Kapodistrian University of Athens, School of Science, Department of Physics , Athens, Greece

\Idef

org84National Centre for Nuclear Research, Warsaw, Poland

\Idef

org85National Institute of Science Education and Research, Homi Bhabha National Institute, Jatni, India

\Idef

org86National Nuclear Research Center, Baku, Azerbaijan

\Idef

org87National Research Centre Kurchatov Institute, Moscow, Russia

\Idef

org88Niels Bohr Institute, University of Copenhagen, Copenhagen, Denmark

\Idef

org89Nikhef, National institute for subatomic physics, Amsterdam, Netherlands

\Idef

org90NRC Kurchatov Institute IHEP, Protvino, Russia

\Idef

org91NRNU Moscow Engineering Physics Institute, Moscow, Russia

\Idef

org92Nuclear Physics Group, STFC Daresbury Laboratory, Daresbury, United Kingdom

\Idef

org93Nuclear Physics Institute of the Czech Academy of Sciences, Řež u Prahy, Czech Republic

\Idef

org94Oak Ridge National Laboratory, Oak Ridge, Tennessee, United States

\Idef

org95Ohio State University, Columbus, Ohio, United States

\Idef

org96Petersburg Nuclear Physics Institute, Gatchina, Russia

\Idef

org97Physics department, Faculty of science, University of Zagreb, Zagreb, Croatia

\Idef

org98Physics Department, Panjab University, Chandigarh, India

\Idef

org99Physics Department, University of Jammu, Jammu, India

\Idef

org100Physics Department, University of Rajasthan, Jaipur, India

\Idef

org101Physikalisches Institut, Eberhard-Karls-Universität Tübingen, Tübingen, Germany

\Idef

org102Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany

\Idef

org103Physik Department, Technische Universität München, Munich, Germany

\Idef

org104Politecnico di Bari, Bari, Italy

\Idef

org105Research Division and ExtreMe Matter Institute EMMI, GSI Helmholtzzentrum für Schwerionenforschung GmbH, Darmstadt, Germany

\Idef

org106Rudjer Bošković Institute, Zagreb, Croatia

\Idef

org107Russian Federal Nuclear Center (VNIIEF), Sarov, Russia

\Idef

org108Saha Institute of Nuclear Physics, Homi Bhabha National Institute, Kolkata, India

\Idef

org109School of Physics and Astronomy, University of Birmingham, Birmingham, United Kingdom

\Idef

org110Sección Física, Departamento de Ciencias, Pontificia Universidad Católica del Perú, Lima, Peru

\Idef

org111Shanghai Institute of Applied Physics, Shanghai, China

\Idef

org112St. Petersburg State University, St. Petersburg, Russia

\Idef

org113Stefan Meyer Institut für Subatomare Physik (SMI), Vienna, Austria

\Idef

org114SUBATECH, IMT Atlantique, Université de Nantes, CNRS-IN2P3, Nantes, France

\Idef

org115Suranaree University of Technology, Nakhon Ratchasima, Thailand

\Idef

org116Technical University of Košice, Košice, Slovakia

\Idef

org117Technische Universität München, Excellence Cluster ’Universe’, Munich, Germany

\Idef

org118The Henryk Niewodniczanski Institute of Nuclear Physics, Polish Academy of Sciences, Cracow, Poland

\Idef

org119The University of Texas at Austin, Austin, Texas, United States

\Idef

org120Universidad Autónoma de Sinaloa, Culiacán, Mexico

\Idef

org121Universidade de São Paulo (USP), São Paulo, Brazil

\Idef

org122Universidade Estadual de Campinas (UNICAMP), Campinas, Brazil

\Idef

org123Universidade Federal do ABC, Santo Andre, Brazil

\Idef

org124University College of Southeast Norway, Tonsberg, Norway

\Idef

org125University of Cape Town, Cape Town, South Africa

\Idef

org126University of Houston, Houston, Texas, United States

\Idef

org127University of Jyväskylä, Jyväskylä, Finland

\Idef

org128University of Liverpool, Liverpool, United Kingdom

\Idef

org129University of Science and Techonology of China, Hefei, China

\Idef

org130University of Tennessee, Knoxville, Tennessee, United States

\Idef

org131University of the Witwatersrand, Johannesburg, South Africa

\Idef

org132University of Tokyo, Tokyo, Japan

\Idef

org133University of Tsukuba, Tsukuba, Japan

\Idef

org134Université Clermont Auvergne, CNRS/IN2P3, LPC, Clermont-Ferrand, France

\Idef

org135Université de Lyon, Université Lyon 1, CNRS/IN2P3, IPN-Lyon, Villeurbanne, Lyon, France

\Idef

org136Université de Strasbourg, CNRS, IPHC UMR 7178, F-67000 Strasbourg, France, Strasbourg, France

\Idef

org137Université Paris-Saclay Centre d’Etudes de Saclay (CEA), IRFU, Départment de Physique Nucléaire (DPhN), Saclay, France

\Idef

org138Università degli Studi di Foggia, Foggia, Italy

\Idef

org139Università degli Studi di Pavia, Pavia, Italy

\Idef

org140Università di Brescia, Brescia, Italy

\Idef

org141Variable Energy Cyclotron Centre, Homi Bhabha National Institute, Kolkata, India

\Idef

org142Warsaw University of Technology, Warsaw, Poland

\Idef

org143Wayne State University, Detroit, Michigan, United States

\Idef

org144Westfälische Wilhelms-Universität Münster, Institut für Kernphysik, Münster, Germany

\Idef

org145Wigner Research Centre for Physics, Hungarian Academy of Sciences, Budapest, Hungary

\Idef

org146Yale University, New Haven, Connecticut, United States

\Idef

org147Yonsei University, Seoul, Republic of Korea

Appendix B Appendix

B.1 Charged jet cross section and ratios

The inclusive charged jet cross sections after the detector effects correction and UE subtraction using the anti-$k_{T}$ jet finder in pp collisions at $\sqrt{s}=5.02\ \mathrm{TeV}$ are presented in Fig. 8, The comparisons to different LO and NLO theoretical calculations are shown in Fig. 9 and Fig. 10, respectively. The UE contamination is corrected on an event-by-event basis by the perpendicular cone estimator.

The impact of the UE subtraction on the inclusive jet spectrum can be seen in Fig. 11, which is the jet cross section ratio with (Fig. 8) and without UE (Fig. 3) subtraction. After the UE subtraction, the agreement between data and MC becomes worse, since current MC tunes do not model the UE production mechanism in proton-proton collisions well.

B.2 Jet cross sections with leading track cut

The fully corrected inclusive charged jet cross sections by requiring at least one track with $p_{\mathrm{T}}>5\ \mathrm{GeV}/c$ using the anti-$k_{T}$ jet finder in pp collisions at $\sqrt{s}=5.02\ \mathrm{TeV}$ are presented in Fig. 12. The ratio of the cross section with and without leading track cut bias is shown in Fig. 13. The jet cross sections are without UE subtraction in this section.