Physics Letters B 788 (2019) 96–116 Contents lists available at ScienceDirect Physics Letters B www.elsevier.com/locate/physletb Search for heavy √ charged long-lived particles in proton–proton collisions at s = 13 TeV using an ionisation measurement with the ATLAS detector .The ATLAS Collaboration  a r t i c l e i n f o a b s t r a c t Article history: This √ Letter presents a search for heavy charged long-lived particles produced in proton–proton collisions Received 14 August 2018 at s = 13 TeV at the LHC using a data sample corresponding to an integrated luminosity of 36.1 fb−1 Received in revised form 3 October 2018 collected by the ATLAS experiment in 2015 and 2016. These particles are expected to travel with a Accepted 29 October 2018 velocity significantly below the speed of light, and therefore have a specific ionisation higher than any Available online 1 November 2018 Editor: M. Doser high-momentum Standard Model particle of unit charge. The pixel subsystem of the ATLAS detector is used in this search to measure the ionisation energy loss of all reconstructed charged particles which traverse the pixel detector. Results are interpreted assuming the pair production of R-hadrons as composite colourless states of a long-lived gluino and Standard Model partons. No significant deviation from Standard Model background expectations is observed, and lifetime-dependent upper limits on R-hadron production cross-sections and gluino masses are set, assuming the gluino always decays to two quarks and a 100 GeV stable neutralino. R-hadrons with lifetimes above 1.0 ns are excluded at the 95% confidence level, with lower limits on the gluino mass ranging between 1290 GeV and 2060 GeV. In the case of stable R-hadrons, the lower limit on the gluino mass at the 95% confidence level is 1890 GeV. © 2018 The Author. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). Funded by SCOAP3 . 1. Introduction Due to their large mass, LLPs are expected to be slow (β γ ≤ 0.91 in a large fraction of cases) and therefore, if charged, to have A wide range of physics models that extend the Standard Model a specific ionisation larger than any SM particle of unit charge at (SM) predict the existence of new, massive, long-lived particles high momentum. The pixel subsystem [19] of the ATLAS detec- (LLPs). These particles appear in proposed solutions to the gauge tor [20] provides measurements of ionisation energy loss (dE /dx) hierarchy problem [1], including supersymmetric (SUSY) models for charged particles with sufficient accuracy to distinguish such that either violate [2–4] or conserve [5–12] R-parity. R-parity is a highly ionising particles from SM particles. In this Letter, the dE /dx quantum number defined as (−1)3( B − L )+2S where S is the particle information is used to search for LLPs using a data sample of spin and L and B are, respectively, its lepton and baryon number. proton–proton (pp) collisions corresponding to an integrated lu- Within SUSY models, sparticles, including gluinos, may be long- √ minosity of 36.1 fb−1 collected at s = 13 TeV. This extends the lived, with lifetimes depending, for instance, on the mass hierarchy reach beyond that of a previous study [21], thanks to a tenfold in- parameters, or on the size of any R-parity-violating coupling [13]. The study in this Letter is sensitive to many different mod- crease of the integrated luminosity and to several improvements els of new physics, in particular those that predict the produc- to the analysis. It also extends the reach beyond that of simi- tion of massive particles with lifetimes exceeding 1 ns at LHC lar studies by CMS [22] and ATLAS [23] carried out at the same energies, such as mini-split SUSY [10,14,15] or anomaly-mediated centre-of-mass energy and dedicated to the search for LLPs not supersymmetry-breaking (AMSB) models [16,17]. Results are pre- decaying inside the detector. sented assuming the production of R-hadrons as composite colour- less states of a gluino together with SM quarks or gluons [18]. 1 Here β is the speed of the particle relative to the speed of light in vacuum and  E-mail address: atlas.publications@cern.ch. γ=  1 . 1−β 2 https://doi.org/10.1016/j.physletb.2018.10.055 0370-2693/© 2018 The Author. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). Funded by SCOAP3 . The ATLAS Collaboration / Physics Letters B 788 (2019) 96–116 97 2. ATLAS detector and ionisation measurement than four clusters associated with the track. More details of the calculation of dE /dx may be found in Ref. [21]. The ATLAS detector2 is a general-purpose detector with a forward–backward symmetric cylindrical symmetry described in 3. Analysis overview detail in Ref. [20]. It consists of a tracker for measuring the trajec- tories of charged particles inside a 2 T solenoidal magnetic field, The search strategy consists of looking for excesses in the mass followed by calorimeters for measuring the energy of particles that distribution of reconstructed tracks with high transverse momen- tum, p T , and large dE /dx. The mass value is determined from a interact electromagnetically or hadronically. A muon spectrometer parameterisation of the Bethe–Bloch relation and depends on the immersed in a toroidal magnetic field surrounds the calorimeters, momentum and dE /dx of selected tracks. and provides tracking for muons. A two-level trigger system is Two signal regions are considered, and the selection is detailed used to select events [24]. The first-level trigger is implemented in in Section 6. The first region targets metastable R-hadrons with hardware and uses a subset of the detector information. This is fol- lifetimes such that the majority of their decays occur inside the lowed by the software-based high-level trigger, which runs offline detector. In this region, charged particles that reach the muon reconstruction and calibration software, reducing the event rate spectrometer are removed and the selections are optimised for to about 1 kHz. The detector is hermetic and can therefore mea- R-hadrons with lifetimes from around 1 ns to several tens of ns. sure the magnitude of the missing transverse momentum (E Tmiss ) A second signal region targets stable R-hadrons which do not de- associated with each event. The tracker is made of three detec- cay within the detector. In this region, no muon veto is applied, tor systems organised in concentric layers. The outermost layer is since some of the stable R-hadrons that pass through the muon made of densely packed proportional gas-filled detectors [25], the spectrometer are reconstructed as muons. radial region from roughly 30 cm to 55 cm is equipped with sil- Events are selected using the lowest-threshold unprescaled icon microstrip detectors [26] and the innermost layer is covered calorimetric E Tmiss trigger. In metastable R-hadron events, the mea- by a silicon pixel detector [19], which is described below in some sured E Tmiss largely originates from neutralinos which carry away detail as it has a crucial role in this analysis. unmeasured momenta. In stable R-hadron events, the R-hadrons The pixel detector typically provides four precision measure- leave only modest energy depositions in the calorimeters [30] and ments for each track in the region |η| < 2.5 at radial distances of only a fraction are reconstructed as muons due to their late arrival 33 mm, 50 mm, 88 mm and 122 mm from the LHC beam line. The time in the muon spectrometer. Therefore, most of the momenta of innermost pixel layer is named the insertable B-layer (IBL) [27] and R-hadrons are not accounted for in the measurement of E Tmiss , and was designed to maintain efficient operation of the pixel system only QCD initial-state radiation (ISR) provides a visible contribu- above 2 × 1034 cm−2 s−1 luminosity, when the next-to-innermost tion that results in a measured imbalance. Due to the neutralinos, pixel layer begins to lose detection efficiency. The hit efficiency of the E Tmiss trigger efficiency is higher for metastable than for stable the pixel detector in the data sample used for this analysis still ex- R-hadrons. The track reconstruction efficiency is, on the contrary, ceeds 99% in all layers. For each pixel hit the length of time with higher for the stable R-hadrons and penalises particles with life- signal above threshold, known as time over threshold (ToT), is digi- times shorter than 10 ns, which may not have crossed enough tised and recorded. The ToT is approximately proportional to the detector layers. The searches for stable and metastable R-hadrons ionisation charge and allows the calculation of the specific ionisa- require slightly different optimisations. tion energy, dE /dx, of a track. The ToT measurement is digitised The background is estimated with a data-driven approach, as with four bits in the IBL and eight bits in all other pixel layers. described in Section 7. Data control samples are used to param- If the dynamic range is exceeded for a particular hit in the IBL eterise the momentum and dE /dx distributions and their inter- an overflow bit is set, while for the other layers the hit is not dependence, and then to generate pseudo data which predicts recorded. the background distribution. The potential signal contamination is The charge released by a moving charged particle is rarely con- minimised in these background samples by inverting some of the tained within just one pixel; neighbouring pixels registering hits selection criteria. are joined together using a connected component analysis [28,29] to form clusters. The charge of a cluster is calculated by summing 4. Data and simulation the charge of all pixels belonging to the cluster after calibration √ corrections. To avoid loss of charge, only clusters completely con- This search uses data from pp collisions at s = 13 TeV pro- tained in sensor fiducial regions are used (e.g. clusters cannot be vided by the LHC in 2015 and 2016. The integrated luminosity of in contact with pixels on the sensor edge). The dE /dx for each re- the data sample is 36.1 fb−1 , after requirements on detector status constructed track is calculated using the average of the individual and data quality have been applied. Further detector-level clean- cluster ionisation measurements (charge collected in the cluster ing selections are applied to the data to reject events affected by per unit track length in the sensor), for the clusters associated with calorimeter noise and data corruption. a track. To reduce the impact of the tails of the Landau distribution, An additional data sample, collected in a dedicated low- which is expected to describe the energy deposition distribution, luminosity run in 2016, is used for the calibration of dE /dx and the track dE /dx is evaluated using a truncated-mean method. The mass; it consists of randomly triggered events in bunch crossings average is calculated after removing the highest-dE /dx cluster, or where collisions are expected and amounts to about 0.4 nb−1 . the two highest-dE /dx clusters in the relatively rare case of more Simulation samples are used to determine the efficiency and associated uncertainty for selecting signal events. To model sig- nal events, the pair production of gluinos with masses between 2 ATLAS uses a right-handed coordinate system with its origin at the nominal in- 400 GeV and 3000 GeV was simulated in Pythia 6.4.27 [31] at teraction point (IP) in the centre of the detector and the z-axis along the beam leading order with the AUET2B [32] set of tuned parameters for pipe. The x-axis points from the IP to the centre of the LHC ring, and the y-axis the underlying event and the CTEQ6L1 [33] parton distribution points upward. Cylindrical coordinates (r , φ) are used in the transverse plane, φ be- ing the azimuthal angle around the z-axis. The pseudorapidity is defined in terms function (PDF) set. Dedicated routines [34] were used to hadronise the gluinos; after hadronisation, about 2/3 of the events contain  angle θ as η = − ln tan(θ/2), and angular distance is measured in units of the polar of  R ≡ (η)2 + (φ)2 . at least one charged R-hadron. All sparticles except the gluino and 98 The ATLAS Collaboration / Physics Letters B 788 (2019) 96–116 the lightest neutralino are decoupled. The Monte Carlo (MC) signal samples include a modelling of pile-up, adding the expected num- ber of minimum-bias pp interactions from the same and nearby bunch crossings. In order to more accurately model ISR in the signal events, ad- ditional samples of gluinos were generated at leading order with up to two additional partons using MadGraph5_aMC@NLO [35], interfaced to the Pythia 8.186 [36] parton shower model. The NNPDF2.3LO [37] PDF set is used along with the A14 [38] set of tuned parameters. The distribution of the transverse momen- tum of the gluino–gluino system simulated with Pythia 6.4.27 was reweighted to match that obtained in the samples simulated with MadGraph5_aMC@NLO. Simulated events undergo full detector simulation [39] based on a Geant4 [40] framework; the hadronic interactions of R- hadrons with the detector were handled by dedicated Geant4 rou- tines based on the model described in Refs. [30,34,41]. Signal sam- ples were generated both for non-decaying gluinos, and for gluinos Fig. 1. The most probable value of the track dE /dx (MPVdE /dx ) versus the integrated with a set of lifetimes ranging from 1.0 ns to 50 ns which decay luminosity delivered to ATLAS is reported for each data-taking run used in this anal- into SM quarks and a 100 GeV stable neutralino via the process ysis before corrections are applied. The luminosity plotted here is before detector efficiency and data quality criteria are imposed. The MPVdE /dx is calculated for all g̃ → qq̄χ̃10 . The decay of the R-hadrons and the fragmentation and tracks with p T > 400 MeV. The points to the left of the dashed line represent the hadronisation of the resulting quarks were performed with a mod- data recorded during 2015, during which a variation of the MPVdE /dx due to the ToT ified version of Pythia 6.4.27. drift of the IBL electronics is pronounced. In data recorded during 2016, a drop of To normalise the number of expected signal events, gluino MPVdE /dx over integrated luminosity is observed due to charge collection efficiency losses. Small local fluctuations are also visible. These are caused by the change of pair production cross-sections are calculated at next-to-leading the experimental environment and of the detector conditions. In this analysis, the order in the strong coupling constant, including the resumma- measurement of dE /dx is corrected to account for the variation as a function of tion of soft-gluino emissions at next-to-leading-logarithm accu- data-taking run. racy [42–46]. The nominal cross-section values and uncertainties are taken from an envelope of cross-section predictions using dif- analysis takes into account its small (< 10%) η -dependence. ferent PDF sets and factorisation and renormalisation scales, as After this correction, the dE /dx depends only on the particle described in Ref. [47]. momentum and mass, which simplifies the background esti- mation (see Section 7). 5. dE /dx corrections and mass calculation • As the simulation does not include the effects of radiation damage to the pixel detector sensors, a scale factor of 0.886 ATLAS has used the measured dE /dx to search for R-hadrons is applied to the measurement of dE /dx in simulation to align in several previous analyses [21,48,49]. This method has been con- the MPVdE /dx of the minimum-ionising particles in MC sim- stantly improved to take into account the evolution of the pixel ulation with data, after the run-dependent corrections to the detector and the experimental conditions. Detailed improvements data dE /dx have been applied. related to the measurement of dE /dx and mass introduced in this analysis, include: The β γ of a particle, and therefore its mass if the momen- tum is known, can be calculated from the dE /dx of its track using • Corrections have been made for luminosity- and time-depen- the relationship between β γ and dE /dx. A β γ value can only be dent variations of the measured values of dE /dx. The varia- measured in the range 0.3 < β γ < 0.9. On average, particles with tions are due to changes in the operation parameters of the β γ < 0.3 have a dE /dx such that the ToT dynamic range is ex- pixel system and to loss of charge collection due to radiation ceeded. Particles with β γ > 0.9 have a dE /dx which is too close damage caused by the luminosity delivered. The dE /dx mea- to the ionisation plateau of relativistic SM particles for an efficient sured in data is scaled by a per-run factor derived to keep the discrimination. This range overlaps well with the expected aver- most probable value of the energy loss (MPVdE /dx ) constant age β γ of R-hadrons produced at the LHC, which decreases from versus time. The MPVdE /dx variation with integrated luminos- around 0.8 for a gluino with mass 600 GeV to around 0.4 for a ity before corrections is shown in Fig. 1. 2000 GeV gluino. • A low-momentum correction for kaons and protons has been The mass of a charged particle can be derived from a fit of added. All particles are treated as pions in the reconstruction the specific energy loss and the momentum measurement to an program, but, below 500 MeV, the effect of multiple scatter- empirical function motivated by the low-β behaviour of the Bethe– ing on the trajectories of kaons and protons is different from Bloch distribution. After applying the low-momentum correction the effect on a pion and their momenta are underestimated. for kaons and protons, it is possible to fit the function relating To correct for this effect, the difference between the generated dE /dx to β γ with only three parameters (instead of five as in the and the reconstructed momentum of proton and kaon tracks in previous analysis [21]), as shown in Fig. 2. The parametric func- simulation samples is fitted as a function of momentum. This parameterised correction is then applied to the momentum of tion describing the relationship between the most probable value protons and kaons in data, where these particles are identi- of the energy loss (MPVdE /dx ) and β γ is: fied by means of their dE /dx and momentum. This procedure MPVdE /dx = A /(β γ )C + B (1) has simplified the dE /dx calibration, which is performed with low-β γ SM particles. The A, B and C calibration constants were measured using low- • There is a small dependence of the dE /dx on the traversed momentum pions, kaons and protons reconstructed by ATLAS in thickness [50]. For that reason the dE /dx calculated in this low-luminosity runs where all reconstructed tracks with p T > The ATLAS Collaboration / Physics Letters B 788 (2019) 96–116 99 is consistent with detector noise or beam-induced backgrounds, as determined from shower shape information. Unlike in standard ATLAS selections for jet-cleaning [53], a requirement on the rela- tionship between track and calorimeter measurements of p T and a requirement on the fraction of jet energy deposited in the elec- tromagnetic calorimeter are not applied as they are found to be inefficient for signal events in which an R-hadron decays before or inside the calorimeters. The trigger is more than 95% efficient for R-hadrons with lifetimes of 10 ns or less; the efficiency de- creases as more decays happen in or after the calorimeter and falls to around 30–40% for the stable case. There are two separate signal regions with slightly different optimisations for metastable and stable particles: the isolation se- lections differ slightly for the two signal regions, and a muon veto is applied only for the metastable region. Additionally, events with a high-p T muon whose momentum uncertainty is significantly worse after combining tracks from the inner detector and muon Fig. 2. MPVdE /dx as a function of β γ obtained with a sample of minimum-bias system are vetoed in the metastable region, in order to protect data from 2016, for positively charged tracks with three pixel hits used to cal- culate the dE /dx. This data sample amounts to about 0.4 nb−1 . For each kaon the measurement of E Tmiss from rare, pathological reconstructions and proton, the β γ value is corrected for the effect of multiple scattering. A fit of muons. After passing the trigger and E Tmiss selections, events are to the MPVdE /dx dependence on β γ with an empirical three-parameter function required to have a PV built from at least two reconstructed tracks MPVdE /dx = A /(β γ )C + B motivated by Bethe–Bloch relation is also shown. The val- ues of the A, B and C parameters for tracks with different charge and different each with p T above 400 MeV, and to contain at least one candi- number of pixel hits are all compatible. date track that passes the track-level selections detailed below. If there are multiple candidate tracks in an event after all selections, 100 MeV are considered. In bins of momentum, the reconstructed the candidate with the highest track p T is selected. dE /dx distribution shows three distinct peaks, to which the nom- To enrich the selected sample in potential signal events, can- inal pion, kaon, and proton masses are respectively assigned in didate tracks are required to have p T > 50 GeV, momentum p > increasing order of dE /dx to obtain a β γ for the three measured 150 GeV, and |η| < 2.0. To reject non-prompt background tracks dE /dx values. The MPVdE /dx is extracted from a fit to the distribu- and those inconsistent with the PV, the transverse impact param- tion of dE /dx values for each particle species across all momentum eter of candidate tracks, |d0 |, must be less than 2 mm, and the bins. The mass parameterisation is valid for both data and simula- absolute value of the product of the longitudinal impact parameter, tion after the correction to dE /dx in simulation is applied. z0 , and sin θ must be less than 3 mm.3 Reconstructed tracks must Given a measured value of dE /dx and momentum, and as- have at least seven clusters across the pixel and SCT detectors, and suming unit charge, the mass m is calculated from Eq. (1) by to be considered a candidate the track must have an associated numerically solving the equation MPVdE /dx ( p /m) = dE /dx for cluster in the innermost pixel layer if it passes through an active the unknown m, where the MPVdE /dx is approximated by the detector module. truncated-mean measurement of dE /dx. Using this method, the To reject tracks from leptonic W decays, the transverse mass reconstructed mass for simulated R-hadrons reproduces well the (mT ) of the candidate track and the E Tmiss in the event must be generated mass up to about 1.5 TeV, above which a bias in the greater than 130 GeV.4 Tracks from electrons are removed by con- measured momentum causes the reconstructed mass to fall be- sidering any jets within  R = 0.05 of the candidate track with low the generated value. The momentum uncertainty dominates p T > 20 GeV, and rejecting the track if any such jet has at least the mass resolution above masses of 200 GeV. The measurement 95% of its energy deposited in the electromagnetic calorimeter. SM of the proton mass in all data-taking runs used in this analysis al- hadrons are removed by excluding tracks for which any associated lows the monitoring of the stability of the A, B and C calibration jet within  R = 0.05 of the track has a calibrated energy larger constants. These are found to be stable at the 1% level after all than the track momentum. In the metastable R-hadron signal re- corrections have been applied. gion, tracks identified as well-reconstructed muons which pass the “medium” quality selection [54] and which have p T > 25 GeV are 6. Event selection rejected. Tracks with high ionisation deposits from multiple SM parti- Events are first selected with a trigger based on E Tmiss , which cles which overlap in the pixel sensors are rejected with two types is calculated using energy measurements in the calorimeter with of isolation selections. The first explicitly requires that no clus- corrections for multiple pp interactions in each event [24]. The ters on the track are consistent with two or more tracks [55]. high-level E Tmiss trigger threshold varies from 70 GeV to 110 GeV The second requires that the scalar sum of the p T of other tracks, during the data-taking period. In the reconstruction, E Tmiss is built with p T > 1 GeV and consistent with the PV, in a cone of size from calibrated muons and electrons which pass baseline selec-  R = 0.25 around the candidate track, must be less than 20 GeV tions, from calibrated jets reconstructed with the anti-kt jet clus- for the metastable R-hadron selection. To reduce background in tering algorithm [51] with radius parameter R = 0.4 using clusters of energy depositions in the calorimeter as inputs, and from a term that includes soft tracks not associated with any other ob- 3 The transverse impact parameter is defined as the distance of closest approach jects in the event [52] but consistent with the primary vertex (PV). in the transverse plane between a track and the beam-line. The longitudinal impact Events are required to have E Tmiss > 170 GeV to enhance the signal parameter corresponds to the z-coordinate distance between the point along the sensitivity and to ensure that the selected events are near the effi- track at which the transverse impact parameter is defined and the primary vertex.    ciency plateau of the trigger. To ensure a good calculation of E Tmiss , 4 mT = 2p T E Tmiss 1 − cos(φ( E Tmiss , track)) , where φ( E Tmiss , track) is the az- events are rejected if they contain a jet with E T > 20 GeV that imuthal separation between the track and the E Tmiss vector. 100 The ATLAS Collaboration / Physics Letters B 788 (2019) 96–116 Table 1 Summary of the different selection requirements applied to the signal region (SR), the valida- tion region (VR), and the control regions (CR). p-CR dE /dx-CR SR VR for SR for VR for SR for VR Track momentum [GeV] > 150 50–150 > 150 50–150 > 150 50–150 E Tmiss [GeV] > 170 > 170 < 170 Ionisation [MeV g−1 cm2 ] > 1.8 < 1.8 – the stable R-hadron region in which muons are not vetoed, the signal was previously excluded [48,56], before the high ionisation isolation selection is tightened to 5 GeV. requirement is imposed. At least two pixel clusters, after discarding the cluster with the The procedure for estimating both the normalisation and shape highest ionisation, must be included in the truncated mean calcu- of the expected background is validated in a low-momentum val- lation of dE /dx to ensure it is robust. The relative uncertainty in idation region (VR) in which the momentum of tracks is required the momentum measurement must be less than 50%. The specific to be between 50 GeV and 150 GeV. The differences between the ionisation of the candidate track measured by the pixel detector selections applied to the SR, CR, and VR are shown in Table 1. The must be larger than 1.8 MeV g−1 cm2 . Relative to inclusive gener- control and validation regions are independently produced for both ated R-hadron events with a mass of 2000 GeV, the efficiency for the metastable and stable R-hadron SRs. The expected mass dis- events to pass all selections, including the trigger, is 12% for stable tributions in the two validation regions, along with the observed R-hadrons and 19% for those with a lifetime of 10 ns. data, are shown in Fig. 3. Good agreement between the data and the prediction in the VR validates the background estimation pro- 7. Background estimation cedure. The expected background contains tracks from SM processes in- 8. Systematic uncertainties cluding vector boson, top-quark, and multi-jet production. Tracks from any SM particle can be measured with high dE /dx due to The background estimation technique described in the previ- the unlikely sampling of multiple measurements from the long ous section relies on the lack of correlation between several key tail of the Landau distribution, from overlapping particles deposit- kinematic variables in background events. The largest uncertain- ing charge in the same pixels, or from spurious pixel hits from ties in the central value of the background estimate come from low-momentum particles being incorrectly assigned to the high- possible residual correlations. In particular, the residual correlation momentum track. To correctly estimate both the rate of high- between η and dE /dx results in an uncertainty in the size of the momentum tracks in events with large E Tmiss and the probability background estimate ranging from 15% at the lowest mass values of measuring a high ionisation energy for those tracks, the back- to 30% at the highest mass values. This uncertainty is assessed by ground is fully estimated from data. comparing the nominal background estimate with an estimate per- A template for the momentum distribution of background formed in η bins. Additionally, an uncertainty of 1%–25% in the tracks in signal region (SR) events is obtained from a control background yield arises from residual correlations between p and region (p-CR) in which the ionisation requirement is inverted, dE /dx for tracks entering the background calculation. This is esti- dE /dx < 1.8 MeV g−1 cm2 , while all other track-level and event- mated by reweighting the p template from the p-CR by the differ- level selections are applied. ence in the p distribution between tracks with high and low dE /dx The dE /dx distribution, in a few bins of momentum,5 is ob- in the low-E Tmiss region. Similarly, the residual correlation between tained for the expected background from a low-E Tmiss data sample E Tmiss and dE /dx is probed by rescaling the template dE /dx dis- in which E Tmiss < 170 GeV. Inverting the E Tmiss requirement relative tribution with a scale factor obtained from the difference between to the high-E Tmiss SR minimises signal contamination in this con- the dE /dx distributions in the VR for tracks in events with high trol region (dE /dx-CR), and the lack of correlation between E Tmiss E Tmiss and low E Tmiss . This uncertainty ranges from 3% to 12% on and dE /dx for high-momentum SM tracks allows the dE /dx distri- the background expectation in different mass windows. bution of the expected background to be derived from low-E Tmiss As the background is fully estimated from data, detector or data-taking conditions which affect the measurement of dE /dx events which pass all other selections. Since the E Tmiss trigger are accounted for, as long as the luminosity profile of the con- thresholds varied as a function of time for the collected data, the trol regions matches that of the signal region. The reweighting events in this control region are reweighted so that the ratio of of the dE /dx-CR control region achieves this. A conservative un- low-to-high E Tmiss events is constant versus time. certainty in the time-dependence of the dE /dx measurement is The momentum and dE /dx distributions obtained in the con- assessed by comparing the background estimate with and with- trol regions (CR)s are used as templates to calculate the shape out the reweighting, which results in an additional uncertainty of of the expected mass distribution of candidate tracks from back- 3%–18% on the background yields. The limited numbers of events ground events. A pair of p and dE /dx values is obtained by ran- in the control regions contribute 6% uncertainty. Other uncertain- domly sampling from the p-CR distribution, and then randomly ties in the background estimate are below 5%, including an un- sampling from the dE /dx-CR distribution in the appropriate p-bin. certainty in the shape of the dE /dx tail from the CR and in the The mass for each pair of p and dE /dx values is calculated as de- different fractions of muons between the CR and SR. scribed in Section 5. The resulting background mass distribution The uncertainty in the expected number of signal events is is normalised to data in the region where m < 160 GeV, in which dominated by the estimation of the production cross-section of gluino–gluino pairs; the calculation of the cross-section and its un- 5 To account for the dependence of dE /dx on momentum up to the Fermi plateau. certainty is described in Section 4. The uncertainty ranges from The most probable energy loss reaches a constant value, the Fermi plateau, at 14% for gluino masses of 600 GeV to 36% for masses of 2200 GeV. large β γ . An additional uncertainty in the number of produced signal events The ATLAS Collaboration / Physics Letters B 788 (2019) 96–116 101 Fig. 3. The reconstructed mass distribution in the (a) metastable and (b) stable R-hadron validation regions for observed data and the predicted background, including the total uncertainty in the background estimate. The validation regions have the same requirements as the SRs, except the momentum of the candidate tracks is required to be 50 < p < 150 GeV. of 2.1% is due to the uncertainty in the dataset luminosity, which is measured in dedicated x– y beam-separation scans performed in May 2016 using a method similar to one described in Ref. [57]. The largest uncertainty on the signal efficiency results from the modelling of ISR production, which affects the E Tmiss distribu- tion. This uncertainty is estimated as half the difference between the expected number of events calculated with the Pythia 6.4.27 gluino–gluino p T distribution and with the distribution reweighted to match that of the MadGraph5_aMC@NLO sample. This uncer- tainty depends on both the lifetime and mass of the signal sample and ranges from 1% for lifetimes up to 10 ns to 19% for stable samples. Uncertainties ranging from 1% to 6% in the efficiency of the dE /dx selection are included to account for both the shape difference between the ionisation distributions in data and MC simulation and the scale shift in data due to radiation damage. The efficiency of selecting tracks with at least two measurements used to determine the dE /dx depends on the operating conditions of the detector and the instantaneous luminosity. The accuracy of the simulation in modelling this efficiency is tested in Z → μμ events in both data and MC simulation; the maximum difference in effi- ciency as a function of pile-up is found to be 6%, which is taken as an uncertainty. Additional uncertainties, each less than 5%, on the signal selection efficiency are due to uncertainties in how well the simulation models trigger and offline E Tmiss , the pile-up distri- bution, the scale and uncertainty of the momentum measurement, and the efficiency for reconstructing stable R-hadrons as muons. 9. Results The distributions of the reconstructed mass of candidate tracks in the two signal regions are shown in Fig. 4 for events observed in data, together with the expected background and the predictions from several signal models. The total numbers of expected and ob- served events in the two SRs as well as in the background CRs and VRs are shown in Table 2. Overall, the number of observed events Fig. 4. The reconstructed candidate track mass distributions for observed data, pre- in the two SRs is consistent with the background expectation. dicted background, and the expected contribution from two signal models in the To quantify the level of agreement between data and back- (a) metastable and (b) stable R-hadron signal regions. The yellow band around the ground in the shape of the mass distribution, discrete but overlap- background estimation includes both the statistical and systematic uncertainties. ping asymmetric windows in the reconstructed mass distribution are defined so as to contain at least 70% of the reconstructed mass of a signal sample with a given simulated gluino mass. All win- varies slightly for different lifetimes. Twelve windows are used in dows have an upper boundary of 5000 GeV to remove any unphys- each of the two signal regions. The compatibility of the observed ical measurements. The lower boundary for a given simulated mass event counts with the background expectation is tested within 102 The ATLAS Collaboration / Physics Letters B 788 (2019) 96–116 Table 2 The number of events in each CR, VR, and SR for the predicted background, for the expected contribution from two signal models normalised to 36.1 fb−1 , and in the observed data. The predicted background includes the statistical and systematic uncertainties, respectively. The uncertainty in the signal yield includes all systematic uncertainties except that in the theoretical cross-section. Region Sample Pred. Bkg (± stat. ± syst.) Exp. signal Data Metastable m( g̃ ) = 1600 GeV, τ ( g̃ ) = 10 ns p-CR – 12.0 ± 0.9 7397 dE /dx-CR – 7.2 ± 0.6 110019 VR 140 ± 4 ± 28 0.3 ± 0.03 130 SR 71 ± 2 ± 14 52.1 ± 4.2 72 Stable m( g̃ ) = 1600 GeV, stable p-CR – 8.0 ± 1.6 13108 dE /dx-CR – 10.3 ± 2.1 272723 VR 168 ± 5 ± 32 0.2 ± 0.04 138 SR 107 ± 3 ± 28 36.0 ± 7.2 107 Fig. 5. The 95% CL upper limit on the cross-section as a function of mass for (a) gluinos with lifetime τ = 10 ns decaying into qq̄ and a 100 GeV neutralino and for (b) detector-stable gluinos, with the observed limit shown as a solid black line. The predicted production cross-section values are shown in purple along with their uncertainty. The expected upper limit in the case of only background is shown by the dashed black line, with a green ±1σ and a yellow ±2σ band. Theory cross-sections are from Refs. [42–46]. each mass window. The largest deviation from the background- ties in the signal and background yields are treated as Gaussian- only hypothesis is found to have a local significance of 2.4σ and distributed nuisance parameters. The cross-section upper limits for is in the stable R-hadron SR in the mass bin designed to cover a a gluino R-hadron with lifetime of 10 ns decaying into qq̄ and a 600 GeV gluino (with a mass window from 500 to 5000 GeV). The 100 GeV neutralino and for a detector-stable R-hadron are shown source of this deviation is a mild excess of data events relative to in Fig. 5. the background prediction around 500–800 GeV. The cross-section limits and the predicted production cross- In the absence of any significant excess, model-independent up- sections for gluinos are used to set lower limits on expected and per limits at 95% CL on the visible production cross-sections are observed masses, as a function of lifetime. The excluded regions calculated by dividing the number of signal events consistent at in the lifetime–mass plane for gluino R-hadrons which decay into the 95% CL with the expected background and observed data in a 100 GeV neutralino and quarks are shown in Fig. 6. Masses the most inclusive mass window for each SR by the integrated smaller than 2060 GeV are excluded for the most sensitive life- luminosity. For the metastable R-hadron SR, the p-value for the time of 10 ns, masses smaller than 1890 GeV are excluded for the background-only hypothesis is 0.15 in the window from 500 to stable case, and masses smaller than 1290 GeV are excluded for a 5000 GeV, and the upper limit on the visible production cross- lifetime of 1 ns. Sensitivity to signals with lifetimes shorter than section is 0.35 fb with an expected limit of 0.25+ 0.09 −0.07 fb. In the 1 ns falls off quickly, and is complemented by searches for disap- stable R-hadron SR mass window from 300 to 5000 GeV, the pearing tracks [60] and displaced vertices [61]. The selection and background-only p-value is 0.09 and the model-independent up- trigger efficiency, and therefore mass sensitivity, is comparable for per limit on the visible production cross-section is 0.88 fb, with an a wide range of neutralino masses. For neutralino masses that ap- expected limit of 0.57+ 0.20 −0.12 fb. Information in full detail about the proach the mass of the gluino, the total efficiency drops by up to expected and observed results in each mass window is provided in a factor of three in these highly compressed decays. Ref. [58]. Expected and observed upper limits on R-hadron production 10. Conclusion cross-sections are calculated from the predicted background, the expected signal, and the observed event yields in each mass win- A search has been performed for stable and metastable √ non- dow, using the one-sided profile-likelihood ratio as a test statistic. relativistic long-lived particles produced in pp collisions at s = The upper limits on the cross-sections are evaluated at 95% CL fol- 13 TeV at the LHC and identified through their large momenta lowing the CLs prescription [59]. In this procedure, the uncertain- and anomalous specific ionisation energy loss in the ATLAS pixel The ATLAS Collaboration / Physics Letters B 788 (2019) 96–116 103 Investissements d’Avenir Labex and Idex, ANR, Région Auvergne and Fondation Partager le Savoir, France; DFG and AvH Foundation, Germany; Herakleitos, Thales and Aristeia programmes co-financed by EU-ESF and the Greek NSRF; BSF, GIF and Minerva, Israel; BRF, Norway; CERCA Programme Generalitat de Catalunya, Generalitat Valenciana, Spain; the Royal Society and Leverhulme Trust, United Kingdom. The crucial computing support from all WLCG partners is ac- knowledged gratefully, in particular from CERN, the ATLAS Tier-1 facilities at TRIUMF (Canada), NDGF (Denmark, Norway, Swe- den), CC-IN2P3 (France), KIT/GridKA (Germany), INFN-CNAF (Italy), NL-T1 (Netherlands), PIC (Spain), ASGC (Taiwan), RAL (UK) and BNL (USA), the Tier-2 facilities worldwide and large non-WLCG resource providers. Major contributors of computing resources are listed in Ref. [62]. References [1] L. Susskind, The gauge hierarchy problem, technicolour, supersymmetry, and all that, Phys. Rep. 104 (1984) 181. [2] H.K. Dreiner, An introduction to explicit R-parity violation, Adv. Ser. Dir. High Energy Phys. 21 (2010) 565, arXiv:hep-ph/9707435. [3] E.L. Berger, Z. Sullivan, Lower limits on R-parity-violating couplings in super- Fig. 6. Observed and expected 95% lower limits on the gluino mass in the gluino symmetry, Phys. Rev. Lett. 92 (2004) 201801, arXiv:hep-ph/0310001. lifetime–mass plane. The excluded area is to the left of the curves. The observed [4] R. Barbier, et al., R-parity violating supersymmetry, Phys. Rep. 420 (2005) 1, limit is shown by the solid red line with dot markers with ±1σ of its theoretical arXiv:hep-ph/0406039. uncertainties (σth ) shown as dashed-red lines, and the expected limit is shown as [5] C.F. Kolda, Gauge-mediated supersymmetry breaking: introduction, review and a black line with ±1σ of its experimental uncertainties (σexp ) shown as a yellow update, Nucl. Phys. Proc. Suppl. 62 (1998) 266, arXiv:hep-ph/9707450. band. The 8 TeV results, shown with blue squares, are from Ref. [49] and the 13 TeV [6] H. Baer, K. Cheung, J.F. Gunion, A heavy gluino as the lightest supersymmetric results with 3.2 fb−1 , shown with pink triangles, are from Ref. [21]. particle, Phys. Rev. D 59 (1999) 075002, arXiv:hep-ph/9806361. [7] S.J. Gates Jr., O. Lebedev, Searching for supersymmetry in hadrons, Phys. Lett. B detector. The data sample analysed corresponds to an integrated 477 (2000) 216, arXiv:hep-ph/9912362. luminosity of 36.1 fb−1 collected by the ATLAS experiment in 2015 [8] A. Mafi, S. Raby, An analysis of a heavy gluino LSP at CDF: the heavy gluino window, Phys. Rev. D 62 (2000) 035003, arXiv:hep-ph/9912436. and 2016. Results are interpreted assuming the pair production of [9] M.B. Chertok, et al., Phenomenology of a constrained standard model from an R-hadrons as composite colourless states of a long-lived gluino and extra dimension, eConf C010630 (2001) P310, arXiv:hep-ph/0112001 [hep-ph]. SM partons. With some model-dependent assumptions, a lifetime- [10] G.F. Giudice, A. Romanino, Split supersymmetry, Nucl. Phys. B 699 (2004) 65, dependent lower limit is set on the mass of metastable and sta- arXiv:hep-ph/0406088. [11] N. Arkani-Hamed, S. Dimopoulos, G.F. Giudice, A. Romanino, Aspects of split ble gluinos inside R-hadrons. Maximum sensitivity is reached for supersymmetry, Nucl. Phys. B 709 (2005) 3, arXiv:hep-ph/0409232. gluinos with lifetimes of 10 ns, for which masses smaller than [12] M. Fairbairn, et al., Stable massive particles at colliders, Phys. Rep. 438 (2007) 2060 GeV are observed to be excluded at the 95% confidence level. 1, arXiv:hep-ph/0611040. Stable gluinos with masses smaller than 1890 GeV are excluded at [13] M.R. Buckley, L. Randall, B. Shuve, LHC searches for non-chiral weakly charged 95% confidence level. multiplets, J. High Energy Phys. 05 (2011) 097, arXiv:0909.4549 [hep-ph]. [14] N. Arkani-Hamed, S. Dimopoulos, Supersymmetric unification without low en- ergy supersymmetry and signatures for fine-tuning at the LHC, J. High Energy Acknowledgements Phys. 06 (2005) 073, arXiv:hep-th/0405159. [15] A. Arvanitaki, N. Craig, S. Dimopoulos, G. Villadoro, Mini-split, J. High Energy We thank CERN for the very successful operation of the LHC, Phys. 02 (2013) 126, arXiv:1210.0555 [hep-ph]. as well as the support staff from our institutions without whom [16] G.F. Giudice, M.A. Luty, H. Murayama, R. Rattazzi, Gaugino mass without sin- glets, J. High Energy Phys. 12 (1998) 027, arXiv:hep-ph/9810442. ATLAS could not be operated efficiently. [17] L. Randall, R. Sundrum, Out of this world supersymmetry breaking, Nucl. Phys. We acknowledge the support of ANPCyT, Argentina; YerPhI, Ar- B 557 (1999) 79, arXiv:hep-th/9810155. menia; ARC, Australia; BMWFW and FWF, Austria; ANAS, Azer- [18] G.R. Farrar, P. Fayet, Phenomenology of the production, decay, and detection of baijan; SSTC, Belarus; CNPq and FAPESP, Brazil; NSERC, NRC and new hadronic states associated with supersymmetry, Phys. Lett. B 76 (1978) 575. CFI, Canada; CERN; CONICYT, Chile; CAS, MOST and NSFC, China; [19] G. Aad, et al., ATLAS pixel detector electronics and sensors, J. Instrum. 3 (2008) COLCIENCIAS, Colombia; MSMT CR, MPO CR and VSC CR, Czech P07007. Republic; DNRF and DNSRC, Denmark; IN2P3-CNRS, CEA-DRF/IRFU, [20] ATLAS Collaboration, The ATLAS experiment at the CERN Large Hadron Collider, France; SRNSFG, Georgia; BMBF, HGF, and MPG, Germany; GSRT, J. Instrum. 3 (2008) S08003. [21] ATLAS Collaboration, Search for metastable heavy charged particles with large Greece; RGC, Hong Kong SAR, China; ISF, I-CORE and Benoziyo Cen- √ ionization energy loss in pp collisions at s = 13 TeV using the ATLAS experi- ter, Israel; INFN, Italy; MEXT and JSPS, Japan; CNRST, Morocco; ment, Phys. Rev. D 93 (2016) 112015, arXiv:1604.04520 [hep-ex]. NWO, Netherlands; RCN, Norway; MNiSW and NCN, Poland; FCT, [22] CMS Collaboration, Search for long-lived charged particles in proton–proton √ Portugal; MNE/IFA, Romania; MES of Russia and NRC KI, Russian collisions at s = 13 TeV, Phys. Rev. D 94 (2016) 112004, arXiv:1609.08382 Federation; JINR; MESTD, Serbia; MSSR, Slovakia; ARRS and MIZŠ, [hep-ex]. [23] ATLAS Collaboration, Search for heavy long-lived charged R-hadrons with the Slovenia; DST/NRF, South Africa; MINECO, Spain; SRC and Wallen- √ ATLAS detector in 3.2 fb−1 of proton–proton collision data at s = 13 TeV, berg Foundation, Sweden; SERI, SNSF and Cantons of Bern and Phys. Lett. B 760 (2016) 647, arXiv:1606.05129 [hep-ex]. Geneva, Switzerland; MOST, Taiwan; TAEK, Turkey; STFC, United [24] ATLAS Collaboration, Performance of the ATLAS trigger system in 2015, Eur. Kingdom; DOE and NSF, United States of America. In addition, in- Phys. J. C 77 (2017) 317, arXiv:1611.09661 [hep-ex]. dividual groups and members have received support from BCKDF, [25] ATLAS Collaboration, Performance of the ATLAS Transition Radiation Tracker in Run 1 of the LHC: tracker properties, J. Instrum. 12 (2017) P05002, arXiv: the Canada Council, Canarie, CRC, Compute Canada, FQRNT, and the 1702.06473 [hep-ex]. Ontario Innovation Trust, Canada; EPLANET, ERC, ERDF, FP7, Hori- [26] ATLAS Collaboration, Operation and performance of the ATLAS semiconductor zon 2020 and Marie Skłodowska-Curie Actions, European Union; tracker, J. Instrum. 9 (2014) P08009, arXiv:1404.7473 [hep-ex]. 104 The ATLAS Collaboration / Physics Letters B 788 (2019) 96–116 [27] ATLAS IBL Collaboration, Production and integration of the ATLAS insertable [47] C. Borschensky, et al., Squark and gluino production cross sections in pp col- √ B-layer, J. Instrum. 13 (2018) T05008, arXiv:1803.00844. lisions at s = 13, 14, 33 and 100 TeV, Eur. Phys. J. C 74 (2014) 3174, [28] A. Rosenfeld, J.L. Pfaltz, Sequential operations in digital picture processing, arXiv:1407.5066 [hep-ph]. J. Assoc. Comput. Mach. 13 (4) (1966) 471, http://dl.acm.org/citation.cfm?id= [48] ATLAS Collaboration, Searches for heavy long-lived sleptons and R-hadrons √ 321357. with the ATLAS detector in pp collisions at s = 7 TeV, Phys. Lett. B 720 (2013) [29] ATLAS Collaboration, A neural network clustering algorithm for the ATLAS sili- 277, arXiv:1211.1597 [hep-ex]. con pixel detector, J. Instrum. 9 (2014) P09009, arXiv:1406.7690 [hep-ex]. [49] ATLAS Collaboration, Search for metastable heavy charged particles with large √ [30] R. Mackeprang, A. Rizzi, Interactions of coloured heavy stable particles in mat- ionisation energy loss in pp collisions at s = 8 TeV using the ATLAS experi- ter, Eur. Phys. J. C 50 (2007) 353, arXiv:hep-ph/0612161. ment, Eur. Phys. J. C 75 (2015) 407, arXiv:1506.05332 [hep-ex]. [31] T. Sjöstrand, S. Mrenna, P. Skands, PYTHIA 6.4 physics and manual, J. High En- [50] H. Bichsel, Straggling in thin silicon detectors, Rev. Mod. Phys. 60 (1988) 663. ergy Phys. 05 (2006) 026, arXiv:hep-ph/0603175. [51] M. Cacciari, G.P. Salam, G. Soyez, The anti-kt jet clustering algorithm, J. High [32] ATLAS Collaboration, Further ATLAS tunes of Pythia 6 and Pythia 8, ATL-PHYS- Energy Phys. 04 (2008) 063, http://stacks.iop.org/1126-6708/2008/i=04/a=063. PUB-2011-014, 2011, https://cds.cern.ch/record/1400677. [52] ATLAS Collaboration, Performance of algorithms that reconstruct missing trans- √ [33] J. Pumplin, et al., New generation of parton distributions with uncertainties verse momentum in s = 8 TeV proton–proton collisions in the ATLAS detec- from global QCD analysis, J. High Energy Phys. 07 (2002) 012, arXiv:hep-ph/ tor, Eur. Phys. J. C 77 (2017) 241, arXiv:1609.09324 [hep-ex]. 0201195. [53] ATLAS Collaboration, Selection of jets produced in 13 TeV proton–proton col- [34] A.C. Kraan, Interactions of heavy stable hadronizing particles, Eur. Phys. J. C 37 lisions with the ATLAS detector, ATLAS-CONF-2015-029, 2015, https://cds.cern. (2004) 91, arXiv:hep-ex/0404001. ch/record/2037702. [35] J. Alwall, et al., The automated computation of tree-level and next-to-leading [54] ATLAS Collaboration, Muon reconstruction performance of the ATLAS detector order differential cross sections, and their matching to parton shower simula- √ in proton–proton collision data at s = 13 TeV, Eur. Phys. J. C 76 (2016) 292, tions, J. High Energy Phys. 07 (2014) 079, arXiv:1405.0301 [hep-ph]. arXiv:1603.05598 [hep-ex]. [36] T. Sjöstrand, S. Mrenna, P.Z. Skands, A brief introduction to PYTHIA 8.1, Comput. [55] ATLAS Collaboration, Performance of the ATLAS track reconstruction algorithms Phys. Commun. 178 (2008) 852, arXiv:0710.3820 [hep-ph]. in dense environments in LHC Run 2, Eur. Phys. J. C 77 (2017) 673, arXiv:1704. [37] R.D. Ball, et al., Parton distributions with LHC data, Nucl. Phys. B 867 (2013) 07983 [hep-ex]. 244, arXiv:1207.1303 [hep-ph]. [56] D.E. Acosta, et al., Search for long-lived charged massive particles in anti-pp [38] ATLAS Collaboration, ATLAS Pythia 8 tunes to 7 TeV data, ATL-PHYS-PUB- √ collisions at s = 1.8 TeV, Phys. Rev. Lett. 90 (2003) 131801, arXiv:hep-ex/ 2014-021, 2014, https://cds.cern.ch/record/1966419. 0211064 [hep-ex]. [39] ATLAS Collaboration, The ATLAS simulation infrastructure, Eur. Phys. J. C 70 √ [57] ATLAS Collaboration, Luminosity determination in pp collisions at s = 8 TeV (2010) 823, arXiv:1005.4568 [hep-ex]. using the ATLAS detector at the LHC, Eur. Phys. J. C 76 (2016) 653, arXiv:1608. [40] S. Agostinelli, et al., GEANT4: a simulation toolkit, Nucl. Instrum. Methods A 03953 [hep-ex]. 506 (2003) 250. [58] ATLAS Collaboration, HepData record for this publication, https://doi.org/10. [41] R. Mackeprang, D. Milstead, An updated description of heavy-hadron interac- 17182/hepdata.83962. tions in GEANT-4, Eur. Phys. J. C 66 (2010) 493, arXiv:0908.1868 [hep-ph]. [59] A.L. Read, Presentation of search results: the C L S technique, J. Phys. G 28 [42] W. Beenakker, R. Hopker, M. Spira, P.M. Zerwas, Squark and gluino production (2002) 2693. at hadron colliders, Nucl. Phys. B 492 (1997) 51, arXiv:hep-ph/9610490. [60] ATLAS Collaboration, Search for long-lived charginos based on a disappearing- [43] A. Kulesza, L. Motyka, Threshold resummation for squark–antisquark and √ gluino-pair production at the LHC, Phys. Rev. Lett. 102 (2009) 111802, arXiv: track signature in pp collisions at s = 13 TeV with the ATLAS detector, J. High 0807.2405 [hep-ph]. Energy Phys. 06 (2018) 022, arXiv:1712.02118 [hep-ex]. [61] ATLAS Collaboration, Search for long-lived, massive particles in events with [44] A. Kulesza, L. Motyka, Soft gluon resummation for the production of gluino– √ gluino and squark–antisquark pairs at the LHC, Phys. Rev. D 80 (2009) 095004, displaced vertices and missing transverse momentum in s = 13 TeV pp arXiv:0905.4749 [hep-ph]. collisions with the ATLAS detector, Phys. Rev. D 97 (2018) 052012, arXiv: [45] W. Beenakker, et al., Soft-gluon resummation for squark and gluino hadropro- 1710.04901 [hep-ex]. duction, J. High Energy Phys. 12 (2009) 041, arXiv:0909.4418 [hep-ph]. [62] ATLAS Collaboration, ATLAS computing acknowledgements, ATL-GEN-PUB- [46] W. Beenakker, et al., Squark and gluino hadroproduction, Int. J. Mod. Phys. A 2016-002, https://cds.cern.ch/record/2202407. 26 (2011) 2637, arXiv:1105.1110 [hep-ph]. The ATLAS Collaboration M. Aaboud 34d , G. Aad 99 , B. Abbott 124 , O. Abdinov 13,∗ , B. Abeloos 128 , D.K. Abhayasinghe 91 , S.H. Abidi 164 , O.S. AbouZeid 39 , N.L. Abraham 153 , H. Abramowicz 158 , H. Abreu 157 , Y. Abulaiti 6 , B.S. Acharya 64a,64b,n , S. Adachi 160 , L. Adam 97 , L. Adamczyk 81a , J. Adelman 119 , M. Adersberger 112 , A. Adiguzel 12c,ag , T. Adye 141 , A.A. Affolder 143 , Y. Afik 157 , C. Agheorghiesei 27c , J.A. Aguilar-Saavedra 136f,136a , F. Ahmadov 77,ae , G. Aielli 71a,71b , S. Akatsuka 83 , T.P.A. Åkesson 94 , E. Akilli 52 , A.V. Akimov 108 , G.L. Alberghi 23b,23a , J. Albert 173 , P. Albicocco 49 , M.J. Alconada Verzini 86 , S. Alderweireldt 117 , M. Aleksa 35 , I.N. Aleksandrov 77 , C. Alexa 27b , T. Alexopoulos 10 , M. Alhroob 124 , B. Ali 138 , G. Alimonti 66a , J. Alison 36 , S.P. Alkire 145 , C. Allaire 128 , B.M.M. Allbrooke 153 , B.W. Allen 127 , P.P. Allport 21 , A. Aloisio 67a,67b , A. Alonso 39 , F. Alonso 86 , C. Alpigiani 145 , A.A. Alshehri 55 , M.I. Alstaty 99 , B. Alvarez Gonzalez 35 , D. Álvarez Piqueras 171 , M.G. Alviggi 67a,67b , B.T. Amadio 18 , Y. Amaral Coutinho 78b , A. Ambler 101 , L. Ambroz 131 , C. Amelung 26 , D. Amidei 103 , S.P. Amor Dos Santos 136a,136c , S. Amoroso 44 , C.S. Amrouche 52 , C. Anastopoulos 146 , L.S. Ancu 52 , N. Andari 142 , T. Andeen 11 , C.F. Anders 59b , J.K. Anders 20 , K.J. Anderson 36 , A. Andreazza 66a,66b , V. Andrei 59a , C.R. Anelli 173 , S. Angelidakis 37 , I. Angelozzi 118 , A. Angerami 38 , A.V. Anisenkov 120b,120a , A. Annovi 69a , C. Antel 59a , M.T. Anthony 146 , M. Antonelli 49 , D.J.A. Antrim 168 , F. Anulli 70a , M. Aoki 79 , J.A. Aparisi Pozo 171 , L. Aperio Bella 35 , G. Arabidze 104 , J.P. Araque 136a , V. Araujo Ferraz 78b , R. Araujo Pereira 78b , A.T.H. Arce 47 , R.E. Ardell 91 , F.A. Arduh 86 , J-F. Arguin 107 , S. Argyropoulos 75 , A.J. Armbruster 35 , L.J. Armitage 90 , A. Armstrong 168 , O. Arnaez 164 , H. Arnold 118 , M. Arratia 31 , O. Arslan 24 , A. Artamonov 109,∗ , G. Artoni 131 , S. Artz 97 , S. Asai 160 , N. Asbah 57 , E.M. Asimakopoulou 169 , The ATLAS Collaboration / Physics Letters B 788 (2019) 96–116 105 L. Asquith 153 , K. Assamagan 29 , R. Astalos 28a , R.J. Atkin 32a , M. Atkinson 170 , N.B. Atlay 148 , K. Augsten 138 , G. Avolio 35 , R. Avramidou 58a , M.K. Ayoub 15a , G. Azuelos 107,ar , A.E. Baas 59a , M.J. Baca 21 , H. Bachacou 142 , K. Bachas 65a,65b , M. Backes 131 , P. Bagnaia 70a,70b , M. Bahmani 82 , H. Bahrasemani 149 , A.J. Bailey 171 , J.T. Baines 141 , M. Bajic 39 , C. Bakalis 10 , O.K. Baker 180 , P.J. Bakker 118 , D. Bakshi Gupta 93 , S. Balaji 154 , E.M. Baldin 120b,120a , P. Balek 177 , F. Balli 142 , W.K. Balunas 133 , J. Balz 97 , E. Banas 82 , A. Bandyopadhyay 24 , S. Banerjee 178,j , A.A.E. Bannoura 179 , L. Barak 158 , W.M. Barbe 37 , E.L. Barberio 102 , D. Barberis 53b,53a , M. Barbero 99 , T. Barillari 113 , M-S. Barisits 35 , J. Barkeloo 127 , T. Barklow 150 , R. Barnea 157 , S.L. Barnes 58c , B.M. Barnett 141 , R.M. Barnett 18 , Z. Barnovska-Blenessy 58a , A. Baroncelli 72a , G. Barone 26 , A.J. Barr 131 , L. Barranco Navarro 171 , F. Barreiro 96 , J. Barreiro Guimarães da Costa 15a , R. Bartoldus 150 , A.E. Barton 87 , P. Bartos 28a , A. Basalaev 134 , A. Bassalat 128 , R.L. Bates 55 , S.J. Batista 164 , S. Batlamous 34e , J.R. Batley 31 , M. Battaglia 143 , M. Bauce 70a,70b , F. Bauer 142 , K.T. Bauer 168 , H.S. Bawa 150,l , J.B. Beacham 122 , T. Beau 132 , P.H. Beauchemin 167 , P. Bechtle 24 , H.C. Beck 51 , H.P. Beck 20,q , K. Becker 50 , M. Becker 97 , C. Becot 44 , A. Beddall 12d , A.J. Beddall 12a , V.A. Bednyakov 77 , M. Bedognetti 118 , C.P. Bee 152 , T.A. Beermann 35 , M. Begalli 78b , M. Begel 29 , A. Behera 152 , J.K. Behr 44 , A.S. Bell 92 , G. Bella 158 , L. Bellagamba 23b , A. Bellerive 33 , M. Bellomo 157 , P. Bellos 9 , K. Belotskiy 110 , N.L. Belyaev 110 , O. Benary 158,∗ , D. Benchekroun 34a , M. Bender 112 , N. Benekos 10 , Y. Benhammou 158 , E. Benhar Noccioli 180 , J. Benitez 75 , D.P. Benjamin 47 , M. Benoit 52 , J.R. Bensinger 26 , S. Bentvelsen 118 , L. Beresford 131 , M. Beretta 49 , D. Berge 44 , E. Bergeaas Kuutmann 169 , N. Berger 5 , L.J. Bergsten 26 , J. Beringer 18 , S. Berlendis 7 , N.R. Bernard 100 , G. Bernardi 132 , C. Bernius 150 , F.U. Bernlochner 24 , T. Berry 91 , P. Berta 97 , C. Bertella 15a , G. Bertoli 43a,43b , I.A. Bertram 87 , G.J. Besjes 39 , O. Bessidskaia Bylund 179 , M. Bessner 44 , N. Besson 142 , A. Bethani 98 , S. Bethke 113 , A. Betti 24 , A.J. Bevan 90 , J. Beyer 113 , R.M. Bianchi 135 , O. Biebel 112 , D. Biedermann 19 , R. Bielski 35 , K. Bierwagen 97 , N.V. Biesuz 69a,69b , M. Biglietti 72a , T.R.V. Billoud 107 , M. Bindi 51 , A. Bingul 12d , C. Bini 70a,70b , S. Biondi 23b,23a , M. Birman 177 , T. Bisanz 51 , J.P. Biswal 158 , C. Bittrich 46 , D.M. Bjergaard 47 , J.E. Black 150 , K.M. Black 25 , T. Blazek 28a , I. Bloch 44 , C. Blocker 26 , A. Blue 55 , U. Blumenschein 90 , Dr. Blunier 144a , G.J. Bobbink 118 , V.S. Bobrovnikov 120b,120a , S.S. Bocchetta 94 , A. Bocci 47 , D. Boerner 179 , D. Bogavac 112 , A.G. Bogdanchikov 120b,120a , C. Bohm 43a , V. Boisvert 91 , P. Bokan 169,51 , T. Bold 81a , A.S. Boldyrev 111 , A.E. Bolz 59b , M. Bomben 132 , M. Bona 90 , J.S. Bonilla 127 , M. Boonekamp 142 , A. Borisov 140 , G. Borissov 87 , J. Bortfeldt 35 , D. Bortoletto 131 , V. Bortolotto 71a,71b , D. Boscherini 23b , M. Bosman 14 , J.D. Bossio Sola 30 , K. Bouaouda 34a , J. Boudreau 135 , E.V. Bouhova-Thacker 87 , D. Boumediene 37 , C. Bourdarios 128 , S.K. Boutle 55 , A. Boveia 122 , J. Boyd 35 , D. Boye 32b , I.R. Boyko 77 , A.J. Bozson 91 , J. Bracinik 21 , N. Brahimi 99 , A. Brandt 8 , G. Brandt 179 , O. Brandt 59a , F. Braren 44 , U. Bratzler 161 , B. Brau 100 , J.E. Brau 127 , W.D. Breaden Madden 55 , K. Brendlinger 44 , L. Brenner 44 , R. Brenner 169 , S. Bressler 177 , B. Brickwedde 97 , D.L. Briglin 21 , D. Britton 55 , D. Britzger 59b , I. Brock 24 , R. Brock 104 , G. Brooijmans 38 , T. Brooks 91 , W.K. Brooks 144b , E. Brost 119 , J.H. Broughton 21 , P.A. Bruckman de Renstrom 82 , D. Bruncko 28b , A. Bruni 23b , G. Bruni 23b , L.S. Bruni 118 , S. Bruno 71a,71b , B.H. Brunt 31 , M. Bruschi 23b , N. Bruscino 135 , P. Bryant 36 , L. Bryngemark 44 , T. Buanes 17 , Q. Buat 35 , P. Buchholz 148 , A.G. Buckley 55 , I.A. Budagov 77 , F. Buehrer 50 , M.K. Bugge 130 , O. Bulekov 110 , D. Bullock 8 , T.J. Burch 119 , S. Burdin 88 , C.D. Burgard 118 , A.M. Burger 5 , B. Burghgrave 119 , K. Burka 82 , S. Burke 141 , I. Burmeister 45 , J.T.P. Burr 131 , V. Büscher 97 , E. Buschmann 51 , P. Bussey 55 , J.M. Butler 25 , C.M. Buttar 55 , J.M. Butterworth 92 , P. Butti 35 , W. Buttinger 35 , A. Buzatu 155 , A.R. Buzykaev 120b,120a , G. Cabras 23b,23a , S. Cabrera Urbán 171 , D. Caforio 138 , H. Cai 170 , V.M.M. Cairo 2 , O. Cakir 4a , N. Calace 52 , P. Calafiura 18 , A. Calandri 99 , G. Calderini 132 , P. Calfayan 63 , G. Callea 40b,40a , L.P. Caloba 78b , S. Calvente Lopez 96 , D. Calvet 37 , S. Calvet 37 , T.P. Calvet 152 , M. Calvetti 69a,69b , R. Camacho Toro 132 , S. Camarda 35 , P. Camarri 71a,71b , D. Cameron 130 , R. Caminal Armadans 100 , C. Camincher 35 , S. Campana 35 , M. Campanelli 92 , A. Camplani 39 , A. Campoverde 148 , V. Canale 67a,67b , M. Cano Bret 58c , J. Cantero 125 , T. Cao 158 , Y. Cao 170 , M.D.M. Capeans Garrido 35 , I. Caprini 27b , M. Caprini 27b , M. Capua 40b,40a , R.M. Carbone 38 , R. Cardarelli 71a , F.C. Cardillo 146 , I. Carli 139 , T. Carli 35 , G. Carlino 67a , B.T. Carlson 135 , L. Carminati 66a,66b , R.M.D. Carney 43a,43b , S. Caron 117 , E. Carquin 144b , S. Carrá 66a,66b , G.D. Carrillo-Montoya 35 , D. Casadei 32b , M.P. Casado 14,f , A.F. Casha 164 , D.W. Casper 168 , R. Castelijn 118 , F.L. Castillo 171 , V. Castillo Gimenez 171 , N.F. Castro 136a,136e , A. Catinaccio 35 , J.R. Catmore 130 , A. Cattai 35 , J. Caudron 24 , V. Cavaliere 29 , E. Cavallaro 14 , D. Cavalli 66a , M. Cavalli-Sforza 14 , V. Cavasinni 69a,69b , E. Celebi 12b , F. Ceradini 72a,72b , 106 The ATLAS Collaboration / Physics Letters B 788 (2019) 96–116 L. Cerda Alberich 171 , A.S. Cerqueira 78a , A. Cerri 153 , L. Cerrito 71a,71b , F. Cerutti 18 , A. Cervelli 23b,23a , S.A. Cetin 12b , A. Chafaq 34a , D. Chakraborty 119 , S.K. Chan 57 , W.S. Chan 118 , Y.L. Chan 61a , J.D. Chapman 31 , B. Chargeishvili 156b , D.G. Charlton 21 , C.C. Chau 33 , C.A. Chavez Barajas 153 , S. Che 122 , A. Chegwidden 104 , S. Chekanov 6 , S.V. Chekulaev 165a , G.A. Chelkov 77,aq , M.A. Chelstowska 35 , C. Chen 58a , C.H. Chen 76 , H. Chen 29 , J. Chen 58a , J. Chen 38 , S. Chen 133 , S.J. Chen 15c , X. Chen 15b,ap , Y. Chen 80 , Y-H. Chen 44 , H.C. Cheng 103 , H.J. Cheng 15d , A. Cheplakov 77 , E. Cheremushkina 140 , R. Cherkaoui El Moursli 34e , E. Cheu 7 , K. Cheung 62 , L. Chevalier 142 , V. Chiarella 49 , G. Chiarelli 69a , G. Chiodini 65a , A.S. Chisholm 35,21 , A. Chitan 27b , I. Chiu 160 , Y.H. Chiu 173 , M.V. Chizhov 77 , K. Choi 63 , A.R. Chomont 128 , S. Chouridou 159 , Y.S. Chow 118 , V. Christodoulou 92 , M.C. Chu 61a , J. Chudoba 137 , A.J. Chuinard 101 , J.J. Chwastowski 82 , L. Chytka 126 , D. Cinca 45 , V. Cindro 89 , I.A. Cioară 24 , A. Ciocio 18 , F. Cirotto 67a,67b , Z.H. Citron 177 , M. Citterio 66a , A. Clark 52 , M.R. Clark 38 , P.J. Clark 48 , C. Clement 43a,43b , Y. Coadou 99 , M. Cobal 64a,64c , A. Coccaro 53b,53a , J. Cochran 76 , H. Cohen 158 , A.E.C. Coimbra 177 , L. Colasurdo 117 , B. Cole 38 , A.P. Colijn 118 , J. Collot 56 , P. Conde Muiño 136a,136b , E. Coniavitis 50 , S.H. Connell 32b , I.A. Connelly 98 , S. Constantinescu 27b , F. Conventi 67a,as , A.M. Cooper-Sarkar 131 , F. Cormier 172 , K.J.R. Cormier 164 , L.D. Corpe 92 , M. Corradi 70a,70b , E.E. Corrigan 94 , F. Corriveau 101,ac , A. Cortes-Gonzalez 35 , M.J. Costa 171 , F. Costanza 5 , D. Costanzo 146 , G. Cottin 31 , G. Cowan 91 , B.E. Cox 98 , J. Crane 98 , K. Cranmer 121 , S.J. Crawley 55 , R.A. Creager 133 , G. Cree 33 , S. Crépé-Renaudin 56 , F. Crescioli 132 , M. Cristinziani 24 , V. Croft 121 , G. Crosetti 40b,40a , A. Cueto 96 , T. Cuhadar Donszelmann 146 , A.R. Cukierman 150 , S. Czekierda 82 , P. Czodrowski 35 , M.J. Da Cunha Sargedas De Sousa 58b,136b , C. Da Via 98 , W. Dabrowski 81a , T. Dado 28a,x , S. Dahbi 34e , T. Dai 103 , F. Dallaire 107 , C. Dallapiccola 100 , M. Dam 39 , G. D’amen 23b,23a , J. Damp 97 , J.R. Dandoy 133 , M.F. Daneri 30 , N.P. Dang 178,j , N.D. Dann 98 , M. Danninger 172 , V. Dao 35 , G. Darbo 53b , S. Darmora 8 , O. Dartsi 5 , A. Dattagupta 127 , T. Daubney 44 , S. D’Auria 55 , W. Davey 24 , C. David 44 , T. Davidek 139 , D.R. Davis 47 , E. Dawe 102 , I. Dawson 146 , K. De 8 , R. De Asmundis 67a , A. De Benedetti 124 , M. De Beurs 118 , S. De Castro 23b,23a , S. De Cecco 70a,70b , N. De Groot 117 , P. de Jong 118 , H. De la Torre 104 , F. De Lorenzi 76 , A. De Maria 51,s , D. De Pedis 70a , A. De Salvo 70a , U. De Sanctis 71a,71b , M. De Santis 71a,71b , A. De Santo 153 , K. De Vasconcelos Corga 99 , J.B. De Vivie De Regie 128 , C. Debenedetti 143 , D.V. Dedovich 77 , N. Dehghanian 3 , M. Del Gaudio 40b,40a , J. Del Peso 96 , Y. Delabat Diaz 44 , D. Delgove 128 , F. Deliot 142 , C.M. Delitzsch 7 , M. Della Pietra 67a,67b , D. Della Volpe 52 , A. Dell’Acqua 35 , L. Dell’Asta 25 , M. Delmastro 5 , C. Delporte 128 , P.A. Delsart 56 , D.A. DeMarco 164 , S. Demers 180 , M. Demichev 77 , S.P. Denisov 140 , D. Denysiuk 118 , L. D’Eramo 132 , D. Derendarz 82 , J.E. Derkaoui 34d , F. Derue 132 , P. Dervan 88 , K. Desch 24 , C. Deterre 44 , K. Dette 164 , M.R. Devesa 30 , P.O. Deviveiros 35 , A. Dewhurst 141 , S. Dhaliwal 26 , F.A. Di Bello 52 , A. Di Ciaccio 71a,71b , L. Di Ciaccio 5 , W.K. Di Clemente 133 , C. Di Donato 67a,67b , A. Di Girolamo 35 , G. Di Gregorio 69a,69b , B. Di Micco 72a,72b , R. Di Nardo 100 , K.F. Di Petrillo 57 , R. Di Sipio 164 , D. Di Valentino 33 , C. Diaconu 99 , M. Diamond 164 , F.A. Dias 39 , T. Dias Do Vale 136a , M.A. Diaz 144a , J. Dickinson 18 , E.B. Diehl 103 , J. Dietrich 19 , S. Díez Cornell 44 , A. Dimitrievska 18 , J. Dingfelder 24 , F. Dittus 35 , F. Djama 99 , T. Djobava 156b , J.I. Djuvsland 59a , M.A.B. Do Vale 78c , M. Dobre 27b , D. Dodsworth 26 , C. Doglioni 94 , J. Dolejsi 139 , Z. Dolezal 139 , M. Donadelli 78d , J. Donini 37 , A. D’onofrio 90 , M. D’Onofrio 88 , J. Dopke 141 , A. Doria 67a , M.T. Dova 86 , A.T. Doyle 55 , E. Drechsler 51 , E. Dreyer 149 , T. Dreyer 51 , Y. Du 58b , F. Dubinin 108 , M. Dubovsky 28a , A. Dubreuil 52 , E. Duchovni 177 , G. Duckeck 112 , A. Ducourthial 132 , O.A. Ducu 107,w , D. Duda 113 , A. Dudarev 35 , A.C. Dudder 97 , E.M. Duffield 18 , L. Duflot 128 , M. Dührssen 35 , C. Dülsen 179 , M. Dumancic 177 , A.E. Dumitriu 27b,d , A.K. Duncan 55 , M. Dunford 59a , A. Duperrin 99 , H. Duran Yildiz 4a , M. Düren 54 , A. Durglishvili 156b , D. Duschinger 46 , B. Dutta 44 , D. Duvnjak 1 , M. Dyndal 44 , S. Dysch 98 , B.S. Dziedzic 82 , C. Eckardt 44 , K.M. Ecker 113 , R.C. Edgar 103 , T. Eifert 35 , G. Eigen 17 , K. Einsweiler 18 , T. Ekelof 169 , M. El Kacimi 34c , R. El Kosseifi 99 , V. Ellajosyula 99 , M. Ellert 169 , F. Ellinghaus 179 , A.A. Elliot 90 , N. Ellis 35 , J. Elmsheuser 29 , M. Elsing 35 , D. Emeliyanov 141 , Y. Enari 160 , J.S. Ennis 175 , M.B. Epland 47 , J. Erdmann 45 , A. Ereditato 20 , S. Errede 170 , M. Escalier 128 , C. Escobar 171 , O. Estrada Pastor 171 , A.I. Etienvre 142 , E. Etzion 158 , H. Evans 63 , A. Ezhilov 134 , M. Ezzi 34e , F. Fabbri 55 , L. Fabbri 23b,23a , V. Fabiani 117 , G. Facini 92 , R.M. Faisca Rodrigues Pereira 136a , R.M. Fakhrutdinov 140 , S. Falciano 70a , P.J. Falke 5 , S. Falke 5 , J. Faltova 139 , Y. Fang 15a , M. Fanti 66a,66b , A. Farbin 8 , A. Farilla 72a , E.M. Farina 68a,68b , T. Farooque 104 , S. Farrell 18 , S.M. Farrington 175 , P. Farthouat 35 , F. Fassi 34e , P. Fassnacht 35 , D. Fassouliotis 9 , M. Faucci Giannelli 48 , A. Favareto 53b,53a , W.J. Fawcett 31 , L. Fayard 128 , The ATLAS Collaboration / Physics Letters B 788 (2019) 96–116 107 O.L. Fedin 134,o , W. Fedorko 172 , M. Feickert 41 , S. Feigl 130 , L. Feligioni 99 , C. Feng 58b , E.J. Feng 35 , M. Feng 47 , M.J. Fenton 55 , A.B. Fenyuk 140 , L. Feremenga 8 , J. Ferrando 44 , A. Ferrari 169 , P. Ferrari 118 , R. Ferrari 68a , D.E. Ferreira de Lima 59b , A. Ferrer 171 , D. Ferrere 52 , C. Ferretti 103 , F. Fiedler 97 , A. Filipčič 89 , F. Filthaut 117 , K.D. Finelli 25 , M.C.N. Fiolhais 136a,136c,a , L. Fiorini 171 , C. Fischer 14 , W.C. Fisher 104 , N. Flaschel 44 , I. Fleck 148 , P. Fleischmann 103 , R.R.M. Fletcher 133 , T. Flick 179 , B.M. Flierl 112 , L.M. Flores 133 , L.R. Flores Castillo 61a , F.M. Follega 73a,73b , N. Fomin 17 , G.T. Forcolin 73a,73b , A. Formica 142 , F.A. Förster 14 , A.C. Forti 98 , A.G. Foster 21 , D. Fournier 128 , H. Fox 87 , S. Fracchia 146 , P. Francavilla 69a,69b , M. Franchini 23b,23a , S. Franchino 59a , D. Francis 35 , L. Franconi 143 , M. Franklin 57 , M. Frate 168 , M. Fraternali 68a,68b , A.N. Fray 90 , D. Freeborn 92 , S.M. Fressard-Batraneanu 35 , B. Freund 107 , W.S. Freund 78b , E.M. Freundlich 45 , D.C. Frizzell 124 , D. Froidevaux 35 , J.A. Frost 131 , C. Fukunaga 161 , E. Fullana Torregrosa 171 , T. Fusayasu 114 , J. Fuster 171 , O. Gabizon 157 , A. Gabrielli 23b,23a , A. Gabrielli 18 , G.P. Gach 81a , S. Gadatsch 52 , P. Gadow 113 , G. Gagliardi 53b,53a , L.G. Gagnon 107 , C. Galea 27b , B. Galhardo 136a,136c , E.J. Gallas 131 , B.J. Gallop 141 , P. Gallus 138 , G. Galster 39 , R. Gamboa Goni 90 , K.K. Gan 122 , S. Ganguly 177 , J. Gao 58a , Y. Gao 88 , Y.S. Gao 150,l , C. García 171 , J.E. García Navarro 171 , J.A. García Pascual 15a , M. Garcia-Sciveres 18 , R.W. Gardner 36 , N. Garelli 150 , V. Garonne 130 , K. Gasnikova 44 , A. Gaudiello 53b,53a , G. Gaudio 68a , I.L. Gavrilenko 108 , A. Gavrilyuk 109 , C. Gay 172 , G. Gaycken 24 , E.N. Gazis 10 , C.N.P. Gee 141 , J. Geisen 51 , M. Geisen 97 , M.P. Geisler 59a , K. Gellerstedt 43a,43b , C. Gemme 53b , M.H. Genest 56 , C. Geng 103 , S. Gentile 70a,70b , S. George 91 , D. Gerbaudo 14 , G. Gessner 45 , S. Ghasemi 148 , M. Ghasemi Bostanabad 173 , M. Ghneimat 24 , B. Giacobbe 23b , S. Giagu 70a,70b , N. Giangiacomi 23b,23a , P. Giannetti 69a , A. Giannini 67a,67b , S.M. Gibson 91 , M. Gignac 143 , D. Gillberg 33 , G. Gilles 179 , D.M. Gingrich 3,ar , M.P. Giordani 64a,64c , F.M. Giorgi 23b , P.F. Giraud 142 , P. Giromini 57 , G. Giugliarelli 64a,64c , D. Giugni 66a , F. Giuli 131 , M. Giulini 59b , S. Gkaitatzis 159 , I. Gkialas 9,i , E.L. Gkougkousis 14 , P. Gkountoumis 10 , L.K. Gladilin 111 , C. Glasman 96 , J. Glatzer 14 , P.C.F. Glaysher 44 , A. Glazov 44 , M. Goblirsch-Kolb 26 , J. Godlewski 82 , S. Goldfarb 102 , T. Golling 52 , D. Golubkov 140 , A. Gomes 136a,136b,136d , R. Goncalves Gama 78a , R. Gonçalo 136a , G. Gonella 50 , L. Gonella 21 , A. Gongadze 77 , F. Gonnella 21 , J.L. Gonski 57 , S. González de la Hoz 171 , S. Gonzalez-Sevilla 52 , L. Goossens 35 , P.A. Gorbounov 109 , H.A. Gordon 29 , B. Gorini 35 , E. Gorini 65a,65b , A. Gorišek 89 , A.T. Goshaw 47 , C. Gössling 45 , M.I. Gostkin 77 , C.A. Gottardo 24 , C.R. Goudet 128 , D. Goujdami 34c , A.G. Goussiou 145 , N. Govender 32b,b , C. Goy 5 , E. Gozani 157 , I. Grabowska-Bold 81a , P.O.J. Gradin 169 , E.C. Graham 88 , J. Gramling 168 , E. Gramstad 130 , S. Grancagnolo 19 , V. Gratchev 134 , P.M. Gravila 27f , F.G. Gravili 65a,65b , C. Gray 55 , H.M. Gray 18 , Z.D. Greenwood 93,ai , C. Grefe 24 , K. Gregersen 94 , I.M. Gregor 44 , P. Grenier 150 , K. Grevtsov 44 , N.A. Grieser 124 , J. Griffiths 8 , A.A. Grillo 143 , K. Grimm 150 , S. Grinstein 14,y , Ph. Gris 37 , J.-F. Grivaz 128 , S. Groh 97 , E. Gross 177 , J. Grosse-Knetter 51 , G.C. Grossi 93 , Z.J. Grout 92 , C. Grud 103 , A. Grummer 116 , L. Guan 103 , W. Guan 178 , J. Guenther 35 , A. Guerguichon 128 , F. Guescini 165a , D. Guest 168 , R. Gugel 50 , B. Gui 122 , T. Guillemin 5 , S. Guindon 35 , U. Gul 55 , C. Gumpert 35 , J. Guo 58c , W. Guo 103 , Y. Guo 58a,r , Z. Guo 99 , R. Gupta 41 , S. Gurbuz 12c , G. Gustavino 124 , B.J. Gutelman 157 , P. Gutierrez 124 , C. Gutschow 92 , C. Guyot 142 , M.P. Guzik 81a , C. Gwenlan 131 , C.B. Gwilliam 88 , A. Haas 121 , C. Haber 18 , H.K. Hadavand 8 , N. Haddad 34e , A. Hadef 58a , S. Hageböck 24 , M. Hagihara 166 , H. Hakobyan 181,∗ , M. Haleem 174 , J. Haley 125 , G. Halladjian 104 , G.D. Hallewell 99 , K. Hamacher 179 , P. Hamal 126 , K. Hamano 173 , A. Hamilton 32a , G.N. Hamity 146 , K. Han 58a,ah , L. Han 58a , S. Han 15d , K. Hanagaki 79,u , M. Hance 143 , D.M. Handl 112 , B. Haney 133 , R. Hankache 132 , P. Hanke 59a , E. Hansen 94 , J.B. Hansen 39 , J.D. Hansen 39 , M.C. Hansen 24 , P.H. Hansen 39 , K. Hara 166 , A.S. Hard 178 , T. Harenberg 179 , S. Harkusha 105 , P.F. Harrison 175 , N.M. Hartmann 112 , Y. Hasegawa 147 , A. Hasib 48 , S. Hassani 142 , S. Haug 20 , R. Hauser 104 , L. Hauswald 46 , L.B. Havener 38 , M. Havranek 138 , C.M. Hawkes 21 , R.J. Hawkings 35 , D. Hayden 104 , C. Hayes 152 , C.P. Hays 131 , J.M. Hays 90 , H.S. Hayward 88 , S.J. Haywood 141 , M.P. Heath 48 , V. Hedberg 94 , L. Heelan 8 , S. Heer 24 , K.K. Heidegger 50 , J. Heilman 33 , S. Heim 44 , T. Heim 18 , B. Heinemann 44,am , J.J. Heinrich 112 , L. Heinrich 121 , C. Heinz 54 , J. Hejbal 137 , L. Helary 35 , A. Held 172 , S. Hellesund 130 , S. Hellman 43a,43b , C. Helsens 35 , R.C.W. Henderson 87 , Y. Heng 178 , S. Henkelmann 172 , A.M. Henriques Correia 35 , G.H. Herbert 19 , H. Herde 26 , V. Herget 174 , Y. Hernández Jiménez 32c , H. Herr 97 , M.G. Herrmann 112 , G. Herten 50 , R. Hertenberger 112 , L. Hervas 35 , T.C. Herwig 133 , G.G. Hesketh 92 , N.P. Hessey 165a , J.W. Hetherly 41 , S. Higashino 79 , E. Higón-Rodriguez 171 , K. Hildebrand 36 , E. Hill 173 , J.C. Hill 31 , K.K. Hill 29 , K.H. Hiller 44 , S.J. Hillier 21 , M. Hils 46 , I. Hinchliffe 18 , 108 The ATLAS Collaboration / Physics Letters B 788 (2019) 96–116 M. Hirose 129 , D. Hirschbuehl 179 , B. Hiti 89 , O. Hladik 137 , D.R. Hlaluku 32c , X. Hoad 48 , J. Hobbs 152 , N. Hod 165a , M.C. Hodgkinson 146 , A. Hoecker 35 , M.R. Hoeferkamp 116 , F. Hoenig 112 , D. Hohn 24 , D. Hohov 128 , T.R. Holmes 36 , M. Holzbock 112 , M. Homann 45 , S. Honda 166 , T. Honda 79 , T.M. Hong 135 , A. Hönle 113 , B.H. Hooberman 170 , W.H. Hopkins 127 , Y. Horii 115 , P. Horn 46 , A.J. Horton 149 , L.A. Horyn 36 , J-Y. Hostachy 56 , A. Hostiuc 145 , S. Hou 155 , A. Hoummada 34a , J. Howarth 98 , J. Hoya 86 , M. Hrabovsky 126 , I. Hristova 19 , J. Hrivnac 128 , A. Hrynevich 106 , T. Hryn’ova 5 , P.J. Hsu 62 , S.-C. Hsu 145 , Q. Hu 29 , S. Hu 58c , Y. Huang 15a , Z. Hubacek 138 , F. Hubaut 99 , M. Huebner 24 , F. Huegging 24 , T.B. Huffman 131 , E.W. Hughes 38 , M. Huhtinen 35 , R.F.H. Hunter 33 , P. Huo 152 , A.M. Hupe 33 , N. Huseynov 77,ae , J. Huston 104 , J. Huth 57 , R. Hyneman 103 , G. Iacobucci 52 , G. Iakovidis 29 , I. Ibragimov 148 , L. Iconomidou-Fayard 128 , Z. Idrissi 34e , P. Iengo 35 , R. Ignazzi 39 , O. Igonkina 118,aa , R. Iguchi 160 , T. Iizawa 52 , Y. Ikegami 79 , M. Ikeno 79 , D. Iliadis 159 , N. Ilic 150 , F. Iltzsche 46 , G. Introzzi 68a,68b , M. Iodice 72a , K. Iordanidou 38 , V. Ippolito 70a,70b , M.F. Isacson 169 , N. Ishijima 129 , M. Ishino 160 , M. Ishitsuka 162 , W. Islam 125 , C. Issever 131 , S. Istin 157 , F. Ito 166 , J.M. Iturbe Ponce 61a , R. Iuppa 73a,73b , A. Ivina 177 , H. Iwasaki 79 , J.M. Izen 42 , V. Izzo 67a , P. Jacka 137 , P. Jackson 1 , R.M. Jacobs 24 , V. Jain 2 , G. Jäkel 179 , K.B. Jakobi 97 , K. Jakobs 50 , S. Jakobsen 74 , T. Jakoubek 137 , D.O. Jamin 125 , D.K. Jana 93 , R. Jansky 52 , J. Janssen 24 , M. Janus 51 , P.A. Janus 81a , G. Jarlskog 94 , N. Javadov 77,ae , T. Javůrek 35 , M. Javurkova 50 , F. Jeanneau 142 , L. Jeanty 18 , J. Jejelava 156a,af , A. Jelinskas 175 , P. Jenni 50,c , J. Jeong 44 , N. Jeong 44 , S. Jézéquel 5 , H. Ji 178 , J. Jia 152 , H. Jiang 76 , Y. Jiang 58a , Z. Jiang 150,p , S. Jiggins 50 , F.A. Jimenez Morales 37 , J. Jimenez Pena 171 , S. Jin 15c , A. Jinaru 27b , O. Jinnouchi 162 , H. Jivan 32c , P. Johansson 146 , K.A. Johns 7 , C.A. Johnson 63 , W.J. Johnson 145 , K. Jon-And 43a,43b , R.W.L. Jones 87 , S.D. Jones 153 , S. Jones 7 , T.J. Jones 88 , J. Jongmanns 59a , P.M. Jorge 136a,136b , J. Jovicevic 165a , X. Ju 18 , J.J. Junggeburth 113 , A. Juste Rozas 14,y , A. Kaczmarska 82 , M. Kado 128 , H. Kagan 122 , M. Kagan 150 , T. Kaji 176 , E. Kajomovitz 157 , C.W. Kalderon 94 , A. Kaluza 97 , S. Kama 41 , A. Kamenshchikov 140 , L. Kanjir 89 , Y. Kano 160 , V.A. Kantserov 110 , J. Kanzaki 79 , B. Kaplan 121 , L.S. Kaplan 178 , D. Kar 32c , M.J. Kareem 165b , E. Karentzos 10 , S.N. Karpov 77 , Z.M. Karpova 77 , V. Kartvelishvili 87 , A.N. Karyukhin 140 , L. Kashif 178 , R.D. Kass 122 , A. Kastanas 43a,43b , Y. Kataoka 160 , C. Kato 58d,58c , J. Katzy 44 , K. Kawade 80 , K. Kawagoe 85 , T. Kawamoto 160 , G. Kawamura 51 , E.F. Kay 88 , V.F. Kazanin 120b,120a , R. Keeler 173 , R. Kehoe 41 , J.S. Keller 33 , E. Kellermann 94 , J.J. Kempster 21 , J. Kendrick 21 , O. Kepka 137 , S. Kersten 179 , B.P. Kerševan 89 , R.A. Keyes 101 , M. Khader 170 , F. Khalil-Zada 13 , A. Khanov 125 , A.G. Kharlamov 120b,120a , T. Kharlamova 120b,120a , E.E. Khoda 172 , A. Khodinov 163 , T.J. Khoo 52 , E. Khramov 77 , J. Khubua 156b , S. Kido 80 , M. Kiehn 52 , C.R. Kilby 91 , Y.K. Kim 36 , N. Kimura 64a,64c , O.M. Kind 19 , B.T. King 88 , D. Kirchmeier 46 , J. Kirk 141 , A.E. Kiryunin 113 , T. Kishimoto 160 , D. Kisielewska 81a , V. Kitali 44 , O. Kivernyk 5 , E. Kladiva 28b,∗ , T. Klapdor-Kleingrothaus 50 , M.H. Klein 103 , M. Klein 88 , U. Klein 88 , K. Kleinknecht 97 , P. Klimek 119 , A. Klimentov 29 , R. Klingenberg 45,∗ , T. Klingl 24 , T. Klioutchnikova 35 , F.F. Klitzner 112 , P. Kluit 118 , S. Kluth 113 , E. Kneringer 74 , E.B.F.G. Knoops 99 , A. Knue 50 , A. Kobayashi 160 , D. Kobayashi 85 , T. Kobayashi 160 , M. Kobel 46 , M. Kocian 150 , P. Kodys 139 , P.T. Koenig 24 , T. Koffas 33 , E. Koffeman 118 , N.M. Köhler 113 , T. Koi 150 , M. Kolb 59b , I. Koletsou 5 , T. Kondo 79 , N. Kondrashova 58c , K. Köneke 50 , A.C. König 117 , T. Kono 79 , R. Konoplich 121,aj , V. Konstantinides 92 , N. Konstantinidis 92 , B. Konya 94 , R. Kopeliansky 63 , S. Koperny 81a , K. Korcyl 82 , K. Kordas 159 , G. Koren 158 , A. Korn 92 , I. Korolkov 14 , E.V. Korolkova 146 , N. Korotkova 111 , O. Kortner 113 , S. Kortner 113 , T. Kosek 139 , V.V. Kostyukhin 24 , A. Kotwal 47 , A. Koulouris 10 , A. Kourkoumeli-Charalampidi 68a,68b , C. Kourkoumelis 9 , E. Kourlitis 146 , V. Kouskoura 29 , A.B. Kowalewska 82 , R. Kowalewski 173 , T.Z. Kowalski 81a , C. Kozakai 160 , W. Kozanecki 142 , A.S. Kozhin 140 , V.A. Kramarenko 111 , G. Kramberger 89 , D. Krasnopevtsev 58a , M.W. Krasny 132 , A. Krasznahorkay 35 , D. Krauss 113 , J.A. Kremer 81a , J. Kretzschmar 88 , P. Krieger 164 , K. Krizka 18 , K. Kroeninger 45 , H. Kroha 113 , J. Kroll 137 , J. Kroll 133 , J. Krstic 16 , U. Kruchonak 77 , H. Krüger 24 , N. Krumnack 76 , M.C. Kruse 47 , T. Kubota 102 , S. Kuday 4b , J.T. Kuechler 179 , S. Kuehn 35 , A. Kugel 59a , F. Kuger 174 , T. Kuhl 44 , V. Kukhtin 77 , R. Kukla 99 , Y. Kulchitsky 105 , S. Kuleshov 144b , Y.P. Kulinich 170 , M. Kuna 56 , T. Kunigo 83 , A. Kupco 137 , T. Kupfer 45 , O. Kuprash 158 , H. Kurashige 80 , L.L. Kurchaninov 165a , Y.A. Kurochkin 105 , M.G. Kurth 15d , E.S. Kuwertz 35 , M. Kuze 162 , J. Kvita 126 , T. Kwan 101 , A. La Rosa 113 , J.L. La Rosa Navarro 78d , L. La Rotonda 40b,40a , F. La Ruffa 40b,40a , C. Lacasta 171 , F. Lacava 70a,70b , J. Lacey 44 , D.P.J. Lack 98 , H. Lacker 19 , D. Lacour 132 , E. Ladygin 77 , R. Lafaye 5 , B. Laforge 132 , T. Lagouri 32c , S. Lai 51 , S. Lammers 63 , W. Lampl 7 , E. Lançon 29 , U. Landgraf 50 , The ATLAS Collaboration / Physics Letters B 788 (2019) 96–116 109 M.P.J. Landon 90 , M.C. Lanfermann 52 , V.S. Lang 44 , J.C. Lange 14 , R.J. Langenberg 35 , A.J. Lankford 168 , F. Lanni 29 , K. Lantzsch 24 , A. Lanza 68a , A. Lapertosa 53b,53a , S. Laplace 132 , J.F. Laporte 142 , T. Lari 66a , F. Lasagni Manghi 23b,23a , M. Lassnig 35 , T.S. Lau 61a , A. Laudrain 128 , M. Lavorgna 67a,67b , A.T. Law 143 , M. Lazzaroni 66a,66b , B. Le 102 , O. Le Dortz 132 , E. Le Guirriec 99 , E.P. Le Quilleuc 142 , M. LeBlanc 7 , T. LeCompte 6 , F. Ledroit-Guillon 56 , C.A. Lee 29 , G.R. Lee 144a , L. Lee 57 , S.C. Lee 155 , B. Lefebvre 101 , M. Lefebvre 173 , F. Legger 112 , C. Leggett 18 , K. Lehmann 149 , N. Lehmann 179 , G. Lehmann Miotto 35 , W.A. Leight 44 , A. Leisos 159,v , M.A.L. Leite 78d , R. Leitner 139 , D. Lellouch 177 , B. Lemmer 51 , K.J.C. Leney 92 , T. Lenz 24 , B. Lenzi 35 , R. Leone 7 , S. Leone 69a , C. Leonidopoulos 48 , G. Lerner 153 , C. Leroy 107 , R. Les 164 , A.A.J. Lesage 142 , C.G. Lester 31 , M. Levchenko 134 , J. Levêque 5 , D. Levin 103 , L.J. Levinson 177 , D. Lewis 90 , B. Li 103 , C-Q. Li 58a , H. Li 58b , L. Li 58c , M. Li 15a , Q. Li 15d , Q.Y. Li 58a , S. Li 58d,58c , X. Li 58c , Y. Li 148 , Z. Liang 15a , B. Liberti 71a , A. Liblong 164 , K. Lie 61c , S. Liem 118 , A. Limosani 154 , C.Y. Lin 31 , K. Lin 104 , T.H. Lin 97 , R.A. Linck 63 , J.H. Lindon 21 , B.E. Lindquist 152 , A.L. Lionti 52 , E. Lipeles 133 , A. Lipniacka 17 , M. Lisovyi 59b , T.M. Liss 170,ao , A. Lister 172 , A.M. Litke 143 , J.D. Little 8 , B. Liu 76 , B.L. Liu 6 , H.B. Liu 29 , H. Liu 103 , J.B. Liu 58a , J.K.K. Liu 131 , K. Liu 132 , M. Liu 58a , P. Liu 18 , Y. Liu 15a , Y.L. Liu 58a , Y.W. Liu 58a , M. Livan 68a,68b , A. Lleres 56 , J. Llorente Merino 15a , S.L. Lloyd 90 , C.Y. Lo 61b , F. Lo Sterzo 41 , E.M. Lobodzinska 44 , P. Loch 7 , T. Lohse 19 , K. Lohwasser 146 , M. Lokajicek 137 , B.A. Long 25 , J.D. Long 170 , R.E. Long 87 , L. Longo 65a,65b , K.A. Looper 122 , J.A. Lopez 144b , I. Lopez Paz 14 , A. Lopez Solis 146 , J. Lorenz 112 , N. Lorenzo Martinez 5 , M. Losada 22 , P.J. Lösel 112 , A. Lösle 50 , X. Lou 44 , X. Lou 15a , A. Lounis 128 , J. Love 6 , P.A. Love 87 , J.J. Lozano Bahilo 171 , H. Lu 61a , M. Lu 58a , N. Lu 103 , Y.J. Lu 62 , H.J. Lubatti 145 , C. Luci 70a,70b , A. Lucotte 56 , C. Luedtke 50 , F. Luehring 63 , I. Luise 132 , L. Luminari 70a , B. Lund-Jensen 151 , M.S. Lutz 100 , P.M. Luzi 132 , D. Lynn 29 , R. Lysak 137 , E. Lytken 94 , F. Lyu 15a , V. Lyubushkin 77 , H. Ma 29 , L.L. Ma 58b , Y. Ma 58b , G. Maccarrone 49 , A. Macchiolo 113 , C.M. Macdonald 146 , J. Machado Miguens 133,136b , D. Madaffari 171 , R. Madar 37 , W.F. Mader 46 , A. Madsen 44 , N. Madysa 46 , J. Maeda 80 , K. Maekawa 160 , S. Maeland 17 , T. Maeno 29 , A.S. Maevskiy 111 , V. Magerl 50 , C. Maidantchik 78b , T. Maier 112 , A. Maio 136a,136b,136d , O. Majersky 28a , S. Majewski 127 , Y. Makida 79 , N. Makovec 128 , B. Malaescu 132 , Pa. Malecki 82 , V.P. Maleev 134 , F. Malek 56 , U. Mallik 75 , D. Malon 6 , C. Malone 31 , S. Maltezos 10 , S. Malyukov 35 , J. Mamuzic 171 , G. Mancini 49 , I. Mandić 89 , J. Maneira 136a , L. Manhaes de Andrade Filho 78a , J. Manjarres Ramos 46 , K.H. Mankinen 94 , A. Mann 112 , A. Manousos 74 , B. Mansoulie 142 , J.D. Mansour 15a , M. Mantoani 51 , S. Manzoni 66a,66b , A. Marantis 159 , G. Marceca 30 , L. March 52 , L. Marchese 131 , G. Marchiori 132 , M. Marcisovsky 137 , C.A. Marin Tobon 35 , M. Marjanovic 37 , D.E. Marley 103 , F. Marroquim 78b , Z. Marshall 18 , M.U.F. Martensson 169 , S. Marti-Garcia 171 , C.B. Martin 122 , T.A. Martin 175 , V.J. Martin 48 , B. Martin dit Latour 17 , M. Martinez 14,y , V.I. Martinez Outschoorn 100 , S. Martin-Haugh 141 , V.S. Martoiu 27b , A.C. Martyniuk 92 , A. Marzin 35 , L. Masetti 97 , T. Mashimo 160 , R. Mashinistov 108 , J. Masik 98 , A.L. Maslennikov 120b,120a , L.H. Mason 102 , L. Massa 71a,71b , P. Massarotti 67a,67b , P. Mastrandrea 5 , A. Mastroberardino 40b,40a , T. Masubuchi 160 , P. Mättig 179 , J. Maurer 27b , B. Maček 89 , S.J. Maxfield 88 , D.A. Maximov 120b,120a , R. Mazini 155 , I. Maznas 159 , S.M. Mazza 143 , N.C. Mc Fadden 116 , G. Mc Goldrick 164 , S.P. Mc Kee 103 , A. McCarn 103 , T.G. McCarthy 113 , L.I. McClymont 92 , E.F. McDonald 102 , J.A. Mcfayden 35 , G. Mchedlidze 51 , M.A. McKay 41 , K.D. McLean 173 , S.J. McMahon 141 , P.C. McNamara 102 , C.J. McNicol 175 , R.A. McPherson 173,ac , J.E. Mdhluli 32c , Z.A. Meadows 100 , S. Meehan 145 , T.M. Megy 50 , S. Mehlhase 112 , A. Mehta 88 , T. Meideck 56 , B. Meirose 42 , D. Melini 171,g , B.R. Mellado Garcia 32c , J.D. Mellenthin 51 , M. Melo 28a , F. Meloni 44 , A. Melzer 24 , S.B. Menary 98 , E.D. Mendes Gouveia 136a , L. Meng 88 , X.T. Meng 103 , A. Mengarelli 23b,23a , S. Menke 113 , E. Meoni 40b,40a , S. Mergelmeyer 19 , S.A.M. Merkt 135 , C. Merlassino 20 , P. Mermod 52 , L. Merola 67a,67b , C. Meroni 66a , F.S. Merritt 36 , A. Messina 70a,70b , J. Metcalfe 6 , A.S. Mete 168 , C. Meyer 133 , J. Meyer 157 , J-P. Meyer 142 , H. Meyer Zu Theenhausen 59a , F. Miano 153 , R.P. Middleton 141 , L. Mijović 48 , G. Mikenberg 177 , M. Mikestikova 137 , M. Mikuž 89 , M. Milesi 102 , A. Milic 164 , D.A. Millar 90 , D.W. Miller 36 , A. Milov 177 , D.A. Milstead 43a,43b , A.A. Minaenko 140 , M. Miñano Moya 171 , I.A. Minashvili 156b , A.I. Mincer 121 , B. Mindur 81a , M. Mineev 77 , Y. Minegishi 160 , Y. Ming 178 , L.M. Mir 14 , A. Mirto 65a,65b , K.P. Mistry 133 , T. Mitani 176 , J. Mitrevski 112 , V.A. Mitsou 171 , A. Miucci 20 , P.S. Miyagawa 146 , A. Mizukami 79 , J.U. Mjörnmark 94 , T. Mkrtchyan 181 , M. Mlynarikova 139 , T. Moa 43a,43b , K. Mochizuki 107 , P. Mogg 50 , S. Mohapatra 38 , S. Molander 43a,43b , R. Moles-Valls 24 , M.C. Mondragon 104 , K. Mönig 44 , J. Monk 39 , E. Monnier 99 , A. Montalbano 149 , J. Montejo Berlingen 35 , F. Monticelli 86 , 110 The ATLAS Collaboration / Physics Letters B 788 (2019) 96–116 S. Monzani 66a , N. Morange 128 , D. Moreno 22 , M. Moreno Llácer 35 , P. Morettini 53b , M. Morgenstern 118 , S. Morgenstern 46 , D. Mori 149 , M. Morii 57 , M. Morinaga 176 , V. Morisbak 130 , A.K. Morley 35 , G. Mornacchi 35 , A.P. Morris 92 , J.D. Morris 90 , L. Morvaj 152 , P. Moschovakos 10 , M. Mosidze 156b , H.J. Moss 146 , J. Moss 150,m , K. Motohashi 162 , R. Mount 150 , E. Mountricha 35 , E.J.W. Moyse 100 , S. Muanza 99 , F. Mueller 113 , J. Mueller 135 , R.S.P. Mueller 112 , D. Muenstermann 87 , G.A. Mullier 94 , F.J. Munoz Sanchez 98 , P. Murin 28b , W.J. Murray 175,141 , A. Murrone 66a,66b , M. Muškinja 89 , C. Mwewa 32a , A.G. Myagkov 140,ak , J. Myers 127 , M. Myska 138 , B.P. Nachman 18 , O. Nackenhorst 45 , K. Nagai 131 , K. Nagano 79 , Y. Nagasaka 60 , M. Nagel 50 , E. Nagy 99 , A.M. Nairz 35 , Y. Nakahama 115 , K. Nakamura 79 , T. Nakamura 160 , I. Nakano 123 , H. Nanjo 129 , F. Napolitano 59a , R.F. Naranjo Garcia 44 , R. Narayan 11 , D.I. Narrias Villar 59a , I. Naryshkin 134 , T. Naumann 44 , G. Navarro 22 , R. Nayyar 7 , H.A. Neal 103 , P.Y. Nechaeva 108 , T.J. Neep 142 , A. Negri 68a,68b , M. Negrini 23b , S. Nektarijevic 117 , C. Nellist 51 , M.E. Nelson 131 , S. Nemecek 137 , P. Nemethy 121 , M. Nessi 35,e , M.S. Neubauer 170 , M. Neumann 179 , P.R. Newman 21 , T.Y. Ng 61c , Y.S. Ng 19 , H.D.N. Nguyen 99 , T. Nguyen Manh 107 , E. Nibigira 37 , R.B. Nickerson 131 , R. Nicolaidou 142 , D.S. Nielsen 39 , J. Nielsen 143 , N. Nikiforou 11 , V. Nikolaenko 140,ak , I. Nikolic-Audit 132 , K. Nikolopoulos 21 , P. Nilsson 29 , Y. Ninomiya 79 , A. Nisati 70a , N. Nishu 58c , R. Nisius 113 , I. Nitsche 45 , T. Nitta 176 , T. Nobe 160 , Y. Noguchi 83 , M. Nomachi 129 , I. Nomidis 132 , M.A. Nomura 29 , T. Nooney 90 , M. Nordberg 35 , N. Norjoharuddeen 131 , T. Novak 89 , O. Novgorodova 46 , R. Novotny 138 , L. Nozka 126 , K. Ntekas 168 , E. Nurse 92 , F. Nuti 102 , F.G. Oakham 33,ar , H. Oberlack 113 , T. Obermann 24 , J. Ocariz 132 , A. Ochi 80 , I. Ochoa 38 , J.P. Ochoa-Ricoux 144a , K. O’Connor 26 , S. Oda 85 , S. Odaka 79 , S. Oerdek 51 , A. Oh 98 , S.H. Oh 47 , C.C. Ohm 151 , H. Oide 53b,53a , M.L. Ojeda 164 , H. Okawa 166 , Y. Okazaki 83 , Y. Okumura 160 , T. Okuyama 79 , A. Olariu 27b , L.F. Oleiro Seabra 136a , S.A. Olivares Pino 144a , D. Oliveira Damazio 29 , J.L. Oliver 1 , M.J.R. Olsson 36 , A. Olszewski 82 , J. Olszowska 82 , D.C. O’Neil 149 , A. Onofre 136a,136e , K. Onogi 115 , P.U.E. Onyisi 11 , H. Oppen 130 , M.J. Oreglia 36 , G.E. Orellana 86 , Y. Oren 158 , D. Orestano 72a,72b , E.C. Orgill 98 , N. Orlando 61b , A.A. O’Rourke 44 , R.S. Orr 164 , B. Osculati 53b,53a,∗ , V. O’Shea 55 , R. Ospanov 58a , G. Otero y Garzon 30 , H. Otono 85 , M. Ouchrif 34d , F. Ould-Saada 130 , A. Ouraou 142 , Q. Ouyang 15a , M. Owen 55 , R.E. Owen 21 , V.E. Ozcan 12c , N. Ozturk 8 , J. Pacalt 126 , H.A. Pacey 31 , K. Pachal 149 , A. Pacheco Pages 14 , L. Pacheco Rodriguez 142 , C. Padilla Aranda 14 , S. Pagan Griso 18 , M. Paganini 180 , G. Palacino 63 , S. Palazzo 40b,40a , S. Palestini 35 , M. Palka 81b , D. Pallin 37 , I. Panagoulias 10 , C.E. Pandini 35 , J.G. Panduro Vazquez 91 , P. Pani 35 , G. Panizzo 64a,64c , L. Paolozzi 52 , T.D. Papadopoulou 10 , K. Papageorgiou 9,i , A. Paramonov 6 , D. Paredes Hernandez 61b , S.R. Paredes Saenz 131 , B. Parida 163 , A.J. Parker 87 , K.A. Parker 44 , M.A. Parker 31 , F. Parodi 53b,53a , J.A. Parsons 38 , U. Parzefall 50 , V.R. Pascuzzi 164 , J.M.P. Pasner 143 , E. Pasqualucci 70a , S. Passaggio 53b , F. Pastore 91 , P. Pasuwan 43a,43b , S. Pataraia 97 , J.R. Pater 98 , A. Pathak 178,j , T. Pauly 35 , B. Pearson 113 , M. Pedersen 130 , L. Pedraza Diaz 117 , R. Pedro 136a,136b , S.V. Peleganchuk 120b,120a , O. Penc 137 , C. Peng 15d , H. Peng 58a , B.S. Peralva 78a , M.M. Perego 142 , A.P. Pereira Peixoto 136a , D.V. Perepelitsa 29 , F. Peri 19 , L. Perini 66a,66b , H. Pernegger 35 , S. Perrella 67a,67b , V.D. Peshekhonov 77,∗ , K. Peters 44 , R.F.Y. Peters 98 , B.A. Petersen 35 , T.C. Petersen 39 , E. Petit 56 , A. Petridis 1 , C. Petridou 159 , P. Petroff 128 , M. Petrov 131 , F. Petrucci 72a,72b , M. Pettee 180 , N.E. Pettersson 100 , A. Peyaud 142 , R. Pezoa 144b , T. Pham 102 , F.H. Phillips 104 , P.W. Phillips 141 , M.W. Phipps 170 , G. Piacquadio 152 , E. Pianori 18 , A. Picazio 100 , M.A. Pickering 131 , R.H. Pickles 98 , R. Piegaia 30 , J.E. Pilcher 36 , A.D. Pilkington 98 , M. Pinamonti 71a,71b , J.L. Pinfold 3 , M. Pitt 177 , L. Pizzimento 71a,71b , M-A. Pleier 29 , V. Pleskot 139 , E. Plotnikova 77 , D. Pluth 76 , P. Podberezko 120b,120a , R. Poettgen 94 , R. Poggi 52 , L. Poggioli 128 , I. Pogrebnyak 104 , D. Pohl 24 , I. Pokharel 51 , G. Polesello 68a , A. Poley 18 , A. Policicchio 70a,70b , R. Polifka 35 , A. Polini 23b , C.S. Pollard 44 , V. Polychronakos 29 , D. Ponomarenko 110 , L. Pontecorvo 70a , G.A. Popeneciu 27d , D.M. Portillo Quintero 132 , S. Pospisil 138 , K. Potamianos 44 , I.N. Potrap 77 , C.J. Potter 31 , H. Potti 11 , T. Poulsen 94 , J. Poveda 35 , T.D. Powell 146 , M.E. Pozo Astigarraga 35 , P. Pralavorio 99 , S. Prell 76 , D. Price 98 , M. Primavera 65a , S. Prince 101 , N. Proklova 110 , K. Prokofiev 61c , F. Prokoshin 144b , S. Protopopescu 29 , J. Proudfoot 6 , M. Przybycien 81a , A. Puri 170 , P. Puzo 128 , J. Qian 103 , Y. Qin 98 , A. Quadt 51 , M. Queitsch-Maitland 44 , A. Qureshi 1 , P. Rados 102 , F. Ragusa 66a,66b , G. Rahal 95 , J.A. Raine 52 , S. Rajagopalan 29 , A. Ramirez Morales 90 , T. Rashid 128 , S. Raspopov 5 , M.G. Ratti 66a,66b , D.M. Rauch 44 , F. Rauscher 112 , S. Rave 97 , B. Ravina 146 , I. Ravinovich 177 , J.H. Rawling 98 , M. Raymond 35 , A.L. Read 130 , N.P. Readioff 56 , M. Reale 65a,65b , D.M. Rebuzzi 68a,68b , A. Redelbach 174 , G. Redlinger 29 , R. Reece 143 , R.G. Reed 32c , The ATLAS Collaboration / Physics Letters B 788 (2019) 96–116 111 K. Reeves 42 , L. Rehnisch 19 , J. Reichert 133 , D. Reikher 158 , A. Reiss 97 , C. Rembser 35 , H. Ren 15d , M. Rescigno 70a , S. Resconi 66a , E.D. Resseguie 133 , S. Rettie 172 , E. Reynolds 21 , O.L. Rezanova 120b,120a , P. Reznicek 139 , E. Ricci 73a,73b , R. Richter 113 , S. Richter 44 , E. Richter-Was 81b , O. Ricken 24 , M. Ridel 132 , P. Rieck 113 , C.J. Riegel 179 , O. Rifki 44 , M. Rijssenbeek 152 , A. Rimoldi 68a,68b , M. Rimoldi 20 , L. Rinaldi 23b , G. Ripellino 151 , B. Ristić 87 , E. Ritsch 35 , I. Riu 14 , J.C. Rivera Vergara 144a , F. Rizatdinova 125 , E. Rizvi 90 , C. Rizzi 14 , R.T. Roberts 98 , S.H. Robertson 101,ac , D. Robinson 31 , J.E.M. Robinson 44 , A. Robson 55 , E. Rocco 97 , C. Roda 69a,69b , Y. Rodina 99 , S. Rodriguez Bosca 171 , A. Rodriguez Perez 14 , D. Rodriguez Rodriguez 171 , A.M. Rodríguez Vera 165b , S. Roe 35 , C.S. Rogan 57 , O. Røhne 130 , R. Röhrig 113 , C.P.A. Roland 63 , J. Roloff 57 , A. Romaniouk 110 , M. Romano 23b,23a , N. Rompotis 88 , M. Ronzani 121 , L. Roos 132 , S. Rosati 70a , K. Rosbach 50 , P. Rose 143 , N-A. Rosien 51 , B.J. Rosser 133 , E. Rossi 44 , E. Rossi 72a,72b , E. Rossi 67a,67b , L.P. Rossi 53b , L. Rossini 66a,66b , J.H.N. Rosten 31 , R. Rosten 14 , M. Rotaru 27b , J. Rothberg 145 , D. Rousseau 128 , D. Roy 32c , A. Rozanov 99 , Y. Rozen 157 , X. Ruan 32c , F. Rubbo 150 , F. Rühr 50 , A. Ruiz-Martinez 171 , Z. Rurikova 50 , N.A. Rusakovich 77 , H.L. Russell 101 , J.P. Rutherfoord 7 , E.M. Rüttinger 44,k , Y.F. Ryabov 134 , M. Rybar 170 , G. Rybkin 128 , S. Ryu 6 , A. Ryzhov 140 , G.F. Rzehorz 51 , P. Sabatini 51 , G. Sabato 118 , S. Sacerdoti 128 , H.F-W. Sadrozinski 143 , R. Sadykov 77 , F. Safai Tehrani 70a , P. Saha 119 , M. Sahinsoy 59a , A. Sahu 179 , M. Saimpert 44 , M. Saito 160 , T. Saito 160 , H. Sakamoto 160 , A. Sakharov 121,aj , D. Salamani 52 , G. Salamanna 72a,72b , J.E. Salazar Loyola 144b , P.H. Sales De Bruin 169 , D. Salihagic 113 , A. Salnikov 150 , J. Salt 171 , D. Salvatore 40b,40a , F. Salvatore 153 , A. Salvucci 61a,61b,61c , A. Salzburger 35 , J. Samarati 35 , D. Sammel 50 , D. Sampsonidis 159 , D. Sampsonidou 159 , J. Sánchez 171 , A. Sanchez Pineda 64a,64c , H. Sandaker 130 , C.O. Sander 44 , M. Sandhoff 179 , C. Sandoval 22 , D.P.C. Sankey 141 , M. Sannino 53b,53a , Y. Sano 115 , A. Sansoni 49 , C. Santoni 37 , H. Santos 136a , I. Santoyo Castillo 153 , A. Santra 171 , A. Sapronov 77 , J.G. Saraiva 136a,136d , O. Sasaki 79 , K. Sato 166 , E. Sauvan 5 , P. Savard 164,ar , N. Savic 113 , R. Sawada 160 , C. Sawyer 141 , L. Sawyer 93,ai , C. Sbarra 23b , A. Sbrizzi 23b,23a , T. Scanlon 92 , J. Schaarschmidt 145 , P. Schacht 113 , B.M. Schachtner 112 , D. Schaefer 36 , L. Schaefer 133 , J. Schaeffer 97 , S. Schaepe 35 , U. Schäfer 97 , A.C. Schaffer 128 , D. Schaile 112 , R.D. Schamberger 152 , N. Scharmberg 98 , V.A. Schegelsky 134 , D. Scheirich 139 , F. Schenck 19 , M. Schernau 168 , C. Schiavi 53b,53a , S. Schier 143 , L.K. Schildgen 24 , Z.M. Schillaci 26 , E.J. Schioppa 35 , M. Schioppa 40b,40a , K.E. Schleicher 50 , S. Schlenker 35 , K.R. Schmidt-Sommerfeld 113 , K. Schmieden 35 , C. Schmitt 97 , S. Schmitt 44 , S. Schmitz 97 , J.C. Schmoeckel 44 , U. Schnoor 50 , L. Schoeffel 142 , A. Schoening 59b , E. Schopf 131 , M. Schott 97 , J.F.P. Schouwenberg 117 , J. Schovancova 35 , S. Schramm 52 , A. Schulte 97 , H-C. Schultz-Coulon 59a , M. Schumacher 50 , B.A. Schumm 143 , Ph. Schune 142 , A. Schwartzman 150 , T.A. Schwarz 103 , Ph. Schwemling 142 , R. Schwienhorst 104 , A. Sciandra 24 , G. Sciolla 26 , M. Scornajenghi 40b,40a , F. Scuri 69a , F. Scutti 102 , L.M. Scyboz 113 , J. Searcy 103 , C.D. Sebastiani 70a,70b , P. Seema 19 , S.C. Seidel 116 , A. Seiden 143 , T. Seiss 36 , J.M. Seixas 78b , G. Sekhniaidze 67a , K. Sekhon 103 , S.J. Sekula 41 , N. Semprini-Cesari 23b,23a , S. Sen 47 , S. Senkin 37 , C. Serfon 130 , L. Serin 128 , L. Serkin 64a,64b , M. Sessa 58a , H. Severini 124 , F. Sforza 167 , A. Sfyrla 52 , E. Shabalina 51 , J.D. Shahinian 143 , N.W. Shaikh 43a,43b , L.Y. Shan 15a , R. Shang 170 , J.T. Shank 25 , M. Shapiro 18 , A.S. Sharma 1 , A. Sharma 131 , P.B. Shatalov 109 , K. Shaw 153 , S.M. Shaw 98 , A. Shcherbakova 134 , Y. Shen 124 , N. Sherafati 33 , A.D. Sherman 25 , P. Sherwood 92 , L. Shi 155,an , S. Shimizu 79 , C.O. Shimmin 180 , M. Shimojima 114 , I.P.J. Shipsey 131 , S. Shirabe 85 , M. Shiyakova 77 , J. Shlomi 177 , A. Shmeleva 108 , D. Shoaleh Saadi 107 , M.J. Shochet 36 , S. Shojaii 102 , D.R. Shope 124 , S. Shrestha 122 , E. Shulga 110 , P. Sicho 137 , A.M. Sickles 170 , P.E. Sidebo 151 , E. Sideras Haddad 32c , O. Sidiropoulou 35 , A. Sidoti 23b,23a , F. Siegert 46 , Dj. Sijacki 16 , J. Silva 136a , M. Silva Jr. 178 , M.V. Silva Oliveira 78a , S.B. Silverstein 43a , S. Simion 128 , E. Simioni 97 , M. Simon 97 , R. Simoniello 97 , P. Sinervo 164 , N.B. Sinev 127 , M. Sioli 23b,23a , G. Siragusa 174 , I. Siral 103 , S.Yu. Sivoklokov 111 , J. Sjölin 43a,43b , P. Skubic 124 , M. Slater 21 , T. Slavicek 138 , M. Slawinska 82 , K. Sliwa 167 , R. Slovak 139 , V. Smakhtin 177 , B.H. Smart 5 , J. Smiesko 28a , N. Smirnov 110 , S.Yu. Smirnov 110 , Y. Smirnov 110 , L.N. Smirnova 111 , O. Smirnova 94 , J.W. Smith 51 , M.N.K. Smith 38 , M. Smizanska 87 , K. Smolek 138 , A. Smykiewicz 82 , A.A. Snesarev 108 , I.M. Snyder 127 , S. Snyder 29 , R. Sobie 173,ac , A.M. Soffa 168 , A. Soffer 158 , A. Søgaard 48 , D.A. Soh 155 , G. Sokhrannyi 89 , C.A. Solans Sanchez 35 , M. Solar 138 , E.Yu. Soldatov 110 , U. Soldevila 171 , A.A. Solodkov 140 , A. Soloshenko 77 , O.V. Solovyanov 140 , V. Solovyev 134 , P. Sommer 146 , H. Son 167 , W. Song 141 , W.Y. Song 165b , A. Sopczak 138 , F. Sopkova 28b , 112 The ATLAS Collaboration / Physics Letters B 788 (2019) 96–116 C.L. Sotiropoulou 69a,69b , S. Sottocornola 68a,68b , R. Soualah 64a,64c,h , A.M. Soukharev 120b,120a , D. South 44 , B.C. Sowden 91 , S. Spagnolo 65a,65b , M. Spalla 113 , M. Spangenberg 175 , F. Spanò 91 , D. Sperlich 19 , F. Spettel 113 , T.M. Spieker 59a , R. Spighi 23b , G. Spigo 35 , L.A. Spiller 102 , D.P. Spiteri 55 , M. Spousta 139 , A. Stabile 66a,66b , R. Stamen 59a , S. Stamm 19 , E. Stanecka 82 , R.W. Stanek 6 , C. Stanescu 72a , B. Stanislaus 131 , M.M. Stanitzki 44 , B. Stapf 118 , S. Stapnes 130 , E.A. Starchenko 140 , G.H. Stark 36 , J. Stark 56 , S.H. Stark 39 , P. Staroba 137 , P. Starovoitov 59a , S. Stärz 35 , R. Staszewski 82 , M. Stegler 44 , P. Steinberg 29 , B. Stelzer 149 , H.J. Stelzer 35 , O. Stelzer-Chilton 165a , H. Stenzel 54 , T.J. Stevenson 90 , G.A. Stewart 55 , M.C. Stockton 127 , G. Stoicea 27b , P. Stolte 51 , S. Stonjek 113 , A. Straessner 46 , J. Strandberg 151 , S. Strandberg 43a,43b , M. Strauss 124 , P. Strizenec 28b , R. Ströhmer 174 , D.M. Strom 127 , R. Stroynowski 41 , A. Strubig 48 , S.A. Stucci 29 , B. Stugu 17 , J. Stupak 124 , N.A. Styles 44 , D. Su 150 , J. Su 135 , S. Suchek 59a , Y. Sugaya 129 , M. Suk 138 , V.V. Sulin 108 , M.J. Sullivan 88 , D.M.S. Sultan 52 , S. Sultansoy 4c , T. Sumida 83 , S. Sun 103 , X. Sun 3 , K. Suruliz 153 , C.J.E. Suster 154 , M.R. Sutton 153 , S. Suzuki 79 , M. Svatos 137 , M. Swiatlowski 36 , S.P. Swift 2 , A. Sydorenko 97 , I. Sykora 28a , T. Sykora 139 , D. Ta 97 , K. Tackmann 44,z , J. Taenzer 158 , A. Taffard 168 , R. Tafirout 165a , E. Tahirovic 90 , N. Taiblum 158 , H. Takai 29 , R. Takashima 84 , E.H. Takasugi 113 , K. Takeda 80 , T. Takeshita 147 , Y. Takubo 79 , M. Talby 99 , A.A. Talyshev 120b,120a , J. Tanaka 160 , M. Tanaka 162 , R. Tanaka 128 , B.B. Tannenwald 122 , S. Tapia Araya 144b , S. Tapprogge 97 , A. Tarek Abouelfadl Mohamed 132 , S. Tarem 157 , G. Tarna 27b,d , G.F. Tartarelli 66a , P. Tas 139 , M. Tasevsky 137 , T. Tashiro 83 , E. Tassi 40b,40a , A. Tavares Delgado 136a,136b , Y. Tayalati 34e , A.C. Taylor 116 , A.J. Taylor 48 , G.N. Taylor 102 , P.T.E. Taylor 102 , W. Taylor 165b , A.S. Tee 87 , P. Teixeira-Dias 91 , H. Ten Kate 35 , P.K. Teng 155 , J.J. Teoh 118 , S. Terada 79 , K. Terashi 160 , J. Terron 96 , S. Terzo 14 , M. Testa 49 , R.J. Teuscher 164,ac , S.J. Thais 180 , T. Theveneaux-Pelzer 44 , F. Thiele 39 , D.W. Thomas 91 , J.P. Thomas 21 , A.S. Thompson 55 , P.D. Thompson 21 , L.A. Thomsen 180 , E. Thomson 133 , Y. Tian 38 , R.E. Ticse Torres 51 , V.O. Tikhomirov 108,al , Yu.A. Tikhonov 120b,120a , S. Timoshenko 110 , P. Tipton 180 , S. Tisserant 99 , K. Todome 162 , S. Todorova-Nova 5 , S. Todt 46 , J. Tojo 85 , S. Tokár 28a , K. Tokushuku 79 , E. Tolley 122 , K.G. Tomiwa 32c , M. Tomoto 115 , L. Tompkins 150,p , K. Toms 116 , B. Tong 57 , P. Tornambe 50 , E. Torrence 127 , H. Torres 46 , E. Torró Pastor 145 , C. Tosciri 131 , J. Toth 99,ab , F. Touchard 99 , D.R. Tovey 146 , C.J. Treado 121 , T. Trefzger 174 , F. Tresoldi 153 , A. Tricoli 29 , I.M. Trigger 165a , S. Trincaz-Duvoid 132 , M.F. Tripiana 14 , W. Trischuk 164 , B. Trocmé 56 , A. Trofymov 128 , C. Troncon 66a , M. Trovatelli 173 , F. Trovato 153 , L. Truong 32b , M. Trzebinski 82 , A. Trzupek 82 , F. Tsai 44 , J.C-L. Tseng 131 , P.V. Tsiareshka 105 , A. Tsirigotis 159 , N. Tsirintanis 9 , V. Tsiskaridze 152 , E.G. Tskhadadze 156a , I.I. Tsukerman 109 , V. Tsulaia 18 , S. Tsuno 79 , D. Tsybychev 152,163 , Y. Tu 61b , A. Tudorache 27b , V. Tudorache 27b , T.T. Tulbure 27a , A.N. Tuna 57 , S. Turchikhin 77 , D. Turgeman 177 , I. Turk Cakir 4b,t , R. Turra 66a , P.M. Tuts 38 , E. Tzovara 97 , G. Ucchielli 23b,23a , I. Ueda 79 , M. Ughetto 43a,43b , F. Ukegawa 166 , G. Unal 35 , A. Undrus 29 , G. Unel 168 , F.C. Ungaro 102 , Y. Unno 79 , K. Uno 160 , J. Urban 28b , P. Urquijo 102 , P. Urrejola 97 , G. Usai 8 , J. Usui 79 , L. Vacavant 99 , V. Vacek 138 , B. Vachon 101 , K.O.H. Vadla 130 , A. Vaidya 92 , C. Valderanis 112 , E. Valdes Santurio 43a,43b , M. Valente 52 , S. Valentinetti 23b,23a , A. Valero 171 , L. Valéry 44 , R.A. Vallance 21 , A. Vallier 5 , J.A. Valls Ferrer 171 , T.R. Van Daalen 14 , H. Van der Graaf 118 , P. Van Gemmeren 6 , J. Van Nieuwkoop 149 , I. Van Vulpen 118 , M. Vanadia 71a,71b , W. Vandelli 35 , A. Vaniachine 163 , P. Vankov 118 , R. Vari 70a , E.W. Varnes 7 , C. Varni 53b,53a , T. Varol 41 , D. Varouchas 128 , K.E. Varvell 154 , G.A. Vasquez 144b , J.G. Vasquez 180 , F. Vazeille 37 , D. Vazquez Furelos 14 , T. Vazquez Schroeder 101 , J. Veatch 51 , V. Vecchio 72a,72b , L.M. Veloce 164 , F. Veloso 136a,136c , S. Veneziano 70a , A. Ventura 65a,65b , M. Venturi 173 , N. Venturi 35 , V. Vercesi 68a , M. Verducci 72a,72b , C.M. Vergel Infante 76 , C. Vergis 24 , W. Verkerke 118 , A.T. Vermeulen 118 , J.C. Vermeulen 118 , M.C. Vetterli 149,ar , N. Viaux Maira 144b , M. Vicente Barreto Pinto 52 , I. Vichou 170,∗ , T. Vickey 146 , O.E. Vickey Boeriu 146 , G.H.A. Viehhauser 131 , S. Viel 18 , L. Vigani 131 , M. Villa 23b,23a , M. Villaplana Perez 66a,66b , E. Vilucchi 49 , M.G. Vincter 33 , V.B. Vinogradov 77 , A. Vishwakarma 44 , C. Vittori 23b,23a , I. Vivarelli 153 , S. Vlachos 10 , M. Vogel 179 , P. Vokac 138 , G. Volpi 14 , S.E. von Buddenbrock 32c , E. Von Toerne 24 , V. Vorobel 139 , K. Vorobev 110 , M. Vos 171 , J.H. Vossebeld 88 , N. Vranjes 16 , M. Vranjes Milosavljevic 16 , V. Vrba 138 , M. Vreeswijk 118 , T. Šfiligoj 89 , R. Vuillermet 35 , I. Vukotic 36 , T. Ženiš 28a , L. Živković 16 , P. Wagner 24 , W. Wagner 179 , J. Wagner-Kuhr 112 , H. Wahlberg 86 , S. Wahrmund 46 , K. Wakamiya 80 , V.M. Walbrecht 113 , J. Walder 87 , R. Walker 112 , S.D. Walker 91 , W. Walkowiak 148 , V. Wallangen 43a,43b , A.M. Wang 57 , C. Wang 58b,d , F. Wang 178 , H. Wang 18 , H. Wang 3 , J. Wang 154 , J. Wang 59b , P. Wang 41 , Q. Wang 124 , R.-J. Wang 132 , The ATLAS Collaboration / Physics Letters B 788 (2019) 96–116 113 R. Wang 58a , R. Wang 6 , S.M. Wang 155 , W.T. Wang 58a , W. Wang 15c,ad , W.X. Wang 58a,ad , Y. Wang 58a , Z. Wang 58c , C. Wanotayaroj 44 , A. Warburton 101 , C.P. Ward 31 , D.R. Wardrope 92 , A. Washbrook 48 , P.M. Watkins 21 , A.T. Watson 21 , M.F. Watson 21 , G. Watts 145 , S. Watts 98 , B.M. Waugh 92 , A.F. Webb 11 , S. Webb 97 , C. Weber 180 , M.S. Weber 20 , S.A. Weber 33 , S.M. Weber 59a , A.R. Weidberg 131 , B. Weinert 63 , J. Weingarten 45 , M. Weirich 97 , C. Weiser 50 , P.S. Wells 35 , T. Wenaus 29 , T. Wengler 35 , S. Wenig 35 , N. Wermes 24 , M.D. Werner 76 , P. Werner 35 , M. Wessels 59a , T.D. Weston 20 , K. Whalen 127 , N.L. Whallon 145 , A.M. Wharton 87 , A.S. White 103 , A. White 8 , M.J. White 1 , R. White 144b , D. Whiteson 168 , B.W. Whitmore 87 , F.J. Wickens 141 , W. Wiedenmann 178 , M. Wielers 141 , C. Wiglesworth 39 , L.A.M. Wiik-Fuchs 50 , F. Wilk 98 , H.G. Wilkens 35 , L.J. Wilkins 91 , H.H. Williams 133 , S. Williams 31 , C. Willis 104 , S. Willocq 100 , J.A. Wilson 21 , I. Wingerter-Seez 5 , E. Winkels 153 , F. Winklmeier 127 , O.J. Winston 153 , B.T. Winter 24 , M. Wittgen 150 , M. Wobisch 93 , A. Wolf 97 , T.M.H. Wolf 118 , R. Wolff 99 , M.W. Wolter 82 , H. Wolters 136a,136c , V.W.S. Wong 172 , N.L. Woods 143 , S.D. Worm 21 , B.K. Wosiek 82 , K.W. Woźniak 82 , K. Wraight 55 , M. Wu 36 , S.L. Wu 178 , X. Wu 52 , Y. Wu 58a , T.R. Wyatt 98 , B.M. Wynne 48 , S. Xella 39 , Z. Xi 103 , L. Xia 175 , D. Xu 15a , H. Xu 58a , L. Xu 29 , T. Xu 142 , W. Xu 103 , B. Yabsley 154 , S. Yacoob 32a , K. Yajima 129 , D.P. Yallup 92 , D. Yamaguchi 162 , Y. Yamaguchi 162 , A. Yamamoto 79 , T. Yamanaka 160 , F. Yamane 80 , M. Yamatani 160 , T. Yamazaki 160 , Y. Yamazaki 80 , Z. Yan 25 , H.J. Yang 58c,58d , H.T. Yang 18 , S. Yang 75 , Y. Yang 160 , Z. Yang 17 , W-M. Yao 18 , Y.C. Yap 44 , Y. Yasu 79 , E. Yatsenko 58c,58d , J. Ye 41 , S. Ye 29 , I. Yeletskikh 77 , E. Yigitbasi 25 , E. Yildirim 97 , K. Yorita 176 , K. Yoshihara 133 , C.J.S. Young 35 , C. Young 150 , J. Yu 8 , J. Yu 76 , X. Yue 59a , S.P.Y. Yuen 24 , B. Zabinski 82 , G. Zacharis 10 , E. Zaffaroni 52 , R. Zaidan 14 , A.M. Zaitsev 140,ak , T. Zakareishvili 156b , N. Zakharchuk 33 , J. Zalieckas 17 , S. Zambito 57 , D. Zanzi 35 , D.R. Zaripovas 55 , S.V. Zeißner 45 , C. Zeitnitz 179 , G. Zemaityte 131 , J.C. Zeng 170 , Q. Zeng 150 , O. Zenin 140 , D. Zerwas 128 , M. Zgubič 131 , D.F. Zhang 58b , D. Zhang 103 , F. Zhang 178 , G. Zhang 58a , H. Zhang 15c , J. Zhang 6 , L. Zhang 15c , L. Zhang 58a , M. Zhang 170 , P. Zhang 15c , R. Zhang 58a , R. Zhang 24 , X. Zhang 58b , Y. Zhang 15d , Z. Zhang 128 , P. Zhao 47 , X. Zhao 41 , Y. Zhao 58b,128,ah , Z. Zhao 58a , A. Zhemchugov 77 , Z. Zheng 103 , D. Zhong 170 , B. Zhou 103 , C. Zhou 178 , L. Zhou 41 , M.S. Zhou 15d , M. Zhou 152 , N. Zhou 58c , Y. Zhou 7 , C.G. Zhu 58b , H.L. Zhu 58a , H. Zhu 15a , J. Zhu 103 , Y. Zhu 58a , X. Zhuang 15a , K. Zhukov 108 , V. Zhulanov 120b,120a , A. Zibell 174 , D. Zieminska 63 , N.I. Zimine 77 , S. Zimmermann 50 , Z. Zinonos 113 , M. Zinser 97 , M. Ziolkowski 148 , G. Zobernig 178 , A. Zoccoli 23b,23a , K. Zoch 51 , T.G. Zorbas 146 , R. Zou 36 , M. Zur Nedden 19 , L. Zwalinski 35 1 Department of Physics, University of Adelaide, Adelaide, Australia 2 Physics Department, SUNY Albany, Albany NY, United States of America 3 Department of Physics, University of Alberta, Edmonton AB, Canada 4 (a) Department of Physics, Ankara University, Ankara; (b) Istanbul Aydin University, Istanbul; (c) Division of Physics, TOBB University of Economics and Technology, Ankara, Turkey 5 LAPP, Université Grenoble Alpes, Université Savoie Mont Blanc, CNRS/IN2P3, Annecy, France 6 High Energy Physics Division, Argonne National Laboratory, Argonne IL, United States of America 7 Department of Physics, University of Arizona, Tucson AZ, United States of America 8 Department of Physics, University of Texas at Arlington, Arlington TX, United States of America 9 Physics Department, National and Kapodistrian University of Athens, Athens, Greece 10 Physics Department, National Technical University of Athens, Zografou, Greece 11 Department of Physics, University of Texas at Austin, Austin TX, United States of America 12 (a) Bahcesehir University, Faculty of Engineering and Natural Sciences, Istanbul; (b) Istanbul Bilgi University, Faculty of Engineering and Natural Sciences, Istanbul; (c) Department of Physics, Bogazici University, Istanbul; (d) Department of Physics Engineering, Gaziantep University, Gaziantep, Turkey 13 Institute of Physics, Azerbaijan Academy of Sciences, Baku, Azerbaijan 14 Institut de Física d’Altes Energies (IFAE), Barcelona Institute of Science and Technology, Barcelona, Spain 15 (a) Institute of High Energy Physics, Chinese Academy of Sciences, Beijing; (b) Physics Department, Tsinghua University, Beijing; (c) Department of Physics, Nanjing University, Nanjing; (d) University of Chinese Academy of Science (UCAS), Beijing, China 16 Institute of Physics, University of Belgrade, Belgrade, Serbia 17 Department for Physics and Technology, University of Bergen, Bergen, Norway 18 Physics Division, Lawrence Berkeley National Laboratory and University of California, Berkeley CA, United States of America 19 Institut für Physik, Humboldt Universität zu Berlin, Berlin, Germany 20 Albert Einstein Center for Fundamental Physics and Laboratory for High Energy Physics, University of Bern, Bern, Switzerland 21 School of Physics and Astronomy, University of Birmingham, Birmingham, United Kingdom 22 Centro de Investigaciónes, Universidad Antonio Nariño, Bogota, Colombia 23 (a) Dipartimento di Fisica e Astronomia, Università di Bologna, Bologna; (b) INFN Sezione di Bologna, Italy 24 Physikalisches Institut, Universität Bonn, Bonn, Germany 25 Department of Physics, Boston University, Boston MA, United States of America 26 Department of Physics, Brandeis University, Waltham MA, United States of America 27 (a) Transilvania University of Brasov, Brasov; (b) Horia Hulubei National Institute of Physics and Nuclear Engineering, Bucharest; (c) Department of Physics, Alexandru Ioan Cuza University of Iasi, Iasi; (d) National Institute for Research and Development of Isotopic and Molecular Technologies, Physics Department, Cluj-Napoca; (e) University Politehnica Bucharest, Bucharest; (f ) West University in Timisoara, Timisoara, Romania 28 (a) Faculty of Mathematics, Physics and Informatics, Comenius University, Bratislava; (b) Department of Subnuclear Physics, Institute of Experimental Physics of the Slovak Academy of Sciences, Kosice, Slovak Republic 29 Physics Department, Brookhaven National Laboratory, Upton NY, United States of America 114 The ATLAS Collaboration / Physics Letters B 788 (2019) 96–116 30 Departamento de Física, Universidad de Buenos Aires, Buenos Aires, Argentina 31 Cavendish Laboratory, University of Cambridge, Cambridge, United Kingdom 32 (a) Department of Physics, University of Cape Town, Cape Town; (b) Department of Mechanical Engineering Science, University of Johannesburg, Johannesburg; (c) School of Physics, University of the Witwatersrand, Johannesburg, South Africa 33 Department of Physics, Carleton University, Ottawa ON, Canada 34 (a) Faculté des Sciences Ain Chock, Réseau Universitaire de Physique des Hautes Energies – Université Hassan II, Casablanca; (b) Centre National de l’Energie des Sciences Techniques Nucleaires (CNESTEN), Rabat; (c) Faculté des Sciences Semlalia, Université Cadi Ayyad, LPHEA-Marrakech; (d) Faculté des Sciences, Université Mohamed Premier and LPTPM, Oujda; (e) Faculté des sciences, Université Mohammed V, Rabat, Morocco 35 CERN, Geneva, Switzerland 36 Enrico Fermi Institute, University of Chicago, Chicago IL, United States of America 37 LPC, Université Clermont Auvergne, CNRS/IN2P3, Clermont-Ferrand, France 38 Nevis Laboratory, Columbia University, Irvington NY, United States of America 39 Niels Bohr Institute, University of Copenhagen, Copenhagen, Denmark 40 (a) Dipartimento di Fisica, Università della Calabria, Rende; (b) INFN Gruppo Collegato di Cosenza, Laboratori Nazionali di Frascati, Italy 41 Physics Department, Southern Methodist University, Dallas TX, United States of America 42 Physics Department, University of Texas at Dallas, Richardson TX, United States of America 43 (a) Department of Physics, Stockholm University; (b) Oskar Klein Centre, Stockholm, Sweden 44 Deutsches Elektronen-Synchrotron DESY, Hamburg and Zeuthen, Germany 45 Lehrstuhl für Experimentelle Physik IV, Technische Universität Dortmund, Dortmund, Germany 46 Institut für Kern- und Teilchenphysik, Technische Universität Dresden, Dresden, Germany 47 Department of Physics, Duke University, Durham NC, United States of America 48 SUPA – School of Physics and Astronomy, University of Edinburgh, Edinburgh, United Kingdom 49 INFN e Laboratori Nazionali di Frascati, Frascati, Italy 50 Physikalisches Institut, Albert-Ludwigs-Universität Freiburg, Freiburg, Germany 51 II. Physikalisches Institut, Georg-August-Universität Göttingen, Göttingen, Germany 52 Département de Physique Nucléaire et Corpusculaire, Université de Genève, Genève, Switzerland 53 (a) Dipartimento di Fisica, Università di Genova, Genova; (b) INFN Sezione di Genova, Italy 54 II. Physikalisches Institut, Justus-Liebig-Universität Giessen, Giessen, Germany 55 SUPA – School of Physics and Astronomy, University of Glasgow, Glasgow, United Kingdom 56 LPSC, Université Grenoble Alpes, CNRS/IN2P3, Grenoble INP, Grenoble, France 57 Laboratory for Particle Physics and Cosmology, Harvard University, Cambridge MA, United States of America 58 (a) Department of Modern Physics and State Key Laboratory of Particle Detection and Electronics, University of Science and Technology of China, Hefei; (b) Institute of Frontier and Interdisciplinary Science and Key Laboratory of Particle Physics and Particle Irradiation (MOE), Shandong University, Qingdao; (c) School of Physics and Astronomy, Shanghai Jiao Tong University, KLPPAC-MoE, SKLPPC, Shanghai; (d) Tsung-Dao Lee Institute, Shanghai, China 59 (a) Kirchhoff-Institut für Physik, Ruprecht-Karls-Universität Heidelberg, Heidelberg; (b) Physikalisches Institut, Ruprecht-Karls-Universität Heidelberg, Heidelberg, Germany 60 Faculty of Applied Information Science, Hiroshima Institute of Technology, Hiroshima, Japan 61 (a) Department of Physics, Chinese University of Hong Kong, Shatin, N.T., Hong Kong; (b) Department of Physics, University of Hong Kong, Hong Kong; (c) Department of Physics and Institute for Advanced Study, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China 62 Department of Physics, National Tsing Hua University, Hsinchu, Taiwan 63 Department of Physics, Indiana University, Bloomington IN, United States of America 64 (a) INFN Gruppo Collegato di Udine, Sezione di Trieste, Udine; (b) ICTP, Trieste; (c) Dipartimento di Chimica, Fisica e Ambiente, Università di Udine, Udine, Italy 65 (a) INFN Sezione di Lecce; (b) Dipartimento di Matematica e Fisica, Università del Salento, Lecce, Italy 66 (a) INFN Sezione di Milano; (b) Dipartimento di Fisica, Università di Milano, Milano, Italy 67 (a) INFN Sezione di Napoli; (b) Dipartimento di Fisica, Università di Napoli, Napoli, Italy 68 (a) INFN Sezione di Pavia; (b) Dipartimento di Fisica, Università di Pavia, Pavia, Italy 69 (a) INFN Sezione di Pisa; (b) Dipartimento di Fisica E. Fermi, Università di Pisa, Pisa, Italy 70 (a) INFN Sezione di Roma; (b) Dipartimento di Fisica, Sapienza Università di Roma, Roma, Italy 71 (a) INFN Sezione di Roma Tor Vergata; (b) Dipartimento di Fisica, Università di Roma Tor Vergata, Roma, Italy 72 (a) INFN Sezione di Roma Tre; (b) Dipartimento di Matematica e Fisica, Università Roma Tre, Roma, Italy 73 (a) INFN-TIFPA; (b) Università degli Studi di Trento, Trento, Italy 74 Institut für Astro- und Teilchenphysik, Leopold-Franzens-Universität, Innsbruck, Austria 75 University of Iowa, Iowa City IA, United States of America 76 Department of Physics and Astronomy, Iowa State University, Ames IA, United States of America 77 Joint Institute for Nuclear Research, Dubna, Russia 78 (a) Departamento de Engenharia Elétrica, Universidade Federal de Juiz de Fora (UFJF), Juiz de Fora; (b) Universidade Federal do Rio De Janeiro COPPE/EE/IF, Rio de Janeiro; (c) Universidade Federal de São João del Rei (UFSJ), São João del Rei; (d) Instituto de Física, Universidade de São Paulo, São Paulo, Brazil 79 KEK, High Energy Accelerator Research Organization, Tsukuba, Japan 80 Graduate School of Science, Kobe University, Kobe, Japan 81 (a) AGH University of Science and Technology, Faculty of Physics and Applied Computer Science, Krakow; (b) Marian Smoluchowski Institute of Physics, Jagiellonian University, Krakow, Poland 82 Institute of Nuclear Physics Polish Academy of Sciences, Krakow, Poland 83 Faculty of Science, Kyoto University, Kyoto, Japan 84 Kyoto University of Education, Kyoto, Japan 85 Research Center for Advanced Particle Physics and Department of Physics, Kyushu University, Fukuoka, Japan 86 Instituto de Física La Plata, Universidad Nacional de La Plata and CONICET, La Plata, Argentina 87 Physics Department, Lancaster University, Lancaster, United Kingdom 88 Oliver Lodge Laboratory, University of Liverpool, Liverpool, United Kingdom 89 Department of Experimental Particle Physics, Jožef Stefan Institute and Department of Physics, University of Ljubljana, Ljubljana, Slovenia 90 School of Physics and Astronomy, Queen Mary University of London, London, United Kingdom 91 Department of Physics, Royal Holloway University of London, Egham, United Kingdom 92 Department of Physics and Astronomy, University College London, London, United Kingdom 93 Louisiana Tech University, Ruston LA, United States of America 94 Fysiska institutionen, Lunds universitet, Lund, Sweden 95 Centre de Calcul de l’Institut National de Physique Nucléaire et de Physique des Particules (IN2P3), Villeurbanne, France 96 Departamento de Física Teorica C-15 and CIAFF, Universidad Autónoma de Madrid, Madrid, Spain 97 Institut für Physik, Universität Mainz, Mainz, Germany 98 School of Physics and Astronomy, University of Manchester, Manchester, United Kingdom 99 CPPM, Aix-Marseille Université, CNRS/IN2P3, Marseille, France 100 Department of Physics, University of Massachusetts, Amherst MA, United States of America The ATLAS Collaboration / Physics Letters B 788 (2019) 96–116 115 101 Department of Physics, McGill University, Montreal QC, Canada 102 School of Physics, University of Melbourne, Victoria, Australia 103 Department of Physics, University of Michigan, Ann Arbor MI, United States of America 104 Department of Physics and Astronomy, Michigan State University, East Lansing MI, United States of America 105 B.I. Stepanov Institute of Physics, National Academy of Sciences of Belarus, Minsk, Belarus 106 Research Institute for Nuclear Problems of Byelorussian State University, Minsk, Belarus 107 Group of Particle Physics, University of Montreal, Montreal QC, Canada 108 P.N. Lebedev Physical Institute of the Russian Academy of Sciences, Moscow, Russia 109 Institute for Theoretical and Experimental Physics (ITEP), Moscow, Russia 110 National Research Nuclear University MEPhI, Moscow, Russia 111 D.V. Skobeltsyn Institute of Nuclear Physics, M.V. Lomonosov Moscow State University, Moscow, Russia 112 Fakultät für Physik, Ludwig-Maximilians-Universität München, München, Germany 113 Max-Planck-Institut für Physik (Werner-Heisenberg-Institut), München, Germany 114 Nagasaki Institute of Applied Science, Nagasaki, Japan 115 Graduate School of Science and Kobayashi-Maskawa Institute, Nagoya University, Nagoya, Japan 116 Department of Physics and Astronomy, University of New Mexico, Albuquerque NM, United States of America 117 Institute for Mathematics, Astrophysics and Particle Physics, Radboud University Nijmegen/Nikhef, Nijmegen, Netherlands 118 Nikhef National Institute for Subatomic Physics and University of Amsterdam, Amsterdam, Netherlands 119 Department of Physics, Northern Illinois University, DeKalb IL, United States of America 120 (a) Budker Institute of Nuclear Physics, SB RAS, Novosibirsk; (b) Novosibirsk State University Novosibirsk, Russia 121 Department of Physics, New York University, New York NY, United States of America 122 Ohio State University, Columbus OH, United States of America 123 Faculty of Science, Okayama University, Okayama, Japan 124 Homer L. Dodge Department of Physics and Astronomy, University of Oklahoma, Norman OK, United States of America 125 Department of Physics, Oklahoma State University, Stillwater OK, United States of America 126 Palacký University, RCPTM, Joint Laboratory of Optics, Olomouc, Czech Republic 127 Center for High Energy Physics, University of Oregon, Eugene OR, United States of America 128 LAL, Université Paris-Sud, CNRS/IN2P3, Université Paris-Saclay, Orsay, France 129 Graduate School of Science, Osaka University, Osaka, Japan 130 Department of Physics, University of Oslo, Oslo, Norway 131 Department of Physics, Oxford University, Oxford, United Kingdom 132 LPNHE, Sorbonne Université, Paris Diderot Sorbonne Paris Cité, CNRS/IN2P3, Paris, France 133 Department of Physics, University of Pennsylvania, Philadelphia PA, United States of America 134 Konstantinov Nuclear Physics Institute of National Research Centre “Kurchatov Institute”, PNPI, St. Petersburg, Russia 135 Department of Physics and Astronomy, University of Pittsburgh, Pittsburgh PA, United States of America 136 (a) Laboratório de Instrumentação e Física Experimental de Partículas – LIP; (b) Departamento de Física, Faculdade de Ciências, Universidade de Lisboa, Lisboa; (c) Departamento de Física, Universidade de Coimbra, Coimbra; (d) Centro de Física Nuclear da Universidade de Lisboa, Lisboa; (e) Departamento de Física, Universidade do Minho, Braga; (f ) Departamento de Física Teorica y del Cosmos, Universidad de Granada, Granada (Spain); (g) Dep Física and CEFITEC of Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, Caparica, Portugal 137 Institute of Physics, Academy of Sciences of the Czech Republic, Prague, Czech Republic 138 Czech Technical University in Prague, Prague, Czech Republic 139 Charles University, Faculty of Mathematics and Physics, Prague, Czech Republic 140 State Research Center Institute for High Energy Physics, NRC KI, Protvino, Russia 141 Particle Physics Department, Rutherford Appleton Laboratory, Didcot, United Kingdom 142 IRFU, CEA, Université Paris-Saclay, Gif-sur-Yvette, France 143 Santa Cruz Institute for Particle Physics, University of California Santa Cruz, Santa Cruz CA, United States of America 144 (a) Departamento de Física, Pontificia Universidad Católica de Chile, Santiago; (b) Departamento de Física, Universidad Técnica Federico Santa María, Valparaíso, Chile 145 Department of Physics, University of Washington, Seattle WA, United States of America 146 Department of Physics and Astronomy, University of Sheffield, Sheffield, United Kingdom 147 Department of Physics, Shinshu University, Nagano, Japan 148 Department Physik, Universität Siegen, Siegen, Germany 149 Department of Physics, Simon Fraser University, Burnaby BC, Canada 150 SLAC National Accelerator Laboratory, Stanford CA, United States of America 151 Physics Department, Royal Institute of Technology, Stockholm, Sweden 152 Departments of Physics and Astronomy, Stony Brook University, Stony Brook NY, United States of America 153 Department of Physics and Astronomy, University of Sussex, Brighton, United Kingdom 154 School of Physics, University of Sydney, Sydney, Australia 155 Institute of Physics, Academia Sinica, Taipei, Taiwan 156 (a) E. Andronikashvili Institute of Physics, Iv. Javakhishvili Tbilisi State University, Tbilisi; (b) High Energy Physics Institute, Tbilisi State University, Tbilisi, Georgia 157 Department of Physics, Technion, Israel Institute of Technology, Haifa, Israel 158 Raymond and Beverly Sackler School of Physics and Astronomy, Tel Aviv University, Tel Aviv, Israel 159 Department of Physics, Aristotle University of Thessaloniki, Thessaloniki, Greece 160 International Center for Elementary Particle Physics and Department of Physics, University of Tokyo, Tokyo, Japan 161 Graduate School of Science and Technology, Tokyo Metropolitan University, Tokyo, Japan 162 Department of Physics, Tokyo Institute of Technology, Tokyo, Japan 163 Tomsk State University, Tomsk, Russia 164 Department of Physics, University of Toronto, Toronto ON, Canada 165 (a) TRIUMF, Vancouver BC; (b) Department of Physics and Astronomy, York University, Toronto ON, Canada 166 Division of Physics and Tomonaga Center for the History of the Universe, Faculty of Pure and Applied Sciences, University of Tsukuba, Tsukuba, Japan 167 Department of Physics and Astronomy, Tufts University, Medford MA, United States of America 168 Department of Physics and Astronomy, University of California Irvine, Irvine CA, United States of America 169 Department of Physics and Astronomy, University of Uppsala, Uppsala, Sweden 170 Department of Physics, University of Illinois, Urbana IL, United States of America 171 Instituto de Física Corpuscular (IFIC), Centro Mixto Universidad de Valencia – CSIC, Valencia, Spain 172 Department of Physics, University of British Columbia, Vancouver BC, Canada 173 Department of Physics and Astronomy, University of Victoria, Victoria BC, Canada 174 Fakultät für Physik und Astronomie, Julius-Maximilians-Universität Würzburg, Würzburg, Germany 175 Department of Physics, University of Warwick, Coventry, United Kingdom 176 Waseda University, Tokyo, Japan 177 Department of Particle Physics, Weizmann Institute of Science, Rehovot, Israel 116 The ATLAS Collaboration / Physics Letters B 788 (2019) 96–116 178 Department of Physics, University of Wisconsin, Madison WI, United States of America 179 Fakultät für Mathematik und Naturwissenschaften, Fachgruppe Physik, Bergische Universität Wuppertal, Wuppertal, Germany 180 Department of Physics, Yale University, New Haven CT, United States of America 181 Yerevan Physics Institute, Yerevan, Armenia a Also at Borough of Manhattan Community College, City University of New York, NY; United States of America. b Also at Centre for High Performance Computing, CSIR Campus, Rosebank, Cape Town; South Africa. c Also at CERN, Geneva; Switzerland. d Also at CPPM, Aix-Marseille Université, CNRS/IN2P3, Marseille; France. e Also at Département de Physique Nucléaire et Corpusculaire, Université de Genève, Genève; Switzerland. f Also at Departament de Fisica de la Universitat Autonoma de Barcelona, Barcelona; Spain. g Also at Departamento de Física Teorica y del Cosmos, Universidad de Granada, Granada (Spain); Spain. h Also at Department of Applied Physics and Astronomy, University of Sharjah, Sharjah; United Arab Emirates. i Also at Department of Financial and Management Engineering, University of the Aegean, Chios; Greece. j Also at Department of Physics and Astronomy, University of Louisville, Louisville, KY; United States of America. k Also at Department of Physics and Astronomy, University of Sheffield, Sheffield; United Kingdom. l Also at Department of Physics, California State University, Fresno CA; United States of America. m Also at Department of Physics, California State University, Sacramento CA; United States of America. n Also at Department of Physics, King’s College London, London; United Kingdom. o Also at Department of Physics, St. Petersburg State Polytechnical University, St. Petersburg; Russia. p Also at Department of Physics, Stanford University; United States of America. q Also at Department of Physics, University of Fribourg, Fribourg; Switzerland. r Also at Department of Physics, University of Michigan, Ann Arbor MI; United States of America. s Also at Dipartimento di Fisica E. Fermi, Università di Pisa, Pisa; Italy. t Also at Giresun University, Faculty of Engineering, Giresun; Turkey. u Also at Graduate School of Science, Osaka University, Osaka; Japan. v Also at Hellenic Open University, Patras; Greece. w Also at Horia Hulubei National Institute of Physics and Nuclear Engineering, Bucharest; Romania. x Also at II. Physikalisches Institut, Georg-August-Universität Göttingen, Göttingen; Germany. y Also at Institucio Catalana de Recerca i Estudis Avancats, ICREA, Barcelona; Spain. z Also at Institut für Experimentalphysik, Universität Hamburg, Hamburg; Germany. aa Also at Institute for Mathematics, Astrophysics and Particle Physics, Radboud University Nijmegen/Nikhef, Nijmegen; Netherlands. ab Also at Institute for Particle and Nuclear Physics, Wigner Research Centre for Physics, Budapest; Hungary. ac Also at Institute of Particle Physics (IPP); Canada. ad Also at Institute of Physics, Academia Sinica, Taipei; Taiwan. ae Also at Institute of Physics, Azerbaijan Academy of Sciences, Baku; Azerbaijan. af Also at Institute of Theoretical Physics, Ilia State University, Tbilisi; Georgia. ag Also at Istanbul University, Dept. of Physics, Istanbul; Turkey. ah Also at LAL, Université Paris-Sud, CNRS/IN2P3, Université Paris-Saclay, Orsay; France. ai Also at Louisiana Tech University, Ruston LA; United States of America. aj Also at Manhattan College, New York NY; United States of America. ak Also at Moscow Institute of Physics and Technology State University, Dolgoprudny; Russia. al Also at National Research Nuclear University MEPhI, Moscow; Russia. am Also at Physikalisches Institut, Albert-Ludwigs-Universität Freiburg, Freiburg; Germany. an Also at School of Physics, Sun Yat-sen University, Guangzhou; China. ao Also at The City College of New York, New York NY; United States of America. ap Also at The Collaborative Innovation Center of Quantum Matter (CICQM), Beijing; China. aq Also at Tomsk State University, Tomsk, and Moscow Institute of Physics and Technology State University, Dolgoprudny; Russia. ar Also at TRIUMF, Vancouver BC; Canada. as Also at Universita di Napoli Parthenope, Napoli; Italy. ∗ Deceased.