B2G-20-013

B2G-20-013

# Search for heavy resonances decaying to $\PZ\PZ$ or $\PZ\PW$ and axion-like
particles mediating nonresonant $\PZ\PZ$ or $\PZ\PH$ production at
$\sqrt{s}=13\TeV$

###### Abstract

A search has been performed for heavy resonances decaying to $\PZ\PZ$ or
$\PZ\PW$ and for axion-like particles (ALPs) mediating nonresonant $\PZ\PZ$ or
$\PZ\PH$ production, in final states with two charged leptons
($\Pell=\Pe,\Pgm$) produced by the decay of a boson, and two quarks produced
by the decay of a , , or Higgs boson . The analysis is sensitive to resonances
with masses in the range 450 to 1800. Two categories are defined corresponding
to the merged or resolved reconstruction of the hadronically decaying boson.
The search is based on data collected during 2016–2018 by the CMS experiment
at the LHC in proton-proton collisions at a center-of-mass energy of 13,
corresponding to an integrated luminosity of 138. No significant excess is
observed in the data above the standard model background expectation. Upper
limits on the production cross section of heavy, narrow spin-2 and spin-1
resonances are derived as functions of the resonance mass, and exclusion
limits on the production of bulk graviton particles and bosons are calculated
in the framework of the warped extra dimensions and heavy vector triplet
models, respectively. In addition, upper limits on the ALP-mediated diboson
production cross section and ALP couplings to standard model particles are
obtained in the framework of linear and chiral effective field theories. These
are the first limits on nonresonant ALP-mediated $\PZ\PZ$ and $\PZ\PH$
production obtained by the LHC experiments.

##  0.1 Introduction

Several extensions of the standard model (SM) predict the existence of new
particles with large couplings to a pair of bosons, either Higgs bosons or
electroweak vector bosons $\PV=\PW,\PZ$. One possibility is the
Randall–Sundrum model with warped extra spatial dimensions (WED) [1, 2, 3],
which predicts heavy spin-2 gravitons (). Another example is the spin-1 heavy
vector triplet (HVT) model [4], which postulates the existence of and bosons.

Diboson signatures can also be used to search for axion-like particles (ALPs)
[5, 6], designated in this paper by “a”. These are neutral pseudoscalar bosons
with derivative interactions with SM particles, and often appear in extensions
of the SM. Colliders allow for searches in a wide range of ALP masses and
couplings [7, 8, 9]. An interesting diboson production mechanism is
nonresonant ALP-mediated scattering; the ALP is an off-shell mediator in the
$s$-channel $2\to 2$ scattering processes [9]. Figure 1 shows the Feynman
diagrams for the processes $\Pg\Pg\to{\HepParticle{a}{}{\ast}}\to\PZ\PZ$
(left) and $\Pg\Pg\to{\HepParticle{a}{}{\ast}}\to\PZ\PH$ (right), where a∗ is
an off-shell ALP. These channels are sensitive to the product of the ALP
coupling to gluons and the relevant couplings to dibosons. These channels have
been identified as promising because the cross sections are sufficiently large
to enable strong constraints to be placed on the theoretical models using the
2016–2018 LHC data set. The derivative interactions enhance the cross section
at large diboson invariant masses, $\sqrt{\hat{s}}$. In the ALP off-shell
regime $\sqrt{\hat{s}}\gg m_{\HepParticle{a}{}{}},m_{\PZ}$, where
$m_{\HepParticle{a}{}{}}$ is the ALP mass, the partonic cross section for
$\Pg\Pg\to{\HepParticle{a}{}{\ast}}\to\PZ\PZ$ varies as
$\hat{s}/f^{4}_{\HepParticle{a}{}{}}$, where $f_{\HepParticle{a}{}{}}$ is the
energy scale characterizing the new physics. The same type of energy behavior
holds for $\Pg\Pg\to{\HepParticle{a}{}{\ast}}\to\PZ\PH$. Such energy
dependence is only valid as long as the energies probed in the scattering
process are smaller than $f_{\HepParticle{a}{}{}}$. Factoring in the parton
distribution functions (PDFs) of the proton, which tame the energy growth, the
differential cross sections for the ALP-mediated processes
$\Pp\Pp\to\PZ\PZ,\PZ\PH$ diminish more slowly as a function of
$\sqrt{\hat{s}}$ than for the SM backgrounds. The nonresonant cross sections
and kinematical distributions are found to be independent of the ALP mass from
arbitrarily light masses up to masses of the order of 100. The strategy of the
search is to look for deviations with respect to the SM expectations in the
tails of the experimental diboson mass distributions.

Figure 1: Feynman diagrams for the processes $\Pg\Pg\to\PZ\PZ$ (left) and
$\Pg\Pg\to\PZ\PH$ (right) via an off-shell ALP a∗ in the $s$ channel.

This paper reports on the results of a search for spin-2 gravitons decaying to
$\PZ\PZ$, spin-1 bosons decaying to $\PZ\PW$, and nonresonant ALP-mediated
$\PZ\PZ$ or $\PZ\PH$ production, in final states with two charged leptons
($\Pell=\Pe,\Pgm$) produced by the decay of a boson, and two quarks produced
by the decay of a , , or Higgs boson. These two quarks can be reconstructed as
one single “merged” jet in hadronic decays of a Lorentz-boosted boson, or as
two individually resolved jets. The analysis is sensitive to resonances with
masses in the range from 450 to 1800. The width of the heavy resonance is
taken to be small in comparison to the experimental resolution [10]. This is
the first time a search for the effects of nonresonant ALP-mediated $\PZ\PZ$
or $\PZ\PH$ production has been performed at the CERN LHC. The search analyzes
data collected from 2016 to 2018 by the CMS experiment at $\sqrt{s}=13\TeV$.

Previous searches in similar final states for heavy resonances decaying to two
SM bosons at the LHC [11, 12, 13, 14, 15] have found no evidence of a signal,
providing stringent upper limits on the corresponding production cross
sections. Limits on ALP couplings derived from reinterpretations of ATLAS
measurements can be found in Ref. [16].

This paper is organized as follows: in Section 0.2, a description of the
signal models, simulated background, and data samples used in the analysis is
provided; Section 0.3 briefly describes the CMS detector; Section 0.4 provides
a description of the event reconstruction; in Section 0.5, the event selection
is discussed; Section 0.6 describes the estimation of the SM background; the
systematic uncertainties affecting the analysis are presented in Section 0.7;
and the results of the search for heavy spin-2 and spin-1 resonances and ALP-
mediated diboson production are presented in Section 0.8. Finally, the results
are summarized in Section 0.9.

Tabulated results are provided in the HEPData record for this analysis [17].

##  0.2 Data and simulated samples

This analysis uses data collected with the CMS detector during proton-proton
($\Pp\Pp$) collisions at the LHC at $\sqrt{s}=13\TeV$, corresponding to an
integrated luminosity of 138. The events were selected online by criteria that
require the presence of at least one electron or muon; these criteria are
described in Section 0.5.

Simulated signal samples are used in the analysis to optimize the search for
production of heavy spin-2 and spin-1 resonances, and ALP-mediated $\PZ\PZ$
and $\PZ\PH$ production. Spin-2 and spin-1 resonant signal samples are
generated according to the WED and HVT scenarios, respectively.

In the WED scenario [18, 19], the main free parameters are the mass of the
first Kaluza–Klein graviton excitation (the bulk graviton mass) and the ratio
$\widetilde{\kappa}=\kappa/\overline{M}_{\text{Pl}}$, where $\kappa$ is a
curvature parameter of the WED metric and $\overline{M}_{\text{Pl}}$ is the
reduced Planck mass. The coupling of the bulk graviton to vector bosons is
determined by $\widetilde{\kappa}$. Bulk graviton production cross sections,
widths, and branching fractions are taken from Ref. [20].

The HVT model [4] introduces a spin-1 triplet of and bosons. The HVT model
generalizes a large number of explicit cases in terms of three parameters:
$c_{\PH}$ determines the coupling to SM vector and Higgs bosons;
$c_{\text{F}}$ determines the coupling to fermions; and $g_{\PV}$ is the
overall strength of the new vector boson triplet interactions. Benchmark
“Model A”, with $g_{\PV}=1$, is representative of a model of weakly coupled
vector resonances in an extension of the SM gauge group where the HVT bosons
have comparable decay branching fractions into SM fermions and vector bosons.
Benchmark “Model B”, with $g_{\PV}=3$, is representative of a composite model
scenario where the HVT boson couplings to fermions are suppressed. The boson
production cross sections, widths, and branching fractions are taken from Ref.
[4].

For both scenarios, the samples are generated at leading order (LO) in quantum
chromodynamics (QCD) with the generator [21] versions 2.2.2 (2016) and 2.6.5
(2017 and 2018). Different resonance mass hypotheses are considered in the
range 450 to 1800. Since the resonance width is small in comparison with the
experimental resolution, for simplicity, the width is taken to be 1in the
simulation (the narrow-width approximation). The generated spin-2 bulk
graviton is forced to decay into two bosons, one decaying leptonically into
any pair of charged leptons, and the other decaying hadronically into a pair
of quarks. In the case of the spin-1 boson, the resonance is forced to decay
into one and one boson; additionally, the boson is then forced to decay to a
pair of electrons, muons, or tau leptons, while the boson is forced to decay
into a pair of quarks.

The ALP interactions can be parameterized using the model-independent approach
of effective field theories (EFTs). There are two EFT implementations: linear
(related to weakly coupled new physics models, with a minimal set of
parameters) [22, 23] and chiral (related to strongly coupled new physics
models, with more parameters) [24, 25, 26, 27]. The ALP couplings to SM
particles are proportional to a coefficient $c$ and inversely proportional to
the new physics energy scale $f_{\HepParticle{a}{}{}}$. Here, we adopt the
definitions of Refs. [7, 9]. Classical searches for ALPs at colliders consider
their couplings to photons and gluons. The coefficient of the gluon coupling
is $c_{\PXXSG}$. More recently, interest has extended to consider ALP
couplings to electroweak bosons: $\PZ\PZ$, $\PW\PW$, and $\PZ\gamma$ [7]. At
LO in the linear model, all these and the coupling to photons are related by
gauge symmetry to two basic electroweak couplings: $c_{\PSW}$ and
$c_{\HepSusyParticle{B}{}{}}$. The coupling of the ALP to $\PZ\PZ$ is
$c_{\PSZ}=c_{\PSW}\ c^{2}_{w}+c_{\HepSusyParticle{B}{}{}}\ s^{2}_{w}$, where
$c_{w}$ and $s_{w}$ denote the cosine and sine of the Weinberg angle,
respectively. In this analysis, small couplings of the ALP to fermions are set
to zero. In the chiral model, the ALP still couples to gluons with coupling
$c_{\PXXSG}$. Additionally, the ALP couples to $\PZ\PH$, and there are several
coefficients contributing to the $\PZ\PH$ vertex [7]. For simplicity, in this
chiral analysis, the ALP to $\PZ\PH$ coupling coefficient
$\widetilde{a}_{\text{2D}}$ is studied; small couplings of the ALP to fermions
are neglected and the $\PZ\PZ$ channel is considered closed. In both the
linear and chiral implementations, interference between the SM and ALP-
mediated processes is neglected.

Simulated signals of ALP-mediated production are generated with 2.6.5 using
both the linear and chiral EFT models [7]. In the linear model,
$\Pg\Pg\to{\HepParticle{a}{}{\ast}}\to\PZ\PZ$ events are generated at LO with
$c_{\PXXSG}/f_{\HepParticle{a}{}{}}=c_{\PSZ}/f_{\HepParticle{a}{}{}}=1\TeV^{-1}$
and an ALP mass of 1. The cross sections are 77 (92, 94, 95)pb for
$\sqrt{\hat{s}}<f_{\HepParticle{a}{}{}}=1$ (2, 3, 7), respectively. One boson
is forced to decay leptonically and the other hadronically. In the chiral
model, $\Pg\Pg\to{\HepParticle{a}{}{\ast}}\to\PZ\PH$ events are generated at
LO with
$c_{\PXXSG}/f_{\HepParticle{a}{}{}}=\widetilde{a}_{\text{2D}}/f_{\HepParticle{a}{}{}}=1\TeV^{-1}$
and an ALP mass of 1; all other chiral coefficients are set to zero. The cross
sections are 63 (78, 80, 81)pb for $\sqrt{\hat{s}}<f_{\HepParticle{a}{}{}}=1$
(2, 3, 7), respectively. The boson is forced to decay leptonically; the Higgs
boson is decayed according to the branching fractions predicted in the SM. In
both cases, there is a 7% systematic uncertainty in the size of the cross
sections related to the renormalization and factorization scales, and a 1.2%
systematic uncertainty related to the PDFs.

Several SM processes yielding final states with charged leptons and jets are
sources of background events for the analysis, and corresponding Monte Carlo
simulated samples have been generated to study them.

The SM production of a boson in association with quarks or gluons in the final
state ($\PZ+\text{jets}$) represents the dominant background process for the
analysis, having topological similarities to the signal because of the
presence of a pair of charged leptons and jets. However, since the quark- and
gluon-induced jets are not associated with the decay of a vector boson, the
merged-jet and dijet mass spectra are characterized by smooth distributions,
and the distribution of the $2\Pell 2\PQq$ system invariant mass falls
exponentially. In contrast, the signals are expected to have peaking
distributions in the merged-jet and dijet mass spectra, and a distinctive
$2\Pell 2\PQq$ mass distribution. The simulated $\PZ+\text{jets}$ samples are
produced with at next to LO (NLO) for 2016 samples, and LO for 2017 and 2018
samples. Both LO and NLO sample events are reweighted to account for
electroweak NLO corrections, with the LO events also reweighted for QCD NLO
corrections [28].

The SM diboson production of $\PZ\PV$ and $\PZ\PH$ is an irreducible source of
background for the analysis, since the merged-jet and dijet mass spectra will
contain a peak from the hadronic decay of , , and bosons; however, this
process produces a smoothly falling $2\Pell 2\PQq$ invariant mass
distribution. The SM production of pairs of bosons ($\PZ\PZ$, $\PZ\PW$, and
$\PZ\PH$) is simulated at NLO with .

The parton showering and hadronization is simulated by interfacing the event
generators with 8.226 [29] with the CUETP8M1 [30] tune for 2016 resonant
samples and backgrounds, and 8.230 with the CP5 [31] tune for 2017 and 2018
resonant samples and backgrounds. The CUETP8M1 tune is used with 8.230 for all
ALP simulated samples. The PDFs of the colliding protons are given by the
NNPDF 3.0 [32] PDF set for 2016 resonant samples and backgrounds, and the
NNPDF 3.1 [33] set for 2017 and 2018 resonant samples and backgrounds, as well
as all ALP simulated samples. Additional $\Pp\Pp$ interactions occurring in
the same or nearby bunch crossings (pileup) are added to the event simulation,
with a frequency distribution adjusted to match that observed in data. All
samples are processed through a simulation of the CMS detector using [34] and
reconstructed using the same algorithms as those for analysis of the data.

##  0.3 The CMS detector

The central feature of the CMS apparatus is a superconducting solenoid of 6m
internal diameter, providing a magnetic field of 3.8T. Within the solenoid
volume are a silicon pixel and strip tracker, a lead tungstate crystal
electromagnetic calorimeter (ECAL), and a brass and scintillator hadron
calorimeter (HCAL), each composed of a barrel and two endcap sections. Forward
calorimeters extend the pseudorapidity $\eta$ coverage provided by the barrel
and endcap detectors. Muons are measured in gaseous detectors embedded in the
steel flux-return yoke outside the solenoid.

Events of interest are selected using a two-tiered trigger system. The first
level, composed of custom hardware processors, uses information from the
calorimeters and muon detectors to select events at a rate of around 100kHz
within a fixed latency of about 4 [35]. The second level, known as the high-
level trigger, consists of a farm of processors running a version of the full
event reconstruction software optimized for fast processing, and reduces the
event rate to around 1kHz before data storage [36].

A more detailed description of the CMS detector, together with a definition of
the coordinate system used and the relevant kinematic variables, can be found
in Ref. [37].

##  0.4 Event reconstruction

The particle-flow (PF) algorithm [38] aims to reconstruct and identify each
individual particle in an event, with an optimized combination of information
from the various elements of the CMS detector. The energy of photons is
obtained from the ECAL measurement. The energy of electrons is determined from
a combination of the electron momentum at the primary interaction vertex as
determined by the tracker, the energy of the corresponding ECAL cluster, and
the energy sum of all bremsstrahlung photons spatially compatible with
originating from the electron track. The energy of muons is obtained from the
curvature of the corresponding track. The energy of charged hadrons is
determined from a combination of their momentum measured in the tracker and
the matching ECAL and HCAL energy deposits, corrected for the response
function of the calorimeters to hadronic showers. Finally, the energy of
neutral hadrons is obtained from the corresponding corrected ECAL and HCAL
energies.

The candidate vertex with the largest value of summed physics-object
$\pt^{2}$, where is the transverse momentum, is taken to be the primary
$\Pp\Pp$ interaction vertex. The physics objects are the jets, clustered using
the jet finding algorithm [39, 40] with the tracks assigned to candidate
vertices as inputs, and the associated missing , taken as the negative vector
sum of the of those jets.

The silicon tracker used in 2016 measured charged particles within the range
$\abs{\eta}<2.5$. For nonisolated particles of $1<\pt<10\GeV$ and
$\abs{\eta}<1.4$, the track resolutions are typically 1.5% in and 25–90
(45–150)in the transverse (longitudinal) impact parameter [41]. At the start
of 2017, the tracker was upgraded [42] to measure up to $\abs{\eta}<3.0$; the
resolutions of the upgraded tracker were typically 1.5% in and 20–75in the
transverse impact parameter [43] for nonisolated particles of $1<\pt<10\GeV$
and $\abs{\eta}<3.0$.

The electron momentum is estimated by combining the energy measurement in the
ECAL with the momentum measurement in the tracker. The momentum resolution for
electrons with $\pt\approx 45\GeV$ from $\PZ\to\Pe\Pe$ decays ranges from 1.7
to 4.5%. It is generally better in the barrel region than in the endcaps, and
also depends on the bremsstrahlung energy emitted by the electron as it
traverses the material in front of the ECAL [44].

Muons are measured in the range $\abs{\eta}<2.4$, with detection planes made
using three technologies: drift tubes, cathode strip chambers, and resistive-
plate chambers. The single-muon trigger efficiency exceeds 90% over the full
$\eta$ range, and the efficiency to reconstruct and identify muons is greater
than 96%. Matching muons to tracks measured in the silicon tracker results in
a relative resolution, for muons with up to 100, of 1% in the barrel and 3% in
the endcaps, and of better than 7% for muons in the barrel with up to 1 [45].

Both electrons and muons are required to be isolated from hadronic activity
and other leptons in the event. An isolation variable is defined as the scalar
sum of the of charged hadrons originating from the primary vertex, plus the
scalar sums of the for neutral hadrons and photons, in a cone of $\Delta
R=\sqrt{\smash[b]{(\Delta\eta)^{2}+(\Delta\phi)^{2}}}<0.3\,(0.4)$ around the
electron (muon) direction, where $\phi$ is the azimuthal angle, corrected to
account for the contribution from neutral candidates originating from pileup
[44, 45].

Hadronic jets are clustered from particles reconstructed by the PF algorithm
using the infrared- and collinear-safe anti-algorithm [39, 40] with distance
parameters of 0.4 (AK4 jets) and 0.8 (AK8 jets). The jet momentum is
determined as the vectorial sum of all particle momenta in the jet, and is
found from simulation to be, on average, within 5–10% of the true momentum
over the entire spectrum and detector acceptance. For AK4 jets, contamination
from pileup is suppressed using charged-hadron subtraction, which removes from
the list of PF candidates all charged particles originating from vertices
other than the primary interaction vertex of the event. The residual
contribution from neutral particles originating from pileup vertices is
removed by means of an event-by-event jet-area-based correction to the jet
four-momentum [46]. For AK8 jets, the pileup per particle identification
algorithm (PUPPI) [47] is used to mitigate the effect of pileup at the
reconstructed particle level, making use of local shape information, event
pileup properties, and tracking information.

Jet energy corrections are derived from simulation studies so that the average
measured energy of jets becomes identical to that of particle-level jets. In
situ measurements of the momentum balance in dijet,
$\text{photon}+\text{jet}$, $\PZ+\text{jet}$, and multijet events are used to
determine any residual differences between the jet energy scale in data and in
simulation, and appropriate corrections are made [10]. Additional selection
criteria are applied to each jet to remove jets potentially dominated by
instrumental effects or reconstruction failures [48].

A jet grooming technique is used for AK8 jets in this analysis to help
identify and discriminate between merged jets from hadronic decays of boosted
and Higgs bosons, and jets from quarks and gluons. The AK8 jets are groomed by
means of the modified mass drop tagger algorithm [49], also known as the soft-
drop algorithm, with angular exponent $\beta=0$, soft cutoff threshold
$z_{\text{cut}}<0.1$, and characteristic radius $R_{0}=0.8$ [50]. The soft-
drop algorithm does not fully reject contributions from the underlying event
and pileup. The mass of the AK8 jet ($m_{\mathrm{J}}$) is therefore defined as
the invariant mass associated to the four-momentum of the soft-drop jet, after
the PUPPI corrections are applied.

Discrimination between AK8 jets originating from vector boson decays and those
originating from gluons and quarks is further improved by the $N$-subjettiness
jet substructure variable [51]. This observable exploits the distribution of
the jet constituents found in the proximity of the subjet axes to determine if
the jet can be effectively subdivided into a number $N$ of subjets. The
generic $N$-subjettiness variable $\tau_{N}$ is defined as the -weighted sum
of the angular distance of all the $k$ jet constituents from the closest
subjet:

$\tau_{N}=\frac{1}{d_{0}}\sum_{k}p_{\mathrm{T},k}\min(\Delta R_{1,k},\Delta
R_{2,k},\dots,\Delta R_{N,k}).$ (1)

The normalization factor $d_{0}$ is defined as
$d_{0}=\sum_{k}p_{\mathrm{T},k}R_{\text{j}}$, with $R_{\text{j}}$ the
clustering parameter of the original jet. In this analysis, which aims to
select $\PV\to\PQq\PQq$ decays, the variable that best discriminates between
boson jets and those from quarks and gluons is the ratio of the 2-subjettiness
to 1-subjettiness: $\tau_{21}=\tau_{2}/\tau_{1}$. The $\tau_{21}$ observable
is calculated for the jet before the grooming procedure, and includes the
PUPPI algorithm corrections for pileup mitigation.

For the identification of jets originating from the hadronization of bottom
quarks, the deep neural network-based combined secondary vertex (DeepCSV)
algorithm [52] is used, either directly on the AK4 jets or on the AK8 soft-
drop subjets with PUPPI pileup mitigation applied. A DeepCSV loose (medium)
tag corresponds to a $\approx$84 ($\approx$68)% efficiency for quark
identification and a $\approx$10 ($\approx$1)% light-flavor or gluon jet
mistag rate.

Jets are required to be separated from isolated leptons by $\DR>0.8\,(0.4)$
for AK8 (AK4) jets. Only those AK4 and AK8 jets passing the tight jet
identification requirements [48], and reconstructed in the central region of
the detector ($\abs{\eta}<2.4$), are considered in the analysis.

##  0.5 Event selection

In the online selection, events must satisfy either a single-electron or a
single-muon trigger. The electron trigger requires either an electron with
$\pt>27\,(32)\GeV$ and $\abs{\eta}<2.4$ in the 2016 (2017 and 2018) data
sample, passing tight identification and isolation requirements, or an
electron with $\pt>115\GeV$ and $\abs{\eta}<2.4$ with no isolation
requirements. The muon trigger requires a muon with $\pt>24\,(27)\GeV$ and
$\abs{\eta}<2.4$ in 2016 and 2018 (2017), passing loose identification and
isolation requirements.

In the offline selection, two well-identified leptons are first required. The
leading and subleading leptons are required to have $\pt>40\GeV$ in the range
$\abs{\eta}<2.4$. Electrons (muons) must satisfy tight identification and
tight (loose) isolation requirements. Reconstruction, identification, and
isolation efficiencies for leptons and their uncertainties are evaluated from
dedicated data samples of leptonic boson decays, where one lepton from the
decay serves as a tag and the efficiency for the other lepton is measured
[53]. A leptonic candidate is defined as a pair of leptons with the same
flavor, opposite charges, and invariant mass $76<m_{\Pell\Pell}<106\GeV$.

Depending on the boson in $\PV\to\qqbar$ and $\PH\to\qqbar$ decays, the decay
products may either be reconstructed as a single AK8 merged jet (boosted
category) or as a pair of AK4 jets (resolved category). In the following,
${\mathrm{j}}$ refers to AK4 jets and ${\mathrm{J}}$ refers to AK8 jets.

In the boosted selection, events must have a leptonic candidate with
$\pt(\Pell\Pell)>200\GeV$ and one AK8 jet with $\pt({\mathrm{J}})>200\GeV$ and
soft-drop mass $m_{\mathrm{J}}>30\GeV$. If several AK8 jets in the event
satisfy the requirements, the one with the highest is considered. Boosted
hadronic and candidates are first defined by $\tau_{21}<0.40\,(0.45)$ in 2016
(2017 and 2018), and then by the soft-drop mass signal regions
$65<m_{\mathrm{J}}<105\GeV$ (SR1) and $95<m_{\mathrm{J}}<135\GeV$ (SR2),
respectively. Figure 2 shows the $\tau_{21}$ and merged $\pt({\mathrm{J}})$
distributions for boosted hadronic and candidates. In addition, boosted
hadronic sideband (SB) candidates are defined by the $\tau_{21}$ requirement
and the soft-drop mass regions $30<m_{\mathrm{J}}<65\GeV$ and
$135<m_{\mathrm{J}}<300\GeV$.

Figure 2: Distributions of the merged jet $\tau_{21}$ (left) and after
applying the $\tau_{21}$ selection (right) for boosted hadronic (upper) and
(lower) candidates. The gray band shows the statistical and systematic
uncertainties in the background. The background for the $\tau_{21}$
distributions is normalized to the number of events in the data; the
background normalization for the jet distributions is derived from the final
fit to the data. The red dashed histograms correspond to a hypothetical linear
(chiral) ALP with $1\TeV^{-1}$ couplings to gluons and $\PZ\PZ$ ($\PZ\PH$),
and $f_{\HepParticle{a}{}{}}=3\TeV$; the cross sections have been multiplied
by the factors indicated in the legends for better visibility. The lower
panels show the ratio of data to background.

In the resolved selection, boosted events are vetoed; events must have a
leptonic candidate with $\pt(\Pell\Pell)>150\GeV$ and an AK4 dijet system with
$\pt({\mathrm{j}})>30\GeV$, $\pt({\mathrm{j}}{\mathrm{j}})>150\GeV$,
$m_{\mathrm{jj}}>30\GeV$, and $\DR({\mathrm{j}}{\mathrm{j}})<1.5$. In events
with more than two AK4 jets, the best dijet combination is chosen based on the
following criteria: the dijet in the highest tag category is first selected;
if more than one dijet combination remains, the pair closest in mass to the
target signal boson is chosen. Resolved hadronic and candidates are defined by
the dijet mass signal regions $65<m_{\mathrm{jj}}<110\GeV$ (SR1) and
$95<m_{\mathrm{jj}}<135\GeV$ (SR2), respectively. In addition, resolved
hadronic SB candidates are defined by the dijet mass regions
$30<m_{\mathrm{jj}}<65\GeV$ and $135<m_{\mathrm{jj}}<180\GeV$.

Boosted (resolved) events belong to the tagged category if the hadronic or
candidate contains one subjet (jet) with a medium tag and the other subjet
(jet) with a loose tag. Otherwise, they are placed in the untagged category.
Figure 3 shows the distributions of the untagged and loose and medium DeepCSV
tags for subjets of the boosted hadronic candidates in SR2.

In total, eight categories are defined by the combination of electrons/muons,
boosted/resolved, and tagged/untagged. Table 0.5 summarizes the selection and
categorization requirements of the analysis. Figure 4 shows the merged jet
$m_{\mathrm{J}}$ and dijet $m_{\mathrm{jj}}$ distributions for the untagged
and tagged categories in the signal and sideband regions.

Figure 3:  Distributions of the untagged and loose and medium DeepCSV tags for
the more -like subjet (left) and the less -like subjet (right) of the boosted
hadronic candidates in SR2. The gray band shows the statistical and systematic
uncertainties in the background. Background normalizations are derived from
the final fit to the data. The red dashed histograms correspond to a
hypothetical chiral ALP with $1\TeV^{-1}$ couplings to gluons and $\PZ\PH$,
and $f_{\HepParticle{a}{}{}}=3\TeV$; the cross sections have been multiplied
by the factors indicated in the legends for better visibility. The lower
panels show the ratio of data to background.

Summary of selection requirements and categorization.  Observable Event
category Resolved Boosted Leptons Same flavor, opposite charge $\pt(\Pell)$ ()
$>$40 $>$40 $\abs{\eta(\Pell)}$ $<$2.4 $<$2.4 $m_{\Pell\Pell}$ () [76, 106]
[76, 106] η(${\mathrm{j}}$) or η(${\mathrm{J}}$) $<$2.4 $<$2.4
$\DR(\Pell{\mathrm{J}})$ (AK8) $>$0.8 $\DR(\Pell{\mathrm{j}})$ (AK4) $>$0.4
$\DR({\mathrm{j}}{\mathrm{j}})$ $<$1.5 $\pt(\Pell\Pell)$ () $>$150 $>$200
$\pt({\mathrm{j}}{\mathrm{j}})$ or $\pt({\mathrm{J}})$ () $>$150 $>$200 PUPPI
$\tau_{21}$ $<$0.4 (2016), $<$0.45 (2017, 2018) SR1 $m_{\mathrm{jj}}$ or
$m_{\mathrm{J}}$ () [65, 110] [65, 105] SR2 $m_{\mathrm{jj}}$ or
$m_{\mathrm{J}}$ () [95, 135] [95, 135] SB $m_{\mathrm{jj}}$ or
$m_{\mathrm{J}}$ () [30, 65] $\bigcup$ [135, 180] [30,65] $\bigcup$ [135,300]
tagging Untagged / Tagged [L+M] Untagged / Tagged [L+M]

Figure 4:  Distributions of the merged jet $m_{\mathrm{J}}$ (upper) and the
dijet $m_{\mathrm{jj}}$ (lower) for the untagged (left) and tagged (right)
categories. The distributions include events in the signal regions SR1 and SR2
and in the sideband SB; the corresponding boundaries have been defined in the
text. The gray band shows the statistical and systematic uncertainties in the
background. Background normalizations are derived from the final fit to the
data. The red dashed histograms correspond to a hypothetical linear ALP with
$1\TeV^{-1}$ couplings to gluons and $\PZ\PZ$, and
$f_{\HepParticle{a}{}{}}=3\TeV$; the cross sections have been multiplied by
the factors indicated in the legends for better visibility. The lower panels
show the ratio of data to background.

##  0.6 Background estimation

Most events in the selected $\PZ\PV$ and $\PZ\PH$ candidate samples come from
$\PZ+\text{jets}$ production. A genuine boson decaying into $\Pell\Pell$,
along with a high-merged jet or dijet pair, may easily yield a signal-like
combination, even though the jets do not originate from a boson decay. The
features of the $\PZ+\text{jets}$ background are studied using simulated
samples. The limited number of simulated events remaining in the -tagged
categories results in sizable statistical fluctuations in the predicted
distributions of the diboson mass $m_{\PZ\PV}$ and $m_{\PZ\PH}$ for this
background. It has been observed, however, that within simulation
uncertainties, the shape of the $\PZ+\text{jets}$ mass distribution is the
same for events with and without -tagged jets. Therefore, the
$\PZ+\text{jets}$ shapes in the -tagged categories are described using the
$m_{\PZ\PV}$ and $m_{\PZ\PH}$ shapes obtained from the simulation without
making any tag requirements.

The modeling of the $\PZ+\text{jets}$ background is derived from data. In the
final fit to the data, the $\PZ+\text{jets}$ background normalization in the
signal region, SR1 or SR2, is constrained by the observed yield in the SB. The
shape of the $\PZ+\text{jets}$ mass distribution is determined from the
simulation, with a correction applied to improve the agreement with the data
in the SB region. A linear function depending on one single parameter $s$,
$\corr(m_{\PZ\PX},s)=1+s(m_{\PZ\PX}-500\GeV)/(500\GeV)$, is sufficient to make
the invariant mass distributions agree within their uncertainties. This
procedure is applied independently to each boosted/resolved and
untagged/tagged category. Figure 5 shows fits to the SB diboson mass
distributions including the linear correction with $s$ at its fitted value.
The uncertainties in the SB-fitted slope parameter $s$ are in the range from
0.01 to 0.1, depending on the category. In the final fit of each category, the
slope parameter $s$ is allowed to float, constrained by the data in the signal
and sideband regions simultaneously. Statistical uncertainties associated with
the simulated $\PZ+\text{jets}$ distributions are also taken into account in
the fit. The fits in the merged categories include the peaking region of the
background; Fig. 5 shows that the SB data in this particular region are
described well by the fit.

Figure 5: The sideband diboson mass distributions for the boosted (upper),
resolved (lower), untagged (left), and tagged (right) categories after fitting
the sideband data alone. The points show the data, while the filled histograms
show the background contributions. The gray band indicates the statistical and
post-fit systematic uncertainties in the normalization and shape of the
background. The lower panel shows the ratio of data to background.

Dilepton backgrounds that do not contain a leptonic boson decay are estimated
from data using $\Pe\Pgm$ events passing the analysis selection. This approach
accounts for top quark pair production (), $\PW\PW+\text{jets}$,
$\PZ\to\tau\tau+\text{jets}$, single top quark, and hadrons misidentified as
leptons; we collectively refer to this set of backgrounds as $\PQt+\text{X}$.
The relative normalization and shape of the diboson mass distributions for
$\Pe\Pe$ and $\PGm\PGm$ events with respect to $\Pe\Pgm$ events have been
estimated from data on a top quark-enriched control sample and shown to be
consistent with lepton flavor symmetry expectations. The $\PQt+\text{X}$
background contamination represents 0.8 (0.9)% and 3 (4)% of the total
background in the untagged and tagged categories of the resolved SR1 (SR2)
selection, while the boosted SR1 (SR2) selection has a contamination of 0.5
(0.7)% and 0.8 (1)% in the untagged and tagged categories.

The diboson background ($\PZ\PZ$ and $\PZ\PW$, with $\PZ\to\Pell\Pell$) is
estimated directly from simulation. The diboson contamination represents 4
(3)% and 8 (4)% of the total background in the untagged and tagged categories
of the resolved SR1 (SR2) selection, while the boosted SR1 (SR2) selection has
a contamination of about 8 (4)% and 20 (11)% in the untagged and tagged
categories. The contribution to the background of SM $\PZ\PH$ production, with
$\PZ\to\Pell\Pell$, has been found to be negligible.

The SR1 $m_{\PZ\PV}$ and SR2 $m_{\PZ\PH}$ distributions for the boosted and
resolved categories are shown in Figs. 6 and 7, respectively.

Figure 6: The SR1 $m_{\PZ\PV}$ distributions for the boosted (upper), resolved
(lower), untagged (left), and tagged (right) categories after fitting the
signal and sideband regions with a model comprising signal (ALP linear
$\PZ\PZ$) plus background. The last bin includes events with $m_{\PZ\PV}$
values up to 3000. The points show the data, while the filled histograms show
the background contributions. The signal is represented by the red dashed
histogram, normalized to the observed 95% confidence level cross section limit
at $f_{\HepParticle{a}{}{}}=3\TeV$; the cross sections have been multiplied by
the factors indicated in the legends for better visibility. The gray band
indicates the statistical and post-fit systematic uncertainties in the
normalization and shape of the background. The lower panels show the ratio of
data to background.

Figure 7: The SR2 $m_{\PZ\PH}$ distributions for the boosted (upper), resolved
(lower), untagged (left), and tagged (right) categories after fitting the
signal and sideband regions with a model comprising signal (ALP chiral
$\PZ\PH$) plus background. The last bin includes events with $m_{\PZ\PH}$
values up to 3000. The points show the data, while the filled histograms show
the background contributions. The signal is represented by the red dashed
histogram, normalized to the observed 95% confidence level cross section limit
at $f_{\HepParticle{a}{}{}}=3\TeV$; the cross sections have been multiplied by
the factors indicated in the legends for better visibility. The gray band
indicates the statistical and post-fit systematic uncertainties in the
normalization and shape of the background. The lower panels show the ratio of
data to background.

##  0.7 Systematic uncertainties

The systematic uncertainties influence both the normalization and shape of the
background and signal distributions in the analysis.

The uncertainty in the background shape, which is the dominant systematic
effect, is evaluated by comparing data and simulation after the fit in the
signal and SB regions, and the residual shape difference is treated as an
uncertainty. The background shape correction procedure has been explained in
Section 0.6. The impacts of these uncertainties are quantified by calculating
the change on the fitted signal cross section when a given parameter is
displaced by ${\pm}1$ standard deviation from its post-fit value, divided by
the total uncertainty in the fitted signal cross section. The impacts of the
background shape uncertainty in the boosted untagged, boosted tagged, resolved
untagged, and resolved tagged categories are 11, 13, 3, and 3%, respectively,
for a bulk graviton with a mass of 1. For an ALP linear $\PZ\PZ$ (ALP chiral
$\PZ\PH$) signal, the corresponding impacts are 42 (9), 42 (44), 16 (7), and
16 (23)%, respectively.

Uncertainties associated with the description in simulation of the trigger
efficiencies, as well as the uncertainties in the efficiency for lepton
reconstruction, identification, and isolation, are extracted from dedicated
studies of events with leptonic boson decays, and amount to 1.5% for muons and
2% for electrons. The uncertainties in the lepton momentum and energy scales
are propagated to the signal shape and normalization; the largest impact on
the normalization is 0.2%.

Uncertainties in the jet energy scale and resolution [48] affect both the
normalization and the shape of the signal samples. The momenta of the
reconstructed jets are varied according to the uncertainties in the jet energy
scale and resolution, and the selection efficiencies and signal shapes are
reevaluated using these modified samples. This procedure results in a change
of 1–2% in the normalization of the resolved categories; the largest change in
the normalization of the boosted categories is 0.3%. These sources of
uncertainty are responsible for the largest signal shape systematic
uncertainty.

The uncertainty in the boosted boson identification efficiency and the groomed
mass scale and resolution [54] are responsible for a 7% signal normalization
uncertainty in the merged category of the analysis. These are measured in data
and simulation in an almost pure selection of semileptonic events where
boosted bosons produced in top quark decays are separated from the
combinatorial background by means of a simultaneous fit to the soft-drop
merged-jet mass. The uncertainties in the soft-drop mass scale and resolution
are propagated to the groomed jet mass, and the impact on the selection
efficiency of signal and $\PZ\PV$ background is taken into account. An
additional uncertainty affecting the signal normalization is included to
account for the extrapolation of the uncertainties extracted from a sample at
typical jet of 200to higher regimes, yielding an uncertainty of 2.6–6%.

The scale factors (SFs) for the tagging efficiencies and their corresponding
systematic uncertainties are measured in data using samples enriched in quark
content, and their propagation to the signal region of the analysis produces
an uncertainty of 12% in the tagged boosted category and 4% in the tagged
resolved category. The uncertainties in the mistag efficiency SFs are also
considered; the uncertainties in the tagging and mistag efficiencies are
treated as anticorrelated between the tagged and untagged categories.

For the $\PQt+\text{X}$ background, a 4% uncertainty is estimated by comparing
the yield of $\Pe\Pgm$ events with $\Pe\Pe+\PGm\PGm$ events in a top quark-
enriched control region.

The different shapes of the $m_{\mathrm{J}}$ ($m_{\mathrm{jj}}$) distributions
in the NLO and LO $\PZ+\text{jets}$ simulations induce a 3 (5)% change in the
ratio of the SR to SB normalizations in the boosted (resolved) categories.
This difference is taken as a systematic uncertainty.

The effect of varying the factorization and renormalization scales by a factor
of 2 is propagated to the signal shape and normalization. The impact on the
signal acceptance is evaluated to be 0.1–0.3%, depending on the signal mass
and analysis category.

The systematic uncertainty associated with the PDFs used to generate the
simulated samples is evaluated by varying the NNPDF 3.0/3.1 PDF set within its
uncertainties, following the prescription in Ref. [55], and its effect is
propagated to the signal shape and normalization, resulting in a measured
uncertainty of 0.3% in the resolved categories and 1.5% in the boosted
categories.

Additional systematic uncertainties affecting the normalization of backgrounds
and signal from the contributions of pileup events and the integrated
luminosity [56, 57, 58] are also considered.

The complete list of background and signal normalization systematic
uncertainties in the analysis is reported in Table 0.7.

Summary of systematic uncertainties, quoted in percent, affecting the
normalization of background and signal samples. Where a systematic uncertainty
depends on the signal $\PZ\PV$ or $\PZ\PH$ channel or mass, the smallest and
largest values are reported. In the case of a systematic uncertainty applying
only to a specific background source, the source is indicated in parentheses.
Systematic uncertainties too small to be considered are written as “$<$0.1”,
while a dash () represents uncertainties not applicable in the specific
analysis category.  Boosted Resolved Source Background Signal Background
Signal Integrated luminosity 1.8 1.8 Electron trigger and ident. 2.0 2.0 Muon
trigger and ident. 1.5 1.5 Electron energy scale 0.8 $<$0.1–0.2 0.9 $<$0.1
Muon momentum scale 0.5 $<$0.1–0.1 0.6 $<$0.1 Jet energy scale 1.0 $<$0.1–0.1
2.8 0.1–1.9 Jet energy resolution 0.3 $<$0.1–0.3 0.3 1.0 identification
($\tau_{21}$) 5 ($\PZ\PV$) 5 identification (extrap.) 2.6–6.0 mass scale 0.6
($\PZ\PV$) 0.4–0.8 mass resolution 5.0 ($\PZ\PV$) 5.0–6.0 tag SF, untagged 0.1
1.0–7.4 0.1 0.7–2.2 tag SF, tagged 12 12 3.6 4 Mistag SF, untagged 0.3
$<$0.1–0.2 0.2 0.1 Mistag SF, tagged 3.5 0.1–0.3 3.8 0.4–1.0 SM $\PZ\PV$
production 12 12 $\PQt+\text{X}$ normalization 4 ($\Pe\Pgm$) 4 ($\Pe\Pgm$) SR-
to-SB norm. ratio 3 ($\PZ+\text{jets}$) 5 ($\PZ+\text{jets}$) PDFs 1.5–1.6
0.3–1.1 Renorm. and fact. scales 0.1–0.3 0.2–0.3 Pileup 0.5 0.1–0.2 0.1
0.1–0.2

##  0.8 Results and interpretation

The signal selection efficiencies obtained from simulation are presented in
Table 0.8.

Selection efficiencies in percent for the bulk graviton, , and ALP linear and
chiral models.  Analysis 500 600 800 1000 1200 1400 1600 1800 Bulk graviton
Boosted 8 22 33 37 38 38 37 36 Resolved 21 15 12 9 6 4 3 2 Combined 29 37 44
46 44 42 40 38 Boosted 12 25 35 39 40 39 39 37 Resolved 14 10 9 6 4 3 2 1
Combined 26 35 43 45 44 42 40 38 ALP linear $\PZ\PZ$ ALP chiral $\PZ\PH$
Boosted 8 7 Resolved 7 10 Combined 15 17

Results are extracted from a combined maximum likelihood fit of signal and
background to the $m_{\PZ\PV}$ or $m_{\PZ\PH}$ distribution in the
400–3000interval, simultaneously in all the categories used in the analysis.
The systematic uncertainties discussed in Section 0.7 are included as nuisance
parameters in the maximum likelihood fit, and the background-only hypothesis
is tested against the combined background and signal hypothesis [59, 60].

No significant excess is observed with respect to the SM expectations. Upper
limits at 95% confidence level () on the signal production cross sections are
set using the modified frequentist () approach in the asymptotic approximation
[60, 59, 61, 62].

The observed and expected upper limits on the resonance cross section,
multiplied by the branching fraction for the decay into one boson and a or
boson, $\sigma_{\PXXG}\,\mathcal{B}(\PXXG\to\PZ\PZ)$ or
$\sigma_{\PWpr}\,\mathcal{B}(\PWpr\to\PZ\PW)$, are reported as a function of
the resonance mass in Fig. 8, assuming a or produced in the narrow-width
approximation. A WED bulk graviton is excluded up to masses of 1200 (expected
1150)for $\widetilde{\kappa}=0.5$. These limits improve on those previously
obtained by the CMS Collaboration in the analogous final states [12]. The
current mass exclusion limits in HVT models A ($g_{\PV}=1$) and B
($g_{\PV}=3$) are those derived from the high-mass analysis in Ref. [12].

Figure 8: Observed and expected 95% upper limits on
$\sigma_{\PXXG}\,\mathcal{B}(\PXXG\to\PZ\PZ)$ (left) and
$\sigma_{\PWpr}\,\mathcal{B}(\PWpr\to\PZ\PW)$ (right) as a function of the
resonance mass, taking into account all statistical and systematic
uncertainties. The electron and muon channels and the various categories used
in the analysis are combined together. The green (inner) and yellow (outer)
bands represent the 68 and 95% coverage of the expected limit in the
background-only hypothesis. Theoretical predictions for the signal production
cross section are also shown: (left) produced in the WED bulk graviton model
with $\widetilde{\kappa}=0.5$; (right) produced in the framework of HVT model
A and B with $g_{\PV}=1$ and 3, respectively.

Figure 9 shows the observed and expected 95% upper limits on the ALP linear
$\abs{c_{\PXXSG}c_{\PSZ}}$ (left) and the ALP chiral
$\abs{c_{\PXXSG}\widetilde{a}_{\text{2D}}}$ (right) coupling coefficients, as
functions of the mass scale $f_{\HepParticle{a}{}{}}$. For each black dot in
Fig. 9, events with $m_{\PZ\PV}$ or $m_{\PZ\PH}>f_{\HepParticle{a}{}{}}$ have
been excluded from the fit, restricting the analysis to the EFT mass
consistency region. Limits on the coupling coefficients for
$f_{\HepParticle{a}{}{}}>3\TeV$ are calculated from the same fit result as
$f_{\HepParticle{a}{}{}}=3\TeV$. We define the ALP mass range where our
results are considered valid as the region where the cross section diverges by
less than 10% from its asymptotic value, $m_{\HepParticle{a}{}{}}<100\GeV$.
The expected and observed upper limits on
$\sigma(\Pg\Pg\to{\HepParticle{a}{}{\ast}}\to\PZ\PZ/\PZ\PH)$ for
$f_{\HepParticle{a}{}{}}=3\TeV$ are reported in Table 0.8.

Figure 9: Observed and expected 95% upper limits on the ALP linear
$\abs{c_{\PXXSG}c_{\PSZ}}$ (left) and the ALP chiral
$\abs{c_{\PXXSG}\widetilde{a}_{\text{2D}}}$ (right) coupling coefficients as a
function of the mass scale $f_{\HepParticle{a}{}{}}$ for ALP masses
$m_{\HepParticle{a}{}{}}<100\GeV$.

Expected and observed 95% upper limits on
$\sigma(\Pg\Pg\to{\HepParticle{a}{}{\ast}}\to\PZ\PZ/\PZ\PH)$ in fb for
$f_{\HepParticle{a}{}{}}=3\TeV$. The $\pm 1\sigma$ and $\pm 2\sigma$ numbers
represent the 68 and 95% coverage of the expected limit for the background-
only hypothesis.  Model Expected Observed $-2\sigma$ $-1\sigma$ Median
$+1\sigma$ $+2\sigma$ ALP linear ZZ 79 107 151 218 304 162 ALP chiral ZH 32 39
64 94 134 57

In the ALP linear model with $f_{\HepParticle{a}{}{}}\geq 3\TeV$, the observed
(expected) 95% limit on $\abs{c_{\PXXSG}c_{\PSZ}}/f_{\HepParticle{a}{}{}}^{2}$
is 0.0415 (0.0400)-2. The limit on $\abs{c_{\PSZ}}/f_{\HepParticle{a}{}{}}$
and $\abs{c_{\PXXSG}}/f_{\HepParticle{a}{}{}}$ in the case where the two are
equal is 0.204 (0.200)-1; for
$\abs{c_{\PXXSG}}/f_{\HepParticle{a}{}{}}=0.25\TeV^{-1}$, the limit on
$\abs{c_{\PSZ}}/f_{\HepParticle{a}{}{}}$ is 0.166 (0.160)-1.

In the ALP chiral model with $f_{\HepParticle{a}{}{}}\geq 3\TeV$, the observed
(expected) 95% limit on
$\abs{c_{\PXXSG}\widetilde{a}_{\text{2D}}}/f_{\HepParticle{a}{}{}}^{2}$ is
0.0269 (0.0281)-2. The limit on
$\abs{\widetilde{a}_{\text{2D}}}/f_{\HepParticle{a}{}{}}$ and
$\abs{c_{\PXXSG}}/f_{\HepParticle{a}{}{}}$ in the case where the two are equal
is 0.164 (0.168)-1; for
$\abs{c_{\PXXSG}}/f_{\HepParticle{a}{}{}}=0.25\TeV^{-1}$, the limit on
$\abs{\widetilde{a}_{\text{2D}}}/f_{\HepParticle{a}{}{}}$ is 0.108 (0.113)-1.
These limits are valid for a Higgs boson with SM decays. The experimental
upper limit on $\mathcal{B}(\PH\to\text{BSM})$ is 0.34 at 95% [63]; thus,
relaxing the SM condition would increase the limits on
$\abs{c_{\PXXSG}\widetilde{a}_{\text{2D}}}/f_{\HepParticle{a}{}{}}^{2}$ by a
factor of 1.23 at most.

##  0.9 Summary

A search has been presented for heavy resonances decaying to $\PZ\PZ$ or
$\PZ\PW$, and nonresonant $\PZ\PZ$ or $\PZ\PH$ production (where is the Higgs
boson) mediated by axion-like particles (ALPs). The analysis is sensitive to
resonances with masses in the range from 450 to 1800. Two categories are
defined based on the merged or resolved reconstruction of the hadronically
decaying boson. The search is based on data collected in 2016–2018 by the CMS
experiment at the LHC in proton-proton collisions with a center-of-mass energy
of 13, corresponding to an integrated luminosity of 138.

No significant excess is observed in the data above the standard model
expectations. Depending on the resonance mass, upper limits of 2–90 and
5–120fb have been set on the product of the cross section of a spin-2 bulk
graviton and the $\PZ\PZ$ branching fraction, and on a spin-1 signal and the
$\PZ\PW$ branching fraction, respectively. Upper limits on the nonresonant
ALP-mediated $\PZ\PZ$ and $\PZ\PH$ production cross sections for a new physics
energy scale $f_{\HepParticle{a}{}{}}=3\TeV$ and ALP masses
$m_{\HepParticle{a}{}{}}<100\GeV$ have been established at 162 and 57fb,
respectively. Depending on the value of the scale $f_{\HepParticle{a}{}{}}$,
upper limits on the product of the ALP coupling to gluons with the relevant
coupling to $\PZ\PZ$ or $\PZ\PH$ of 0.02–0.09-2 have been set, valid for ALP
masses $m_{\HepParticle{a}{}{}}<100\GeV$. These are the first limits based on
nonresonant ALP-mediated $\PZ\PZ$ and $\PZ\PH$ production obtained by the LHC
experiments.

###### Acknowledgements.

We congratulate our colleagues in the CERN accelerator departments for the
excellent performance of the LHC and thank the technical and administrative
staffs at CERN and at other CMS institutes for their contributions to the
success of the CMS effort. In addition, we gratefully acknowledge the
computing centers and personnel of the Worldwide LHC Computing Grid and other
centers for delivering so effectively the computing infrastructure essential
to our analyses. Finally, we acknowledge the enduring support for the
construction and operation of the LHC, the CMS detector, and the supporting
computing infrastructure provided by the following funding agencies: BMBWF and
FWF (Austria); FNRS and FWO (Belgium); CNPq, CAPES, FAPERJ, FAPERGS, and
FAPESP (Brazil); MES and BNSF (Bulgaria); CERN; CAS, MoST, and NSFC (China);
MINCIENCIAS (Colombia); MSES and CSF (Croatia); RIF (Cyprus); SENESCYT
(Ecuador); MoER, ERC PUT and ERDF (Estonia); Academy of Finland, MEC, and HIP
(Finland); CEA and CNRS/IN2P3 (France); BMBF, DFG, and HGF (Germany); GSRI
(Greece); NKFIA (Hungary); DAE and DST (India); IPM (Iran); SFI (Ireland);
INFN (Italy); MSIP and NRF (Republic of Korea); MES (Latvia); LAS (Lithuania);
MOE and UM (Malaysia); BUAP, CINVESTAV, CONACYT, LNS, SEP, and UASLP-FAI
(Mexico); MOS (Montenegro); MBIE (New Zealand); PAEC (Pakistan); MSHE and NSC
(Poland); FCT (Portugal); JINR (Dubna); MON, RosAtom, RAS, RFBR, and NRC KI
(Russia); MESTD (Serbia); SEIDI, CPAN, PCTI, and FEDER (Spain); MOSTR (Sri
Lanka); Swiss Funding Agencies (Switzerland); MST (Taipei); ThEPCenter, IPST,
STAR, and NSTDA (Thailand); TUBITAK and TAEK (Turkey); NASU (Ukraine); STFC
(United Kingdom); DOE and NSF (USA). Individuals have received support from
the Marie-Curie program and the European Research Council and Horizon 2020
Grant, contract Nos. 675440, 724704, 752730, 758316, 765710, 824093, 884104,
and COST Action CA16108 (European Union); the Leventis Foundation; the Alfred
P. Sloan Foundation; the Alexander von Humboldt Foundation; the Belgian
Federal Science Policy Office; the Fonds pour la Formation à la Recherche dans
l’Industrie et dans l’Agriculture (FRIA-Belgium); the Agentschap voor
Innovatie door Wetenschap en Technologie (IWT-Belgium); the F.R.S.-FNRS and
FWO (Belgium) under the “Excellence of Science – EOS” – be.h project n.
30820817; the Beijing Municipal Science & Technology Commission, No.
Z191100007219010; the Ministry of Education, Youth and Sports (MEYS) of the
Czech Republic; the Deutsche Forschungsgemeinschaft (DFG), under Germany’s
Excellence Strategy – EXC 2121 “Quantum Universe” – 390833306, and under
project number 400140256 - GRK2497; the Lendület (“Momentum”) Program and the
János Bolyai Research Scholarship of the Hungarian Academy of Sciences, the
New National Excellence Program ÚNKP, the NKFIA research grants 123842,
123959, 124845, 124850, 125105, 128713, 128786, and 129058 (Hungary); the
Council of Science and Industrial Research, India; the Latvian Council of
Science; the Ministry of Science and Higher Education and the National Science
Center, contracts Opus 2014/15/B/ST2/03998 and 2015/19/B/ST2/02861 (Poland);
the Fundação para a Ciência e a Tecnologia, grant CEECIND/01334/2018
(Portugal); the National Priorities Research Program by Qatar National
Research Fund; the Ministry of Science and Higher Education, projects no.
14.W03.31.0026 and no. FSWW-2020-0008, and the Russian Foundation for Basic
Research, project No.19-42-703014 (Russia); the Programa Estatal de Fomento de
la Investigación Científica y Técnica de Excelencia María de Maeztu, grant
MDM-2015-0509 and the Programa Severo Ochoa del Principado de Asturias; the
Stavros Niarchos Foundation (Greece); the Rachadapisek Sompot Fund for
Postdoctoral Fellowship, Chulalongkorn University and the Chulalongkorn
Academic into Its 2nd Century Project Advancement Project (Thailand); the
Kavli Foundation; the Nvidia Corporation; the SuperMicro Corporation; the
Welch Foundation, contract C-1845; and the Weston Havens Foundation (USA).

## References

  * [1] K. Agashe, H. Davoudiasl, G. Perez, and A. Soni, “Warped gravitons at the LHC and beyond”,  Phys. Rev. D 76 (2007) 036006, 10.1103/PhysRevD.76.036006, arXiv:hep-ph/0701186.
  * [2] L. Randall and R. Sundrum, “A large mass hierarchy from a small extra dimension”,  Phys. Rev. Lett. 83 (1999) 3370, 10.1103/PhysRevLett.83.3370, arXiv:hep-ph/9905221.
  * [3] L. Randall and R. Sundrum, “An alternative to compactification”,  Phys. Rev. Lett. 83 (1999) 4690, 10.1103/PhysRevLett.83.4690, arXiv:hep-th/9906064.
  * [4] D. Pappadopulo, A. Thamm, R. Torre, and A. Wulzer, “Heavy vector triplets: Bridging theory and data”,  JHEP 09 (2014) 060, 10.1007/JHEP09(2014)060, arXiv:1402.4431.
  * [5] H. Georgi, D. B. Kaplan, and L. Randall, “Manifesting the invisible axion at low energies”,  Phys. Lett. B 169 (1986) 73, 10.1016/0370-2693(86)90688-X.
  * [6] K. Choi, K. Kang, and J. E. Kim, “Effects of $\eta^{\prime}$ in low-energy axion physics”,  Phys. Lett. B 181 (1986) 145, 10.1016/0370-2693(86)91273-6.
  * [7] I. Brivio et al., “ALPs effective field theory and collider signatures”,  Eur. Phys. J. C 77 (2017) 572, 10.1140/epjc/s10052-017-5111-3, arXiv:1701.05379.
  * [8] M. Bauer, M. Neubert, and A. Thamm, “Collider probes of axion-like particles”,  JHEP 12 (2017) 044, 10.1007/JHEP12(2017)044, arXiv:1708.00443.
  * [9] M. B. Gavela, J. M. No, V. Sanz, and J. F. de Trocóniz, “Nonresonant searches for axionlike particles at the LHC”,  Phys. Rev. Lett. 124 (2020) 051802, 10.1103/PhysRevLett.124.051802, arXiv:1905.12953.
  * [10] CMS Collaboration, “Jet energy scale and resolution in the CMS experiment in pp collisions at 8 TeV”,  JINST 12 (2017) P02014, 10.1088/1748-0221/12/02/P02014, arXiv:1607.03663.
  * [11] CMS Collaboration, “Search for a heavy resonance decaying into a Z boson and a vector boson in the $\nu\overline{\nu}\mathrm{q}\overline{\mathrm{q}}$ final state”,  JHEP 07 (2018) 075, 10.1007/JHEP07(2018)075, arXiv:1803.03838.
  * [12] CMS Collaboration, “Search for a heavy resonance decaying into a Z boson and a Z or W boson in 2$\ell$2q final states at $\sqrt{s}=13$ TeV”,  JHEP 09 (2018) 101, 10.1007/JHEP09(2018)101, arXiv:1803.10093.
  * [13] CMS Collaboration, “Combination of CMS searches for heavy resonances decaying to pairs of bosons or leptons”,  Phys. Lett. B 798 (2019) 134952, 10.1016/j.physletb.2019.134952, arXiv:1906.00057.
  * [14] ATLAS Collaboration, “Search for heavy diboson resonances in semileptonic final states in $pp$ collisions at $\sqrt{s}=13$ TeV with the ATLAS detector”,  Eur. Phys. J. C 80 (2020) 1165, 10.1140/epjc/s10052-020-08554-y, arXiv:2004.14636.
  * [15] CMS Collaboration, “Search for a heavy vector resonance decaying to a Z boson and a Higgs boson in proton-proton collisions at $\sqrt{s}=$ 13 TeV”,  Eur. Phys. J. C 81 (2021) 688, 10.1140/epjc/s10052-021-09348-6, arXiv:2102.08198.
  * [16] S. Carra et al., “Constraining off-shell production of axion-like particles with $Z\gamma$ and $WW$ differential cross-section measurements”, 2021. arXiv:2106.10085.
  * [17] “HEPData record for this analysis”, 2021.  10.17182/hepdata.114367.
  * [18] A. L. Fitzpatrick, J. Kaplan, L. Randall, and L.-T. Wang, “Searching for the Kaluza-Klein graviton in bulk RS models”,  JHEP 09 (2007) 013, 10.1088/1126-6708/2007/09/013, arXiv:hep-ph/0701150.
  * [19] W. D. Goldberger and M. B. Wise, “Modulus stabilization with bulk fields”,  Phys. Rev. Lett. 83 (1999) 4922, 10.1103/PhysRevLett.83.4922, arXiv:hep-ph/9907447.
  * [20] A. Carvalho, “Gravity particles from warped extra dimensions, predictions for LHC”, 2014. arXiv:1404.0102.
  * [21] J. Alwall et al., “The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations”,  JHEP 07 (2014) 079, 10.1007/JHEP07(2014)079, arXiv:1405.0301.
  * [22] W. Buchmuller and D. Wyler, “Effective Lagrangian analysis of new interactions and flavor conservation”,  Nucl. Phys. B 268 (1986) 621, 10.1016/0550-3213(86)90262-2.
  * [23] B. Grzadkowski, M. Iskrzynski, M. Misiak, and J. Rosiek, “Dimension-six terms in the standard model Lagrangian”,  JHEP 10 (2010) 085, 10.1007/JHEP10(2010)085, arXiv:1008.4884.
  * [24] F. Feruglio, “The chiral approach to the electroweak interactions”,  Int. J. Mod. Phys. A 8 (1993) 4937, 10.1142/S0217751X93001946, arXiv:hep-ph/9301281.
  * [25] A. Azatov, R. Contino, and J. Galloway, “Model-independent bounds on a light Higgs”,  JHEP 04 (2012) 127, 10.1007/JHEP04(2012)127, arXiv:1202.3415. [Erratum: 10.1007/JHEP04(2013)140].
  * [26] R. Alonso et al., “The effective chiral Lagrangian for a light dynamical Higgs particle”,  Phys. Lett. B 722 (2013) 330, 10.1016/j.physletb.2013.04.037, arXiv:1212.3305. [Erratum: 10.1016/j.physletb.2013.09.028].
  * [27] G. Buchalla, O. Catà, and C. Krause, “Complete electroweak chiral Lagrangian with a light Higgs at NLO”,  Nucl. Phys. B 880 (2014) 552, 10.1016/j.nuclphysb.2014.01.018, arXiv:1307.5017. [Erratum: 10.1016/j.nuclphysb.2016.09.010].
  * [28] J. M. Lindert et al., “Precise predictions for ${V}+$ jets dark matter backgrounds”,  Eur. Phys. J. C 77 (2017) 829, 10.1140/epjc/s10052-017-5389-1, arXiv:1705.04664.
  * [29] T. Sjöstrand et al., “An introduction to PYTHIA 8.2”,  Comput. Phys. Commun. 191 (2015) 159, 10.1016/j.cpc.2015.01.024, arXiv:1410.3012.
  * [30] CMS Collaboration, “Event generator tunes obtained from underlying event and multiparton scattering measurements”,  Eur. Phys. J. C 76 (2016) 155, 10.1140/epjc/s10052-016-3988-x, arXiv:1512.00815.
  * [31] CMS Collaboration, “Extraction and validation of a new set of CMS PYTHIA8 tunes from underlying-event measurements”,  Eur. Phys. J. C 80 (2020) 4, 10.1140/epjc/s10052-019-7499-4, arXiv:1903.12179.
  * [32] NNPDF Collaboration, “Parton distributions for the LHC Run II”,  JHEP 04 (2015) 040, 10.1007/JHEP04(2015)040, arXiv:1410.8849.
  * [33] NNPDF Collaboration, “Parton distributions from high-precision collider data”,  Eur. Phys. J. C 77 (2017) 663, 10.1140/epjc/s10052-017-5199-5, arXiv:1706.00428.
  * [34] GEANT4 Collaboration, “—a simulation toolkit”,  Nucl. Instrum. Meth. A 506 (2003) 250, 10.1016/S0168-9002(03)01368-8.
  * [35] CMS Collaboration, “Performance of the CMS level-1 trigger in proton-proton collisions at $\sqrt{s}=13$ TeV”,  JINST 15 (2020) P10017, 10.1088/1748-0221/15/10/P10017, arXiv:2006.10165.
  * [36] CMS Collaboration, “The CMS trigger system”,  JINST 12 (2017) P01020, 10.1088/1748-0221/12/01/P01020, arXiv:1609.02366.
  * [37] CMS Collaboration, “The CMS experiment at the CERN LHC”,  JINST 3 (2008) S08004, 10.1088/1748-0221/3/08/S08004.
  * [38] CMS Collaboration, “Particle-flow reconstruction and global event description with the CMS detector”,  JINST 12 (2017) P10003, 10.1088/1748-0221/12/10/P10003, arXiv:1706.04965.
  * [39] M. Cacciari, G. P. Salam, and G. Soyez, “The anti-jet clustering algorithm”,  JHEP 04 (2008) 063, 10.1088/1126-6708/2008/04/063, arXiv:0802.1189.
  * [40] M. Cacciari, G. P. Salam, and G. Soyez, “FastJet user manual”,  Eur. Phys. J. C 72 (2012) 1896, 10.1140/epjc/s10052-012-1896-2, arXiv:1111.6097.
  * [41] CMS Collaboration, “Description and performance of track and primary-vertex reconstruction with the CMS tracker”,  JINST 9 (2014) P10009, 10.1088/1748-0221/9/10/P10009, arXiv:1405.6569.
  * [42] CMS Tracker Group Collaboration, “The CMS phase-1 pixel detector upgrade”,  JINST 16 (2021) P02027, 10.1088/1748-0221/16/02/P02027, arXiv:2012.14304.
  * [43] CMS Collaboration, “Track impact parameter resolution for the full pseudo rapidity coverage in the 2017 dataset with the CMS phase-1 pixel detector”, CMS Detector Performance Summary CMS-DP-2020-049, 2020.
  * [44] CMS Collaboration, “Performance of electron reconstruction and selection with the CMS detector in proton-proton collisions at $\sqrt{s}=8$”,  JINST 10 (2015) P06005, 10.1088/1748-0221/10/06/P06005, arXiv:1502.02701.
  * [45] CMS Collaboration, “Performance of the CMS muon detector and muon reconstruction with proton-proton collisions at $\sqrt{s}=13$”,  JINST 13 (2018) P06015, 10.1088/1748-0221/13/06/P06015, arXiv:1804.04528.
  * [46] CMS Collaboration, “Pileup mitigation at CMS in 13 TeV data”,  JINST 15 (2020) P09018, 10.1088/1748-0221/15/09/p09018, arXiv:2003.00503.
  * [47] D. Bertolini, P. Harris, M. Low, and N. Tran, “Pileup per particle identification”,  JHEP 10 (2014) 059, 10.1007/JHEP10(2014)059, arXiv:1407.6013.
  * [48] CMS Collaboration, “Jet algorithms performance in 13 TeV data”, CMS Physics Analysis Summary CMS-PAS-JME-16-003, 2017.
  * [49] M. Dasgupta, A. Fregoso, S. Marzani, and G. P. Salam, “Towards an understanding of jet substructure”,  JHEP 09 (2013) 029, 10.1007/JHEP09(2013)029, arXiv:1307.0007.
  * [50] A. J. Larkoski, S. Marzani, G. Soyez, and J. Thaler, “Soft drop”,  JHEP 05 (2014) 146, 10.1007/JHEP05(2014)146, arXiv:1402.2657.
  * [51] J. Thaler and K. Van Tilburg, “Identifying boosted objects with N-subjettiness”,  JHEP 03 (2011) 015, 10.1007/JHEP03(2011)015, arXiv:1011.2268.
  * [52] CMS Collaboration, “Identification of heavy-flavour jets with the CMS detector in pp collisions at 13 TeV”,  JINST 13 (2018) P05011, 10.1088/1748-0221/13/05/P05011, arXiv:1712.07158.
  * [53] CMS Collaboration, “Measurement of the inclusive $W$ and $Z$ production cross sections in $pp$ collisions at $\sqrt{s}=7$ TeV”,  JHEP 10 (2011) 132, 10.1007/JHEP10(2011)132, arXiv:1107.4789.
  * [54] CMS Collaboration, “Identification techniques for highly boosted W bosons that decay into hadrons”,  JHEP 12 (2014) 017, 10.1007/JHEP12(2014)017, arXiv:1410.4227.
  * [55] J. Butterworth et al., “PDF4LHC recommendations for LHC Run II”,  J. Phys. G 43 (2016) 023001, 10.1088/0954-3899/43/2/023001, arXiv:1510.03865.
  * [56] CMS Collaboration, “Precision luminosity measurement in proton-proton collisions at $\sqrt{s}=$ 13 TeV in 2015 and 2016 at CMS”,  Eur. Phys. J. C 81 (2021) 800, 10.1140/epjc/s10052-021-09538-2, arXiv:2104.01927.
  * [57] CMS Collaboration, “CMS luminosity measurement for the 2017 data-taking period at $\sqrt{s}$ = 13 TeV”, CMS Physics Analysis Summary CMS-PAS-LUM-17-004, 2018.
  * [58] CMS Collaboration, “CMS luminosity measurement for the 2018 data-taking period at $\sqrt{s}=13~{}\mathrm{TeV}$”, CMS Physics Analysis Summary CMS-PAS-LUM-18-002, 2019.
  * [59] A. L. Read, “Presentation of search results: The CL${}_{\text{s}}$ technique”,  J. Phys. G 28 (2002) 2693, 10.1088/0954-3899/28/10/313.
  * [60] T. Junk, “Confidence level computation for combining searches with small statistics”,  Nucl. Instrum. Meth. A 434 (1999) 435, 10.1016/S0168-9002(99)00498-2, arXiv:hep-ex/9902006.
  * [61] G. Cowan, K. Cranmer, E. Gross, and O. Vitells, “Asymptotic formulae for likelihood-based tests of new physics”,  Eur. Phys. J. C 71 (2011) 1554, 10.1140/epjc/s10052-011-1554-0, arXiv:1007.1727. [Erratum: 10.1140/epjc/s10052-013-2501-z].
  * [62] ATLAS Collaboration, CMS Collaboration, LHC Higgs Combination Group, “Procedure for the LHC Higgs boson search combination in Summer 2011”, Technical Report CMS-NOTE-2011-005, ATL-PHYS-PUB-2011-11, 2011.
  * [63] ATLAS and CMS Collaborations, “Measurements of the Higgs boson production and decay rates and constraints on its couplings from a combined ATLAS and CMS analysis of the LHC pp collision data at $\sqrt{s}=7$ and 8 TeV”,  JHEP 08 (2016) 045, 10.1007/JHEP08(2016)045, arXiv:1606.02266.

##  .10 The CMS Collaboration

Yerevan Physics Institute, Yerevan, Armenia A. Tumasyan Institut für
Hochenergiephysik, Vienna, Austria W. Adam0000-0001-9099-4341, J.W.
Andrejkovic, T. Bergauer0000-0002-5786-0293, S. Chatterjee0000-0003-2660-0349,
K. Damanakis, M. Dragicevic0000-0003-1967-6783, A. Escalante Del
Valle0000-0002-9702-6359, R. Frühwirth1, M. Jeitler10000-0002-5141-9560, N.
Krammer, L. Lechner0000-0002-3065-1141, D. Liko, I. Mikulec, P. Paulitsch,
F.M. Pitters, J. Schieck10000-0002-1058-8093, R. Schöfbeck0000-0002-2332-8784,
D. Schwarz, S. Templ0000-0003-3137-5692, W. Waltenberger0000-0002-6215-7228,
C.-E. Wulz10000-0001-9226-5812 Institute for Nuclear Problems, Minsk, Belarus
V. Chekhovsky, A. Litomin, V. Makarenko0000-0002-8406-8605 Universiteit
Antwerpen, Antwerpen, Belgium M.R. Darwish2, E.A. De Wolf, T.
Janssen0000-0002-3998-4081, T. Kello3, A. Lelek0000-0001-5862-2775, H. Rejeb
Sfar, P. Van Mechelen0000-0002-8731-9051, S. Van Putte, N. Van
Remortel0000-0003-4180-8199 Vrije Universiteit Brussel, Brussel, Belgium F.
Blekman0000-0002-7366-7098, E.S. Bols0000-0002-8564-8732, J.
D’Hondt0000-0002-9598-6241, M. Delcourt, H. El Faham0000-0001-8894-2390, S.
Lowette0000-0003-3984-9987, S. Moortgat0000-0002-6612-3420, A.
Morton0000-0002-9919-3492, D. Müller0000-0002-1752-4527, A.R.
Sahasransu0000-0003-1505-1743, S. Tavernier0000-0002-6792-9522, W. Van Doninck
Université Libre de Bruxelles, Bruxelles, Belgium D. Beghin, B.
Bilin0000-0003-1439-7128, B. Clerbaux0000-0001-8547-8211, G. De Lentdecker, L.
Favart0000-0003-1645-7454, A. Grebenyuk, A.K. Kalsi0000-0002-6215-0894, K.
Lee, M. Mahdavikhorrami, I. Makarenko0000-0002-8553-4508, L.
Moureaux0000-0002-2310-9266, L. Pétré, A. Popov0000-0002-1207-0984, N.
Postiau, E. Starling0000-0002-4399-7213, L. Thomas0000-0002-2756-3853, M.
Vanden Bemden, C. Vander Velde0000-0003-3392-7294, P.
Vanlaer0000-0002-7931-4496 Ghent University, Ghent, Belgium T.
Cornelis0000-0001-9502-5363, D. Dobur, J. Knolle0000-0002-4781-5704, L.
Lambrecht, G. Mestdach, M. Niedziela0000-0001-5745-2567, C. Roskas, A.
Samalan, K. Skovpen0000-0002-1160-0621, M. Tytgat0000-0002-3990-2074, B.
Vermassen, L. Wezenbeek Université Catholique de Louvain, Louvain-la-Neuve,
Belgium A. Benecke, A. Bethani0000-0002-8150-7043, G. Bruno, F.
Bury0000-0002-3077-2090, C. Caputo0000-0001-7522-4808, P.
David0000-0001-9260-9371, C. Delaere0000-0001-8707-6021, I.S.
Donertas0000-0001-7485-412X, A. Giammanco0000-0001-9640-8294, K. Jaffel, Sa.
Jain0000-0001-5078-3689, V. Lemaitre, K. Mondal0000-0001-5967-1245, J.
Prisciandaro, A. Taliercio, M. Teklishyn0000-0002-8506-9714, T.T. Tran, P.
Vischia0000-0002-7088-8557, S. Wertz0000-0002-8645-3670 Centro Brasileiro de
Pesquisas Fisicas, Rio de Janeiro, Brazil G.A. Alves0000-0002-8369-1446, C.
Hensel, A. Moraes0000-0002-5157-5686 Universidade do Estado do Rio de Janeiro,
Rio de Janeiro, Brazil W.L. Aldá Júnior0000-0001-5855-9817, M. Alves Gallo
Pereira0000-0003-4296-7028, M. Barroso Ferreira Filho, H. Brandao Malbouisson,
W. Carvalho0000-0003-0738-6615, J. Chinellato4, E.M. Da
Costa0000-0002-5016-6434, G.G. Da Silveira50000-0003-3514-7056, D. De Jesus
Damiao0000-0002-3769-1680, S. Fonseca De Souza0000-0001-7830-0837, C. Mora
Herrera0000-0003-3915-3170, K. Mota Amarilo, L. Mundim0000-0001-9964-7805, H.
Nogima, P. Rebello Teles0000-0001-9029-8506, A. Santoro, S.M. Silva Do
Amaral0000-0002-0209-9687, A. Sznajder0000-0001-6998-1108, M. Thiel, F. Torres
Da Silva De Araujo60000-0002-4785-3057, A. Vilela Pereira0000-0003-3177-4626
Universidade Estadual Paulista (a), Universidade Federal do ABC (b), São
Paulo, Brazil C.A. Bernardes50000-0001-5790-9563, L.
Calligaris0000-0002-9951-9448, T.R. Fernandez Perez Tomei0000-0002-1809-5226,
E.M. Gregores0000-0003-0205-1672, D.S. Lemos0000-0003-1982-8978, P.G.
Mercadante0000-0001-8333-4302, S.F. Novaes0000-0003-0471-8549, Sandra S.
Padula0000-0003-3071-0559 Institute for Nuclear Research and Nuclear Energy,
Bulgarian Academy of Sciences, Sofia, Bulgaria A. Aleksandrov, G.
Antchev0000-0003-3210-5037, R. Hadjiiska, P. Iaydjiev, M. Misheva, M. Rodozov,
M. Shopova, G. Sultanov University of Sofia, Sofia, Bulgaria A. Dimitrov, T.
Ivanov, L. Litov0000-0002-8511-6883, B. Pavlov, P. Petkov, A. Petrov Beihang
University, Beijing, China T. Cheng0000-0003-2954-9315, T. Javaid7, M. Mittal,
L. Yuan Department of Physics, Tsinghua University, Beijing, China M.
Ahmad0000-0001-9933-995X, G. Bauer, C. Dozen80000-0002-4301-634X, Z.
Hu0000-0001-8209-4343, J. Martins90000-0002-2120-2782, Y. Wang, K. Yi10,11
Institute of High Energy Physics, Beijing, China E. Chapon0000-0001-6968-9828,
G.M. Chen70000-0002-2629-5420, H.S. Chen70000-0001-8672-8227, M.
Chen0000-0003-0489-9669, F. Iemmi, A. Kapoor0000-0002-1844-1504, D. Leggat, H.
Liao, Z.-A. Liu70000-0002-2896-1386, V. Milosevic0000-0002-1173-0696, F.
Monti0000-0001-5846-3655, R. Sharma0000-0003-1181-1426, J.
Tao0000-0003-2006-3490, J. Thomas-Wilsker, J. Wang0000-0002-4963-0877, H.
Zhang0000-0001-8843-5209, J. Zhao0000-0001-8365-7726 State Key Laboratory of
Nuclear Physics and Technology, Peking University, Beijing, China A. Agapitos,
Y. An, Y. Ban, C. Chen, A. Levin0000-0001-9565-4186, Q. Li0000-0002-8290-0517,
X. Lyu, Y. Mao, S.J. Qian, D. Wang0000-0002-9013-1199, Q.
Wang0000-0003-1014-8677, J. Xiao Sun Yat-Sen University, Guangzhou, China M.
Lu, Z. You0000-0001-8324-3291 Institute of Modern Physics and Key Laboratory
of Nuclear Physics and Ion-beam Application (MOE) - Fudan University,
Shanghai, China X. Gao3, H. Okawa0000-0002-2548-6567, Y.
Zhang0000-0002-4554-2554 Zhejiang University, Hangzhou, China, Zhejiang, China
Z. Lin0000-0003-1812-3474, M. Xiao0000-0001-9628-9336 Universidad de Los
Andes, Bogota, Colombia C. Avila0000-0002-5610-2693, A.
Cabrera0000-0002-0486-6296, C. Florez0000-0002-3222-0249, J. Fraga Universidad
de Antioquia, Medellin, Colombia J. Mejia Guisao, F. Ramirez, J.D. Ruiz
Alvarez0000-0002-3306-0363, C.A. Salazar González0000-0002-0394-4870
University of Split, Faculty of Electrical Engineering, Mechanical Engineering
and Naval Architecture, Split, Croatia D. Giljanovic, N.
Godinovic0000-0002-4674-9450, D. Lelas0000-0002-8269-5760, I.
Puljak0000-0001-7387-3812 University of Split, Faculty of Science, Split,
Croatia Z. Antunovic, M. Kovac, T. Sculac0000-0002-9578-4105 Institute Rudjer
Boskovic, Zagreb, Croatia V. Brigljevic0000-0001-5847-0062, D.
Ferencek0000-0001-9116-1202, D. Majumder0000-0002-7578-0027, M. Roguljic, A.
Starodumov120000-0001-9570-9255, T. Susa0000-0001-7430-2552 University of
Cyprus, Nicosia, Cyprus A. Attikis0000-0002-4443-3794, K. Christoforou, E.
Erodotou, A. Ioannou, G. Kole0000-0002-3285-1497, M. Kolosova, S.
Konstantinou, J. Mousa0000-0002-2978-2718, C. Nicolaou, F.
Ptochos0000-0002-3432-3452, P.A. Razis, H. Rykaczewski, H.
Saka0000-0001-7616-2573 Charles University, Prague, Czech Republic M.
Finger13, M. Finger Jr.130000-0003-3155-2484, A. Kveton Escuela Politecnica
Nacional, Quito, Ecuador E. Ayala Universidad San Francisco de Quito, Quito,
Ecuador E. Carrera Jarrin0000-0002-0857-8507 Academy of Scientific Research
and Technology of the Arab Republic of Egypt, Egyptian Network of High Energy
Physics, Cairo, Egypt S. Khalil140000-0003-1950-4674, E. Salama15,16 Center
for High Energy Physics (CHEP-FU), Fayoum University, El-Fayoum, Egypt A.
Lotfy0000-0003-4681-0079, M.A. Mahmoud0000-0001-8692-5458 National Institute
of Chemical Physics and Biophysics, Tallinn, Estonia S.
Bhowmik0000-0003-1260-973X, R.K. Dewanjee0000-0001-6645-6244, K. Ehataht, M.
Kadastik, S. Nandan, C. Nielsen, J. Pata, M. Raidal0000-0001-7040-9491, L.
Tani, C. Veelken Department of Physics, University of Helsinki, Helsinki,
Finland P. Eerola0000-0002-3244-0591, L. Forthomme0000-0002-3302-336X, H.
Kirschenmann0000-0001-7369-2536, K. Osterberg0000-0003-4807-0414, M.
Voutilainen0000-0002-5200-6477 Helsinki Institute of Physics, Helsinki,
Finland S. Bharthuar, E. Brücken0000-0001-6066-8756, F.
Garcia0000-0002-4023-7964, J. Havukainen0000-0003-2898-6900, M.S.
Kim0000-0003-0392-8691, R. Kinnunen, T. Lampén, K. Lassila-
Perini0000-0002-5502-1795, S. Lehti0000-0003-1370-5598, T. Lindén, M. Lotti,
L. Martikainen, M. Myllymäki, J. Ott0000-0001-9337-5722, H. Siikonen, E.
Tuominen0000-0002-7073-7767, J. Tuominiemi Lappeenranta University of
Technology, Lappeenranta, Finland P. Luukka0000-0003-2340-4641, H. Petrow, T.
Tuuva IRFU, CEA, Université Paris-Saclay, Gif-sur-Yvette, France C.
Amendola0000-0002-4359-836X, M. Besancon, F. Couderc0000-0003-2040-4099, M.
Dejardin, D. Denegri, J.L. Faure, F. Ferri0000-0002-9860-101X, S. Ganjour, P.
Gras, G. Hamel de Monchenault0000-0002-3872-3592, P. Jarry, B.
Lenzi0000-0002-1024-4004, E. Locci, J. Malcles, J. Rander, A.
Rosowsky0000-0001-7803-6650, M.Ö. Sahin0000-0001-6402-4050, A. Savoy-
Navarro17, M. Titov0000-0002-1119-6614, G.B. Yu0000-0001-7435-2963 Laboratoire
Leprince-Ringuet, CNRS/IN2P3, Ecole Polytechnique, Institut Polytechnique de
Paris, Palaiseau, France S. Ahuja0000-0003-4368-9285, F.
Beaudette0000-0002-1194-8556, M. Bonanomi0000-0003-3629-6264, A. Buchot
Perraguin, P. Busson, A. Cappati, C. Charlot, O. Davignon, B. Diab, G.
Falmagne0000-0002-6762-3937, S. Ghosh, R. Granier de
Cassagnac0000-0002-1275-7292, A. Hakimi, I. Kucher0000-0001-7561-5040, J.
Motta, M. Nguyen0000-0001-7305-7102, C. Ochando0000-0002-3836-1173, P.
Paganini0000-0001-9580-683X, J. Rembser, R. Salerno0000-0003-3735-2707, U.
Sarkar0000-0002-9892-4601, J.B. Sauvan0000-0001-5187-3571, Y.
Sirois0000-0001-5381-4807, A. Tarabini, A. Zabi, A. Zghiche0000-0002-1178-1450
Université de Strasbourg, CNRS, IPHC UMR 7178, Strasbourg, France J.-L.
Agram180000-0001-7476-0158, J. Andrea, D. Apparu, D. Bloch0000-0002-4535-5273,
G. Bourgatte, J.-M. Brom, E.C. Chabert, C. Collard0000-0002-5230-8387, D.
Darej, J.-C. Fontaine18, U. Goerlach, C. Grimault, A.-C. Le Bihan, E.
Nibigira0000-0001-5821-291X, P. Van Hove0000-0002-2431-3381 Institut de
Physique des 2 Infinis de Lyon (IP2I ), Villeurbanne, France E.
Asilar0000-0001-5680-599X, S. Beauceron0000-0002-8036-9267, C.
Bernet0000-0002-9923-8734, G. Boudoul, C. Camen, A. Carle, N.
Chanon0000-0002-2939-5646, D. Contardo, P. Depasse0000-0001-7556-2743, H. El
Mamouni, J. Fay, S. Gascon0000-0002-7204-1624, M.
Gouzevitch0000-0002-5524-880X, B. Ille, I.B. Laktineh, H.
Lattaud0000-0002-8402-3263, A. Lesauvage0000-0003-3437-7845, M.
Lethuillier0000-0001-6185-2045, L. Mirabito, S. Perries, K. Shchablo, V.
Sordini0000-0003-0885-824X, L. Torterotot0000-0002-5349-9242, G. Touquet, M.
Vander Donckt, S. Viret Georgian Technical University, Tbilisi, Georgia I.
Bagaturia19, I. Lomidze, Z. Tsamalaidze13 RWTH Aachen University, I.
Physikalisches Institut, Aachen, Germany V. Botta, L. Feld0000-0001-9813-8646,
K. Klein, M. Lipinski, D. Meuser, A. Pauls, N. Röwert, J. Schulz, M.
Teroerde0000-0002-5892-1377 RWTH Aachen University, III. Physikalisches
Institut A, Aachen, Germany A. Dodonova, D. Eliseev, M.
Erdmann0000-0002-1653-1303, P. Fackeldey0000-0003-4932-7162, B. Fischer, S.
Ghosh0000-0001-6717-0803, T. Hebbeker0000-0002-9736-266X, K. Hoepfner, F.
Ivone, L. Mastrolorenzo, M. Merschmeyer0000-0003-2081-7141, A.
Meyer0000-0001-9598-6623, G. Mocellin, S. Mondal, S.
Mukherjee0000-0001-6341-9982, D. Noll0000-0002-0176-2360, A. Novak, T.
Pook0000-0002-9635-5126, A. Pozdnyakov0000-0003-3478-9081, Y. Rath, H.
Reithler, J. Roemer, A. Schmidt0000-0003-2711-8984, S.C. Schuler, A.
Sharma0000-0002-5295-1460, L. Vigilante, S. Wiedenbeck, S. Zaleski RWTH Aachen
University, III. Physikalisches Institut B, Aachen, Germany C. Dziwok, G.
Flügge, W. Haj Ahmad200000-0003-1491-0446, O. Hlushchenko, T. Kress, A.
Nowack0000-0002-3522-5926, C. Pistone, O. Pooth, D. Roy0000-0002-8659-7762, H.
Sert0000-0003-0716-6727, A. Stahl210000-0002-8369-7506, T.
Ziemons0000-0003-1697-2130, A. Zotz Deutsches Elektronen-Synchrotron, Hamburg,
Germany H. Aarup Petersen, M. Aldaya Martin, P. Asmuss, S. Baxter, M.
Bayatmakou, O. Behnke, A. Bermúdez Martínez, S. Bhattacharya, A.A. Bin
Anuar0000-0002-2988-9830, K. Borras22, D. Brunner, A.
Campbell0000-0003-4439-5748, A. Cardini0000-0003-1803-0999, C. Cheng, F.
Colombina, S. Consuegra Rodríguez0000-0002-1383-1837, G. Correia Silva, V.
Danilov, M. De Silva, L. Didukh, G. Eckerlin, D. Eckstein, L.I. Estevez
Banos0000-0001-6195-3102, O. Filatov0000-0001-9850-6170, E. Gallo23, A.
Geiser, A. Giraldi, A. Grohsjean0000-0003-0748-8494, M. Guthoff, A.
Jafari240000-0001-7327-1870, N.Z. Jomhari0000-0001-9127-7408, H.
Jung0000-0002-2964-9845, A. Kasem220000-0002-6753-7254, M.
Kasemann0000-0002-0429-2448, H. Kaveh0000-0002-3273-5859, C.
Kleinwort0000-0002-9017-9504, D. Krücker0000-0003-1610-8844, W. Lange, J.
Lidrych0000-0003-1439-0196, K. Lipka, W. Lohmann25, R. Mankel, I.-A. Melzer-
Pellmann0000-0001-7707-919X, M. Mendizabal Morentin, J. Metwally, A.B.
Meyer0000-0001-8532-2356, M. Meyer0000-0003-2436-8195, J.
Mnich0000-0001-7242-8426, A. Mussgiller, Y. Otarid, D. Pérez
Adán0000-0003-3416-0726, D. Pitzl, A. Raspereza, B. Ribeiro Lopes, J.
Rübenach, A. Saggio0000-0002-7385-3317, A. Saibel0000-0002-9932-7622, M.
Savitskyi0000-0002-9952-9267, M. Scham26, V. Scheurer, S. Schnake, P. Schütze,
C. Schwanenberger230000-0001-6699-6662, M. Shchedrolosiev, R.E. Sosa
Ricardo0000-0002-2240-6699, D. Stafford, N. Tonon0000-0003-4301-2688, M. Van
De Klundert0000-0001-8596-2812, R. Walsh0000-0002-3872-4114, D. Walter, Y.
Wen0000-0002-8724-9604, K. Wichmann, L. Wiens, C. Wissing, S.
Wuchterl0000-0001-9955-9258 University of Hamburg, Hamburg, Germany R.
Aggleton, S. Albrecht0000-0002-5960-6803, S. Bein0000-0001-9387-7407, L.
Benato0000-0001-5135-7489, P. Connor0000-0003-2500-1061, K. De
Leo0000-0002-8908-409X, M. Eich, F. Feindt, A. Fröhlich, C.
Garbers0000-0001-5094-2256, E. Garutti0000-0003-0634-5539, P. Gunnellini, M.
Hajheidari, J. Haller0000-0001-9347-7657, A. Hinzmann0000-0002-2633-4696, G.
Kasieczka, R. Klanner0000-0002-7004-9227, R. Kogler0000-0002-5336-4399, T.
Kramer, V. Kutzner, J. Lange0000-0001-7513-6330, T. Lange0000-0001-6242-7331,
A. Lobanov0000-0002-5376-0877, A. Malara0000-0001-8645-9282, A. Nigamova, K.J.
Pena Rodriguez, O. Rieger, P. Schleper, M. Schröder0000-0001-8058-9828, J.
Schwandt0000-0002-0052-597X, J. Sonneveld0000-0001-8362-4414, H. Stadie, G.
Steinbrück, A. Tews, I. Zoi0000-0002-5738-9446 Karlsruher Institut fuer
Technologie, Karlsruhe, Germany J. Bechtel0000-0001-5245-7318, S. Brommer, M.
Burkart, E. Butz0000-0002-2403-5801, R. Caspart0000-0002-5502-9412, T.
Chwalek, W. De Boer${}^{\textrm{\textdagger}}$, A. Dierlamm, A. Droll, K. El
Morabit, N. Faltermann0000-0001-6506-3107, M. Giffels, J.o. Gosewisch, A.
Gottmann, F. Hartmann210000-0001-8989-8387, C. Heidecker, U.
Husemann0000-0002-6198-8388, P. Keicher, R. Koppenhöfer, S. Maier, M. Metzler,
S. Mitra0000-0002-3060-2278, Th. Müller, M. Neukum, A. Nürnberg, G.
Quast0000-0002-4021-4260, K. Rabbertz0000-0001-7040-9846, J. Rauser, D.
Savoiu0000-0001-6794-7475, M. Schnepf, D. Seith, I. Shvetsov, H.J. Simonis, R.
Ulrich0000-0002-2535-402X, J. Van Der Linden, R.F. Von Cube, M. Wassmer, M.
Weber0000-0002-3639-2267, S. Wieland, R. Wolf0000-0001-9456-383X, S.
Wozniewski, S. Wunsch Institute of Nuclear and Particle Physics (INPP), NCSR
Demokritos, Aghia Paraskevi, Greece G. Anagnostou, G. Daskalakis, T.
Geralis0000-0001-7188-979X, A. Kyriakis, D. Loukas, A.
Stakia0000-0001-6277-7171 National and Kapodistrian University of Athens,
Athens, Greece M. Diamantopoulou, D. Karasavvas, G. Karathanasis, P.
Kontaxakis0000-0002-4860-5979, C.K. Koraka, A. Manousakis-Katsikakis, A.
Panagiotou, I. Papavergou, N. Saoulidou0000-0001-6958-4196, K.
Theofilatos0000-0001-8448-883X, E. Tziaferi0000-0003-4958-0408, K. Vellidis,
E. Vourliotis National Technical University of Athens, Athens, Greece G.
Bakas, K. Kousouris0000-0002-6360-0869, I. Papakrivopoulos, G. Tsipolitis, A.
Zacharopoulou University of Ioánnina, Ioánnina, Greece K. Adamidis, I.
Bestintzanos, I. Evangelou0000-0002-5903-5481, C. Foudas, P. Gianneios, P.
Katsoulis, P. Kokkas, N. Manthos, I. Papadopoulos0000-0002-9937-3063, J.
Strologas0000-0002-2225-7160 MTA-ELTE Lendület CMS Particle and Nuclear
Physics Group, Eötvös Loránd University, Budapest, Hungary M.
Csanad0000-0002-3154-6925, K. Farkas, M.M.A. Gadallah270000-0002-8305-6661, S.
Lökös280000-0002-4447-4836, P. Major, K. Mandal0000-0002-3966-7182, A.
Mehta0000-0002-0433-4484, G. Pasztor0000-0003-0707-9762, A.J. Rádl, O.
Surányi, G.I. Veres0000-0002-5440-4356 Wigner Research Centre for Physics,
Budapest, Hungary M. Bartók290000-0002-4440-2701, G. Bencze, C.
Hajdu0000-0002-7193-800X, D. Horvath300000-0003-0091-477X, F.
Sikler0000-0001-9608-3901, V. Veszpremi0000-0001-9783-0315 Institute of
Nuclear Research ATOMKI, Debrecen, Hungary S. Czellar, D.
Fasanella0000-0002-2926-2691, J. Karancsi290000-0003-0802-7665, J. Molnar, Z.
Szillasi, D. Teyssier Institute of Physics, University of Debrecen, Debrecen,
Hungary P. Raics, Z.L. Trocsanyi310000-0002-2129-1279, B. Ujvari Karoly Robert
Campus, MATE Institute of Technology, Gyongyos, Hungary T.
Csorgo320000-0002-9110-9663, F. Nemes32, T. Novak Indian Institute of Science
(IISc), Bangalore, India S. Choudhury, J.R. Komaragiri0000-0002-9344-6655, D.
Kumar, L. Panwar0000-0003-2461-4907, P.C. Tiwari0000-0002-3667-3843 National
Institute of Science Education and Research, HBNI, Bhubaneswar, India S.
Bahinipati330000-0002-3744-5332, C. Kar0000-0002-6407-6974, P. Mal, T.
Mishra0000-0002-2121-3932, V.K. Muraleedharan Nair Bindhu34, A.
Nayak340000-0002-7716-4981, P. Saha, N. Sur0000-0001-5233-553X, S.K. Swain, D.
Vats34 Panjab University, Chandigarh, India S. Bansal0000-0003-1992-0336, S.B.
Beri, V. Bhatnagar0000-0002-8392-9610, G. Chaudhary0000-0003-0168-3336, S.
Chauhan0000-0001-6974-4129, N. Dhingra350000-0002-7200-6204, R. Gupta, A.
Kaur, M. Kaur0000-0002-3440-2767, S. Kaur, P. Kumari0000-0002-6623-8586, M.
Meena, K. Sandeep0000-0002-3220-3668, J.B. Singh0000-0001-9029-2462, A.K.
Virdi0000-0002-0866-8932 University of Delhi, Delhi, India A. Ahmed, A.
Bhardwaj0000-0002-7544-3258, B.C. Choudhary0000-0001-5029-1887, M. Gola, S.
Keshri0000-0003-3280-2350, A. Kumar0000-0003-3407-4094, M.
Naimuddin0000-0003-4542-386X, P. Priyanka0000-0002-0933-685X, K. Ranjan, A.
Shah0000-0002-6157-2016 Saha Institute of Nuclear Physics, HBNI, Kolkata,
India M. Bharti36, R. Bhattacharya, S. Bhattacharya0000-0002-8110-4957, D.
Bhowmik, S. Dutta, S. Dutta, B. Gomber370000-0002-4446-0258, M. Maity38, P.
Palit0000-0002-1948-029X, P.K. Rout0000-0001-8149-6180, G. Saha, B.
Sahu0000-0002-8073-5140, S. Sarkar, M. Sharan, B. Singh36, S. Thakur36 Indian
Institute of Technology Madras, Madras, India P.K. Behera0000-0002-1527-2266,
S.C. Behera, P. Kalbhor0000-0002-5892-3743, A. Muhammad, R. Pradhan, P.R.
Pujahari, A. Sharma0000-0002-0688-923X, A.K. Sikdar Bhabha Atomic Research
Centre, Mumbai, India D. Dutta0000-0002-0046-9568, V. Jha, V.
Kumar0000-0001-8694-8326, D.K. Mishra, K. Naskar39, P.K. Netrakanti, L.M.
Pant, P. Shukla0000-0001-8118-5331 Tata Institute of Fundamental Research-A,
Mumbai, India T. Aziz, S. Dugad, M. Kumar Tata Institute of Fundamental
Research-B, Mumbai, India S. Banerjee0000-0002-7953-4683, R. Chudasama, M.
Guchait, S. Karmakar, S. Kumar, G. Majumder, K. Mazumdar, S.
Mukherjee0000-0003-3122-0594 Indian Institute of Science Education and
Research (IISER), Pune, India K. Alpana, S. Dube0000-0002-5145-3777, B.
Kansal, A. Laha, S. Pandey0000-0003-0440-6019, A. Rane0000-0001-8444-2807, A.
Rastogi0000-0003-1245-6710, S. Sharma0000-0001-6886-0726 Isfahan University of
Technology, Isfahan, Iran H. Bakhshiansohi400000-0001-5741-3357, E. Khazaie,
M. Zeinali41 Institute for Research in Fundamental Sciences (IPM), Tehran,
Iran S. Chenarani42, S.M. Etesami0000-0001-6501-4137, M.
Khakzad0000-0002-2212-5715, M. Mohammadi Najafabadi0000-0001-6131-5987
University College Dublin, Dublin, Ireland M. Grunewald0000-0002-5754-0388
INFN Sezione di Bari a, Bari, Italy, Università di Bari b, Bari, Italy,
Politecnico di Bari c, Bari, Italy M. Abbresciaa,b0000-0001-8727-7544, R.
Alya,b,430000-0001-6808-1335, C. Arutaa,b, A. Colaleoa0000-0002-0711-6319, D.
Creanzaa,c0000-0001-6153-3044, N. De Filippisa,c0000-0002-0625-6811, M. De
Palmaa,b0000-0001-8240-1913, A. Di Florioa,b, A. Di
Pilatoa,b0000-0002-9233-3632, W. Elmetenaweea,b0000-0001-7069-0252, L.
Fiorea0000-0002-9470-1320, A. Gelmia,b0000-0002-9211-2709, M.
Gula0000-0002-5704-1896, G. Iasellia,c0000-0003-2546-5341, M.
Incea,b0000-0001-6907-0195, S. Lezkia,b0000-0002-6909-774X, G.
Maggia,c0000-0001-5391-7689, M. Maggia0000-0002-8431-3922, I. Margjekaa,b, V.
Mastrapasquaa,b0000-0002-9082-5924, S. Mya,b0000-0002-9938-2680, S.
Nuzzoa,b0000-0003-1089-6317, A. Pellecchiaa,b, A.
Pompilia,b0000-0003-1291-4005, G. Pugliesea,c0000-0001-5460-2638, D. Ramosa,
A. Ranieria0000-0001-7912-4062, G. Selvaggia,b0000-0003-0093-6741, L.
Silvestrisa0000-0002-8985-4891, F.M. Simonea,b0000-0002-1924-983X, Ü.
Sözbilira, R. Vendittia0000-0001-6925-8649, P. Verwilligena0000-0002-9285-8631
INFN Sezione di Bologna a, Bologna, Italy, Università di Bologna b, Bologna,
Italy G. Abbiendia0000-0003-4499-7562, C. Battilanaa,b0000-0002-3753-3068, D.
Bonacorsia,b0000-0002-0835-9574, L. Borgonovia, L. Brigliadoria, R.
Campaninia,b0000-0002-2744-0597, P. Capiluppia,b0000-0003-4485-1897, A.
Castroa,b0000-0003-2527-0456, F.R. Cavalloa0000-0002-0326-7515, M.
Cuffiania,b0000-0003-2510-5039, G.M. Dallavallea0000-0002-8614-0420, T.
Diotalevia,b0000-0003-0780-8785, F. Fabbria0000-0002-8446-9660, A.
Fanfania,b0000-0003-2256-4117, P. Giacomellia0000-0002-6368-7220, L.
Giommia,b0000-0003-3539-4313, C. Grandia0000-0001-5998-3070, L. Guiduccia,b,
S. Lo Meoa,44, L. Lunertia,b, S. Marcellinia0000-0002-1233-8100, G.
Masettia0000-0002-6377-800X, F.L. Navarriaa,b0000-0001-7961-4889, A.
Perrottaa0000-0002-7996-7139, F. Primaveraa,b0000-0001-6253-8656, A.M.
Rossia,b0000-0002-5973-1305, T. Rovellia,b0000-0002-9746-4842, G.P.
Sirolia,b0000-0002-3528-4125 INFN Sezione di Catania a, Catania, Italy,
Università di Catania b, Catania, Italy S. Albergoa,b,450000-0001-7901-4189,
S. Costaa,b,450000-0001-9919-0569, A. Di Mattiaa0000-0002-9964-015X, R.
Potenzaa,b, A. Tricomia,b,450000-0002-5071-5501, C. Tuvea,b0000-0003-0739-3153
INFN Sezione di Firenze a, Firenze, Italy, Università di Firenze b, Firenze,
Italy G. Barbaglia0000-0002-1738-8676, A. Cassesea0000-0003-3010-4516, R.
Ceccarellia,b, V. Ciullia,b0000-0003-1947-3396, C.
Civininia0000-0002-4952-3799, R. D’Alessandroa,b0000-0001-7997-0306, E.
Focardia,b0000-0002-3763-5267, G. Latinoa,b0000-0002-4098-3502, P.
Lenzia,b0000-0002-6927-8807, M. Lizzoa,b, M. Meschinia0000-0002-9161-3990, S.
Paolettia0000-0003-3592-9509, R. Seiditaa,b, G. Sguazzonia0000-0002-0791-3350,
L. Viliania0000-0002-1909-6343 INFN Laboratori Nazionali di Frascati,
Frascati, Italy L. Benussi0000-0002-2363-8889, S. Bianco0000-0002-8300-4124,
D. Piccolo0000-0001-5404-543X INFN Sezione di Genova a, Genova, Italy,
Università di Genova b, Genova, Italy M. Bozzoa,b0000-0002-1715-0457, F.
Ferroa0000-0002-7663-0805, R. Mulargiaa,b, E. Robuttia0000-0001-9038-4500, S.
Tosia,b0000-0002-7275-9193 INFN Sezione di Milano-Bicocca a, Milano, Italy,
Università di Milano-Bicocca b, Milano, Italy A. Benagliaa0000-0003-1124-8450,
G. Boldrini0000-0001-5490-605X, F. Brivioa,b, F. Cetorellia,b, F. De
Guioa,b0000-0001-5927-8865, M.E. Dinardoa,b0000-0002-8575-7250, P.
Dinia0000-0001-7375-4899, S. Gennaia0000-0001-5269-8517, A.
Ghezzia,b0000-0002-8184-7953, P. Govonia,b0000-0002-0227-1301, L.
Guzzia,b0000-0002-3086-8260, M.T. Lucchinia,b0000-0002-7497-7450, M.
Malbertia, S. Malvezzia0000-0002-0218-4910, A. Massironia0000-0002-0782-0883,
D. Menascea0000-0002-9918-1686, L. Moronia0000-0002-8387-762X, M.
Paganonia,b0000-0003-2461-275X, D. Pedrinia0000-0003-2414-4175, B.S. Pinolini,
S. Ragazzia,b0000-0001-8219-2074, N. Redaellia0000-0002-0098-2716, T.
Tabarelli de Fatisa,b0000-0001-6262-4685, D. Valsecchia,b,21, D.
Zuoloa,b0000-0003-3072-1020 INFN Sezione di Napoli a, Napoli, Italy,
Università di Napoli ’Federico II’ b, Napoli, Italy, Università della
Basilicata c, Potenza, Italy, Università G. Marconi d, Roma, Italy S.
Buontempoa0000-0001-9526-556X, F. Carnevalia,b, N.
Cavalloa,c0000-0003-1327-9058, A. De Iorioa,b0000-0002-9258-1345, F.
Fabozzia,c0000-0001-9821-4151, A.O.M. Iorioa,b0000-0002-3798-1135, L.
Listaa,b0000-0001-6471-5492, S. Meolaa,d,210000-0002-8233-7277, P.
Paoluccia,210000-0002-8773-4781, B. Rossia0000-0002-0807-8772, C.
Sciaccaa,b0000-0002-8412-4072 INFN Sezione di Padova a, Padova, Italy,
Università di Padova b, Padova, Italy, Università di Trento c, Trento, Italy
P. Azzia0000-0002-3129-828X, N. Bacchettaa0000-0002-2205-5737, D.
Biselloa,b0000-0002-2359-8477, P. Bortignona0000-0002-5360-1454, A.
Bragagnoloa,b0000-0003-3474-2099, R. Carlina,b0000-0001-7915-1650, P.
Checchiaa0000-0002-8312-1531, T. Dorigoa0000-0002-1659-8727, U.
Dossellia0000-0001-8086-2863, F. Gasparinia,b0000-0002-1315-563X, U.
Gasparinia,b0000-0002-7253-2669, G. Grosso, S.Y. Hoha,b0000-0003-3233-5123, L.
Layera,46, E. Lusiani0000-0001-8791-7978, M. Margonia,b0000-0003-1797-4330,
A.T. Meneguzzoa,b0000-0002-5861-8140, J. Pazzinia,b0000-0002-1118-6205, P.
Ronchesea,b0000-0001-7002-2051, R. Rossina,b, F.
Simonettoa,b0000-0002-8279-2464, G. Stronga0000-0002-4640-6108, M.
Tosia,b0000-0003-4050-1769, H. Yarara,b, M. Zanettia,b0000-0003-4281-4582, P.
Zottoa,b0000-0003-3953-5996, A. Zucchettaa,b0000-0003-0380-1172, G.
Zumerlea,b0000-0003-3075-2679 INFN Sezione di Pavia a, Pavia, Italy,
Università di Pavia b, Pavia, Italy C. Aime‘a,b, A.
Braghieria0000-0002-9606-5604, S. Calzaferria,b, D.
Fiorinaa,b0000-0002-7104-257X, P. Montagnaa,b, S.P. Rattia,b, V.
Rea0000-0003-0697-3420, C. Riccardia,b0000-0003-0165-3962, P.
Salvinia0000-0001-9207-7256, I. Vaia0000-0003-0037-5032, P.
Vituloa,b0000-0001-9247-7778 INFN Sezione di Perugia a, Perugia, Italy,
Università di Perugia b, Perugia, Italy P. Asenova,470000-0003-2379-9903, G.M.
Bileia0000-0002-4159-9123, D. Ciangottinia,b0000-0002-0843-4108, L.
Fanòa,b0000-0002-9007-629X, P. Laricciaa,b, M. Magherinib, G. Mantovania,b, V.
Mariania,b, M. Menichellia0000-0002-9004-735X, F.
Moscatellia,470000-0002-7676-3106, A. Piccinellia,b0000-0003-0386-0527, M.
Presillaa,b0000-0003-2808-7315, A. Rossia,b0000-0002-2031-2955, A.
Santocchiaa,b0000-0002-9770-2249, D. Spigaa0000-0002-2991-6384, T.
Tedeschia,b0000-0002-7125-2905 INFN Sezione di Pisa a, Pisa, Italy, Università
di Pisa b, Pisa, Italy, Scuola Normale Superiore di Pisa c, Pisa, Italy,
Università di Siena d, Siena, Italy P. Azzurria0000-0002-1717-5654, G.
Bagliesia0000-0003-4298-1620, V. Bertacchia,c0000-0001-9971-1176, L.
Bianchinia0000-0002-6598-6865, T. Boccalia0000-0002-9930-9299, E.
Bossinia,b0000-0002-2303-2588, R. Castaldia0000-0003-0146-845X, M.A.
Cioccia,b0000-0003-0002-5462, V. D’Amantea,d0000-0002-7342-2592, R.
Dell’Orsoa0000-0003-1414-9343, M.R. Di Domenicoa,d0000-0002-7138-7017, S.
Donatoa0000-0001-7646-4977, A. Giassia0000-0001-9428-2296, F.
Ligabuea,c0000-0002-1549-7107, E. Mancaa,c0000-0001-8946-655X, G.
Mandorlia,c0000-0002-5183-9020, D. Matos Figueiredo, A.
Messineoa,b0000-0001-7551-5613, F. Pallaa0000-0002-6361-438X, S. Paroliaa,b,
G. Ramirez-Sancheza,c, A. Rizzia,b0000-0002-4543-2718, G.
Rolandia,c0000-0002-0635-274X, S. Roy Chowdhurya,c, A. Scribanoa, N.
Shafieia,b0000-0002-8243-371X, P. Spagnoloa0000-0001-7962-5203, R.
Tenchinia0000-0003-2574-4383, G. Tonellia,b0000-0003-2606-9156, N.
Turinia,d0000-0002-9395-5230, A. Venturia0000-0002-0249-4142, P.G.
Verdinia0000-0002-0042-9507 INFN Sezione di Roma a, Rome, Italy, Sapienza
Università di Roma b, Rome, Italy P. Barriaa0000-0002-3924-7380, M.
Campanaa,b, F. Cavallaria0000-0002-1061-3877, D. Del Rea,b0000-0003-0870-5796,
E. Di Marcoa0000-0002-5920-2438, M. Diemoza0000-0002-3810-8530, E.
Longoa,b0000-0001-6238-6787, P. Meridiania0000-0002-8480-2259, G.
Organtinia,b0000-0002-3229-0781, F. Pandolfia, R.
Paramattia,b0000-0002-0080-9550, C. Quarantaa,b, S.
Rahatloua,b0000-0001-9794-3360, C. Rovellia0000-0003-2173-7530, F.
Santanastasioa,b0000-0003-2505-8359, L. Soffia0000-0003-2532-9876, R.
Tramontanoa,b INFN Sezione di Torino a, Torino, Italy, Università di Torino b,
Torino, Italy, Università del Piemonte Orientale c, Novara, Italy N.
Amapanea,b0000-0001-9449-2509, R. Arcidiaconoa,c0000-0001-5904-142X, S.
Argiroa,b0000-0003-2150-3750, M. Arneodoa,c0000-0002-7790-7132, N.
Bartosika0000-0002-7196-2237, R. Bellana,b0000-0002-2539-2376, A.
Belloraa,b0000-0002-2753-5473, J. Berenguer Antequeraa,b0000-0003-3153-0891,
C. Biinoa0000-0002-1397-7246, N. Cartigliaa0000-0002-0548-9189, S.
Comettia0000-0001-6621-7606, M. Costaa,b0000-0003-0156-0790, R.
Covarellia,b0000-0003-1216-5235, N. Demariaa0000-0003-0743-9465, B.
Kiania,b0000-0001-6431-5464, F. Leggera0000-0003-1400-0709, C.
Mariottia0000-0002-6864-3294, S. Masellia0000-0001-9871-7859, E.
Migliorea,b0000-0002-2271-5192, E. Monteila,b0000-0002-2350-213X, M.
Montenoa0000-0002-3521-6333, M.M. Obertinoa,b0000-0002-8781-8192, G.
Ortonaa0000-0001-8411-2971, L. Pachera,b0000-0003-1288-4838, N.
Pastronea0000-0001-7291-1979, M. Pelliccionia0000-0003-4728-6678, G.L. Pinna
Angionia,b, M. Ruspaa,c0000-0002-7655-3475, K. Shchelinaa0000-0003-3742-0693,
F. Sivieroa,b0000-0002-4427-4076, V. Solaa0000-0001-6288-951X, A.
Solanoa,b0000-0002-2971-8214, D. Soldia,b0000-0001-9059-4831, A.
Staianoa0000-0003-1803-624X, M. Tornagoa,b, D. Trocinoa0000-0002-2830-5872, A.
Vagnerinia,b INFN Sezione di Trieste a, Trieste, Italy, Università di Trieste
b, Trieste, Italy S. Belfortea0000-0001-8443-4460, V.
Candelisea,b0000-0002-3641-5983, M. Casarsaa0000-0002-1353-8964, F.
Cossuttia0000-0001-5672-214X, A. Da Rolda,b0000-0003-0342-7977, G. Della
Riccaa,b0000-0003-2831-6982, G. Sorrentinoa,b, F.
Vazzolera,b0000-0001-8111-9318 Kyungpook National University, Daegu, Korea S.
Dogra0000-0002-0812-0758, C. Huh0000-0002-8513-2824, B. Kim, D.H.
Kim0000-0002-9023-6847, G.N. Kim0000-0002-3482-9082, J. Kim, J. Lee, S.W.
Lee0000-0002-1028-3468, C.S. Moon0000-0001-8229-7829, Y.D.
Oh0000-0002-7219-9931, S.I. Pak, B.C. Radburn-Smith, S.
Sekmen0000-0003-1726-5681, Y.C. Yang Chonnam National University, Institute
for Universe and Elementary Particles, Kwangju, Korea H.
Kim0000-0001-8019-9387, D.H. Moon0000-0002-5628-9187 Hanyang University,
Seoul, Korea B. Francois0000-0002-2190-9059, T.J. Kim0000-0001-8336-2434, J.
Park0000-0002-4683-6669 Korea University, Seoul, Korea S. Cho, S.
Choi0000-0001-6225-9876, Y. Go, B. Hong0000-0002-2259-9929, K. Lee, K.S.
Lee0000-0002-3680-7039, J. Lim, J. Park, S.K. Park, J. Yoo Kyung Hee
University, Department of Physics, Seoul, Republic of Korea, Seoul, Korea J.
Goh0000-0002-1129-2083, A. Gurtu Sejong University, Seoul, Korea H.S.
Kim0000-0002-6543-9191, Y. Kim Seoul National University, Seoul, Korea J.
Almond, J.H. Bhyun, J. Choi, S. Jeon, J. Kim, J.S. Kim, S. Ko, H. Kwon, H.
Lee0000-0002-1138-3700, S. Lee, B.H. Oh, M. Oh0000-0003-2618-9203, S.B. Oh, H.
Seo0000-0002-3932-0605, U.K. Yang, I. Yoon0000-0002-3491-8026 University of
Seoul, Seoul, Korea W. Jang, D.Y. Kang, Y. Kang, S. Kim, B. Ko, J.S.H.
Lee0000-0002-2153-1519, Y. Lee, J.A. Merlin, I.C. Park, Y. Roh, M.S. Ryu, D.
Song, I.J. Watson0000-0003-2141-3413, S. Yang Yonsei University, Department of
Physics, Seoul, Korea S. Ha, H.D. Yoo Sungkyunkwan University, Suwon, Korea M.
Choi, H. Lee, Y. Lee, I. Yu0000-0003-1567-5548 College of Engineering and
Technology, American University of the Middle East (AUM), Egaila, Kuwait,
Dasman, Kuwait T. Beyrouthy, Y. Maghrbi Riga Technical University, Riga,
Latvia K. Dreimanis0000-0003-0972-5641, V. Veckalns480000-0003-3676-9711
Vilnius University, Vilnius, Lithuania M. Ambrozas, A. Carvalho Antunes De
Oliveira0000-0003-2340-836X, A. Juodagalvis0000-0002-1501-3328, A.
Rinkevicius0000-0002-7510-255X, G. Tamulaitis0000-0002-2913-9634 National
Centre for Particle Physics, Universiti Malaya, Kuala Lumpur, Malaysia N. Bin
Norjoharuddeen0000-0002-8818-7476, W.A.T. Wan Abdullah, M.N. Yusli, Z.
Zolkapli Universidad de Sonora (UNISON), Hermosillo, Mexico J.F.
Benitez0000-0002-2633-6712, A. Castaneda Hernandez0000-0003-4766-1546, M. León
Coello, J.A. Murillo Quijada0000-0003-4933-2092, A. Sehrawat, L. Valencia
Palomo0000-0002-8736-440X Centro de Investigacion y de Estudios Avanzados del
IPN, Mexico City, Mexico G. Ayala, H. Castilla-Valdez, E. De La Cruz-
Burelo0000-0002-7469-6974, I. Heredia-De La Cruz490000-0002-8133-6467, R.
Lopez-Fernandez, C.A. Mondragon Herrera, D.A. Perez Navarro, A. Sánchez
Hernández0000-0001-9548-0358 Universidad Iberoamericana, Mexico City, Mexico
S. Carrillo Moreno, C. Oropeza Barrera0000-0001-9724-0016, F. Vazquez Valencia
Benemerita Universidad Autonoma de Puebla, Puebla, Mexico I. Pedraza, H.A.
Salazar Ibarguen, C. Uribe Estrada University of Montenegro, Podgorica,
Montenegro J. Mijuskovic50, N. Raicevic University of Auckland, Auckland, New
Zealand D. Krofcheck0000-0001-5494-7302 University of Canterbury,
Christchurch, New Zealand P.H. Butler0000-0001-9878-2140, P.
Lujan0000-0001-9284-4574 National Centre for Physics, Quaid-I-Azam University,
Islamabad, Pakistan A. Ahmad, M.I. Asghar, A. Awais, M.I.M. Awan, H.R.
Hoorani, W.A. Khan, M.A. Shah, M. Shoaib0000-0001-6791-8252, M.
Waqas0000-0002-3846-9483 AGH University of Science and Technology Faculty of
Computer Science, Electronics and Telecommunications, Krakow, Poland V. Avati,
L. Grzanka, M. Malawski National Centre for Nuclear Research, Swierk, Poland
H. Bialkowska, M. Bluj0000-0003-1229-1442, B. Boimska0000-0002-4200-1541, M.
Górski, M. Kazana, M. Szleper0000-0002-1697-004X, P. Zalewski Institute of
Experimental Physics, Faculty of Physics, University of Warsaw, Warsaw, Poland
K. Bunkowski, K. Doroba, A. Kalinowski0000-0002-1280-5493, M.
Konecki0000-0001-9482-4841, J. Krolikowski0000-0002-3055-0236 Laboratório de
Instrumentação e Física Experimental de Partículas, Lisboa, Portugal M.
Araujo, P. Bargassa0000-0001-8612-3332, D. Bastos, A.
Boletti0000-0003-3288-7737, P. Faccioli0000-0003-1849-6692, M.
Gallinaro0000-0003-1261-2277, J. Hollar0000-0002-8664-0134, N.
Leonardo0000-0002-9746-4594, T. Niknejad, M. Pisano, J.
Seixas0000-0002-7531-0842, O. Toldaiev0000-0002-8286-8780, J.
Varela0000-0003-2613-3146 Joint Institute for Nuclear Research, Dubna, Russia
S. Afanasiev, D. Budkouski, I. Golutvin, I. Gorbunov0000-0003-3777-6606, V.
Karjavine, V. Korenkov0000-0002-2342-7862, A. Lanev, A. Malakhov, V.
Matveev51,52, V. Palichik, V. Perelygin, M. Savina, D. Seitova, V. Shalaev, S.
Shmatov, S. Shulha, V. Smirnov, O. Teryaev, N. Voytishin, B.S. Yuldashev53, A.
Zarubin, I. Zhizhin Petersburg Nuclear Physics Institute, Gatchina (St.
Petersburg), Russia G. Gavrilov0000-0003-3968-0253, V. Golovtcov, Y. Ivanov,
V. Kim540000-0001-7161-2133, E. Kuznetsova55, V. Murzin, V. Oreshkin, I.
Smirnov, D. Sosnov0000-0002-7452-8380, V. Sulimov, L. Uvarov, S. Volkov, A.
Vorobyev Institute for Nuclear Research, Moscow, Russia Yu.
Andreev0000-0002-7397-9665, A. Dermenev, S. Gninenko0000-0001-6495-7619, N.
Golubev, A. Karneyeu0000-0001-9983-1004, D. Kirpichnikov0000-0002-7177-077X,
M. Kirsanov, N. Krasnikov, A. Pashenkov, G. Pivovarov0000-0001-6435-4463, A.
Toropin Institute for Theoretical and Experimental Physics named by A.I.
Alikhanov of NRC ‘Kurchatov Institute’, Moscow, Russia V. Epshteyn, V.
Gavrilov, N. Lychkovskaya, A. Nikitenko56, V. Popov, A. Stepennov, M. Toms, E.
Vlasov0000-0002-8628-2090, A. Zhokin Moscow Institute of Physics and
Technology, Moscow, Russia T. Aushev National Research Nuclear University
’Moscow Engineering Physics Institute’ (MEPhI), Moscow, Russia O. Bychkova, R.
Chistov570000-0003-1439-8390, M. Danilov580000-0001-9227-5164, A. Oskin, P.
Parygin, S. Polikarpov570000-0001-6839-928X P.N. Lebedev Physical Institute,
Moscow, Russia V. Andreev, M. Azarkin, I. Dremin0000-0001-7451-247X, M.
Kirakosyan, A. Terkulov Skobeltsyn Institute of Nuclear Physics, Lomonosov
Moscow State University, Moscow, Russia A. Belyaev, E.
Boos0000-0002-0193-5073, V. Bunichev, M. Dubinin590000-0002-7766-7175, L.
Dudko0000-0002-4462-3192, A. Ershov, A. Gribushin, V.
Klyukhin0000-0002-8577-6531, O. Kodolova0000-0003-1342-4251, I.
Lokhtin0000-0002-4457-8678, S. Obraztsov, M. Perfilov, V. Savrin Novosibirsk
State University (NSU), Novosibirsk, Russia V. Blinov60, T. Dimova60, L.
Kardapoltsev60, A. Kozyrev60, I. Ovtin60, O. Radchenko60, Y.
Skovpen600000-0002-3316-0604 Institute for High Energy Physics of National
Research Centre ‘Kurchatov Institute’, Protvino, Russia I.
Azhgirey0000-0003-0528-341X, I. Bayshev, D. Elumakhov, V. Kachanov, D.
Konstantinov0000-0001-6673-7273, P. Mandrik0000-0001-5197-046X, V. Petrov, R.
Ryutin, S. Slabospitskii0000-0001-8178-2494, A. Sobol, S.
Troshin0000-0001-5493-1773, N. Tyurin, A. Uzunian, A. Volkov National Research
Tomsk Polytechnic University, Tomsk, Russia A. Babaev, V. Okhotnikov Tomsk
State University, Tomsk, Russia V. Borshch, V. Ivanchenko0000-0002-1844-5433,
E. Tcherniaev0000-0002-3685-0635 University of Belgrade: Faculty of Physics
and VINCA Institute of Nuclear Sciences, Belgrade, Serbia P.
Adzic610000-0002-5862-7397, M. Dordevic0000-0002-8407-3236, P.
Milenovic0000-0001-7132-3550, J. Milosevic0000-0001-8486-4604 Centro de
Investigaciones Energéticas Medioambientales y Tecnológicas (CIEMAT), Madrid,
Spain M. Aguilar-Benitez, J. Alcaraz Maestre0000-0003-0914-7474, A. Álvarez
Fernández, I. Bachiller, M. Barrio Luna, Cristina F.
Bedoya0000-0001-8057-9152, C.A. Carrillo Montoya0000-0002-6245-6535, M.
Cepeda0000-0002-6076-4083, M. Cerrada, N. Colino0000-0002-3656-0259, B. De La
Cruz, A. Delgado Peris0000-0002-8511-7958, J.P. Fernández
Ramos0000-0002-0122-313X, J. Flix0000-0003-2688-8047, M.C.
Fouz0000-0003-2950-976X, O. Gonzalez Lopez0000-0002-4532-6464, S. Goy
Lopez0000-0001-6508-5090, J.M. Hernandez0000-0001-6436-7547, M.I.
Josa0000-0002-4985-6964, J. León Holgado0000-0002-4156-6460, D. Moran, Á.
Navarro Tobar0000-0003-3606-1780, C. Perez Dengra, A. Pérez-Calero
Yzquierdo0000-0003-3036-7965, J. Puerta Pelayo0000-0001-7390-1457, I.
Redondo0000-0003-3737-4121, L. Romero, S. Sánchez Navas, L. Urda
Gómez0000-0002-7865-5010, C. Willmott Universidad Autónoma de Madrid, Madrid,
Spain J.F. de Trocóniz, R. Reyes-Almanza0000-0002-4600-7772 Universidad de
Oviedo, Instituto Universitario de Ciencias y Tecnologías Espaciales de
Asturias (ICTEA), Oviedo, Spain B. Alvarez Gonzalez0000-0001-7767-4810, J.
Cuevas0000-0001-5080-0821, C. Erice0000-0002-6469-3200, J. Fernandez
Menendez0000-0002-5213-3708, S. Folgueras0000-0001-7191-1125, I. Gonzalez
Caballero0000-0002-8087-3199, J.R. González Fernández, E. Palencia
Cortezon0000-0001-8264-0287, C. Ramón Álvarez, V. Rodríguez
Bouza0000-0002-7225-7310, A. Soto Rodríguez, A. Trapote, N.
Trevisani0000-0002-5223-9342, C. Vico Villalba Instituto de Física de
Cantabria (IFCA), CSIC-Universidad de Cantabria, Santander, Spain J.A.
Brochero Cifuentes0000-0003-2093-7856, I.J. Cabrillo, A.
Calderon0000-0002-7205-2040, J. Duarte Campderros0000-0003-0687-5214, M.
Fernandez0000-0002-4824-1087, C. Fernandez Madrazo0000-0001-9748-4336, P.J.
Fernández Manteca0000-0003-2566-7496, A. García Alonso, G. Gomez, C. Martinez
Rivero, P. Martinez Ruiz del Arbol0000-0002-7737-5121, F.
Matorras0000-0003-4295-5668, P. Matorras Cuevas0000-0001-7481-7273, J. Piedra
Gomez0000-0002-9157-1700, C. Prieels, T. Rodrigo0000-0002-4795-195X, A. Ruiz-
Jimeno0000-0002-3639-0368, L. Scodellaro0000-0002-4974-8330, I. Vila, J.M.
Vizan Garcia0000-0002-6823-8854 University of Colombo, Colombo, Sri Lanka M.K.
Jayananda, B. Kailasapathy62, D.U.J. Sonnadara, D.D.C. Wickramarathna
University of Ruhuna, Department of Physics, Matara, Sri Lanka W.G.D.
Dharmaratna0000-0002-6366-837X, K. Liyanage, N. Perera, N. Wickramage CERN,
European Organization for Nuclear Research, Geneva, Switzerland T.K.
Aarrestad0000-0002-7671-243X, D. Abbaneo, J. Alimena0000-0001-6030-3191, E.
Auffray, G. Auzinger, J. Baechler, P. Baillon${}^{\textrm{\textdagger}}$, D.
Barney0000-0002-4927-4921, J. Bendavid, M. Bianco0000-0002-8336-3282, A.
Bocci0000-0002-6515-5666, T. Camporesi, M. Capeans Garrido0000-0001-7727-9175,
G. Cerminara, N. Chernyavskaya0000-0002-2264-2229, S.S.
Chhibra0000-0002-1643-1388, M. Cipriani0000-0002-0151-4439, L.
Cristella0000-0002-4279-1221, D. d’Enterria0000-0002-5754-4303, A.
Dabrowski0000-0003-2570-9676, A. David0000-0001-5854-7699, A. De
Roeck0000-0002-9228-5271, M.M. Defranchis0000-0001-9573-3714, M.
Deile0000-0001-5085-7270, M. Dobson, M. Dünser0000-0002-8502-2297, N. Dupont,
A. Elliott-Peisert, N. Emriskova, F. Fallavollita63, A.
Florent0000-0001-6544-3679, G. Franzoni0000-0001-9179-4253, W. Funk, S. Giani,
D. Gigi, K. Gill, F. Glege, L. Gouskos0000-0002-9547-7471, M.
Haranko0000-0002-9376-9235, J. Hegeman0000-0002-2938-2263, V.
Innocente0000-0003-3209-2088, T. James, P. Janot0000-0001-7339-4272, J.
Kaspar0000-0001-5639-2267, J. Kieseler0000-0003-1644-7678, M.
Komm0000-0002-7669-4294, N. Kratochwil, C. Lange0000-0002-3632-3157, S.
Laurila, P. Lecoq0000-0002-3198-0115, A. Lintuluoto, K.
Long0000-0003-0664-1653, C. Lourenço0000-0003-0885-6711, B. Maier, L.
Malgeri0000-0002-0113-7389, S. Mallios, M. Mannelli, A.C.
Marini0000-0003-2351-0487, F. Meijers, S. Mersi0000-0003-2155-6692, E.
Meschi0000-0003-4502-6151, F. Moortgat0000-0001-7199-0046, M.
Mulders0000-0001-7432-6634, S. Orfanelli, L. Orsini, F.
Pantaleo0000-0003-3266-4357, L. Pape, E. Perez, M. Peruzzi0000-0002-0416-696X,
A. Petrilli, G. Petrucciani0000-0003-0889-4726, A.
Pfeiffer0000-0001-5328-448X, M. Pierini0000-0003-1939-4268, D. Piparo, M.
Pitt0000-0003-2461-5985, H. Qu0000-0002-0250-8655, T. Quast, D.
Rabady0000-0001-9239-0605, A. Racz, G. Reales Gutiérrez, M.
Rieger0000-0003-0797-2606, M. Rovere, H. Sakulin, J. Salfeld-
Nebgen0000-0003-3879-5622, S. Scarfi, C. Schäfer, C. Schwick, M.
Selvaggi0000-0002-5144-9655, A. Sharma, P. Silva0000-0002-5725-041X, W.
Snoeys0000-0003-3541-9066, P. Sphicas640000-0002-5456-5977, S.
Summers0000-0003-4244-2061, K. Tatar0000-0002-6448-0168, V.R.
Tavolaro0000-0003-2518-7521, D. Treille, P. Tropea, A. Tsirou, G.P. Van
Onsem0000-0002-1664-2337, J. Wanczyk65, K.A. Wozniak, W.D. Zeuner Paul
Scherrer Institut, Villigen, Switzerland L. Caminada660000-0001-5677-6033, A.
Ebrahimi0000-0003-4472-867X, W. Erdmann, R. Horisberger, Q. Ingram, H.C.
Kaestli, D. Kotlinski, U. Langenegger, M. Missiroli660000-0002-1780-1344, L.
Noehte66, T. Rohe ETH Zurich - Institute for Particle Physics and Astrophysics
(IPA), Zurich, Switzerland K. Androsov650000-0003-2694-6542, M.
Backhaus0000-0002-5888-2304, P. Berger, A. Calandri0000-0001-7774-0099, A. De
Cosa, G. Dissertori0000-0002-4549-2569, M. Dittmar, M. Donegà, C.
Dorfer0000-0002-2163-442X, F. Eble, K. Gedia, F. Glessgen, T.A. Gómez
Espinosa0000-0002-9443-7769, C. Grab0000-0002-6182-3380, D. Hits, W.
Lustermann, A.-M. Lyon, R.A. Manzoni0000-0002-7584-5038, L.
Marchese0000-0001-6627-8716, C. Martin Perez, M.T. Meinhard, F. Nessi-Tedaldi,
J. Niedziela0000-0002-9514-0799, F. Pauss, V. Perovic, S.
Pigazzini0000-0002-8046-4344, M.G. Ratti0000-0003-1777-7855, M. Reichmann, C.
Reissel, T. Reitenspiess, B. Ristic0000-0002-8610-1130, D. Ruini, D.A. Sanz
Becerra0000-0002-6610-4019, V. Stampf, J. Steggemann650000-0003-4420-5510, R.
Wallny0000-0001-8038-1613, D.H. Zhu Universität Zürich, Zurich, Switzerland C.
Amsler670000-0002-7695-501X, P. Bärtschi, C. Botta0000-0002-8072-795X, D.
Brzhechko, M.F. Canelli0000-0001-6361-2117, K. Cormier, A. De
Wit0000-0002-5291-1661, R. Del Burgo, J.K. Heikkilä0000-0002-0538-1469, M.
Huwiler, W. Jin, A. Jofrehei0000-0002-8992-5426, B.
Kilminster0000-0002-6657-0407, S. Leontsinis0000-0002-7561-6091, S.P. Liechti,
A. Macchiolo0000-0003-0199-6957, P. Meiring, V.M. Mikuni0000-0002-1579-2421,
U. Molinatti, I. Neutelings, A. Reimers, P. Robmann, S. Sanchez
Cruz0000-0002-9991-195X, K. Schweiger0000-0002-5846-3919, M. Senger, Y.
Takahashi0000-0001-5184-2265 National Central University, Chung-Li, Taiwan C.
Adloff68, C.M. Kuo, W. Lin, A. Roy0000-0002-5622-4260, T.
Sarkar380000-0003-0582-4167, S.S. Yu National Taiwan University (NTU), Taipei,
Taiwan L. Ceard, Y. Chao, K.F. Chen0000-0003-1304-3782, P.H.
Chen0000-0002-0468-8805, W.-S. Hou0000-0002-4260-5118, Y.y. Li, R.-S. Lu, E.
Paganis0000-0002-1950-8993, A. Psallidas, A. Steen, H.y. Wu, E.
Yazgan0000-0001-5732-7950, P.r. Yu Chulalongkorn University, Faculty of
Science, Department of Physics, Bangkok, Thailand B.
Asavapibhop0000-0003-1892-7130, C. Asawatangtrakuldee0000-0003-2234-7219, N.
Srimanobhas0000-0003-3563-2959 Çukurova University, Physics Department,
Science and Art Faculty, Adana, Turkey F. Boran0000-0002-3611-390X, S.
Damarseckin69, Z.S. Demiroglu0000-0001-7977-7127, F. Dolek0000-0001-7092-5517,
I. Dumanoglu700000-0002-0039-5503, E. Eskut, Y. Guler710000-0001-7598-5252, E.
Gurpinar Guler710000-0002-6172-0285, C. Isik, O. Kara, A. Kayis Topaksu, U.
Kiminsu0000-0001-6940-7800, G. Onengut, K. Ozdemir72, A. Polatoz, A.E.
Simsek0000-0002-9074-2256, B. Tali73, U.G. Tok0000-0002-3039-021X, S.
Turkcapar, I.S. Zorbakir0000-0002-5962-2221 Middle East Technical University,
Physics Department, Ankara, Turkey B. Isildak74, G. Karapinar, K.
Ocalan750000-0002-8419-1400, M. Yalvac760000-0003-4915-9162 Bogazici
University, Istanbul, Turkey B. Akgun, I.O. Atakisi0000-0002-9231-7464, E.
Gülmez0000-0002-6353-518X, M. Kaya770000-0003-2890-4493, O. Kaya78, Ö.
Özçelik, S. Tekten79, E.A. Yetkin800000-0002-9007-8260 Istanbul Technical
University, Istanbul, Turkey A. Cakir0000-0002-8627-7689, K.
Cankocak700000-0002-3829-3481, Y. Komurcu, S. Sen810000-0001-7325-1087
Istanbul University, Istanbul, Turkey S. Cerci73, I. Hos82, B. Kaynak, S.
Ozkorucuklu, D. Sunar Cerci730000-0002-5412-4688, C. Zorbilmez Institute for
Scintillation Materials of National Academy of Science of Ukraine, Kharkov,
Ukraine B. Grynyov National Scientific Center, Kharkov Institute of Physics
and Technology, Kharkov, Ukraine L. Levchuk0000-0001-5889-7410 University of
Bristol, Bristol, United Kingdom D. Anthony, E. Bhal0000-0003-4494-628X, S.
Bologna, J.J. Brooke0000-0002-6078-3348, A. Bundock0000-0002-2916-6456, E.
Clement0000-0003-3412-4004, D. Cussans0000-0001-8192-0826, H.
Flacher0000-0002-5371-941X, J. Goldstein0000-0003-1591-6014, G.P. Heath, H.F.
Heath0000-0001-6576-9740, L. Kreczko0000-0003-2341-8330, B.
Krikler0000-0001-9712-0030, S. Paramesvaran, S. Seif El Nasr-Storey, V.J.
Smith, N. Stylianou830000-0002-0113-6829, K. Walkingshaw Pass, R. White
Rutherford Appleton Laboratory, Didcot, United Kingdom K.W. Bell, A.
Belyaev840000-0002-1733-4408, C. Brew0000-0001-6595-8365, R.M. Brown, D.J.A.
Cockerill, C. Cooke, K.V. Ellis, K. Harder, S. Harper, M.-L. Holmberg85, J.
Linacre0000-0001-7555-652X, K. Manolopoulos, D.M. Newbold0000-0002-9015-9634,
E. Olaiya, D. Petyt, T. Reis0000-0003-3703-6624, T. Schuh, C.H. Shepherd-
Themistocleous, I.R. Tomalin, T. Williams0000-0002-8724-4678 Imperial College,
London, United Kingdom R. Bainbridge0000-0001-9157-4832, P.
Bloch0000-0001-6716-979X, S. Bonomally, J. Borg0000-0002-7716-7621, S. Breeze,
O. Buchmuller, V. Cepaitis0000-0002-4809-4056, G.S.
Chahal860000-0003-0320-4407, D. Colling, P. Dauncey0000-0001-6839-9466, G.
Davies0000-0001-8668-5001, M. Della Negra0000-0001-6497-8081, S. Fayer, G.
Fedi0000-0001-9101-2573, G. Hall0000-0002-6299-8385, M.H. Hassanshahi, G.
Iles, J. Langford, L. Lyons, A.-M. Magnan, S. Malik, A.
Martelli0000-0003-3530-2255, D.G. Monk, J. Nash870000-0003-0607-6519, M.
Pesaresi, D.M. Raymond, A. Richards, A. Rose, E. Scott0000-0003-0352-6836, C.
Seez, A. Shtipliyski, A. Tapper0000-0003-4543-864X, K. Uchida, T.
Virdee210000-0001-7429-2198, M. Vojinovic0000-0001-8665-2808, N.
Wardle0000-0003-1344-3356, S.N. Webb0000-0003-4749-8814, D. Winterbottom
Brunel University, Uxbridge, United Kingdom K. Coldham, J.E.
Cole0000-0001-5638-7599, A. Khan, P. Kyberd0000-0002-7353-7090, I.D.
Reid0000-0002-9235-779X, L. Teodorescu, S. Zahid0000-0003-2123-3607 Baylor
University, Waco, Texas, USA S. Abdullin0000-0003-4885-6935, A.
Brinkerhoff0000-0002-4853-0401, B. Caraway0000-0002-6088-2020, J.
Dittmann0000-0002-1911-3158, K. Hatakeyama0000-0002-6012-2451, A.R. Kanuganti,
B. McMaster0000-0002-4494-0446, N. Pastika, M. Saunders0000-0003-1572-9075, S.
Sawant, C. Sutantawibul, J. Wilson0000-0002-5672-7394 Catholic University of
America, Washington, DC, USA R. Bartek0000-0002-1686-2882, A.
Dominguez0000-0002-7420-5493, R. Uniyal0000-0001-7345-6293, A.M. Vargas
Hernandez The University of Alabama, Tuscaloosa, Alabama, USA A.
Buccilli0000-0001-6240-8931, S.I. Cooper0000-0002-4618-0313, D. Di
Croce0000-0002-1122-7919, S.V. Gleyzer0000-0002-6222-8102, C.
Henderson0000-0002-6986-9404, C.U. Perez0000-0002-6861-2674, P.
Rumerio880000-0002-1702-5541, C. West0000-0003-4460-2241 Boston University,
Boston, Massachusetts, USA A. Akpinar0000-0001-7510-6617, A.
Albert0000-0003-2369-9507, D. Arcaro0000-0001-9457-8302, C.
Cosby0000-0003-0352-6561, Z. Demiragli0000-0001-8521-737X, E. Fontanesi, D.
Gastler, S. May0000-0002-6351-6122, J. Rohlf0000-0001-6423-9799, K.
Salyer0000-0002-6957-1077, D. Sperka, D. Spitzbart0000-0003-2025-2742, I.
Suarez0000-0002-5374-6995, A. Tsatsos, S. Yuan, D. Zou Brown University,
Providence, Rhode Island, USA G. Benelli0000-0003-4461-8905, B.
Burkle0000-0003-1645-822X, X. Coubez22, D. Cutts0000-0003-1041-7099, M.
Hadley0000-0002-7068-4327, U. Heintz0000-0002-7590-3058, J.M.
Hogan890000-0002-8604-3452, T. KWON, G. Landsberg0000-0002-4184-9380, K.T.
Lau0000-0003-1371-8575, D. Li, M. Lukasik, J. Luo0000-0002-4108-8681, M.
Narain, N. Pervan, S. Sagir900000-0002-2614-5860, F. Simpson, E.
Usai0000-0001-9323-2107, W.Y. Wong, X. Yan0000-0002-6426-0560, D.
Yu0000-0001-5921-5231, W. Zhang University of California, Davis, Davis,
California, USA J. Bonilla0000-0002-6982-6121, C. Brainerd0000-0002-9552-1006,
R. Breedon, M. Calderon De La Barca Sanchez, M. Chertok0000-0002-2729-6273, J.
Conway0000-0003-2719-5779, P.T. Cox, R. Erbacher, G. Haza, F.
Jensen0000-0003-3769-9081, O. Kukral, R. Lander, M.
Mulhearn0000-0003-1145-6436, D. Pellett, B. Regnery0000-0003-1539-923X, D.
Taylor0000-0002-4274-3983, Y. Yao0000-0002-5990-4245, F.
Zhang0000-0002-6158-2468 University of California, Los Angeles, California,
USA M. Bachtis0000-0003-3110-0701, R. Cousins0000-0002-5963-0467, A.
Datta0000-0003-2695-7719, D. Hamilton, J. Hauser0000-0002-9781-4873, M.
Ignatenko, M.A. Iqbal, T. Lam, W.A. Nash, S. Regnard0000-0002-9818-6725, D.
Saltzberg0000-0003-0658-9146, B. Stone, V. Valuev0000-0002-0783-6703
University of California, Riverside, Riverside, California, USA K. Burt, Y.
Chen, R. Clare0000-0003-3293-5305, J.W. Gary0000-0003-0175-5731, M. Gordon, G.
Hanson0000-0002-7273-4009, G. Karapostoli0000-0002-4280-2541, O.R.
Long0000-0002-2180-7634, N. Manganelli, M. Olmedo Negrete, W.
Si0000-0002-5879-6326, S. Wimpenny, Y. Zhang University of California, San
Diego, La Jolla, California, USA J.G. Branson, P. Chang0000-0002-2095-6320, S.
Cittolin, S. Cooperstein0000-0003-0262-3132, N. Deelen0000-0003-4010-7155, D.
Diaz0000-0001-6834-1176, J. Duarte0000-0002-5076-7096, R.
Gerosa0000-0001-8359-3734, L. Giannini0000-0002-5621-7706, J. Guiang, R.
Kansal0000-0003-2445-1060, V. Krutelyov0000-0002-1386-0232, R. Lee, J.
Letts0000-0002-0156-1251, M. Masciovecchio0000-0002-8200-9425, F. Mokhtar, M.
Pieri0000-0003-3303-6301, B.V. Sathia Narayanan0000-0003-2076-5126, V.
Sharma0000-0003-1736-8795, M. Tadel, A. Vartak0000-0003-1507-1365, F.
Würthwein0000-0001-5912-6124, Y. Xiang0000-0003-4112-7457, A.
Yagil0000-0002-6108-4004 University of California, Santa Barbara - Department
of Physics, Santa Barbara, California, USA N. Amin, C.
Campagnari0000-0002-8978-8177, M. Citron0000-0001-6250-8465, A. Dorsett, V.
Dutta0000-0001-5958-829X, J. Incandela0000-0001-9850-2030, M.
Kilpatrick0000-0002-2602-0566, J. Kim0000-0002-2072-6082, B. Marsh, H. Mei, M.
Oshiro, M. Quinnan0000-0003-2902-5597, J. Richman, U.
Sarica0000-0002-1557-4424, F. Setti, J. Sheplock, D. Stuart, S.
Wang0000-0001-7887-1728 California Institute of Technology, Pasadena,
California, USA A. Bornheim0000-0002-0128-0871, O. Cerri, I.
Dutta0000-0003-0953-4503, J.M. Lawhorn0000-0002-8597-9259, N.
Lu0000-0002-2631-6770, J. Mao, H.B. Newman0000-0003-0964-1480, T.Q.
Nguyen0000-0003-3954-5131, M. Spiropulu0000-0001-8172-7081, J.R.
Vlimant0000-0002-9705-101X, C. Wang0000-0002-0117-7196, S.
Xie0000-0003-2509-5731, Z. Zhang0000-0002-1630-0986, R.Y.
Zhu0000-0003-3091-7461 Carnegie Mellon University, Pittsburgh, Pennsylvania,
USA J. Alison0000-0003-0843-1641, S. An0000-0002-9740-1622, M.B. Andrews, P.
Bryant0000-0001-8145-6322, T. Ferguson0000-0001-5822-3731, A. Harilal, C. Liu,
T. Mudholkar0000-0002-9352-8140, M. Paulini0000-0002-6714-5787, A. Sanchez, W.
Terrill University of Colorado Boulder, Boulder, Colorado, USA J.P.
Cumalat0000-0002-6032-5857, W.T. Ford0000-0001-8703-6943, A. Hassani, E.
MacDonald, R. Patel, A. Perloff0000-0001-5230-0396, C. Savard, K.
Stenson0000-0003-4888-205X, K.A. Ulmer0000-0001-6875-9177, S.R.
Wagner0000-0002-9269-5772 Cornell University, Ithaca, New York, USA J.
Alexander0000-0002-2046-342X, S. Bright-Thonney0000-0003-1889-7824, X.
Chen0000-0002-8157-1328, Y. Cheng0000-0002-2602-935X, D.J.
Cranshaw0000-0002-7498-2129, S. Hogan, J. Monroy0000-0002-7394-4710, J.R.
Patterson0000-0002-3815-3649, D. Quach0000-0002-1622-0134, J.
Reichert0000-0003-2110-8021, M. Reid0000-0001-7706-1416, A. Ryd, W.
Sun0000-0003-0649-5086, J. Thom0000-0002-4870-8468, P.
Wittich0000-0002-7401-2181, R. Zou0000-0002-0542-1264 Fermi National
Accelerator Laboratory, Batavia, Illinois, USA M. Albrow0000-0001-7329-4925,
M. Alyari0000-0001-9268-3360, G. Apollinari, A. Apresyan0000-0002-6186-0130,
A. Apyan0000-0002-9418-6656, S. Banerjee, L.A.T. Bauerdick0000-0002-7170-9012,
D. Berry0000-0002-5383-8320, J. Berryhill0000-0002-8124-3033, P.C. Bhat, K.
Burkett0000-0002-2284-4744, J.N. Butler, A. Canepa, G.B.
Cerati0000-0003-3548-0262, H.W.K. Cheung0000-0001-6389-9357, F. Chlebana, K.F.
Di Petrillo0000-0001-8001-4602, V.D. Elvira0000-0003-4446-4395, Y. Feng, J.
Freeman, Z. Gecse, L. Gray, D. Green, S. Grünendahl0000-0002-4857-0294, O.
Gutsche0000-0002-8015-9622, R.M. Harris0000-0003-1461-3425, R. Heller, T.C.
Herwig0000-0002-4280-6382, J. Hirschauer0000-0002-8244-0805, B.
Jayatilaka0000-0001-7912-5612, S. Jindariani, M. Johnson, U. Joshi, T.
Klijnsma0000-0003-1675-6040, B. Klima0000-0002-3691-7625, K.H.M. Kwok, S.
Lammel0000-0003-0027-635X, D. Lincoln0000-0002-0599-7407, R. Lipton, T. Liu,
C. Madrid, K. Maeshima, C. Mantilla0000-0002-0177-5903, D. Mason, P.
McBride0000-0001-6159-7750, P. Merkel, S. Mrenna0000-0001-8731-160X, S.
Nahn0000-0002-8949-0178, J. Ngadiuba0000-0002-0055-2935, V. O’Dell, V.
Papadimitriou, K. Pedro0000-0003-2260-9151, C. Pena590000-0002-4500-7930, O.
Prokofyev, F. Ravera0000-0003-3632-0287, A. Reinsvold Hall0000-0003-1653-8553,
L. Ristori0000-0003-1950-2492, E. Sexton-Kennedy0000-0001-9171-1980, N.
Smith0000-0002-0324-3054, A. Soha0000-0002-5968-1192, W.J.
Spalding0000-0002-7274-9390, L. Spiegel, S. Stoynev0000-0003-4563-7702, J.
Strait0000-0002-7233-8348, L. Taylor0000-0002-6584-2538, S. Tkaczyk, N.V.
Tran0000-0002-8440-6854, L. Uplegger0000-0002-9202-803X, E.W.
Vaandering0000-0003-3207-6950, H.A. Weber0000-0002-5074-0539 University of
Florida, Gainesville, Florida, USA D. Acosta0000-0001-5367-1738, P. Avery, D.
Bourilkov0000-0003-0260-4935, L. Cadamuro0000-0001-8789-610X, V. Cherepanov,
F. Errico0000-0001-8199-370X, R.D. Field, D. Guerrero, B.M.
Joshi0000-0002-4723-0968, M. Kim, E. Koenig, J. Konigsberg0000-0001-6850-8765,
A. Korytov, K.H. Lo, K. Matchev0000-0003-4182-9096, N.
Menendez0000-0002-3295-3194, G. Mitselmakher0000-0001-5745-3658, A.
Muthirakalayil Madhu, N. Rawal, D. Rosenzweig, S. Rosenzweig, J. Rotter, K.
Shi0000-0002-2475-0055, J. Sturdy0000-0002-4484-9431, J.
Wang0000-0003-3879-4873, E. Yigitbasi0000-0002-9595-2623, X. Zuo Florida State
University, Tallahassee, Florida, USA T. Adams0000-0001-8049-5143, A.
Askew0000-0002-7172-1396, R. Habibullah0000-0002-3161-8300, V. Hagopian, K.F.
Johnson, R. Khurana, T. Kolberg0000-0002-0211-6109, G. Martinez, H.
Prosper0000-0002-4077-2713, C. Schiber, O. Viazlo0000-0002-2957-0301, R.
Yohay0000-0002-0124-9065, J. Zhang Florida Institute of Technology, Melbourne,
Florida, USA M.M. Baarmand0000-0002-9792-8619, S. Butalla, T.
Elkafrawy160000-0001-9930-6445, M. Hohlmann0000-0003-4578-9319, R. Kumar
Verma0000-0002-8264-156X, D. Noonan0000-0002-3932-3769, M. Rahmani, F.
Yumiceva0000-0003-2436-5074 University of Illinois at Chicago (UIC), Chicago,
Illinois, USA M.R. Adams, H. Becerril Gonzalez0000-0001-5387-712X, R.
Cavanaugh0000-0001-7169-3420, S. Dittmer, O. Evdokimov0000-0002-1250-8931,
C.E. Gerber0000-0002-8116-9021, D.A. Hangal0000-0002-3826-7232, D.J.
Hofman0000-0002-2449-3845, A.H. Merrit, C. Mills0000-0001-8035-4818, G.
Oh0000-0003-0744-1063, T. Roy, S. Rudrabhatla, M.B. Tonjes0000-0002-2617-9315,
N. Varelas0000-0002-9397-5514, J. Viinikainen0000-0003-2530-4265, X. Wang, Z.
Wu0000-0003-2165-9501, Z. Ye0000-0001-6091-6772 The University of Iowa, Iowa
City, Iowa, USA M. Alhusseini0000-0002-9239-470X, K.
Dilsiz910000-0003-0138-3368, R.P. Gandrajula0000-0001-9053-3182, O.K.
Köseyan0000-0001-9040-3468, J.-P. Merlo, A. Mestvirishvili92, J. Nachtman, H.
Ogul930000-0002-5121-2893, Y. Onel0000-0002-8141-7769, A. Penzo, C. Snyder, E.
Tiras940000-0002-5628-7464 Johns Hopkins University, Baltimore, Maryland, USA
O. Amram0000-0002-3765-3123, B. Blumenfeld0000-0003-1150-1735, L.
Corcodilos0000-0001-6751-3108, J. Davis, M. Eminizer0000-0003-4591-2225, A.V.
Gritsan0000-0002-3545-7970, S. Kyriacou, P. Maksimovic0000-0002-2358-2168, J.
Roskes0000-0001-8761-0490, M. Swartz, T.Á. Vámi0000-0002-0959-9211 The
University of Kansas, Lawrence, Kansas, USA A. Abreu, J. Anguiano, C.
Baldenegro Barrera0000-0002-6033-8885, P. Baringer0000-0002-3691-8388, A.
Bean0000-0001-5967-8674, A. Bylinkin0000-0001-6286-120X, Z. Flowers, T.
Isidori, S. Khalil0000-0001-8630-8046, J. King, G.
Krintiras0000-0002-0380-7577, A. Kropivnitskaya0000-0002-8751-6178, M.
Lazarovits, C. Le Mahieu, C. Lindsey, J. Marquez, N.
Minafra0000-0003-4002-1888, M. Murray0000-0001-7219-4818, M. Nickel, C.
Rogan0000-0002-4166-4503, C. Royon, R. Salvatico0000-0002-2751-0567, S.
Sanders, E. Schmitz, C. Smith0000-0003-0505-0528, J.D. Tapia
Takaki0000-0002-0098-4279, Q. Wang0000-0003-3804-3244, Z. Warner, J.
Williams0000-0002-9810-7097, G. Wilson0000-0003-0917-4763 Kansas State
University, Manhattan, Kansas, USA S. Duric, A. Ivanov0000-0002-9270-5643, K.
Kaadze0000-0003-0571-163X, D. Kim, Y. Maravin0000-0002-9449-0666, T. Mitchell,
A. Modak, K. Nam Lawrence Livermore National Laboratory, Livermore,
California, USA F. Rebassoo, D. Wright University of Maryland, College Park,
Maryland, USA E. Adams, A. Baden, O. Baron, A. Belloni0000-0002-1727-656X,
S.C. Eno0000-0003-4282-2515, N.J. Hadley0000-0002-1209-6471, S.
Jabeen0000-0002-0155-7383, R.G. Kellogg, T. Koeth, A.C. Mignerey, S. Nabili,
C. Palmer0000-0003-0510-141X, M. Seidel0000-0003-3550-6151, A.
Skuja0000-0002-7312-6339, L. Wang, K. Wong0000-0002-9698-1354 Massachusetts
Institute of Technology, Cambridge, Massachusetts, USA D. Abercrombie, G.
Andreassi, R. Bi, W. Busza0000-0002-3831-9071, I.A. Cali, Y.
Chen0000-0003-2582-6469, M. D’Alfonso0000-0002-7409-7904, J. Eysermans, C.
Freer0000-0002-7967-4635, G. Gomez Ceballos, M. Goncharov, P. Harris, M. Hu,
M. Klute0000-0002-0869-5631, D. Kovalskyi0000-0002-6923-293X, J. Krupa, Y.-J.
Lee0000-0003-2593-7767, C. Mironov0000-0002-8599-2437, C.
Paus0000-0002-6047-4211, D. Rankin0000-0001-8411-9620, C.
Roland0000-0002-7312-5854, G. Roland, Z. Shi0000-0001-5498-8825, G.S.F.
Stephans0000-0003-3106-4894, J. Wang, Z. Wang0000-0002-3074-3767, B.
Wyslouch0000-0003-3681-0649 University of Minnesota, Minneapolis, Minnesota,
USA R.M. Chatterjee, A. Evans0000-0002-7427-1079, J. Hiltbrand, Sh.
Jain0000-0003-1770-5309, M. Krohn, Y. Kubota, J. Mans0000-0003-2840-1087, M.
Revering, R. Rusack0000-0002-7633-749X, R. Saradhy, N.
Schroeder0000-0002-8336-6141, N. Strobbe0000-0001-8835-8282, M.A. Wadud
University of Nebraska-Lincoln, Lincoln, Nebraska, USA K.
Bloom0000-0002-4272-8900, M. Bryson, S. Chauhan0000-0002-6544-5794, D.R.
Claes, C. Fangmeier, L. Finco0000-0002-2630-5465, F. Golf0000-0003-3567-9351,
C. Joo, I. Kravchenko0000-0003-0068-0395, M. Musich, I. Reed, J.E. Siado, G.R.
Snow${}^{\textrm{\textdagger}}$, W. Tabb, F. Yan, A.G. Zecchinelli State
University of New York at Buffalo, Buffalo, New York, USA G.
Agarwal0000-0002-2593-5297, H. Bandyopadhyay0000-0001-9726-4915, L.
Hay0000-0002-7086-7641, I. Iashvili0000-0003-1948-5901, A. Kharchilava, C.
McLean0000-0002-7450-4805, D. Nguyen, J. Pekkanen0000-0002-6681-7668, S.
Rappoccio0000-0002-5449-2560, A. Williams0000-0003-4055-6532 Northeastern
University, Boston, Massachusetts, USA G. Alverson0000-0001-6651-1178, E.
Barberis, Y. Haddad0000-0003-4916-7752, A. Hortiangtham, J.
Li0000-0001-5245-2074, G. Madigan, B. Marzocchi0000-0001-6687-6214, D.M.
Morse0000-0003-3163-2169, V. Nguyen, T. Orimoto0000-0002-8388-3341, A. Parker,
L. Skinnari0000-0002-2019-6755, A. Tishelman-Charny, T. Wamorkar, B.
Wang0000-0003-0796-2475, A. Wisecarver, D. Wood0000-0002-6477-801X
Northwestern University, Evanston, Illinois, USA S.
Bhattacharya0000-0002-0526-6161, J. Bueghly, Z. Chen0000-0003-4521-6086, A.