Search for new heavy resonances decaying to WW WZ ZZ WH or ZH boson pairs in the all-jets final state in proton-proton collisions at sqrts 13 TeV

2025-05-03 0 0 1.65MB 42 页 10玖币
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EUROPEAN ORGANIZATION FOR NUCLEAR RESEARCH (CERN)
CERN-EP-2022-152
2023/07/26
CMS-B2G-20-009
Search for new heavy resonances decaying to WW, WZ,
ZZ, WH, or ZH boson pairs in the all-jets final state in
proton-proton collisions at s=13 TeV
The CMS Collaboration*
Abstract
A search for new heavy resonances decaying to WW, WZ, ZZ, WH, or ZH boson
pairs in the all-jets final state is presented. The analysis is based on proton-proton
collision data recorded by the CMS detector in 2016–2018 at a centre-of-mass energy
of 13 TeV at the CERN LHC, corresponding to an integrated luminosity of 138 fb1.
The search is sensitive to resonances with masses between 1.3 and 6 TeV, decaying
to bosons that are highly Lorentz-boosted such that each of the bosons forms a sin-
gle large-radius jet. Machine learning techniques are employed to identify such jets.
No significant excess over the estimated standard model background is observed. A
maximum local significance of 3.6 standard deviations, corresponding to a global sig-
nificance of 2.3 standard deviations, is observed at masses of 2.1 and 2.9 TeV. In a
heavy vector triplet model, spin-1 Zand Wresonances with masses below 4.8 TeV
are excluded at the 95% confidence level (CL). These limits are the most stringent
to date. In a bulk graviton model, spin-2 gravitons and spin-0 radions with masses
below 1.4 and 2.7 TeV, respectively, are excluded at 95% CL. Production of heavy res-
onances through vector boson fusion is constrained with upper cross section limits at
95% CL as low as 0.1 fb.
Published in Physics Letters B as doi:10.1016/j.physletb.2023.137813.
© 2023 CERN for the benefit of the CMS Collaboration. CC-BY-4.0 license
*See Appendix A for the list of collaboration members
arXiv:2210.00043v2 [hep-ex] 25 Jul 2023
1
1 Introduction
The CERN LHC allows the probing of new phenomena in interactions of elementary parti-
cles at energies of multiple TeV. While the standard model (SM) of particle physics describes
these high-energy interactions very successfully, it leaves several questions unresolved, such
as the nature of dark matter and the origin of the large difference between the electroweak
and Planck scales. Theories beyond the SM that can address these questions introduce new
particles and interactions that could be observed in proton-proton (pp) collisions at the LHC.
A wide range of models predict the production of new heavy resonances decaying to pairs of
W, Z (jointly referred to as V), and Higgs bosons (H). Examples of such resonances are spin-0
radions (Rad) and spin-2 gravitons (Gbulk) in the Randall–Sundrum model with warped extra
dimensions [1–7], and spin-1 vector boson resonances (Wand Z) [8, 9] appearing in composite
Higgs [10–14] and little Higgs [15, 16] models and forming a heavy vector triplet (HVT) [17].
Previous searches by the CMS Collaboration in the VV [18–29] and VH [18, 30–36] channels,
and corresponding searches by the ATLAS Collaboration in the VV [37–45] and VH [46–49]
channels, have not observed significant deviations from the SM. The most stringent lower lim-
its at 95% confidence level (CL) [18, 37] for spin-1 resonances decaying to a WZ (WH) boson
pair exclude masses up to 4.3 (4.0) TeV in the HVT model B [17].
This Letter presents a search in the all-jets final state for new heavy resonances using a pp
collision data set collected by the CMS experiment at a centre-of-mass energy of 13 TeV in 2016–
2018 corresponding to an integrated luminosity of 138 fb1. Resonances decaying to a VV or
VH boson pair with masses between 1.3 and 6 TeV and produced via Drell–Yan (DY), gluon
fusion (ggF), or vector boson fusion (VBF) are targeted. Representative Feynman diagrams for
the aforementioned processes are shown in Fig. 1.
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Gbulk/Rad
W(Z)
W(Z)
g
g
q
q
q
q
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Z0(W0)
Z(W)
H
q
q
q
q
b
b
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Z0(W0)
W
W(Z)
q
q
q
q
q
q
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V
V
Gbulk/Rad
W(Z)
W(Z)
q
q
q
q
q
q
q
q
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V
V
Z0(W0)
H
Z(W)
q
q
q
b
b
q
q
q
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V
V
Z0(W0)
W
W(Z)
q
q
q
q
q
q
q
q
Figure 1: Feynman diagrams of the signal processes ggF or DY produced (upper) and VBF
produced (lower): (left) graviton or radion decaying to WW or ZZ; (center) Zand Wdecaying
to ZH and WH, respectively; (right) Zand Wdecaying to WW and WZ, respectively.
Because of the large Lorentz boost of the H, W, and Z bosons from the resonance decay, each
boson decay is typically clustered as a single large-radius jet. The final state thus consists of
2
two large-radius jets (distance parameter R=0.8) in the case of DY and ggF production, with
two additional small-radius (R=0.4) jets in the case of VBF production. The SM background
estimation and signal extraction procedure is based on a three-dimensional (3D) maximum
likelihood fit to the mass of the two large-radius jet systems and the two individual large-
radius jet masses, as introduced in a previous search by the CMS Collaboration in the VV
channel [19]. The sensitivity to VV and VH resonances is significantly improved compared to
previous searches by categorizing events according to jet tagging algorithms based on machine
learning [50] that analyze the substructure of the large-radius jets to separate jets that originate
from boosted H, W, and Z bosons from other jets. Events are further categorized based on the
presence of additional small-radius jets, enhancing the sensitivity to VBF-produced resonances.
2 The CMS detector and event reconstruction
The central feature of the CMS apparatus is a superconducting solenoid of 6 m internal diame-
ter, providing a magnetic field of 3.8 T. Within the solenoid volume are a silicon pixel and strip
tracker, a lead tungstate crystal electromagnetic calorimeter, and a brass and scintillator hadron
calorimeter, each composed of a barrel and two endcap sections. Forward calorimeters extend
the pseudorapidity coverage provided by the barrel and endcap detectors. Muons are mea-
sured in gas-ionization detectors embedded in the steel flux-return yoke outside the solenoid.
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. [51].
Event reconstruction is based on a particle flow algorithm [52], which reconstructs and iden-
tifies individual particles (photon, electron, muon, charged hadron, neutral hadron) with in-
formation from the various elements of the CMS detector. Jets are reconstructed from these
particles, using the anti-kTjet clustering algorithm [53] with distance parameters of R=0.4
(AK4 jets) and R=0.8 (AK8 jets), as implemented in the FASTJET package [54]. To mitigate the
effect of additional pp interactions within the same or nearby bunch crossings (pileup) on the
reconstructed jet momentum, tracks identified as originating from pileup vertices are discarded
and an offset correction is applied to correct for remaining contributions. Jet energy corrections
are derived from simulation studies. In situ measurements of the momentum balance in dijet,
photon+jet, Z+jets, 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 [55]. Ad-
ditional selection criteria are applied to each jet to remove jet measurements potentially arising
from instrumental effects or reconstruction failures [56].
Events of interest are selected using a two-tiered trigger system [57]. The first level, composed
of custom hardware processors, uses information from the calorimeters and muon detectors
to select events at a rate of around 100 kHz within a fixed time interval of less than 4 µs. 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 1 kHz before data storage. Events are selected online with a variety of different
jet triggers based on the highest jet transverse momentum (pT) or the pTsum of all jets in the
event (HT). For some of these triggers additional requirements on the trimmed jet mass [58] are
applied to allow lower the pTand HTthresholds [19, 25]. The trigger efficiency as a function of
the invariant mass of the two highest pTAK8 jets (mAK8
jj ) is >99% above 1250 GeV for all three
data-taking years, and the subsequent analysis thus requires mAK8
jj to be above this threshold.
3
3 Signal and background simulation
Each signal model is characterized by key parameters. The bulk graviton model is character-
ized by two free parameters: the mass of the first Kaluza–Klein excitation of a spin-2 boson
(the Kaluza–Klein bulk graviton), and the ratio e
κ=κ8π/MPl, with κbeing the unknown
curvature scale of the extra dimension and MPl the Planck mass. A scenario with e
κ=0.5,
resulting in resonances with a width smaller than the detector resolution is considered in this
analysis, as motivated in Ref. [59]. The radion model is also characterized by two parame-
ters: rc, the compactification radius, and ΛR, the ultraviolet cutoff of the theory. The scenario
with κrcπ=35 and ΛR=3 TeV [59] is considered in this analysis. The HVT model is char-
acterized in terms of four parameters: the mass of the Wand Zresonance; a coefficient cF,
which scales the couplings of the additional gauge bosons to fermions; cH, which scales the
couplings to the Higgs boson and longitudinally polarized SM vector bosons; and gV, repre-
senting the typical strength of the new vector boson interaction. Two scenarios are considered
in this analysis: HVT model B, corresponding to gV=3, cH=0.98, and cF=1.02 [17]; and
HVT model C [17], corresponding to gV=1, cH=13, and cF=0. In both scenarios, the
new resonances have a narrow decay width and large branching fraction to vector boson pairs,
while the fermionic couplings are suppressed. In the HVT model C, which has no fermionic
couplings, the resonances would be produced at the LHC exclusively via the VBF mode.
Monte Carlo (MC) simulated events of the radion, bulk graviton, and HVT resonance sig-
nal processes are generated at leading order (LO) in perturbative quantum chromodynamics
(QCD) with MADGRAPH5 aMC@NLO versions 2.4.2 and 2.6.0 [60]. The parton showering and
hadronization is simulated with PYTHIA versions 8.205 and 8.230 [61], for 2016 and 2017–2018
detector conditions, respectively. The NNPDF 3.0 [62] LO parton distribution functions (PDFs)
are used together with the CUETP8M1 [63] and CP5 [64] underlying-event tunes in PYTHIA for
2016 and 2017–2018 conditions, respectively. The signal cross sections are computed at next-to-
LO (NLO) with MADGRAPH5 aMC@NLO with the PDF4LHC15 100 PDF set [62, 65–69].
Simulated event samples of the SM background processes are used to develop the analysis
strategy and create templates for distributions used in the comparison with data. The QCD
multijet production is simulated with three generator configurations: PYTHIA only, the LO
mode of MADGRAPH5 aMC@NLO [70] interfaced with PYTHIA for the parton shower evolution
and matching (MG+PYTHIA8 in the following), and HERWIG++ 2.7.1 [71] with the CUETHS1
tune [63]. Top quark pair (tt), single top quark, and boson pair production are modelled at
NLO with POWHEG v2 [72] interfaced with PYTHIA. The production of W+jets and Z+jets
(V+jets) is simulated at LO with MADGRAPH5 aMC@NLO interfaced with PYTHIA. The same
underlying-event tunes as used in the signal event samples are used in the background event
samples. A correction [73] is applied to the simulated V+jets events to match the pTdistribution
of the vector bosons computed at LO in QCD to the one predicted at NLO in QCD, and another
correction [74] is used to account for NLO electroweak effects at high pT. The NNPDF 3.1 [75]
next-to-NLO (NNLO) PDFs are employed for simulated V+jets events.
All samples are processed through a GEANT4-based [76] simulation of the CMS detector. To
simulate the effect of pileup collisions, additional inelastic events are generated using PYTHIA
and superimposed on the hard-scattering events. The simulated events are weighted to re-
produce the distribution of the number of reconstructed pileup vertices observed in the 2016,
2017, and 2018 data separately. While the detector components and conditions varied across
the three years of data taking, the detector performance relevant to this analysis, in particular
with regard to the mAK8
jj and mAK8
jet scale and resolution, was very similar [77, 78]. We therefore
combine the simulated event samples corresponding to the three years of data taking, weight-
摘要:

EUROPEANORGANIZATIONFORNUCLEARRESEARCH(CERN)CERN-EP-2022-1522023/07/26CMS-B2G-20-009SearchfornewheavyresonancesdecayingtoWW,WZ,ZZ,WH,orZHbosonpairsintheall-jetsfinalstateinproton-protoncollisionsat√s=13TeVTheCMSCollaboration*AbstractAsearchfornewheavyresonancesdecayingtoWW,WZ,ZZ,WH,orZHbosonpairsint...

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