Search for pair production of third-generation leptoquarks decaying into a bottom quark and a $\tau$-lepton with the ATLAS detector
A search for pair-produced scalar or vector leptoquarks decaying into a $b$-quark and a $\tau$-lepton is presented using the full LHC Run 2 (2015-2018) data sample of 139 fb$^{-1}$ collected with the ATLAS detector in proton-proton collisions at a centre-of-mass energy of $\sqrt{s}=13$ TeV. Events in which at least one $\tau$-lepton decays hadronically are considered, and multivariate discriminants are used to extract the signals. No significant deviations from the Standard Model expectation are observed and 95% confidence-level upper limits on the production cross-section are derived as a function of leptoquark mass and branching ratio into the $\tau$-lepton. For scalar leptoquarks, masses below 1490 GeV are excluded assuming a 100% branching ratio, while for vector leptoquarks the corresponding limit is 1690 GeV (1960 GeV) in the minimal-coupling (Yang-Mills) scenario.
2 March 2023
Table 01
The list of generators used for the simulation of the SM background processes. Information is
given on the matrix element (ME) generator (including the perturbative QCD order), the PDF set,
the parton shower (PS) and the underlying event (UE). The perturbative order (in QCD unless
otherwise specified) of the cross-section used to normalise the different samples is also
presented. (S) The tt̄-Wt interference was handled using the diagram removal
scheme. (†) The cross-sections from Sherpa at NLO were used to normalise
the WW,WZ,ZZ and tt̄W/Z events. (ddagger) The qq→ ZH process was normalised to
the NNLO (QCD) + NLO( EW) cross-section for the pp → ZH
process citeCiccolini:2003jy,Brein:2003wg,Ferrera:2011bk,Brein:2011vx,Ferrera:2014lca,Campbell:2016jau,
after subtracting the gg→ ZH contribution.
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Table 02
Summary of the event selections for the τ
lepτ
had and τ
hadτ
had categories. Where two
objects are required, the thresholds on the sub-leading object are given
in parenthesis. Where the selection depends on data-taking period, the
different possible threshold values are separated by commas.
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Table 03
Summary of variables used as inputs to the PNN in the τ
lepτ
had and
τ
hadτ
had categories. The variables are defined in the text.
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pdf (59kB)
Table 04
Post-fit yields for background events, determined from a background-only fit, compared with
the observed number of data events in the τ
lepτ
had and τ
hadτ
had SRs. `Fake τ
had (top)' refers to
top backgrounds where a jet is misidentified as the τ
hadvis of the event. `Other' refers to the
sum of minor backgrounds (vector boson + jets, diboson and Higgs boson); it is primarily composed of
Z→ ττ in association with light-flavour quarks and W → ℓν + jets
events. The total background is not identical to the sum of the individual components since the
latter are rounded for presentation, while the sum is calculated with the full precision before
being subsequently rounded. Systematic uncertainties are included. Due to the large correlations,
individual uncertainties can be significantly larger than the total uncertainty.
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Table 05
Observed and expected lower limits on the LQ mass at 95 CL for the three different LQ
models, assuming cal B = 1.
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Figure 02a
Ranking plots for m
LQ values of (a) 500 GeV, (b) 1100 GeV, and (c) 1400 GeV for the case of a scalar LQ signal. The boxes
illustrate the post-fit impact of the individual uncertainties in the best-fit μ (Δμ/Δμ
tot on the upper x-axis),
while the solid dots and bars indicate the pulls and constraints relative to pre-fit values (indicated in units of σ on the lower
x-axis). Statistical uncertainties and normalisation factors are centred on one, while systematic
uncertainties are centred on zero. Normalization factors are indicated by the open circles and bars.
png (177kB)
pdf (18kB)
Figure 02b
Ranking plots for m
LQ values of (a) 500 GeV, (b) 1100 GeV, and (c) 1400 GeV for the case of a scalar LQ signal. The boxes
illustrate the post-fit impact of the individual uncertainties in the best-fit μ (Δμ/Δμ
tot on the upper x-axis),
while the solid dots and bars indicate the pulls and constraints relative to pre-fit values (indicated in units of σ on the lower
x-axis). Statistical uncertainties and normalisation factors are centred on one, while systematic
uncertainties are centred on zero. Normalization factors are indicated by the open circles and bars.
png (158kB)
pdf (18kB)
Figure 02c
Ranking plots for m
LQ values of (a) 500 GeV, (b) 1100 GeV, and (c) 1400 GeV for the case of a scalar LQ signal. The boxes
illustrate the post-fit impact of the individual uncertainties in the best-fit μ (Δμ/Δμ
tot on the upper x-axis),
while the solid dots and bars indicate the pulls and constraints relative to pre-fit values (indicated in units of σ on the lower
x-axis). Statistical uncertainties and normalisation factors are centred on one, while systematic
uncertainties are centred on zero. Normalization factors are indicated by the open circles and bars.
png (161kB)
pdf (18kB)
Table 01
Cutflow table for τ
lepτ
had channel for scalar LQ for masses of 500, 1100, 1400 GeV, β = 0.5. These are the number of events expected in 139 fb(
-1).
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pdf (47kB)
Table 02
Cutflow table for τ
lepτ
had channel for vector LQ minimal and Yang-Mills coupling scenario for masses of 500, 1100, 1400 GeV, β = 0.5. These are the number of events expected in 139 fb(
-1).
png (43kB)
pdf (47kB)
Table 03
Cutflow table for τ
hadτ
had channel for scalar LQ for masses of 500, 1100, 1400 GeV, β = 0.5. These are the number of events expected in 139 fb(
-1).
png (24kB)
pdf (47kB)
Table 04
Cutflow table for τ
hadτ
had channel for vector LQ minimal and Yang-Mills coupling scenario
for masses of 500, 1100, 1400 GeV, β = 0.5. These are the number of events expected in 139 fb(
-1).
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pdf (48kB)
Table 05
Table of acceptance times efficiency for the τ
lepτ
had channel for the scalar LQ, vector
LQ minimal coupling scenario and vector LQ Yang--Mills coupling scenario at β = 0.5.
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pdf (36kB)
Table 06
Table of acceptance times efficiency for the τ
hadτ
had channel for scalar LQ, vector LQ
minimal coupling scenario and vector LQ Yang--Mills coupling scenario at β = 0.5
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Table 07
95 CL limits for the scalar LQ pair production cross-section (in pb) for expected ± 2σ, expected ± 1σ, expected, and observed for each mass.
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Table 08
95 CL limit for the vector LQ minimal coupling scenario pair production cross-section (in pb) for expected ± 2σ, expected ± 1σ, expected, and observed for each mass.
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pdf (45kB)
Table 09
95 CL limit for the vector LQ Yang--Mills coupling scenario pair production cross-section (in pb) for expected ± 2σ, expected ± 1σ, expected, and observed for each mass.
png (74kB)
pdf (45kB)
Table 10
95 CL limits for scalar LQ pair production branching ratio to bτ for expected
± 2σ, expected ± 1σ, expected, and observed for each
mass. Only limits on branching ratios greater than 0.1 are shown.
png (30kB)
pdf (44kB)
Table 11
95 CL limit for vector LQ minimal scenario pair production branching ratio to bτ
for expected ± 2σ, expected ± 1σ, expected, and observed for
each mass. Only limits on branching ratios greater than 0.1 are shown.
png (26kB)
pdf (44kB)
Table 12
95 CL limit for vector LQ Yang--Mills scenario pair production branching ratio to
bτ for expected ± 2σ, expected ± 1σ, expected, and
observed for each mass. Only limits on branching ratios greater than 0.1 are shown.
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