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CMS-PAS-BPH-17-004
Search for τ3μ decays using τ leptons produced in D and B meson decays
Abstract: A search for charged lepton flavor violating decays τ3μ has been performed using proton-proton collisions with a center-of-mass energy of 13 TeV. The analysis uses the data set collected by the CMS detector in 2016, corresponding to an integrated luminosity of 33 fb1, and exploits τ leptons produced in D and B meson decays. No signal is observed, and an upper limit of 8.8×108 is set at the 90% confidence level on the branching fraction of the τ lepton to three muons.
Figures & Tables Summary References CMS Publications
Figures

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Figure 1:
Distributions of trimuon mass resolutions for simulated τ3μ events (solid line) and 3μ sideband data events (dots), passing all selection criteria. The vertical lines at δm/m= 0.007 and 0.01 separate three event categories (A, B, and C) used in the analysis.

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Figure 2:
Trimuon mass distributions for simulated τ3μ events passing all selection criteria and falling into category A (left), category B (center) or category C (right). The solid line is the result of the fit with Crystal-Ball plus Gaussian function.

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Figure 2-a:
Trimuon mass distributions for simulated τ3μ events passing all selection criteria and falling into category A (left), category B (center) or category C (right). The solid line is the result of the fit with Crystal-Ball plus Gaussian function.

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Figure 2-b:
Trimuon mass distributions for simulated τ3μ events passing all selection criteria and falling into category A (left), category B (center) or category C (right). The solid line is the result of the fit with Crystal-Ball plus Gaussian function.

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Figure 2-c:
Trimuon mass distributions for simulated τ3μ events passing all selection criteria and falling into category A (left), category B (center) or category C (right). The solid line is the result of the fit with Crystal-Ball plus Gaussian function.

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Figure 3:
Signal and background distributions for the four observables with the best discriminating power used for the BDT training: (top-left) normalized χ2 of the trimuon vertex fit; (top-right) pointing angle α; (bottom-left) significance of the trimuon vertex 3D displacement; (bottom-right) track kink parameter. All distributions are normalized to unity.

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Figure 3-a:
Signal and background distributions for the four observables with the best discriminating power used for the BDT training: (top-left) normalized χ2 of the trimuon vertex fit; (top-right) pointing angle α; (bottom-left) significance of the trimuon vertex 3D displacement; (bottom-right) track kink parameter. All distributions are normalized to unity.

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Figure 3-b:
Signal and background distributions for the four observables with the best discriminating power used for the BDT training: (top-left) normalized χ2 of the trimuon vertex fit; (top-right) pointing angle α; (bottom-left) significance of the trimuon vertex 3D displacement; (bottom-right) track kink parameter. All distributions are normalized to unity.

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Figure 3-c:
Signal and background distributions for the four observables with the best discriminating power used for the BDT training: (top-left) normalized χ2 of the trimuon vertex fit; (top-right) pointing angle α; (bottom-left) significance of the trimuon vertex 3D displacement; (bottom-right) track kink parameter. All distributions are normalized to unity.

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Figure 3-d:
Signal and background distributions for the four observables with the best discriminating power used for the BDT training: (top-left) normalized χ2 of the trimuon vertex fit; (top-right) pointing angle α; (bottom-left) significance of the trimuon vertex 3D displacement; (bottom-right) track kink parameter. All distributions are normalized to unity.

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Figure 4:
BDT score distributions for signal and background events passing all selection criteria and falling into category A (left) or category C (right). All distributions are normalized to unity. The vertical lines separate subcategories with different signal-to-background ratios. The two subcategories on the right are used in the signal search.

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Figure 4-a:
BDT score distributions for signal and background events passing all selection criteria and falling into category A (left) or category C (right). All distributions are normalized to unity. The vertical lines separate subcategories with different signal-to-background ratios. The two subcategories on the right are used in the signal search.

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Figure 4-b:
BDT score distributions for signal and background events passing all selection criteria and falling into category A (left) or category C (right). All distributions are normalized to unity. The vertical lines separate subcategories with different signal-to-background ratios. The two subcategories on the right are used in the signal search.

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Figure 5:
Trimuon mass distributions in the six independent event categories used in the analysis: A1, A2; B1, B2; C1, C2. The six event categories are defined in the text. Data are shown with points. The background-only fit and the expected signal for B(τ3μ)=107 are shown with lines.

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Figure 5-a:
Trimuon mass distributions in the six independent event categories used in the analysis: A1, A2; B1, B2; C1, C2. The six event categories are defined in the text. Data are shown with points. The background-only fit and the expected signal for B(τ3μ)=107 are shown with lines.

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Figure 5-b:
Trimuon mass distributions in the six independent event categories used in the analysis: A1, A2; B1, B2; C1, C2. The six event categories are defined in the text. Data are shown with points. The background-only fit and the expected signal for B(τ3μ)=107 are shown with lines.

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Figure 5-c:
Trimuon mass distributions in the six independent event categories used in the analysis: A1, A2; B1, B2; C1, C2. The six event categories are defined in the text. Data are shown with points. The background-only fit and the expected signal for B(τ3μ)=107 are shown with lines.

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Figure 5-d:
Trimuon mass distributions in the six independent event categories used in the analysis: A1, A2; B1, B2; C1, C2. The six event categories are defined in the text. Data are shown with points. The background-only fit and the expected signal for B(τ3μ)=107 are shown with lines.

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Figure 5-e:
Trimuon mass distributions in the six independent event categories used in the analysis: A1, A2; B1, B2; C1, C2. The six event categories are defined in the text. Data are shown with points. The background-only fit and the expected signal for B(τ3μ)=107 are shown with lines.

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Figure 5-f:
Trimuon mass distributions in the six independent event categories used in the analysis: A1, A2; B1, B2; C1, C2. The six event categories are defined in the text. Data are shown with points. The background-only fit and the expected signal for B(τ3μ)=107 are shown with lines.

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Figure 6:
The invariant mass distribution for two muons and a pion after applying signal-like kinematic cuts on two muons and a pion, and after requiring that the two muons have opposite signs and their invariant mass is consistent the ϕ meson mass. The two peaks are associated with Ds (1.97 GeV) and D+ (1.87 GeV) decays, and modelled with Crystal-Ball functions, while the background is fitted with an exponential function.

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Figure 7:
Fit prompt and non-prompt Ds contributions to data. The histograms are from Dsϕ(μμ)π MC. The filled histogram is the BDs component, while the opened histogram stacked on the other is the prompt Ds component. They fit to data (sideband subtracted) using the proper decay length (LM/p).

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Figure 8:
S/(S+B)-weighted trimuon mass distribution including events from all the categories used in the analysis. Data are shown with points. The background-only fit and the expected signal for B(τ3μ)=107 are shown with lines.
Tables

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Table 1:
The expected inclusive number of τ leptons produced in D and B meson decays at LHC (13 TeV) for an integrated luminosity of 33 fb1. Numbers are from PYTHIA (without EVTGEN). Charge conjugated states are implied. For comparison, the number of τ leptons produced in W and Z boson decays is 8×108.

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Table 2:
D and B meson decay branching fractions (and their uncertainties) used in this analysis.

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Table 3:
Number of expected signal events, assuming B(τ3μ)=107, and the number of observed events in data at each step of the event selection. Events are counted in the trimuon mass range 1.62-2.00 GeV.

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Table 4:
Sources of systematic uncertainties affecting the signal modeling, and their impacts on the expected signal event yield and trimuon mass distribution shape.

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Table 5:
Signal and data yields for the six event categories in the mass range 1.62-2.00 GeV. The signal yields are shown for B(τ3μ)=107. The data yields inside parentheses are in the mass ranges of 1.78 GeV ± 2σ, where σ is the mass resolution (12 MeV, 19 MeV, and 25 MeV for the category A, B, and C respectively).
Summary
The first search for the charged lepton flavor violating decay τ3μ using the CMS detector has been presented. The analysis uses 33 fb1 of proton-proton collisions collected at a center-of-mass energy of 13 TeV by the CMS detector in 2016. It exploits τ leptons produced in D and B meson decays, which is the main source of τ leptons at the LHC. No excess above the expected background is observed. An upper limit of 8.8×108 is set on the branching fraction B(τ3μ) at 90% confidence level. The corresponding upper limit at 95% confidence level is 1.1×107.
References
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