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Jets created in association with a photon can be used as a calibrated probe to study energy loss in the medium created in nuclear collisions. Measurements of the transverse momentum balance between isolated photons and inclusive jets are presented using integrated luminosities of 0.49 nb$^{-1}$ of Pb+Pb collision data at $\sqrt{s_\mathrm{NN}}=5.02$ TeV and 25 pb$^{-1}$ of $pp$ collision data at $\sqrt{s}=5.02$ TeV recorded with the ATLAS detector at the LHC. Photons with transverse momentum $63.1 < p_\mathrm{T}^{\gamma} < 200$ GeV and $\left|\eta^{\gamma}\right| < 2.37$ are paired inclusively with all jets in the event that have $p_\mathrm{T}^\mathrm{jet} > 31.6$ GeV and pseudorapidity $\left|\eta^\mathrm{jet}\right| < 2.8$. The transverse momentum balance given by the jet-to-photon $p_\mathrm{T}$ ratio, $x_\mathrm{J\gamma}$, is measured for pairs with azimuthal opening angle $\Delta\phi > 7\pi/8$. Distributions of the per-photon jet yield as a function of $x_\mathrm{J\gamma}$, $(1/N_\gamma)(\mathrm{d}N/\mathrm{d}x_\mathrm{J\gamma})$, are corrected for detector effects via a two-dimensional unfolding procedure and reported at the particle level. In $pp$ collisions, the distributions are well described by Monte Carlo event generators. In Pb+Pb collisions, the $x_\mathrm{J\gamma}$ distribution is modified from that observed in $pp$ collisions with increasing centrality, consistent with the picture of parton energy loss in the hot nuclear medium. The data are compared with a suite of energy-loss models and calculations.
Photon-jet pT balance distributions (1/Ng)(dN/dxJg) in pp events (blue, reproduced on all panels) and Pb+Pb events (red) with each panel denoting a different centrality selection. These panels show results with pTg = 63.1-79.6 GeV. Total systematic uncertainties are shown as boxes, while statistical uncertainties are shown with vertical bars.
Photon-jet pT balance distributions (1/Ng)(dN/dxJg) in pp events (blue, reproduced on all panels) and Pb+Pb events (red) with each panel denoting a different centrality selection. These panels show results with pTg = 79.6-100 GeV. Total systematic uncertainties are shown as boxes, while statistical uncertainties are shown with vertical bars.
Photon-jet pT balance distributions (1/Ng)(dN/dxJg) in pp events (blue, reproduced on all panels) and Pb+Pb events (red) with each panel denoting a different centrality selection. These panels show results with pTg = 100-158 GeV. Total systematic uncertainties are shown as boxes, while statistical uncertainties are shown with vertical bars.
Photon-jet pT balance distributions (1/Ng)(dN/dxJg) in pp events (blue, reproduced on all panels) and Pb+Pb events (red) with each panel denoting a different centrality selection. These panels show results with pTg = 158-200 GeV. Total systematic uncertainties are shown as boxes, while statistical uncertainties are shown with vertical bars.
Selected comparisons of the nominal results in pp (blue) and 0-10% Pb+Pb (red) collisions with the central values obtained using a different photon-jet signal definition. Comparison of the nominal results (with DeltaPhi > 7pi/8) with those obtained using DeltaPhi > 3pi/4 for the pTg = 63.1-79.6 GeV range. Boxes indicate total systematic uncertainties, while vertical bars indicate statistical uncertainties.
Selected comparisons of the nominal results in pp (blue) and 0-10% Pb+Pb (red) collisions with the central values obtained using a different photon-jet signal definition. Comparison of the nominal results (inclusive jet selection) with those obtained using a photon-plus-leading-jet selection for the pTg = 100-158 GeV range. Boxes indicate total systematic uncertainties, while vertical bars indicate statistical uncertainties.
Measurements of the azimuthal anisotropy in lead-lead collisions at $\sqrt{s_\mathrm{NN}} = 5.02$ TeV are presented using a data sample corresponding to 0.49 $\mathrm{nb}^{-1}$ integrated luminosity collected by the ATLAS experiment at the LHC in 2015. The recorded minimum-bias sample is enhanced by triggers for "ultra-central" collisions, providing an opportunity to perform detailed study of flow harmonics in the regime where the initial state is dominated by fluctuations. The anisotropy of the charged-particle azimuthal angle distributions is characterized by the Fourier coefficients, $v_{2}-v_{7}$, which are measured using the two-particle correlation, scalar-product and event-plane methods. The goal of the paper is to provide measurements of the differential as well as integrated flow harmonics $v_{n}$ over wide ranges of the transverse momentum, 0.5 $
The V2 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 0-0.1%
The V2 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 0-1%
The V2 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 0-5%
The V2 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 5-10%
The V2 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 10-20%
The V2 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 20-30%
The V2 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 30-40%
The V2 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 40-50%
The V2 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 50-60%
The V2 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 60-70%
The V2 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 70-80%
The V3 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 0-0.1%
The V3 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 0-1%
The V3 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 0-5%
The V3 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 5-10%
The V3 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 10-20%
The V3 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 20-30%
The V3 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 30-40%
The V3 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 40-50%
The V3 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 50-60%
The V3 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 60-70%
The V3 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 70-80%
The V4 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 0-0.1%
The V4 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 0-1%
The V4 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 0-5%
The V4 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 5-10%
The V4 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 10-20%
The V4 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 20-30%
The V4 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 30-40%
The V4 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 40-50%
The V4 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 50-60%
The V4 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 60-70%
The V4 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 70-80%
The V5 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 0-0.1%
The V5 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 0-1%
The V5 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 0-5%
The V5 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 5-10%
The V5 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 10-20%
The V5 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 20-30%
The V5 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 30-40%
The V5 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 40-50%
The V5 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 50-60%
The V5 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 60-70%
The V5 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 70-80%
The V6 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 0-5%
The V6 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 5-10%
The V6 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 10-20%
The V6 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 20-30%
The V6 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 30-40%
The V6 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 40-50%
The V6 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 50-60%
The V6 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 60-70%
The V6 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 70-80%
The V7 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 0-5%
The V7 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 5-10%
The V7 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 10-20%
The V7 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 20-30%
The V7 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 30-40%
The V7 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 40-50%
The V7 harmonic measured with the scalar product method as a funtion of transverse momentum in centrality bin 50-60%
The V2 harmonic measured with the two particle correlation method as a funtion of transverse momentum in centrality bin 0-5%
The V2 harmonic measured with the two particle correlation method as a funtion of transverse momentum in centrality bin 5-10%
The V2 harmonic measured with the two particle correlation method as a funtion of transverse momentum in centrality bin 10-20%
The V2 harmonic measured with the two particle correlation method as a funtion of transverse momentum in centrality bin 20-30%
The V2 harmonic measured with the two particle correlation method as a funtion of transverse momentum in centrality bin 30-40%
The V2 harmonic measured with the two particle correlation method as a funtion of transverse momentum in centrality bin 40-50%
The V2 harmonic measured with the two particle correlation method as a funtion of transverse momentum in centrality bin 50-60%
The V2 harmonic measured with the two particle correlation method as a funtion of transverse momentum in centrality bin 60-70%
The V2 harmonic measured with the two particle correlation method as a funtion of transverse momentum in centrality bin 70-80%
The V3 harmonic measured with the two particle correlation method as a funtion of transverse momentum in centrality bin 0-5%
The V3 harmonic measured with the two particle correlation method as a funtion of transverse momentum in centrality bin 5-10%
The V3 harmonic measured with the two particle correlation method as a funtion of transverse momentum in centrality bin 10-20%
The V3 harmonic measured with the two particle correlation method as a funtion of transverse momentum in centrality bin 20-30%
The V3 harmonic measured with the two particle correlation method as a funtion of transverse momentum in centrality bin 30-40%
The V3 harmonic measured with the two particle correlation method as a funtion of transverse momentum in centrality bin 40-50%
The V3 harmonic measured with the two particle correlation method as a funtion of transverse momentum in centrality bin 50-60%
The V3 harmonic measured with the two particle correlation method as a funtion of transverse momentum in centrality bin 60-70%
The V3 harmonic measured with the two particle correlation method as a funtion of transverse momentum in centrality bin 70-80%
The V4 harmonic measured with the two particle correlation method as a funtion of transverse momentum in centrality bin 0-5%
The V4 harmonic measured with the two particle correlation method as a funtion of transverse momentum in centrality bin 5-10%
The V4 harmonic measured with the two particle correlation method as a funtion of transverse momentum in centrality bin 10-20%
The V4 harmonic measured with the two particle correlation method as a funtion of transverse momentum in centrality bin 20-30%
The V4 harmonic measured with the two particle correlation method as a funtion of transverse momentum in centrality bin 30-40%
The V4 harmonic measured with the two particle correlation method as a funtion of transverse momentum in centrality bin 40-50%
The V4 harmonic measured with the two particle correlation method as a funtion of transverse momentum in centrality bin 50-60%
The V4 harmonic measured with the two particle correlation method as a funtion of transverse momentum in centrality bin 60-70%
The V4 harmonic measured with the two particle correlation method as a funtion of transverse momentum in centrality bin 70-80%
The V5 harmonic measured with the two particle correlation method as a funtion of transverse momentum in centrality bin 0-5%
The V5 harmonic measured with the two particle correlation method as a funtion of transverse momentum in centrality bin 5-10%
The V5 harmonic measured with the two particle correlation method as a funtion of transverse momentum in centrality bin 10-20%
The V5 harmonic measured with the two particle correlation method as a funtion of transverse momentum in centrality bin 20-30%
The V5 harmonic measured with the two particle correlation method as a funtion of transverse momentum in centrality bin 30-40%
The V5 harmonic measured with the two particle correlation method as a funtion of transverse momentum in centrality bin 40-50%
The V5 harmonic measured with the two particle correlation method as a funtion of transverse momentum in centrality bin 50-60%
The V5 harmonic measured with the two particle correlation method as a funtion of transverse momentum in centrality bin 60-70%
The V6 harmonic measured with the two particle correlation method as a funtion of transverse momentum in centrality bin 0-5%
The V6 harmonic measured with the two particle correlation method as a funtion of transverse momentum in centrality bin 5-10%
The V6 harmonic measured with the two particle correlation method as a funtion of transverse momentum in centrality bin 10-20%
The V6 harmonic measured with the two particle correlation method as a funtion of transverse momentum in centrality bin 20-30%
The V6 harmonic measured with the two particle correlation method as a funtion of transverse momentum in centrality bin 30-40%
The V6 harmonic measured with the two particle correlation method as a funtion of transverse momentum in centrality bin 40-50%
The V6 harmonic measured with the two particle correlation method as a funtion of transverse momentum in centrality bin 50-60%
The V6 harmonic measured with the two particle correlation method as a funtion of transverse momentum in centrality bin 60-70%
The ratio of V2{SP} over V2{EP} as a funtion of transverse momentum in centrality bin 0-5%
The ratio of V2{SP} over V2{EP} as a funtion of transverse momentum in centrality bin 20-30%
The ratio of V2{SP} over V2{EP} as a funtion of transverse momentum in centrality bin 40-50%
The ratio of V3{SP} over V3{EP} as a funtion of transverse momentum in centrality bin 0-5%
The ratio of V3{SP} over V3{EP} as a funtion of transverse momentum in centrality bin 20-30%
The ratio of V3{SP} over V3{EP} as a funtion of transverse momentum in centrality bin 40-50%
The ratio of V4{SP} over V4{EP} as a funtion of transverse momentum in centrality bin 0-5%
The ratio of V4{SP} over V4{EP} as a funtion of transverse momentum in centrality bin 20-30%
The ratio of V4{SP} over V4{EP} as a funtion of transverse momentum in centrality bin 40-50%
The ratio of V5{SP} over V5{EP} as a funtion of transverse momentum in centrality bin 0-5%
The ratio of V5{SP} over V5{EP} as a funtion of transverse momentum in centrality bin 20-30%
The ratio of V5{SP} over V5{EP} as a funtion of transverse momentum in centrality bin 40-50%
The ratio of V6{SP} over V6{EP} as a funtion of transverse momentum in centrality bin 0-5%
The ratio of V6{SP} over V6{EP} as a funtion of transverse momentum in centrality bin 20-30%
The ratio of V6{SP} over V6{EP} as a funtion of transverse momentum in centrality bin 40-50%
The ratio of V2{SP} over V2{EP} as a funtion of MEAN(Npart) integrated over 0.5 < PT < 60 GeV
The ratio of V3{SP} over V3{EP} as a funtion of MEAN(Npart) integrated over 0.5 < PT < 60 GeV
The ratio of V4{SP} over V4{EP} as a funtion of MEAN(Npart) integrated over 0.5 < PT < 60 GeV
The ratio of V5{SP} over V5{EP} as a funtion of MEAN(Npart) integrated over 0.5 < PT < 60 GeV
The ratio of V6{SP} over V6{EP} as a funtion of MEAN(Npart) integrated over 0.5 < PT < 60 GeV
The ratio of V2{SP} over V2{2PC} as a funtion of transverse momentum in centrality bin 0-5%
The ratio of V2{SP} over V2{2PC} as a funtion of transverse momentum in centrality bin 20-30%
The ratio of V2{SP} over V2{2PC} as a funtion of transverse momentum in centrality bin 40-50%
The ratio of V3{SP} over V3{2PC} as a funtion of transverse momentum in centrality bin 0-5%
The ratio of V3{SP} over V3{2PC} as a funtion of transverse momentum in centrality bin 20-30%
The ratio of V3{SP} over V3{2PC} as a funtion of transverse momentum in centrality bin 40-50%
The ratio of V4{SP} over V4{2PC} as a funtion of transverse momentum in centrality bin 0-5%
The ratio of V4{SP} over V4{2PC} as a funtion of transverse momentum in centrality bin 20-30%
The ratio of V4{SP} over V4{2PC} as a funtion of transverse momentum in centrality bin 40-50%
The ratio of V5{SP} over V5{2PC} as a funtion of transverse momentum in centrality bin 0-5%
The ratio of V5{SP} over V5{2PC} as a funtion of transverse momentum in centrality bin 20-30%
The ratio of V5{SP} over V5{2PC} as a funtion of transverse momentum in centrality bin 40-50%
The V2 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 0-5%. PT binning matched to RUN1.
The V2 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 20-30%. PT binning matched to RUN1.
The V2 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 40-50%. PT binning matched to RUN1.
The V3 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 0-5%. PT binning matched to RUN1.
The V3 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 20-30%. PT binning matched to RUN1.
The V3 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 40-50%. PT binning matched to RUN1.
The V4 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 0-5%. PT binning matched to RUN1.
The V4 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 20-30%. PT binning matched to RUN1.
The V4 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 40-50%. PT binning matched to RUN1.
The V5 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 0-5%. PT binning matched to RUN1.
The V5 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 20-30%. PT binning matched to RUN1.
The V5 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 40-50%. PT binning matched to RUN1.
The V6 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 0-5%. PT binning matched to RUN1.
The V6 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 20-30%. PT binning matched to RUN1.
The V6 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 40-50%. PT binning matched to RUN1.
The V2 harmonic measured with the scalar product method as a funtion of pseudorapidity for transverse momentum range 0.8 < PT < 1 GeV in centrality bin 0-0.1%
The V2 harmonic measured with the scalar product method as a funtion of pseudorapidity for transverse momentum range 0.8 < PT < 1 GeV in centrality bin 0-5%
The V2 harmonic measured with the scalar product method as a funtion of pseudorapidity for transverse momentum range 0.8 < PT < 1 GeV in centrality bin 10-20%
The V2 harmonic measured with the scalar product method as a funtion of pseudorapidity for transverse momentum range 0.8 < PT < 1 GeV in centrality bin 30-40%
The V2 harmonic measured with the scalar product method as a funtion of pseudorapidity for transverse momentum range 0.8 < PT < 1 GeV in centrality bin 60-70%
The V3 harmonic measured with the scalar product method as a funtion of pseudorapidity for transverse momentum range 0.8 < PT < 1 GeV in centrality bin 0-0.1%
The V3 harmonic measured with the scalar product method as a funtion of pseudorapidity for transverse momentum range 0.8 < PT < 1 GeV in centrality bin 0-5%
The V3 harmonic measured with the scalar product method as a funtion of pseudorapidity for transverse momentum range 0.8 < PT < 1 GeV in centrality bin 10-20%
The V3 harmonic measured with the scalar product method as a funtion of pseudorapidity for transverse momentum range 0.8 < PT < 1 GeV in centrality bin 30-40%
The V3 harmonic measured with the scalar product method as a funtion of pseudorapidity for transverse momentum range 0.8 < PT < 1 GeV in centrality bin 60-70%
The V4 harmonic measured with the scalar product method as a funtion of pseudorapidity for transverse momentum range 0.8 < PT < 1 GeV in centrality bin 0-0.1%
The V4 harmonic measured with the scalar product method as a funtion of pseudorapidity for transverse momentum range 0.8 < PT < 1 GeV in centrality bin 0-5%
The V4 harmonic measured with the scalar product method as a funtion of pseudorapidity for transverse momentum range 0.8 < PT < 1 GeV in centrality bin 10-20%
The V4 harmonic measured with the scalar product method as a funtion of pseudorapidity for transverse momentum range 0.8 < PT < 1 GeV in centrality bin 30-40%
The V4 harmonic measured with the scalar product method as a funtion of pseudorapidity for transverse momentum range 0.8 < PT < 1 GeV in centrality bin 60-70%
The V5 harmonic measured with the scalar product method as a funtion of pseudorapidity for transverse momentum range 0.8 < PT < 1 GeV in centrality bin 0-0.1%
The V5 harmonic measured with the scalar product method as a funtion of pseudorapidity for transverse momentum range 0.8 < PT < 1 GeV in centrality bin 0-5%
The V5 harmonic measured with the scalar product method as a funtion of pseudorapidity for transverse momentum range 0.8 < PT < 1 GeV in centrality bin 10-20%
The V5 harmonic measured with the scalar product method as a funtion of pseudorapidity for transverse momentum range 0.8 < PT < 1 GeV in centrality bin 30-40%
The V5 harmonic measured with the scalar product method as a funtion of pseudorapidity for transverse momentum range 0.8 < PT < 1 GeV in centrality bin 60-70%
The V6 harmonic measured with the scalar product method as a funtion of pseudorapidity for transverse momentum range 0.8 < PT < 1 GeV in centrality bin 0-5%
The V6 harmonic measured with the scalar product method as a funtion of pseudorapidity for transverse momentum range 0.8 < PT < 1 GeV in centrality bin 10-20%
The V6 harmonic measured with the scalar product method as a funtion of pseudorapidity for transverse momentum range 0.8 < PT < 1 GeV in centrality bin 30-40%
The V6 harmonic measured with the scalar product method as a funtion of pseudorapidity for transverse momentum range 0.8 < PT < 1 GeV in centrality bin 60-70%
The V7 harmonic measured with the scalar product method as a funtion of pseudorapidity for transverse momentum range 0.8 < PT < 1 GeV in centrality bin 0-5%
The V7 harmonic measured with the scalar product method as a funtion of pseudorapidity for transverse momentum range 0.8 < PT < 1 GeV in centrality bin 10-20%
The V7 harmonic measured with the scalar product method as a funtion of pseudorapidity for transverse momentum range 0.8 < PT < 1 GeV in centrality bin 30-40%
The V2 harmonic measured with the scalar product method as a funtion of pseudorapidity for transverse momentum range 2 < PT < 3 GeV in centrality bin 0-0.1%
The V2 harmonic measured with the scalar product method as a funtion of pseudorapidity for transverse momentum range 2 < PT < 3 GeV in centrality bin 0-5%
The V2 harmonic measured with the scalar product method as a funtion of pseudorapidity for transverse momentum range 2 < PT < 3 GeV in centrality bin 10-20%
The V2 harmonic measured with the scalar product method as a funtion of pseudorapidity for transverse momentum range 2 < PT < 3 GeV in centrality bin 30-40%
The V2 harmonic measured with the scalar product method as a funtion of pseudorapidity for transverse momentum range 2 < PT < 3 GeV in centrality bin 60-70%
The V3 harmonic measured with the scalar product method as a funtion of pseudorapidity for transverse momentum range 2 < PT < 3 GeV in centrality bin 0-0.1%
The V3 harmonic measured with the scalar product method as a funtion of pseudorapidity for transverse momentum range 2 < PT < 3 GeV in centrality bin 0-5%
The V3 harmonic measured with the scalar product method as a funtion of pseudorapidity for transverse momentum range 2 < PT < 3 GeV in centrality bin 10-20%
The V3 harmonic measured with the scalar product method as a funtion of pseudorapidity for transverse momentum range 2 < PT < 3 GeV in centrality bin 30-40%
The V3 harmonic measured with the scalar product method as a funtion of pseudorapidity for transverse momentum range 2 < PT < 3 GeV in centrality bin 60-70%
The V4 harmonic measured with the scalar product method as a funtion of pseudorapidity for transverse momentum range 2 < PT < 3 GeV in centrality bin 0-0.1%
The V4 harmonic measured with the scalar product method as a funtion of pseudorapidity for transverse momentum range 2 < PT < 3 GeV in centrality bin 0-5%
The V4 harmonic measured with the scalar product method as a funtion of pseudorapidity for transverse momentum range 2 < PT < 3 GeV in centrality bin 10-20%
The V4 harmonic measured with the scalar product method as a funtion of pseudorapidity for transverse momentum range 2 < PT < 3 GeV in centrality bin 30-40%
The V4 harmonic measured with the scalar product method as a funtion of pseudorapidity for transverse momentum range 2 < PT < 3 GeV in centrality bin 60-70%
The V5 harmonic measured with the scalar product method as a funtion of pseudorapidity for transverse momentum range 2 < PT < 3 GeV in centrality bin 0-0.1%
The V5 harmonic measured with the scalar product method as a funtion of pseudorapidity for transverse momentum range 2 < PT < 3 GeV in centrality bin 0-5%
The V5 harmonic measured with the scalar product method as a funtion of pseudorapidity for transverse momentum range 2 < PT < 3 GeV in centrality bin 10-20%
The V5 harmonic measured with the scalar product method as a funtion of pseudorapidity for transverse momentum range 2 < PT < 3 GeV in centrality bin 30-40%
The V5 harmonic measured with the scalar product method as a funtion of pseudorapidity for transverse momentum range 2 < PT < 3 GeV in centrality bin 60-70%
The V6 harmonic measured with the scalar product method as a funtion of pseudorapidity for transverse momentum range 2 < PT < 3 GeV in centrality bin 0-5%
The V6 harmonic measured with the scalar product method as a funtion of pseudorapidity for transverse momentum range 2 < PT < 3 GeV in centrality bin 10-20%
The V6 harmonic measured with the scalar product method as a funtion of pseudorapidity for transverse momentum range 2 < PT < 3 GeV in centrality bin 30-40%
The V6 harmonic measured with the scalar product method as a funtion of pseudorapidity for transverse momentum range 2 < PT < 3 GeV in centrality bin 60-70%
The V7 harmonic measured with the scalar product method as a funtion of pseudorapidity for transverse momentum range 2 < PT < 3 GeV in centrality bin 0-5%
The V7 harmonic measured with the scalar product method as a funtion of pseudorapidity for transverse momentum range 2 < PT < 3 GeV in centrality bin 10-20%
The V7 harmonic measured with the scalar product method as a funtion of pseudorapidity for transverse momentum range 2 < PT < 3 GeV in centrality bin 30-40%
The V2 harmonic measured with the scalar product method as a funtion of pseudorapidity for transverse momentum range 7 < PT < 60 GeV in centrality bin 0-0.1%
The V2 harmonic measured with the scalar product method as a funtion of pseudorapidity for transverse momentum range 7 < PT < 60 GeV in centrality bin 0-5%
The V2 harmonic measured with the scalar product method as a funtion of pseudorapidity for transverse momentum range 7 < PT < 60 GeV in centrality bin 10-20%
The V2 harmonic measured with the scalar product method as a funtion of pseudorapidity for transverse momentum range 7 < PT < 60 GeV in centrality bin 30-40%
The V2 harmonic measured with the scalar product method as a funtion of pseudorapidity for transverse momentum range 7 < PT < 60 GeV in centrality bin 60-70%
The V3 harmonic measured with the scalar product method as a funtion of pseudorapidity for transverse momentum range 7 < PT < 60 GeV in centrality bin 0-0.1%
The V3 harmonic measured with the scalar product method as a funtion of pseudorapidity for transverse momentum range 7 < PT < 60 GeV in centrality bin 0-5%
The V3 harmonic measured with the scalar product method as a funtion of pseudorapidity for transverse momentum range 7 < PT < 60 GeV in centrality bin 10-20%
The V3 harmonic measured with the scalar product method as a funtion of pseudorapidity for transverse momentum range 7 < PT < 60 GeV in centrality bin 30-40%
The V4 harmonic measured with the scalar product method as a funtion of pseudorapidity for transverse momentum range 7 < PT < 60 GeV in centrality bin 0-0.1%
The V4 harmonic measured with the scalar product method as a funtion of pseudorapidity for transverse momentum range 7 < PT < 60 GeV in centrality bin 0-5%
The V4 harmonic measured with the scalar product method as a funtion of pseudorapidity for transverse momentum range 7 < PT < 60 GeV in centrality bin 10-20%
The V4 harmonic measured with the scalar product method as a funtion of pseudorapidity for transverse momentum range 7 < PT < 60 GeV in centrality bin 30-40%
The V2 harmonic measured with the scalar product method as a funtion of MEAN(Npart) integrated over 0.5 < PT < 0.8 GeV
The V2 harmonic measured with the scalar product method as a funtion of MEAN(Npart) integrated over 0.8 < PT < 1 GeV
The V2 harmonic measured with the scalar product method as a funtion of MEAN(Npart) integrated over 1 < PT < 2 GeV
The V2 harmonic measured with the scalar product method as a funtion of MEAN(Npart) integrated over 2 < PT < 4 GeV
The V2 harmonic measured with the scalar product method as a funtion of MEAN(Npart) integrated over 4 < PT < 8 GeV
The V2 harmonic measured with the scalar product method as a funtion of MEAN(Npart) integrated over 8 < PT < 60 GeV
The V2 harmonic measured with the scalar product method as a funtion of MEAN(Npart) integrated over 0.5 < PT < 60 GeV
The V3 harmonic measured with the scalar product method as a funtion of MEAN(Npart) integrated over 0.5 < PT < 0.8 GeV
The V3 harmonic measured with the scalar product method as a funtion of MEAN(Npart) integrated over 0.8 < PT < 1 GeV
The V3 harmonic measured with the scalar product method as a funtion of MEAN(Npart) integrated over 1 < PT < 2 GeV
The V3 harmonic measured with the scalar product method as a funtion of MEAN(Npart) integrated over 2 < PT < 4 GeV
The V3 harmonic measured with the scalar product method as a funtion of MEAN(Npart) integrated over 4 < PT < 8 GeV
The V3 harmonic measured with the scalar product method as a funtion of MEAN(Npart) integrated over 8 < PT < 60 GeV
The V3 harmonic measured with the scalar product method as a funtion of MEAN(Npart) integrated over 0.5 < PT < 60 GeV
The V4 harmonic measured with the scalar product method as a funtion of MEAN(Npart) integrated over 0.5 < PT < 0.8 GeV
The V4 harmonic measured with the scalar product method as a funtion of MEAN(Npart) integrated over 0.8 < PT < 1 GeV
The V4 harmonic measured with the scalar product method as a funtion of MEAN(Npart) integrated over 1 < PT < 2 GeV
The V4 harmonic measured with the scalar product method as a funtion of MEAN(Npart) integrated over 2 < PT < 4 GeV
The V4 harmonic measured with the scalar product method as a funtion of MEAN(Npart) integrated over 4 < PT < 8 GeV
The V4 harmonic measured with the scalar product method as a funtion of MEAN(Npart) integrated over 8 < PT < 60 GeV
The V4 harmonic measured with the scalar product method as a funtion of MEAN(Npart) integrated over 0.5 < PT < 60 GeV
The V5 harmonic measured with the scalar product method as a funtion of MEAN(Npart) integrated over 0.5 < PT < 0.8 GeV
The V5 harmonic measured with the scalar product method as a funtion of MEAN(Npart) integrated over 0.8 < PT < 1 GeV
The V5 harmonic measured with the scalar product method as a funtion of MEAN(Npart) integrated over 1 < PT < 2 GeV
The V5 harmonic measured with the scalar product method as a funtion of MEAN(Npart) integrated over 2 < PT < 4 GeV
The V5 harmonic measured with the scalar product method as a funtion of MEAN(Npart) integrated over 4 < PT < 8 GeV
The V5 harmonic measured with the scalar product method as a funtion of MEAN(Npart) integrated over 8 < PT < 60 GeV
The V5 harmonic measured with the scalar product method as a funtion of MEAN(Npart) integrated over 0.5 < PT < 60 GeV
The V6 harmonic measured with the scalar product method as a funtion of MEAN(Npart) integrated over 0.5 < PT < 0.8 GeV
The V6 harmonic measured with the scalar product method as a funtion of MEAN(Npart) integrated over 0.8 < PT < 1 GeV
The V6 harmonic measured with the scalar product method as a funtion of MEAN(Npart) integrated over 1 < PT < 2 GeV
The V6 harmonic measured with the scalar product method as a funtion of MEAN(Npart) integrated over 2 < PT < 4 GeV
The V6 harmonic measured with the scalar product method as a funtion of MEAN(Npart) integrated over 4 < PT < 8 GeV
The V6 harmonic measured with the scalar product method as a funtion of MEAN(Npart) integrated over 8 < PT < 60 GeV
The V6 harmonic measured with the scalar product method as a funtion of MEAN(Npart) integrated over 0.5 < PT < 60 GeV
The V7 harmonic measured with the scalar product method as a funtion of MEAN(Npart) integrated over 0.5 < PT < 0.8 GeV
The V7 harmonic measured with the scalar product method as a funtion of MEAN(Npart) integrated over 0.8 < PT < 1 GeV
The V7 harmonic measured with the scalar product method as a funtion of MEAN(Npart) integrated over 1 < PT < 2 GeV
The V7 harmonic measured with the scalar product method as a funtion of MEAN(Npart) integrated over 2 < PT < 4 GeV
The V7 harmonic measured with the scalar product method as a funtion of MEAN(Npart) integrated over 4 < PT < 8 GeV
The V7 harmonic measured with the scalar product method as a funtion of MEAN(Npart) integrated over 8 < PT < 60 GeV
The V7 harmonic measured with the scalar product method as a funtion of MEAN(Npart) integrated over 0.5 < PT < 60 GeV
The V2 harmonic measured with the two particle correlation method as a funtion of transverse momentum in centrality bin 0-5%
The V2 harmonic measured with the two particle correlation method as a funtion of transverse momentum in centrality bin 10-15%
The V2 harmonic measured with the two particle correlation method as a funtion of transverse momentum in centrality bin 20-25%
The V2 harmonic measured with the two particle correlation method as a funtion of transverse momentum in centrality bin 30-35%
The V2 harmonic measured with the two particle correlation method as a funtion of transverse momentum in centrality bin 40-45%
The V2 harmonic measured with the two particle correlation method as a funtion of transverse momentum in centrality bin 50-55%
The V3 harmonic measured with the two particle correlation method as a funtion of transverse momentum in centrality bin 0-5%
The V3 harmonic measured with the two particle correlation method as a funtion of transverse momentum in centrality bin 10-15%
The V3 harmonic measured with the two particle correlation method as a funtion of transverse momentum in centrality bin 20-25%
The V3 harmonic measured with the two particle correlation method as a funtion of transverse momentum in centrality bin 30-35%
The V3 harmonic measured with the two particle correlation method as a funtion of transverse momentum in centrality bin 40-45%
The V3 harmonic measured with the two particle correlation method as a funtion of transverse momentum in centrality bin 50-55%
The scaled-V2(PT) measured with the two particle correlation method in centrality bin 0-5%
The scaled-V2(PT) measured with the two particle correlation method in centrality bin 10-15%
The scaled-V2(PT) measured with the two particle correlation method in centrality bin 20-25%
The scaled-V2(PT) measured with the two particle correlation method in centrality bin 30-35%
The scaled-V2(PT) measured with the two particle correlation method in centrality bin 40-45%
The scaled-V2(PT) measured with the two particle correlation method in centrality bin 50-55%
The scaled-V3(PT) measured with the two particle correlation method in centrality bin 0-5%
The scaled-V3(PT) measured with the two particle correlation method in centrality bin 10-15%
The scaled-V3(PT) measured with the two particle correlation method in centrality bin 20-25%
The scaled-V3(PT) measured with the two particle correlation method in centrality bin 30-35%
The scaled-V3(PT) measured with the two particle correlation method in centrality bin 40-45%
The scaled-V3(PT) measured with the two particle correlation method in centrality bin 50-55%
The PT scale factor for V2(PT) as a funtion of collision centrality
The PT scale factor for V3(PT) as a funtion of collision centrality
The V2 scale factor as a funtion of collision centrality
The V3 scale factor as a funtion of collision centrality
The V2 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 0-0.1%
The V2 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 0-1%
The V2 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 0-5%
The V2 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 5-10%
The V2 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 10-20%
The V2 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 20-30%
The V2 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 30-40%
The V2 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 40-50%
The V2 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 50-60%
The V2 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 60-70%
The V2 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 70-80%
The V3 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 0-0.1%
The V3 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 0-1%
The V3 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 0-5%
The V3 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 5-10%
The V3 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 10-20%
The V3 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 20-30%
The V3 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 30-40%
The V3 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 40-50%
The V3 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 50-60%
The V3 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 60-70%
The V3 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 70-80%
The V4 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 0-0.1%
The V4 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 0-1%
The V4 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 0-5%
The V4 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 5-10%
The V4 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 10-20%
The V4 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 20-30%
The V4 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 30-40%
The V4 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 40-50%
The V4 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 50-60%
The V4 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 60-70%
The V4 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 70-80%
The V5 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 0-0.1%
The V5 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 0-1%
The V5 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 0-5%
The V5 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 5-10%
The V5 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 10-20%
The V5 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 20-30%
The V5 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 30-40%
The V5 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 40-50%
The V5 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 50-60%
The V5 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 60-70%
The V5 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 70-80%
The V6 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 0-5%
The V6 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 5-10%
The V6 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 10-20%
The V6 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 20-30%
The V6 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 30-40%
The V6 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 40-50%
The V6 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 50-60%
The V6 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 60-70%
The V6 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 70-80%
The V7 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 0-5%
The V7 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 5-10%
The V7 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 10-20%
The V7 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 20-30%
The V7 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 30-40%
The V7 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 40-50%
The V7 harmonic measured with the event plane method as a funtion of transverse momentum in centrality bin 50-60%
The V2 harmonic measured with the event plane method as a function of pseudorapidity for transverse momentum range 0.8 < PT < 1 GeV in centrality bin 0-0.1%
The V2 harmonic measured with the event plane method as a function of pseudorapidity for transverse momentum range 0.8 < PT < 1 GeV in centrality bin 0-5%
The V2 harmonic measured with the event plane method as a function of pseudorapidity for transverse momentum range 0.8 < PT < 1 GeV in centrality bin 10-20%
The V2 harmonic measured with the event plane method as a function of pseudorapidity for transverse momentum range 0.8 < PT < 1 GeV in centrality bin 30-40%
The V2 harmonic measured with the event plane method as a function of pseudorapidity for transverse momentum range 0.8 < PT < 1 GeV in centrality bin 60-70%
The V3 harmonic measured with the event plane method as a function of pseudorapidity for transverse momentum range 0.8 < PT < 1 GeV in centrality bin 0-0.1%
The V3 harmonic measured with the event plane method as a function of pseudorapidity for transverse momentum range 0.8 < PT < 1 GeV in centrality bin 0-5%
The V3 harmonic measured with the event plane method as a function of pseudorapidity for transverse momentum range 0.8 < PT < 1 GeV in centrality bin 10-20%
The V3 harmonic measured with the event plane method as a function of pseudorapidity for transverse momentum range 0.8 < PT < 1 GeV in centrality bin 30-40%
The V3 harmonic measured with the event plane method as a function of pseudorapidity for transverse momentum range 0.8 < PT < 1 GeV in centrality bin 60-70%
The V4 harmonic measured with the event plane method as a function of pseudorapidity for transverse momentum range 0.8 < PT < 1 GeV in centrality bin 0-0.1%
The V4 harmonic measured with the event plane method as a function of pseudorapidity for transverse momentum range 0.8 < PT < 1 GeV in centrality bin 0-5%
The V4 harmonic measured with the event plane method as a function of pseudorapidity for transverse momentum range 0.8 < PT < 1 GeV in centrality bin 10-20%
The V4 harmonic measured with the event plane method as a function of pseudorapidity for transverse momentum range 0.8 < PT < 1 GeV in centrality bin 30-40%
The V4 harmonic measured with the event plane method as a function of pseudorapidity for transverse momentum range 0.8 < PT < 1 GeV in centrality bin 60-70%
The V5 harmonic measured with the event plane method as a function of pseudorapidity for transverse momentum range 0.8 < PT < 1 GeV in centrality bin 0-0.1%
The V5 harmonic measured with the event plane method as a function of pseudorapidity for transverse momentum range 0.8 < PT < 1 GeV in centrality bin 0-5%
The V5 harmonic measured with the event plane method as a function of pseudorapidity for transverse momentum range 0.8 < PT < 1 GeV in centrality bin 10-20%
The V5 harmonic measured with the event plane method as a function of pseudorapidity for transverse momentum range 0.8 < PT < 1 GeV in centrality bin 30-40%
The V5 harmonic measured with the event plane method as a function of pseudorapidity for transverse momentum range 0.8 < PT < 1 GeV in centrality bin 60-70%
The V6 harmonic measured with the event plane method as a function of pseudorapidity for transverse momentum range 0.8 < PT < 1 GeV in centrality bin 0-5%
The V6 harmonic measured with the event plane method as a function of pseudorapidity for transverse momentum range 0.8 < PT < 1 GeV in centrality bin 10-20%
The V6 harmonic measured with the event plane method as a function of pseudorapidity for transverse momentum range 0.8 < PT < 1 GeV in centrality bin 30-40%
The V6 harmonic measured with the event plane method as a function of pseudorapidity for transverse momentum range 0.8 < PT < 1 GeV in centrality bin 60-70%
The V7 harmonic measured with the event plane method as a function of pseudorapidity for transverse momentum range 0.8 < PT < 1 GeV in centrality bin 0-5%
The V7 harmonic measured with the event plane method as a function of pseudorapidity for transverse momentum range 0.8 < PT < 1 GeV in centrality bin 10-20%
The V7 harmonic measured with the event plane method as a function of pseudorapidity for transverse momentum range 0.8 < PT < 1 GeV in centrality bin 30-40%
The V2 harmonic measured with the event plane method as a function of pseudorapidity for transverse momentum range 2 < PT < 3 GeV in centrality bin 0-0.1%
The V2 harmonic measured with the event plane method as a function of pseudorapidity for transverse momentum range 2 < PT < 3 GeV in centrality bin 0-5%
The V2 harmonic measured with the event plane method as a function of pseudorapidity for transverse momentum range 2 < PT < 3 GeV in centrality bin 10-20%
The V2 harmonic measured with the event plane method as a function of pseudorapidity for transverse momentum range 2 < PT < 3 GeV in centrality bin 30-40%
The V2 harmonic measured with the event plane method as a function of pseudorapidity for transverse momentum range 2 < PT < 3 GeV in centrality bin 60-70%
The V3 harmonic measured with the event plane method as a function of pseudorapidity for transverse momentum range 2 < PT < 3 GeV in centrality bin 0-0.1%
The V3 harmonic measured with the event plane method as a function of pseudorapidity for transverse momentum range 2 < PT < 3 GeV in centrality bin 0-5%
The V3 harmonic measured with the event plane method as a function of pseudorapidity for transverse momentum range 2 < PT < 3 GeV in centrality bin 10-20%
The V3 harmonic measured with the event plane method as a function of pseudorapidity for transverse momentum range 2 < PT < 3 GeV in centrality bin 30-40%
The V3 harmonic measured with the event plane method as a function of pseudorapidity for transverse momentum range 2 < PT < 3 GeV in centrality bin 60-70%
The V4 harmonic measured with the event plane method as a function of pseudorapidity for transverse momentum range 2 < PT < 3 GeV in centrality bin 0-0.1%
The V4 harmonic measured with the event plane method as a function of pseudorapidity for transverse momentum range 2 < PT < 3 GeV in centrality bin 0-5%
The V4 harmonic measured with the event plane method as a function of pseudorapidity for transverse momentum range 2 < PT < 3 GeV in centrality bin 10-20%
The V4 harmonic measured with the event plane method as a function of pseudorapidity for transverse momentum range 2 < PT < 3 GeV in centrality bin 30-40%
The V4 harmonic measured with the event plane method as a function of pseudorapidity for transverse momentum range 2 < PT < 3 GeV in centrality bin 60-70%
The V5 harmonic measured with the event plane method as a function of pseudorapidity for transverse momentum range 2 < PT < 3 GeV in centrality bin 0-0.1%
The V5 harmonic measured with the event plane method as a function of pseudorapidity for transverse momentum range 2 < PT < 3 GeV in centrality bin 0-5%
The V5 harmonic measured with the event plane method as a function of pseudorapidity for transverse momentum range 2 < PT < 3 GeV in centrality bin 10-20%
The V5 harmonic measured with the event plane method as a function of pseudorapidity for transverse momentum range 2 < PT < 3 GeV in centrality bin 30-40%
The V5 harmonic measured with the event plane method as a function of pseudorapidity for transverse momentum range 2 < PT < 3 GeV in centrality bin 60-70%
The V6 harmonic measured with the event plane method as a function of pseudorapidity for transverse momentum range 2 < PT < 3 GeV in centrality bin 0-5%
The V6 harmonic measured with the event plane method as a function of pseudorapidity for transverse momentum range 2 < PT < 3 GeV in centrality bin 10-20%
The V6 harmonic measured with the event plane method as a function of pseudorapidity for transverse momentum range 2 < PT < 3 GeV in centrality bin 30-40%
The V6 harmonic measured with the event plane method as a function of pseudorapidity for transverse momentum range 2 < PT < 3 GeV in centrality bin 60-70%
The V7 harmonic measured with the event plane method as a function of pseudorapidity for transverse momentum range 2 < PT < 3 GeV in centrality bin 0-5%
The V7 harmonic measured with the event plane method as a function of pseudorapidity for transverse momentum range 2 < PT < 3 GeV in centrality bin 10-20%
The V7 harmonic measured with the event plane method as a function of pseudorapidity for transverse momentum range 2 < PT < 3 GeV in centrality bin 30-40%
The V2 harmonic measured with the event plane method as a function of pseudorapidity for transverse momentum range 7 < PT < 60 GeV in centrality bin 0-0.1%
The V2 harmonic measured with the event plane method as a function of pseudorapidity for transverse momentum range 7 < PT < 60 GeV in centrality bin 0-5%
The V2 harmonic measured with the event plane method as a function of pseudorapidity for transverse momentum range 7 < PT < 60 GeV in centrality bin 10-20%
The V2 harmonic measured with the event plane method as a function of pseudorapidity for transverse momentum range 7 < PT < 60 GeV in centrality bin 30-40%
The V2 harmonic measured with the event plane method as a function of pseudorapidity for transverse momentum range 7 < PT < 60 GeV in centrality bin 60-70%
The V3 harmonic measured with the event plane method as a function of pseudorapidity for transverse momentum range 7 < PT < 60 GeV in centrality bin 0-0.1%
The V3 harmonic measured with the event plane method as a function of pseudorapidity for transverse momentum range 7 < PT < 60 GeV in centrality bin 0-5%
The V3 harmonic measured with the event plane method as a function of pseudorapidity for transverse momentum range 7 < PT < 60 GeV in centrality bin 10-20%
The V3 harmonic measured with the event plane method as a function of pseudorapidity for transverse momentum range 7 < PT < 60 GeV in centrality bin 30-40%
The V4 harmonic measured with the event plane method as a function of pseudorapidity for transverse momentum range 7 < PT < 60 GeV in centrality bin 0-0.1%
The V4 harmonic measured with the event plane method as a function of pseudorapidity for transverse momentum range 7 < PT < 60 GeV in centrality bin 0-5%
The V4 harmonic measured with the event plane method as a function of pseudorapidity for transverse momentum range 7 < PT < 60 GeV in centrality bin 10-20%
The V4 harmonic measured with the event plane method as a function of pseudorapidity for transverse momentum range 7 < PT < 60 GeV in centrality bin 30-40%
The V2 harmonic measured with the event plane method as a funtion of MEAN(Npart) integrated over 0.5 < PT < 0.8 GeV
The V2 harmonic measured with the event plane method as a funtion of MEAN(Npart) integrated over 0.8 < PT < 1 GeV
The V2 harmonic measured with the event plane method as a funtion of MEAN(Npart) integrated over 1 < PT < 2 GeV
The V2 harmonic measured with the event plane method as a funtion of MEAN(Npart) integrated over 2 < PT < 4 GeV
The V2 harmonic measured with the event plane method as a funtion of MEAN(Npart) integrated over 4 < PT < 8 GeV
The V2 harmonic measured with the event plane method as a funtion of MEAN(Npart) integrated over 8 < PT < 60 GeV
The V2 harmonic measured with the event plane method as a funtion of MEAN(Npart) integrated over 0.5 < PT < 60 GeV
The V3 harmonic measured with the event plane method as a funtion of MEAN(Npart) integrated over 0.5 < PT < 0.8 GeV
The V3 harmonic measured with the event plane method as a funtion of MEAN(Npart) integrated over 0.8 < PT < 1 GeV
The V3 harmonic measured with the event plane method as a funtion of MEAN(Npart) integrated over 1 < PT < 2 GeV
The V3 harmonic measured with the event plane method as a funtion of MEAN(Npart) integrated over 2 < PT < 4 GeV
The V3 harmonic measured with the event plane method as a funtion of MEAN(Npart) integrated over 4 < PT < 8 GeV
The V3 harmonic measured with the event plane method as a funtion of MEAN(Npart) integrated over 8 < PT < 60 GeV
The V3 harmonic measured with the event plane method as a funtion of MEAN(Npart) integrated over 0.5 < PT < 60 GeV
The V4 harmonic measured with the event plane method as a funtion of MEAN(Npart) integrated over 0.5 < PT < 0.8 GeV
The V4 harmonic measured with the event plane method as a funtion of MEAN(Npart) integrated over 0.8 < PT < 1 GeV
The V4 harmonic measured with the event plane method as a funtion of MEAN(Npart) integrated over 1 < PT < 2 GeV
The V4 harmonic measured with the event plane method as a funtion of MEAN(Npart) integrated over 2 < PT < 4 GeV
The V4 harmonic measured with the event plane method as a funtion of MEAN(Npart) integrated over 4 < PT < 8 GeV
The V4 harmonic measured with the event plane method as a funtion of MEAN(Npart) integrated over 8 < PT < 60 GeV
The V4 harmonic measured with the event plane method as a funtion of MEAN(Npart) integrated over 0.5 < PT < 60 GeV
The V5 harmonic measured with the event plane method as a funtion of MEAN(Npart) integrated over 0.5 < PT < 0.8 GeV
The V5 harmonic measured with the event plane method as a funtion of MEAN(Npart) integrated over 0.8 < PT < 1 GeV
The V5 harmonic measured with the event plane method as a funtion of MEAN(Npart) integrated over 1 < PT < 2 GeV
The V5 harmonic measured with the event plane method as a funtion of MEAN(Npart) integrated over 2 < PT < 4 GeV
The V5 harmonic measured with the event plane method as a funtion of MEAN(Npart) integrated over 4 < PT < 8 GeV
The V5 harmonic measured with the event plane method as a funtion of MEAN(Npart) integrated over 8 < PT < 60 GeV
The V5 harmonic measured with the event plane method as a funtion of MEAN(Npart) integrated over 0.5 < PT < 60 GeV
The V6 harmonic measured with the event plane method as a funtion of MEAN(Npart) integrated over 0.5 < PT < 0.8 GeV
The V6 harmonic measured with the event plane method as a funtion of MEAN(Npart) integrated over 0.8 < PT < 1 GeV
The V6 harmonic measured with the event plane method as a funtion of MEAN(Npart) integrated over 1 < PT < 2 GeV
The V6 harmonic measured with the event plane method as a funtion of MEAN(Npart) integrated over 2 < PT < 4 GeV
The V6 harmonic measured with the event plane method as a funtion of MEAN(Npart) integrated over 4 < PT < 8 GeV
The V6 harmonic measured with the event plane method as a funtion of MEAN(Npart) integrated over 8 < PT < 60 GeV
The V6 harmonic measured with the event plane method as a funtion of MEAN(Npart) integrated over 0.5 < PT < 60 GeV
The V7 harmonic measured with the event plane method as a funtion of MEAN(Npart) integrated over 0.5 < PT < 0.8 GeV
The V7 harmonic measured with the event plane method as a funtion of MEAN(Npart) integrated over 0.8 < PT < 1 GeV
The V7 harmonic measured with the event plane method as a funtion of MEAN(Npart) integrated over 1 < PT < 2 GeV
The V7 harmonic measured with the event plane method as a funtion of MEAN(Npart) integrated over 2 < PT < 4 GeV
The V7 harmonic measured with the event plane method as a funtion of MEAN(Npart) integrated over 4 < PT < 8 GeV
The V7 harmonic measured with the event plane method as a funtion of MEAN(Npart) integrated over 8 < PT < 60 GeV
The V7 harmonic measured with the event plane method as a funtion of MEAN(Npart) integrated over 0.5 < PT < 60 GeV
This Letter presents a search for heavy charged long-lived particles produced in proton-proton collisions at $\sqrt{s} = 13$ TeV at the LHC using a data sample corresponding to an integrated luminosity of 36.1 fb$^{-1}$ collected by the ATLAS experiment in 2015 and 2016. These particles are expected to travel with a velocity significantly below the speed of light, and therefore have a specific ionisation higher than any high-momentum Standard Model particle of unit charge. The pixel subsystem of the ATLAS detector is used in this search to measure the ionisation energy loss of all reconstructed charged particles which traverse the pixel detector. Results are interpreted assuming the pair production of $R$-hadrons as composite colourless states of a long-lived gluino and Standard Model partons. No significant deviation from Standard Model background expectations is observed, and lifetime-dependent upper limits on $R$-hadron production cross-sections and gluino masses are set, assuming the gluino always decays in two quarks and a stable neutralino. $R$-hadrons with lifetimes above 1.0 ns are excluded at the 95% confidence level, with lower limits on the gluino mass ranging between 1290 GeV and 2060 GeV. In the case of stable $R$-hadrons, the lower limit on the gluino mass at the 95% confidence level is 1890 GeV.
The number of events in each CR, VR, and SR for the predicted background, for the expected contribution from the signal model normalised to $36.1$ fb$^{-1}$, and in the observed data. The predicted background includes the statistical and systematic uncertainties, respectively. The uncertainty in the signal yield includes all systematic uncertainties except that in the theoretical cross-section.
The number of events in each CR, VR, and SR for the predicted background, for the expected contribution from the signal model normalised to $36.1$ fb$^{-1}$, and in the observed data. The predicted background includes the statistical and systematic uncertainties, respectively. The uncertainty in the signal yield includes all systematic uncertainties except that in the theoretical cross-section.
Expected number of $R$-hadron signal events at different stages of the selection, normalised to $36.1$ fb$^{-1}$. Shown for three different signal points is the number of events expected and the number of events expected in which the selected track has been matched to a generated $R$-hadron. If the gluino decays, it decays to a 100 GeV $\tilde{\chi}^{0}$ and SM quarks.
The observed and expected 95% CL upper limits on model-independent visible cross-sections, along with the observed $p0$ values, for the stable signal region, as a function of different mass windows, for which the lower bound is shown. The upper boundary on the mass window is 5 TeV for all windows.
The observed and expected 95% CL upper limits on model-independent visible cross-sections, along with the observed $p0$ values, for the metastable signal region, as a function of different mass windows, for which the lower bound is shown. The upper boundary on the mass window is 5 TeV for all windows.
For each gluino lifetime and mass in the signal samples, the lower boundary of the mass window in which at least $70\%$ of the reconstructed signal appears. The upper boundary for all mass windows is 5 TeV.
Acceptance and efficiency for a representative set of pair-produced gluino signal samples. The mass of the gluino ($m(\tilde{g})$), its lifetime ($\tau(\tilde{g})$) and the mass of the neutralino ($m(\tilde{\chi}^{0})$) are given in the first three columns. The Pythia 6.4.27 signal samples shown in this table are not reweighted to match the transverse momentum of the gluino-gluino system as simulated by MadGraph5_aMC@NLO. The acceptance is defined as the fraction of events passing a loose set of fiducial requirements. The full simulation efficiency (Full sim. $\epsilon$) is defined as the ratio of the number of reconstructed events, as expected by the full ATLAS simulation, and the number of events passing the fiducial requirements. The parameterised simulation efficiency (Param. sim. $\epsilon$) is defined as the ratio of the number of events estimated using a set of parametrised efficiencies (see auxiliary Figures 9,10,11,12) and the number of events passing the fiducial requirements alone.
The reconstructed candidate track mass distributions for observed data, predicted background, and the expected contribution from two signal models in the metastable R-hadron signal region. The yellow band around the background estimation includes both the statistical and systematic uncertainties.
The reconstructed candidate track mass distributions for observed data, predicted background, and the expected contribution from two signal models in the stable R-hadron signal region. The yellow band around the background estimation includes both the statistical and systematic uncertainties.
The 95% CL upper limit on the cross-section as a function of mass for gluinos with lifetime $\tau = 10$ ns decaying into $q\bar{q}$ and a 100 GeV neutralino, with the observed limit shown as a solid black line. The predicted production cross-section values are shown in purple along with their uncertainty. The expected upper limit in the case of only background is shown by the dashed black line, with a green $\pm 1\sigma$ and a yellow $\pm 2\sigma$ band.
The 95% CL upper limit on the cross-section as a function of mass for stable gluino $R$-hadrons, with the observed limit shown as a solid black line. The predicted production cross-section values are shown in purple along with their uncertainty. The expected upper limit in the case of only background is shown by the dashed black line, with a green $\pm 1\sigma$ and a yellow $\pm 2\sigma$ band.
Observed 95% lower limits on the gluino mass in the gluino lifetime--mass plane. The excluded area is to the left of the curves.
Expected 95% lower limits on the gluino mass in the gluino lifetime--mass plane. The excluded area is to the left of the curves.
The 95% CL upper limit on the cross-section as a function of mass for gluinos with lifetime $\tau = 1$ ns decaying into $q\bar{q}$ and a 100 GeV neutralino, with the observed limit shown as a solid black line. The predicted production cross-section values are shown in purple along with their uncertainty. The expected upper limit in the case of only background is shown by the dashed black line, with a green $\pm 1\sigma$ and a yellow $\pm 2\sigma$ band.
The 95% CL upper limit on the cross-section as a function of mass for gluinos with lifetime $\tau = 3$ ns decaying into $q\bar{q}$ and a 100 GeV neutralino, with the observed limit shown as a solid black line. The predicted production cross-section values are shown in purple along with their uncertainty. The expected upper limit in the case of only background is shown by the dashed black line, with a green $\pm 1\sigma$ and a yellow $\pm 2\sigma$ band.
The 95% CL upper limit on the cross-section as a function of mass for gluinos with lifetime $\tau = 30$ ns decaying into $q\bar{q}$ and a 100 GeV neutralino, with the observed limit shown as a solid black line. The predicted production cross-section values are shown in purple along with their uncertainty. The expected upper limit in the case of only background is shown by the dashed black line, with a green $\pm 1\sigma$ and a yellow $\pm 2\sigma$ band.
The 95% CL upper limit on the cross-section as a function of mass for gluinos with lifetime $\tau = 50$ ns decaying into $q\bar{q}$ and a 100 GeV neutralino, with the observed limit shown as a solid black line. The predicted production cross-section values are shown in purple along with their uncertainty. The expected upper limit in the case of only background is shown by the dashed black line, with a green $\pm 1\sigma$ and a yellow $\pm 2\sigma$ band.
The relationship between generated and reconstructed mass for gluino $R$-hadrons. Above 1500 GeV, the reconstructed mass falls below the generated mass due to bias in the reconstructed momentum. The uncertainty on the reconstructed mass is dominated by momentum uncertainty. The black dots represent the reconstructed mass computed as the most probable value of a Gaussian fit function, with the error bars showing its statistical uncertainty, while the orange band is the full-width at half maximum of the reconstructed mass distribution.
The parameterised efficiency for events to pass metastable event selections (including trigger, E$_{T}^{miss}$, and event cleaning requirements) as a function of the true E$_{T}^{miss}$ in the system, which is calculated at generator level. Event-level efficiencies are evaluated for events which have at least true E$_{T}^{miss} > 50$ GeV. The metastable event efficiencies are evaluated for different radial regions depending on the smallest radial distance, R, at which an R-hadron decays in the detector.
The parameterised efficiency for events to pass metastable event selections (including trigger, E$_{T}^{miss}$, and event cleaning requirements) as a function of the true E$_{T}^{miss}$ in the system, which is calculated at generator level. Event-level efficiencies are evaluated for events which have at least true E$_{T}^{miss} > 50$ GeV. The stable event efficiencies are evaluated for samples in which no R-hadron decays within the detector.
The parameterised efficiency for particles to pass full track selections in the metastable signal region, as function of the particle’s $\beta$, in different bins of transverse momentum, $p_{T}$, and for different radial decay positions of the particle. The efficiency is evaluated for particles which pass a loose set of fiducial requirements at generator level.
The parameterised efficiency for particles to pass full track selections in the metastable signal region, as function of the particle’s $\beta$, in different bins of transverse momentum, $p_{T}$, and for different radial decay positions of the particle. The efficiency is evaluated for particles which pass a loose set of fiducial requirements at generator level.
The parameterised efficiency for particles to pass full track selections in the metastable signal region, as function of the particle’s $\beta$, in different bins of transverse momentum, $p_{T}$, and for different radial decay positions of the particle. The efficiency is evaluated for particles which pass a loose set of fiducial requirements at generator level.
The parameterised efficiency for particles to pass full track selections in the metastable signal region, as function of the particle’s $\beta$, in different bins of transverse momentum, $p_{T}$, and for different radial decay positions of the particle. The efficiency is evaluated for particles which pass a loose set of fiducial requirements at generator level.
The parameterised efficiency for particles to pass full track selections in the metastable signal region, as function of the particle’s $\beta$, in different bins of transverse momentum, $p_{T}$, and for different radial decay positions of the particle. The efficiency is evaluated for particles which pass a loose set of fiducial requirements at generator level.
The parameterised efficiency for particles to pass full track selections in the metastable signal region, as function of the particle’s $\beta$, in different bins of transverse momentum, $p_{T}$. The stable efficiency is evaluated for samples which do not decay within the detector. The efficiency is evaluated for particles which pass a loose set of fiducial requirements at generator level.
This Letter presents a normalized differential cross-section measurement in a fiducial phase-space region where interference effects between top-quark pair production and associated production of a single top quark with a $W$ boson and a $b$-quark are significant. Events with exactly two leptons ($ee$, $\mu\mu$, or $e\mu$) and two $b$-tagged jets that satisfy a multi-particle invariant mass requirement are selected from $36.1$ fb$^{-1}$ of proton-proton collision data taken at $\sqrt{s}=13$ TeV with the ATLAS detector at the LHC in 2015 and 2016. The results are compared with predictions from simulations using various strategies for the interference. The standard prescriptions for interference modeling are significantly different from each other but are within $2\sigma$ of the data. State-of-the-art predictions that naturally incorporate interference effects provide the best description of the data in the measured region of phase space most sensitive to these effects. These results provide an important constraint on interference models and will guide future model development and tuning.
The minimax-mbl distribution in the three-b-tag region, constructed from the two b-jets with largest transverse momentum. The predicted tt+HF contribution from simulation is scaled to match observed data in this region. The hashed band indicates the uncertainty on the total number of predicted events, where the DR scheme is used to estimate the minor contribution from the tW process. Uncertainties include all statistical and systematic sources.
The detector-level minimax-mbl distribution, with signal selection and background estimation as described in the text. The total predicted events are shown for both the DR and DS definitions of the tW process, with uncertainties on the respective estimates indicated by separate error bars. Uncertainties include all statistical and systematic sources.
The unfolded, normalized differential minimax-mbl cross-section compared with theoretical models of the tt+tWb signal with various implementations of interference effects. The uncertainty of each data point includes all statistical and systematic sources, while uncertainties for each of the MC predictions correspond to variations of the PDF set and renormalization and factorization scales.
The systematic uncertainty on the unfolded distribution as a function of minimax-mbl, broken down by components.
The covariance matrix for the unfolded, normalized data in bins of minimax-mbl shown in Figure 2. Redundant entries are suppressed.
Leading lepton transverse momentum distribution for events passing the signal selection in bins of minimax-mbl. The data here are not unfolded.
Sub-leading lepton transverse momentum distribution for events passing the signal selection in bins of minimax-mbl. The data here are not unfolded.
Leading lepton pseudorapidity distribution for events passing the signal selection in bins of minimax-mbl. The data here are not unfolded.
Sub-leading lepton pseudorapidity distribution for events passing the signal selection in bins of minimax-mbl. The data here are not unfolded.
Leading b-jet transverse momentum distribution for events passing the signal selection in bins of minimax-mbl. The data here are not unfolded.
Sub-leading b-jet transverse momentum distribution for events passing the signal selection in bins of minimax-mbl. The data here are not unfolded.
Leading b-jet pseudorapidity distribution for events passing the signal selection in bins of minimax-mbl. The data here are not unfolded.
Sub-leading b-jet pseudorapidity distribution for events passing the signal selection in bins of minimax-mbl. The data here are not unfolded.
The detector-level minimax-m(bl) distribution for events entering the Z+jets control region.
The detector-level minimax-m(bl) distribution for events entering the same-sign lepton control region.
This paper presents a measurement of jet fragmentation functions in 0.49 nb$^{-1}$ of Pb+Pb collisions and 25 pb$^{-1}$ of $pp$ collisions at $\sqrt{s_{NN}} = 5.02$ TeV collected in 2015 with the ATLAS detector at the LHC. These measurements provide insight into the jet quenching process in the quark-gluon plasma created in the aftermath of ultra-relativistic collisions between two nuclei. The modifications to the jet fragmentation functions are quantified by dividing the measurements in Pb+Pb collisions by baseline measurements in $pp$ collisions. This ratio is studied as a function of the transverse momentum of the jet, the jet rapidity, and the centrality of the collision. In both collision systems, the jet fragmentation functions are measured for jets with transverse momentum between 126 GeV and 398 GeV and with an absolute value of jet rapidity less than 2.1. An enhancement of particles carrying a small fraction of the jet momentum is observed, which increases with centrality and with increasing jet transverse momentum. Yields of particles carrying a very large fraction of the jet momentum are also observed to be enhanced. Between these two enhancements of the fragmentation functions a suppression of particles carrying an intermediate fraction of the jet momentum is observed in Pb+Pb collisions. A small dependence of the modifications on jet rapidity is observed.
The D(z) distributions in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 0.0 < eta < 0.3.
The D(z) distributions in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 0.0 < eta < 2.1.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 0.0 < eta < 0.3.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 0.0 < eta < 2.1.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 0.0 < eta < 0.3.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 0.0 < eta < 2.1.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 0.0 < eta < 0.3.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 0.0 < eta < 2.1.
The D(z) distributions in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 0.0 < eta < 0.3.
The D(z) distributions in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 0.0 < eta < 2.1.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 0.0 < eta < 0.3.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 0.0 < eta < 2.1.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 0.0 < eta < 0.3.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 0.0 < eta < 2.1.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 0.0 < eta < 0.3.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 0.0 < eta < 2.1.
The D(z) distributions in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 0.0 < eta < 0.3.
The D(z) distributions in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 0.0 < eta < 2.1.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 0.0 < eta < 0.3.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 0.0 < eta < 2.1.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 0.0 < eta < 0.3.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 0.0 < eta < 2.1.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 0.0 < eta < 0.3.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 0.0 < eta < 2.1.
The D(z) distributions in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 0.0 < eta < 0.3.
The D(z) distributions in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 0.0 < eta < 2.1.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 0.0 < eta < 0.3.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 0.0 < eta < 2.1.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 0.0 < eta < 0.3.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 0.0 < eta < 2.1.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 0.0 < eta < 0.3.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 0.0 < eta < 2.1.
The D(z) distributions in different centrality intervals in PbPb and in pp for 316.22 < pTjet < 398.10 and 0.0 < eta < 0.3.
The D(z) distributions in different centrality intervals in PbPb and in pp for 316.22 < pTjet < 398.10 and 0.0 < eta < 2.1.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 316.22 < pTjet < 398.10 and 0.0 < eta < 0.3.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 316.22 < pTjet < 398.10 and 0.0 < eta < 2.1.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 316.22 < pTjet < 398.10 and 0.0 < eta < 0.3.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 316.22 < pTjet < 398.10 and 0.0 < eta < 2.1.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 316.22 < pTjet < 398.10 and 0.0 < eta < 0.3.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 316.22 < pTjet < 398.10 and 0.0 < eta < 2.1.
The D(z) distributions in different centrality intervals in PbPb and in pp for 398.10 < pTjet < 501.18 and 0.0 < eta < 0.3.
The D(z) distributions in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 0.0 < eta < 0.3.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 398.10 < pTjet < 501.18 and 0.0 < eta < 0.3.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 0.0 < eta < 0.3.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 398.10 < pTjet < 501.18 and 0.0 < eta < 0.3.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 0.0 < eta < 0.3.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 398.10 < pTjet < 501.18 and 0.0 < eta < 0.3.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 0.0 < eta < 0.3.
The D(z) distributions in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 0.3 < eta < 0.8.
The D(z) distributions in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 0.3 < eta < 0.8.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 0.3 < eta < 0.8.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 0.3 < eta < 0.8.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 0.3 < eta < 0.8.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 0.3 < eta < 0.8.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 0.3 < eta < 0.8.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 0.3 < eta < 0.8.
The D(z) distributions in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 0.8 < eta < 1.2.
The D(z) distributions in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 0.8 < eta < 1.2.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 0.8 < eta < 1.2.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 0.8 < eta < 1.2.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 0.8 < eta < 1.2.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 0.8 < eta < 1.2.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 0.8 < eta < 1.2.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 0.8 < eta < 1.2.
The D(z) distributions in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 1.2 < eta < 2.1.
The D(z) distributions in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 1.2 < eta < 2.1.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 1.2 < eta < 2.1.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 1.2 < eta < 2.1.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 1.2 < eta < 2.1.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 1.2 < eta < 2.1.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 1.2 < eta < 2.1.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 1.2 < eta < 2.1.
The D(z) distributions in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 0.0 < eta < 2.1.
The D(z) distributions in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 0.0 < eta < 0.3.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 0.0 < eta < 2.1.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 0.0 < eta < 0.3.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 0.0 < eta < 2.1.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 0.0 < eta < 0.3.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 126.00 < pTjet < 158.49 and 0.0 < eta < 2.1.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 0.0 < eta < 0.3.
The D(z) distributions in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 0.3 < eta < 0.8.
The D(z) distributions in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 0.3 < eta < 0.8.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 0.3 < eta < 0.8.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 0.3 < eta < 0.8.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 0.3 < eta < 0.8.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 0.3 < eta < 0.8.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 0.3 < eta < 0.8.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 0.3 < eta < 0.8.
The D(z) distributions in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 0.8 < eta < 1.2.
The D(z) distributions in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 0.8 < eta < 1.2.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 0.8 < eta < 1.2.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 0.8 < eta < 1.2.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 0.8 < eta < 1.2.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 0.8 < eta < 1.2.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 0.8 < eta < 1.2.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 0.8 < eta < 1.2.
The D(z) distributions in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 1.2 < eta < 2.1.
The D(z) distributions in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 1.2 < eta < 2.1.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 1.2 < eta < 2.1.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 1.2 < eta < 2.1.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 1.2 < eta < 2.1.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 1.2 < eta < 2.1.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 1.2 < eta < 2.1.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 1.2 < eta < 2.1.
The D(z) distributions in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 0.0 < eta < 2.1.
The D(z) distributions in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 0.0 < eta < 0.3.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 0.0 < eta < 2.1.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 0.0 < eta < 0.3.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 0.0 < eta < 2.1.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 0.0 < eta < 0.3.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 158.49 < pTjet < 199.53 and 0.0 < eta < 2.1.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 0.0 < eta < 0.3.
The D(z) distributions in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 0.3 < eta < 0.8.
The D(z) distributions in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 0.3 < eta < 0.8.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 0.3 < eta < 0.8.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 0.3 < eta < 0.8.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 0.3 < eta < 0.8.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 0.3 < eta < 0.8.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 0.3 < eta < 0.8.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 0.3 < eta < 0.8.
The D(z) distributions in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 0.8 < eta < 1.2.
The D(z) distributions in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 0.8 < eta < 1.2.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 0.8 < eta < 1.2.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 0.8 < eta < 1.2.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 0.8 < eta < 1.2.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 0.8 < eta < 1.2.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 0.8 < eta < 1.2.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 0.8 < eta < 1.2.
The D(z) distributions in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 1.2 < eta < 2.1.
The D(z) distributions in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 1.2 < eta < 2.1.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 1.2 < eta < 2.1.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 1.2 < eta < 2.1.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 1.2 < eta < 2.1.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 1.2 < eta < 2.1.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 1.2 < eta < 2.1.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 1.2 < eta < 2.1.
The D(z) distributions in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 0.0 < eta < 2.1.
The D(z) distributions in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 0.0 < eta < 0.3.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 0.0 < eta < 2.1.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 0.0 < eta < 0.3.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 0.0 < eta < 2.1.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 0.0 < eta < 0.3.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 199.53 < pTjet < 251.19 and 0.0 < eta < 2.1.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 0.0 < eta < 0.3.
The D(z) distributions in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 0.3 < eta < 0.8.
The D(z) distributions in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 0.3 < eta < 0.8.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 0.3 < eta < 0.8.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 0.3 < eta < 0.8.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 0.3 < eta < 0.8.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 0.3 < eta < 0.8.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 0.3 < eta < 0.8.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 0.3 < eta < 0.8.
The D(z) distributions in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 0.8 < eta < 1.2.
The D(z) distributions in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 0.8 < eta < 1.2.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 0.8 < eta < 1.2.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 0.8 < eta < 1.2.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 0.8 < eta < 1.2.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 0.8 < eta < 1.2.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 0.8 < eta < 1.2.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 0.8 < eta < 1.2.
The D(z) distributions in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 1.2 < eta < 2.1.
The D(z) distributions in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 1.2 < eta < 2.1.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 1.2 < eta < 2.1.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 1.2 < eta < 2.1.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 1.2 < eta < 2.1.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 1.2 < eta < 2.1.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 1.2 < eta < 2.1.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 1.2 < eta < 2.1.
The D(z) distributions in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 0.0 < eta < 2.1.
Excess transverse momenta in jet in PbPb compared to pp collisions in different centrality selections for abs(jet rapidity) < 2.1.
The D(pT) distributions in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 0.0 < eta < 2.1.
Excess particles in jet in PbPb compared to pp collisions in different centrality selections for abs(jet rapidity) < 2.1.
The ratio of the D(z) in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 0.0 < eta < 2.1.
Ratio of R(D(z)) distributions in a given abs(jet rapidity) region to R(D(z)) for abs(jet rapidity) < 0.3 for 126 < pTJet < 158.5 GeV.
The ratio of the D(pT) in different centrality intervals in PbPb and in pp for 251.19 < pTjet < 316.22 and 0.0 < eta < 2.1.
Ratio of R(D(z)) distributions in a given abs(jet rapidity) region to R(D(z)) for abs(jet rapidity) < 0.3 for 158.5 < pTJet < 199.5 GeV.
Excess transverse momenta in jet in PbPb compared to pp collisions in different centrality selections for abs(jet rapidity) < 2.1.
Ratio of R(D(z)) distributions in a given abs(jet rapidity) region to R(D(z)) for abs(jet rapidity) < 0.3 for 199.5 < pTJet < 251.8 GeV.
Excess particles in jet in PbPb compared to pp collisions in different centrality selections for abs(jet rapidity) < 2.1.
Ratio of R(D(z)) distributions in a given abs(jet rapidity) region to R(D(z)) for abs(jet rapidity) < 0.3 for 126 < pTJet < 158.5 GeV.
Ratio of R(D(z)) distributions in a given abs(jet rapidity) region to R(D(z)) for abs(jet rapidity) < 0.3 for 158.5 < pTJet < 199.5 GeV.
Ratio of R(D(z)) distributions in a given abs(jet rapidity) region to R(D(z)) for abs(jet rapidity) < 0.3 for 199.5 < pTJet < 251.8 GeV.
A search for charged Higgs bosons decaying into $W^\pm W^\pm$ or $W^\pm Z$ bosons is performed, involving experimental signatures with two leptons of the same charge, or three or four leptons with a variety of charge combinations, missing transverse momentum and jets. A data sample of proton-proton collisions at a centre-of-mass energy of 13 TeV recorded with the ATLAS detector at the Large Hadron Collider between 2015 and 2018 is used. The data correspond to a total integrated luminosity of 139 fb$^{-1}$. The search is guided by a type-II seesaw model that extends the scalar sector of the Standard Model with a scalar triplet, leading to a phenomenology that includes doubly and singly charged Higgs bosons. Two scenarios are explored, corresponding to the pair production of doubly charged $H^{\pm\pm}$ bosons, or the associated production of a doubly charged $H^{\pm\pm}$ boson and a singly charged $H^\pm$ boson. No significant deviations from the Standard Model predictions are observed. $H^{\pm\pm}$ bosons are excluded at 95% confidence level up to 350 GeV and 230 GeV for the pair and associated production modes, respectively.
Distribution of $E_{T}^{miss}$, which is one of the discriminating variables used to define the $2\ell^{sc}$ SRs. The events are selected with the preselection requirements listed in Table 4 in the paper. The data (dots) are compared with the expected contributions from the relevant background sources (histograms). The expected signal distributions for $m_{H^{\pm\pm}} = 300~GeV$ are also shown, scaled to the observed number of events. The last bin includes overflows.
Distribution of $\Delta R_{\ell^{\pm}\ell^{\pm}}$, which is one of the discriminating variables used to define the $2\ell^{sc}$ SRs. The events are selected with the preselection requirements listed in Table 4 in the paper. The data (dots) are compared with the expected contributions from the relevant background sources (histograms). The expected signal distributions for $m_{H^{\pm\pm}} = 300~GeV$ are also shown, scaled to the observed number of events. The last bin includes overflows.
Distribution of $M_{jets}$, which is one of the discriminating variables used to define the $2\ell^{sc}$ SRs. The events are selected with the preselection requirements listed in Table 4 in the paper. The data (dots) are compared with the expected contributions from the relevant background sources (histograms). The expected signal distributions for $m_{H^{\pm\pm}} = 300~GeV$ are also shown, scaled to the observed number of events. The last bin includes overflows.
Distribution of $S$, which is one of the discriminating variables used to define the $2\ell^{sc}$ SRs. The events are selected with the preselection requirements listed in Table 4 in the paper. The data (dots) are compared with the expected contributions from the relevant background sources (histograms). The expected signal distributions for $m_{H^{\pm\pm}} = 300~GeV$ are also shown, scaled to the observed number of events. The last bin includes overflows.
Distribution of $E_{T}^{miss}$, which is one of the discriminating variables used to define the $3\ell$ SRs. The events are selected with the preselection requirements listed in Table 4 in the paper. The data (dots) are compared with the expected contributions from the relevant background sources (histograms). The expected signal distributions for $m_{H^{\pm\pm}} = 300~GeV$ are also shown, scaled to the observed number of events. The last bin includes overflows.
Distribution of $\Delta R_{\ell^{\pm}\ell^{\pm}}$, which is one of the discriminating variables used to define the $3\ell$ SRs. The events are selected with the preselection requirements listed in Table 4 in the paper. The data (dots) are compared with the expected contributions from the relevant background sources (histograms). The expected signal distributions for $m_{H^{\pm\pm}} = 300~GeV$ are also shown, scaled to the observed number of events. The last bin includes overflows.
Distribution of $m_{x\ell}$ ($x$=3), which is one of the discriminating variables used to define the $3\ell$ SRs. The events are selected with the preselection requirements listed in Table 4 in the paper. The data (dots) are compared with the expected contributions from the relevant background sources (histograms). The expected signal distributions for $m_{H^{\pm\pm}} = 300~GeV$ are also shown, scaled to the observed number of events. The last bin includes overflows.
Distribution of $p_{T}^{leading jet}$, which is one of the discriminating variables used to define the $3\ell$ SRs. The events are selected with the preselection requirements listed in Table 4 in the paper. The data (dots) are compared with the expected contributions from the relevant background sources (histograms). The expected signal distributions for $m_{H^{\pm\pm}} = 300~GeV$ are also shown, scaled to the observed number of events. The last bin includes overflows.
Distribution of $E_{T}^{miss}$, which is one of the discriminating variables used to define the $4\ell$ SRs. The events are selected with the preselection requirements listed in Table 4 in the paper. The data (dots) are compared with the expected contributions from the relevant background sources (histograms). The expected signal distributions for $m_{H^{\pm\pm}} = 300~GeV$ are also shown, scaled to the observed number of events. The last bin includes overflows.
Distribution of $\Delta R_{\ell^{\pm}\ell^{\pm}}^{min}$, which is one of the discriminating variables used to define the $4\ell$ SRs. The events are selected with the preselection requirements listed in Table 4 in the paper. The data (dots) are compared with the expected contributions from the relevant background sources (histograms). The expected signal distributions for $m_{H^{\pm\pm}} = 300~GeV$ are also shown, scaled to the observed number of events. The last bin includes overflows.
Distribution of $m_{x\ell}$ ($x$=4), which is one of the discriminating variables used to define the $4\ell$ SRs. The events are selected with the preselection requirements listed in Table 4 in the paper. The data (dots) are compared with the expected contributions from the relevant background sources (histograms). The expected signal distributions for $m_{H^{\pm\pm}} = 300~GeV$ are also shown, scaled to the observed number of events. The last bin includes overflows.
Distribution of $p_{T}^{\ell_{1}}$, which is one of the discriminating variables used to define the $4\ell$ SRs. The events are selected with the preselection requirements listed in Table 4 in the paper. The data (dots) are compared with the expected contributions from the relevant background sources (histograms). The expected signal distributions for $m_{H^{\pm\pm}} = 300~GeV$ are also shown, scaled to the observed number of events. The last bin includes overflows.
Contributions from different categories of uncertainties relative to the expected background yields in the defined SRs, as obtained after performing the likelihood ratio test discussed in Section 9 in the paper. The uncertainties are shown for the combination of the individual channels of the $2\ell^{sc}$, $3\ell$ and $4\ell$ SRs. The SRs are indicated along the horizontal axis. In the HEPData entry, the x-axis is simplified for easier visualisation. The first number indicates the sub channel (2:$2\ell^{sc}$, 3:$3\ell$, 4:$4\ell$), while the second number indicates the mass point (2:200, 3:300, 4:400, 5:500).
Data event yields compared with the expected contributions from relevant background sources, for the combination of the individual channels of the $2\ell^{sc}$, $3\ell$ and $4\ell$ SRs. The total uncertainties in the expected event yields are shown as the hatched bands. The SRs are indicated along the horizontal axis. In the HEPData entry, the x-axis is simplified for easier visualisation. The first number indicates the sub channel (2:$2\ell^{sc}$, 3:$3\ell$, 4:$4\ell$), while the second number indicates the mass point (2:200, 3:300, 4:400, 5:500).
The $E_{T}^{miss}$ distribution for the SRs of the $m_{H^{\pm\pm}} = 300~GeV$ signal mass hypothesis, where the selection requirement on $E_{T}^{miss}$ has been removed. In the attached plot, the signals are stacked on top of the backgrounds while individuals contributions of the $2\ell^{sc}$ channel are shown in HEPData. The last bin, isolated by a vertical red dashed line, is inclusive and corresponds to the SR.
The $E_{T}^{miss}$ distribution for the SRs of the $m_{H^{\pm\pm}} = 300~GeV$ signal mass hypothesis, where the selection requirement on $E_{T}^{miss}$ has been removed. In the attached plot, the signals are stacked on top of the backgrounds while individuals contributions of the $3\ell$ channel are shown in HEPData. The last bin, isolated by a vertical red dashed line, is inclusive and corresponds to the SR.
The $E_{T}^{miss}$ distribution for the SRs of the $m_{H^{\pm\pm}} = 300~GeV$ signal mass hypothesis, where the selection requirement on $E_{T}^{miss}$ has been removed. In the attached plot, the signals are stacked on top of the backgrounds while individuals contributions of the $4\ell$ channel are shown in HEPData. The last bin, isolated by a vertical red dashed line, is inclusive and corresponds to the SR.
Observed and expected upper limits of the $H^{\pm\pm}$ pair production cross section times branching fraction at 95% CL obtained from the combination of 2$\ell^{sc}$, 3$\ell$ and 4$\ell$ channels. The region above the observed limit is excluded by the measurement. The bands represent the expected exclusion curves within one and two standard deviations.
The theoretical prediction of Figure 9(a) in the paper.
Observed and expected upper limits of the $H^{\pm\pm}$ and $H^{\pm}$ production cross section times branching fraction at 95% CL obtained from the combination of 2$\ell^{sc}$, 3$\ell$ and 4$\ell$ channels. The region above the observed limit is excluded by the measurement. The bands represent the expected exclusion curves within one and two standard deviations.
The theoretical prediction of Figure 9(b) in the paper.
Data event yields compared with the estimated background in the $m_{H^{\pm\pm}} = 200~GeV$ or $m_{H^{\pm\pm}} = 220~GeV$ SRs. SFOC 0 and SFOC 1,2 refer to the number of same-flavour opposite charge lepton pairs. The total uncertainties in the estimated background yields are shown as the hashed bands. In the HEPData entry, the x-axis is simplified for easier visualisation (1:$e^{\pm}e^{\pm}$, 2:$e^{\pm}\mu^{\pm}$, 3:$\mu^{\pm}\mu^{\pm}$, 4:SFOC 0, 5:SFOC 1,2, 6:$4\ell$).
Data event yields compared with the estimated background in the $m_{H^{\pm\pm}} = 300~GeV$ or $m_{H^{\pm\pm}} = 350~GeV$ SRs. SFOC 0 and SFOC 1,2 refer to the number of same-flavour opposite charge lepton pairs. The total uncertainties in the estimated background yields are shown as the hashed bands. In the HEPData entry, the x-axis is simplified for easier visualisation (1:$e^{\pm}e^{\pm}$, 2:$e^{\pm}\mu^{\pm}$, 3:$\mu^{\pm}\mu^{\pm}$, 4:SFOC 0, 5:SFOC 1,2, 6:$4\ell$).
Data event yields compared with the estimated background in the $m_{H^{\pm\pm}} = 400~GeV$ or $m_{H^{\pm\pm}} = 450~GeV$ SRs. SFOC 0 and SFOC 1,2 refer to the number of same-flavour opposite charge lepton pairs. The total uncertainties in the estimated background yields are shown as the hashed bands. In the HEPData entry, the x-axis is simplified for easier visualisation (1:$e^{\pm}e^{\pm}$, 2:$e^{\pm}\mu^{\pm}$, 3:$\mu^{\pm}\mu^{\pm}$, 4:SFOC 0, 5:SFOC 1,2, 6:$4\ell$).
Data event yields compared with the estimated background in the $m_{H^{\pm\pm}} = 500~GeV$ or $m_{H^{\pm\pm}} = 550~GeV$ or $m_{H^{\pm\pm}} = 600~GeV$ SRs. SFOC 0 and SFOC 1,2 refer to the number of same-flavour opposite charge lepton pairs. The total uncertainties in the estimated background yields are shown as the hashed bands. In the HEPData entry, the x-axis is simplified for easier visualisation (1:$e^{\pm}e^{\pm}$, 2:$e^{\pm}\mu^{\pm}$, 3:$\mu^{\pm}\mu^{\pm}$, 4:SFOC 0, 5:SFOC 1,2, 6:$4\ell$).
A search for the decay of neutral, weakly interacting, long-lived particles using data collected by the ATLAS detector at the LHC is presented. The analysis in this paper uses 36.1 fb$^{-1}$ of proton-proton collision data at $\sqrt{s} = 13$ TeV recorded in 2015-2016. The search employs techniques for reconstructing vertices of long-lived particles decaying into jets in the muon spectrometer exploiting a two vertex strategy and a novel technique that requires only one vertex in association with additional activity in the detector that improves the sensitivity for longer lifetimes. The observed numbers of events are consistent with the expected background and limits for several benchmark signals are determined.
- - - - - - - - - - - - - - - - - - - - <br/><b>Muon RoI Cluster trigger efficiency:</b> <br/><i>mPhi=100:</i> <a href="85748?version=1&table=Table1">Barrel</a> <i>mPhi=125:</i> <a href="85748?version=1&table=Table2">Barrel</a> <br/><i>mPhi=200:</i> <a href="85748?version=1&table=Table3">Barrel</a> <i>mPhi=400:</i> <a href="85748?version=1&table=Table4">Barrel</a> <br/><i>mPhi=600:</i> <a href="85748?version=1&table=Table5">Barrel</a> <i>mPhi=1000:</i> <a href="85748?version=1&table=Table6">Barrel</a> <br/><i>Stealth SUSY:</i> <a href="85748?version=1&table=Table7">Barrel</a> <br/><i>Baryogenesis nubb:</i> <a href="85748?version=1&table=Table8">Barrel</a> <i>Baryogenesis cbs:</i> <a href="85748?version=1&table=Table9">Barrel</a> <br/><i>Baryogenesis lcb:</i> <a href="85748?version=1&table=Table10">Barrel</a> <i>Baryogenesis tautaunu:</i> <a href="85748?version=1&table=Table11">Barrel</a> <br/><i>mPhi=100:</i> <a href="85748?version=1&table=Table12">Endcaps</a> <i>mPhi=125:</i> <a href="85748?version=1&table=Table13">Endcaps </a> <br/><i>mPhi=200:</i> <a href="85748?version=1&table=Table14">Endcaps</a> <i>mPhi=400:</i> <a href="85748?version=1&table=Table15">Endcaps</a> <br/><i>mPhi=600:</i> <a href="85748?version=1&table=Table16">Endcaps</a> <i>mPhi=1000:</i> <a href="85748?version=1&table=Table17">Endcaps</a> <br/><i>Stealth SUSY:</i> <a href="85748?version=1&table=Table18">Endcaps</a> <br/><i>Baryogenesis nubb:</i> <a href="85748?version=1&table=Table19">Endcaps</a> <i>Baryogenesis cbs:</i> <a href="85748?version=1&table=Table20">Endcaps</a> <br/><i>Baryogenesis lcb:</i> <a href="85748?version=1&table=Table21">Endcaps</a> <i>Baryogenesis tautaunu:</i> <a href="85748?version=1&table=Table22">Endcaps</a> <br/><b>MS vertex efficiency:</b> <br/><i>mPhi=100:</i> <a href="85748?version=1&table=Table23">Barrel</a> <i>mPhi=125:</i> <a href="85748?version=1&table=Table24">Barrel</a> <br/><i>mPhi=200:</i> <a href="85748?version=1&table=Table25">Barrel</a> <i>mPhi=400:</i> <a href="85748?version=1&table=Table26">Barrel</a> <br/><i>mPhi=600:</i> <a href="85748?version=1&table=Table27">Barrel</a> <i>mPhi=1000:</i> <a href="85748?version=1&table=Table28">Barrel</a> <br/><i>Stealth SUSY:</i> <a href="85748?version=1&table=Table29">Barrel</a> <br/><i>Baryogenesis nubb:</i> <a href="85748?version=1&table=Table30">Barrel</a> <i>Baryogenesis cbs:</i> <a href="85748?version=1&table=Table31">Barrel</a> <br/><i>Baryogenesis lcb:</i> <a href="85748?version=1&table=Table32">Barrel</a> <i>Baryogenesis tautaunu:</i> <a href="85748?version=1&table=Table33">Barrel</a> <br/><i>mPhi=100:</i> <a href="85748?version=1&table=Table34">Endcaps</a> <i>mPhi=125:</i> <a href="85748?version=1&table=Table35">Endcaps</a> <br/><i>mPhi=200:</i> <a href="85748?version=1&table=Table36">Endcaps</a> <i>mPhi=400:</i> <a href="85748?version=1&table=Table37">Endcaps</a> <br/><i>mPhi=600:</i> <a href="85748?version=1&table=Table38">Endcaps</a> <i>mPhi=1000:</i> <a href="85748?version=1&table=Table39">Endcaps</a> <br/><i>Stealth SUSY:</i> <a href="85748?version=1&table=Table40">Endcaps</a> <br/><i>Baryogenesis nubb:</i> <a href="85748?version=1&table=Table41">Endcaps</a> <i>Baryogenesis cbs:</i> <a href="85748?version=1&table=Table42">Endcaps</a> <br/><i>Baryogenesis lcb:</i> <a href="85748?version=1&table=Table43">Endcaps</a> <i>Baryogenesis tautaunu:</i> <a href="85748?version=1&table=Table44">Endcaps</a> <br/><b>Exclusion limits:</b> <br/><i>mPhi=125, mS=5:</i> <a href="85748?version=1&table=Table45">2Vx</a> <a href="85748?version=1&table=Table46">1Vx</a> <a href="85748?version=1&table=Table47">Combined</a> <br/><i>mPhi=125, mS=8:</i> <a href="85748?version=1&table=Table48">2Vx</a> <a href="85748?version=1&table=Table49">1Vx</a> <a href="85748?version=1&table=Table50">Combined</a> <br/><i>mPhi=125, mS=15:</i> <a href="85748?version=1&table=Table51">2Vx</a> <a href="85748?version=1&table=Table52">1Vx</a> <a href="85748?version=1&table=Table53">Combined</a> <br/><i>mPhi=125, mS=25:</i> <a href="85748?version=1&table=Table54">2Vx</a> <a href="85748?version=1&table=Table55">1Vx</a> <a href="85748?version=1&table=Table56">Combined</a> <br/><i>mPhi=125, mS=40:</i> <a href="85748?version=1&table=Table57">2Vx</a> <a href="85748?version=1&table=Table58">1Vx</a> <a href="85748?version=1&table=Table59">Combined</a> <br/><i>Stealth SUSY mG=250:</i> <a href="85748?version=1&table=Table60">2Vx</a> <br/><i>Stealth SUSY mG=500:</i> <a href="85748?version=1&table=Table61">2Vx</a> <a href="85748?version=1&table=Table62">1Vx</a> <a href="85748?version=1&table=Table63">Combined</a> <br/><i>Stealth SUSY mG=800:</i> <a href="85748?version=1&table=Table64">2Vx</a> <a href="85748?version=1&table=Table65">1Vx</a> <a href="85748?version=1&table=Table66">Combined</a> <br/><i>Stealth SUSY mG=1200:</i> <a href="85748?version=1&table=Table67">2Vx</a> <a href="85748?version=1&table=Table68">1Vx</a> <a href="85748?version=1&table=Table69">Combined</a> <br/><i>Stealth SUSY mG=1500:</i> <a href="85748?version=1&table=Table70">2Vx</a> <a href="85748?version=1&table=Table71">1Vx</a> <a href="85748?version=1&table=Table72">Combined</a> <br/><i>Stealth SUSY mG=2000:</i> <a href="85748?version=1&table=Table73">2Vx</a> <a href="85748?version=1&table=Table74">1Vx</a> <a href="85748?version=1&table=Table75">Combined</a> <br/><i>mPhi=100, mS=8:</i> <a href="85748?version=1&table=Table76">2Vx</a> <br/><i>mPhi=100, mS=25:</i> <a href="85748?version=1&table=Table77">2Vx</a> <br/><i>mPhi=200, mS=8:</i> <a href="85748?version=1&table=Table78">2Vx</a> <br/><i>mPhi=200, mS=25:</i> <a href="85748?version=1&table=Table79">2Vx</a> <br/><i>mPhi=200, mS=50:</i> <a href="85748?version=1&table=Table80">2Vx</a> <br/><i>mPhi=400, mS=50:</i> <a href="85748?version=1&table=Table81">2Vx</a> <br/><i>mPhi=400, mS=100:</i> <a href="85748?version=1&table=Table82">2Vx</a> <br/><i>mPhi=600, mS=50:</i> <a href="85748?version=1&table=Table83">2Vx</a> <br/><i>mPhi=600, mS=150:</i> <a href="85748?version=1&table=Table84">2Vx</a> <br/><i>mPhi=1000, mS=50:</i> <a href="85748?version=1&table=Table85">2Vx</a> <br/><i>mPhi=1000, mS=150:</i> <a href="85748?version=1&table=Table86">2Vx</a> <br/><i>mPhi=1000, mS=400:</i> <a href="85748?version=1&table=Table87">2Vx</a> <br/><i>Baryogenesis nubb, mChi=10</i> <a href="85748?version=1&table=Table88">2Vx</a> <a href="85748?version=1&table=Table89">1Vx</a> <a href="85748?version=1&table=Table90">Combined</a> <br/><i>Baryogenesis nubb, mChi=30</i> <a href="85748?version=1&table=Table91">2Vx</a> <a href="85748?version=1&table=Table92">1Vx</a> <a href="85748?version=1&table=Table93">Combined</a> <br/><i>Baryogenesis nubb, mChi=50</i> <a href="85748?version=1&table=Table94">2Vx</a> <a href="85748?version=1&table=Table95">1Vx</a> <a href="85748?version=1&table=Table96">Combined</a> <br/><i>Baryogenesis nubb, mChi=100</i> <a href="85748?version=1&table=Table97">2Vx</a> <br/><i>Baryogenesis cbs, mChi=10</i> <a href="85748?version=1&table=Table98">2Vx</a> <a href="85748?version=1&table=Table99">1Vx</a> <a href="85748?version=1&table=Table100">Combined</a> <br/><i>Baryogenesis cbs, mChi=30</i> <a href="85748?version=1&table=Table101">2Vx</a> <a href="85748?version=1&table=Table102">1Vx</a> <a href="85748?version=1&table=Table103">Combined</a> <br/><i>Baryogenesis cbs, mChi=50</i> <a href="85748?version=1&table=Table104">2Vx</a> <a href="85748?version=1&table=Table105">1Vx</a> <a href="85748?version=1&table=Table106">Combined</a> <br/><i>Baryogenesis cbs, mChi=100</i> <a href="85748?version=1&table=Table107">2Vx</a> <br/><i>Baryogenesis lcb, mChi=10</i> <a href="85748?version=1&table=Table108">2Vx</a> <a href="85748?version=1&table=Table109">1Vx</a> <a href="85748?version=1&table=Table110">Combined</a> <br/><i>Baryogenesis lcb, mChi=30</i> <a href="85748?version=1&table=Table111">2Vx</a> <a href="85748?version=1&table=Table112">1Vx</a> <a href="85748?version=1&table=Table113">Combined</a> <br/><i>Baryogenesis lcb, mChi=50</i> <a href="85748?version=1&table=Table114">2Vx</a> <a href="85748?version=1&table=Table115">1Vx</a> <a href="85748?version=1&table=Table116">Combined</a> <br/><i>Baryogenesis lcb, mChi=100</i> <a href="85748?version=1&table=Table117">2Vx</a> <br/><i>Baryogenesis tatanu, mChi=10</i> <a href="85748?version=1&table=Table118">2Vx</a> <br/><i>Baryogenesis tatanu, mChi=30</i> <a href="85748?version=1&table=Table119">2Vx</a> <br/><i>Baryogenesis tatanu, mChi=50</i> <a href="85748?version=1&table=Table120">2Vx</a> <br/><i>Baryogenesis tatanu, mChi=100</i> <a href="85748?version=1&table=Table121">2Vx</a>
Barrel Muon RoI Cluster trigger efficiencies (in %) for $m_{\Phi}=100$ GeV scalar benchmark samples. The trigger efficiency is defined as the fraction of LLPs selected by the Muon RoI Cluster trigger as a function of the LLP decay position. The trigger is efficient for hadronic decays of LLPs that occur anywhere from the outer regions of the HCal to the middle station of the MS. These efficiencies are obtained from the subset of events with only a single LLP decay in the muon spectrometer in order to ensure that the result of the trigger is due to a single burst of MS activity. The uncertainties shown are statistical only. The relative differences in efficiencies of the benchmark samples are a result of the different kinematics.
Barrel Muon RoI Cluster trigger efficiencies (in %) for $m_{\Phi}=125$ GeV scalar benchmark samples. The trigger efficiency is defined as the fraction of LLPs selected by the Muon RoI Cluster trigger as a function of the LLP decay position. The trigger is efficient for hadronic decays of LLPs that occur anywhere from the outer regions of the HCal to the middle station of the MS. These efficiencies are obtained from the subset of events with only a single LLP decay in the muon spectrometer in order to ensure that the result of the trigger is due to a single burst of MS activity. The uncertainties shown are statistical only. The relative differences in efficiencies of the benchmark samples are a result of the different kinematics.
Barrel Muon RoI Cluster trigger efficiencies (in %) for $m_{\Phi}=200$ GeV scalar benchmark samples. The trigger efficiency is defined as the fraction of LLPs selected by the Muon RoI Cluster trigger as a function of the LLP decay position. The trigger is efficient for hadronic decays of LLPs that occur anywhere from the outer regions of the HCal to the middle station of the MS. These efficiencies are obtained from the subset of events with only a single LLP decay in the muon spectrometer in order to ensure that the result of the trigger is due to a single burst of MS activity. The uncertainties shown are statistical only. The relative differences in efficiencies of the benchmark samples are a result of the different kinematics.
Barrel Muon RoI Cluster trigger efficiencies (in %) for $m_{\Phi}=400$ GeV scalar benchmark samples. The trigger efficiency is defined as the fraction of LLPs selected by the Muon RoI Cluster trigger as a function of the LLP decay position. The trigger is efficient for hadronic decays of LLPs that occur anywhere from the outer regions of the HCal to the middle station of the MS. These efficiencies are obtained from the subset of events with only a single LLP decay in the muon spectrometer in order to ensure that the result of the trigger is due to a single burst of MS activity. The uncertainties shown are statistical only. The relative differences in efficiencies of the benchmark samples are a result of the different kinematics.
Barrel Muon RoI Cluster trigger efficiencies (in %) for $m_{\Phi}=600$ GeV scalar benchmark samples. The trigger efficiency is defined as the fraction of LLPs selected by the Muon RoI Cluster trigger as a function of the LLP decay position. The trigger is efficient for hadronic decays of LLPs that occur anywhere from the outer regions of the HCal to the middle station of the MS. These efficiencies are obtained from the subset of events with only a single LLP decay in the muon spectrometer in order to ensure that the result of the trigger is due to a single burst of MS activity. The uncertainties shown are statistical only. The relative differences in efficiencies of the benchmark samples are a result of the different kinematics.
Barrel Muon RoI Cluster trigger efficiencies (in %) for $m_{\Phi}=1000$ GeV scalar benchmark samples. The trigger efficiency is defined as the fraction of LLPs selected by the Muon RoI Cluster trigger as a function of the LLP decay position. The trigger is efficient for hadronic decays of LLPs that occur anywhere from the outer regions of the HCal to the middle station of the MS. These efficiencies are obtained from the subset of events with only a single LLP decay in the muon spectrometer in order to ensure that the result of the trigger is due to a single burst of MS activity. The uncertainties shown are statistical only. The relative differences in efficiencies of the benchmark samples are a result of the different kinematics.
Barrel Muon RoI Cluster trigger efficiencies (in %) for all Stealth SUSY benchmark samples. The trigger efficiency is defined as the fraction of LLPs selected by the Muon RoI Cluster trigger as a function of the LLP decay position. The trigger is efficient for hadronic decays of LLPs that occur anywhere from the outer regions of the HCal to the middle station of the MS. These efficiencies are obtained from the subset of events with only a single LLP decay in the muon spectrometer in order to ensure that the result of the trigger is due to a single burst of MS activity. The uncertainties shown are statistical only. The relative differences in efficiencies of the benchmark samples are a result of the different kinematics.
Barrel Muon RoI Cluster trigger efficiencies (in %) for baryogenesis $\chi \rightarrow \nu b \bar{b}$ benchmark samples ($m_{h}=125$ GeV). The trigger efficiency is defined as the fraction of LLPs selected by the Muon RoI Cluster trigger as a function of the LLP decay position. The trigger is efficient for hadronic decays of LLPs that occur anywhere from the outer regions of the HCal to the middle station of the MS. These efficiencies are obtained from the subset of events with only a single LLP decay in the muon spectrometer in order to ensure that the result of the trigger is due to a single burst of MS activity. The uncertainties shown are statistical only. The relative differences in efficiencies of the benchmark samples are a result of the different kinematics.
Barrel Muon RoI Cluster trigger efficiencies (in %) for baryogenesis $\chi \rightarrow cbs$ benchmark samples ($m_{h}=125$ GeV). The trigger efficiency is defined as the fraction of LLPs selected by the Muon RoI Cluster trigger as a function of the LLP decay position. The trigger is efficient for hadronic decays of LLPs that occur anywhere from the outer regions of the HCal to the middle station of the MS. These efficiencies are obtained from the subset of events with only a single LLP decay in the muon spectrometer in order to ensure that the result of the trigger is due to a single burst of MS activity. The uncertainties shown are statistical only. The relative differences in efficiencies of the benchmark samples are a result of the different kinematics.
Barrel Muon RoI Cluster trigger efficiencies (in %) for baryogenesis $\chi \rightarrow lcb$ benchmark samples ($m_{h}=125$ GeV). The trigger efficiency is defined as the fraction of LLPs selected by the Muon RoI Cluster trigger as a function of the LLP decay position. The trigger is efficient for hadronic decays of LLPs that occur anywhere from the outer regions of the HCal to the middle station of the MS. These efficiencies are obtained from the subset of events with only a single LLP decay in the muon spectrometer in order to ensure that the result of the trigger is due to a single burst of MS activity. The uncertainties shown are statistical only. The relative differences in efficiencies of the benchmark samples are a result of the different kinematics.
Barrel Muon RoI Cluster trigger efficiencies (in %) for baryogenesis $\chi \rightarrow \tau\tau\nu$ benchmark samples ($m_{h}=125$ GeV). The trigger efficiency is defined as the fraction of LLPs selected by the Muon RoI Cluster trigger as a function of the LLP decay position. The trigger is efficient for hadronic decays of LLPs that occur anywhere from the outer regions of the HCal to the middle station of the MS. These efficiencies are obtained from the subset of events with only a single LLP decay in the muon spectrometer in order to ensure that the result of the trigger is due to a single burst of MS activity. The uncertainties shown are statistical only. The relative differences in efficiencies of the benchmark samples are a result of the different kinematics.
Endcap Muon RoI Cluster trigger efficiencies (in %) for $m_{\Phi}=100$ GeV scalar benchmark samples. The trigger efficiency is defined as the fraction of LLPs selected by the Muon RoI Cluster trigger as a function of the LLP decay position. The trigger is efficient for hadronic decays of LLPs that occur anywhere from the outer regions of the HCal to the middle station of the MS. These efficiencies are obtained from the subset of events with only a single LLP decay in the muon spectrometer in order to ensure that the result of the trigger is due to a single burst of MS activity. The uncertainties shown are statistical only. The relative differences in efficiencies of the benchmark samples are a result of the different kinematics.
Endcap Muon RoI Cluster trigger efficiencies (in %) for $m_{\Phi}=125$ GeV scalar benchmark samples. The trigger efficiency is defined as the fraction of LLPs selected by the Muon RoI Cluster trigger as a function of the LLP decay position. The trigger is efficient for hadronic decays of LLPs that occur anywhere from the outer regions of the HCal to the middle station of the MS. These efficiencies are obtained from the subset of events with only a single LLP decay in the muon spectrometer in order to ensure that the result of the trigger is due to a single burst of MS activity. The uncertainties shown are statistical only. The relative differences in efficiencies of the benchmark samples are a result of the different kinematics.
Endcap Muon RoI Cluster trigger efficiencies (in %) for $m_{\Phi}=200$ GeV scalar benchmark samples. The trigger efficiency is defined as the fraction of LLPs selected by the Muon RoI Cluster trigger as a function of the LLP decay position. The trigger is efficient for hadronic decays of LLPs that occur anywhere from the outer regions of the HCal to the middle station of the MS. These efficiencies are obtained from the subset of events with only a single LLP decay in the muon spectrometer in order to ensure that the result of the trigger is due to a single burst of MS activity. The uncertainties shown are statistical only. The relative differences in efficiencies of the benchmark samples are a result of the different kinematics.
Endcap Muon RoI Cluster trigger efficiencies (in %) for $m_{\Phi}=400$ GeV scalar benchmark samples. The trigger efficiency is defined as the fraction of LLPs selected by the Muon RoI Cluster trigger as a function of the LLP decay position. The trigger is efficient for hadronic decays of LLPs that occur anywhere from the outer regions of the HCal to the middle station of the MS. These efficiencies are obtained from the subset of events with only a single LLP decay in the muon spectrometer in order to ensure that the result of the trigger is due to a single burst of MS activity. The uncertainties shown are statistical only. The relative differences in efficiencies of the benchmark samples are a result of the different kinematics.
Endcap Muon RoI Cluster trigger efficiencies (in %) for $m_{\Phi}=600$ GeV scalar benchmark samples. The trigger efficiency is defined as the fraction of LLPs selected by the Muon RoI Cluster trigger as a function of the LLP decay position. The trigger is efficient for hadronic decays of LLPs that occur anywhere from the outer regions of the HCal to the middle station of the MS. These efficiencies are obtained from the subset of events with only a single LLP decay in the muon spectrometer in order to ensure that the result of the trigger is due to a single burst of MS activity. The uncertainties shown are statistical only. The relative differences in efficiencies of the benchmark samples are a result of the different kinematics.
Endcap Muon RoI Cluster trigger efficiencies (in %) for $m_{\Phi}=1000$ GeV scalar benchmark samples. The trigger efficiency is defined as the fraction of LLPs selected by the Muon RoI Cluster trigger as a function of the LLP decay position. The trigger is efficient for hadronic decays of LLPs that occur anywhere from the outer regions of the HCal to the middle station of the MS. These efficiencies are obtained from the subset of events with only a single LLP decay in the muon spectrometer in order to ensure that the result of the trigger is due to a single burst of MS activity. The uncertainties shown are statistical only. The relative differences in efficiencies of the benchmark samples are a result of the different kinematics.
Endcap Muon RoI Cluster trigger efficiencies (in %) for all Stealth SUSY benchmark samples. The trigger efficiency is defined as the fraction of LLPs selected by the Muon RoI Cluster trigger as a function of the LLP decay position. The trigger is efficient for hadronic decays of LLPs that occur anywhere from the outer regions of the HCal to the middle station of the MS. These efficiencies are obtained from the subset of events with only a single LLP decay in the muon spectrometer in order to ensure that the result of the trigger is due to a single burst of MS activity. The uncertainties shown are statistical only. The relative differences in efficiencies of the benchmark samples are a result of the different kinematics.
Endcap Muon RoI Cluster trigger efficiencies (in %) for baryogenesis $\chi \rightarrow \nu b \bar{b}$ benchmark samples ($m_{h}=125$ GeV). The trigger efficiency is defined as the fraction of LLPs selected by the Muon RoI Cluster trigger as a function of the LLP decay position. The trigger is efficient for hadronic decays of LLPs that occur anywhere from the outer regions of the HCal to the middle station of the MS. These efficiencies are obtained from the subset of events with only a single LLP decay in the muon spectrometer in order to ensure that the result of the trigger is due to a single burst of MS activity. The uncertainties shown are statistical only. The relative differences in efficiencies of the benchmark samples are a result of the different kinematics.
Endcap Muon RoI Cluster trigger efficiencies (in %) for baryogenesis $\chi \rightarrow cbs$ benchmark samples ($m_{h}=125$ GeV). The trigger efficiency is defined as the fraction of LLPs selected by the Muon RoI Cluster trigger as a function of the LLP decay position. The trigger is efficient for hadronic decays of LLPs that occur anywhere from the outer regions of the HCal to the middle station of the MS. These efficiencies are obtained from the subset of events with only a single LLP decay in the muon spectrometer in order to ensure that the result of the trigger is due to a single burst of MS activity. The uncertainties shown are statistical only. The relative differences in efficiencies of the benchmark samples are a result of the different kinematics.
Endcap Muon RoI Cluster trigger efficiencies (in %) for baryogenesis $\chi \rightarrow lcb$ benchmark samples ($m_{h}=125$ GeV). The trigger efficiency is defined as the fraction of LLPs selected by the Muon RoI Cluster trigger as a function of the LLP decay position. The trigger is efficient for hadronic decays of LLPs that occur anywhere from the outer regions of the HCal to the middle station of the MS. These efficiencies are obtained from the subset of events with only a single LLP decay in the muon spectrometer in order to ensure that the result of the trigger is due to a single burst of MS activity. The uncertainties shown are statistical only. The relative differences in efficiencies of the benchmark samples are a result of the different kinematics.
Endcap Muon RoI Cluster trigger efficiencies (in %) for baryogenesis $\chi \rightarrow \tau\tau\nu$ benchmark samples ($m_{h}=125$ GeV). The trigger efficiency is defined as the fraction of LLPs selected by the Muon RoI Cluster trigger as a function of the LLP decay position. The trigger is efficient for hadronic decays of LLPs that occur anywhere from the outer regions of the HCal to the middle station of the MS. These efficiencies are obtained from the subset of events with only a single LLP decay in the muon spectrometer in order to ensure that the result of the trigger is due to a single burst of MS activity. The uncertainties shown are statistical only. The relative differences in efficiencies of the benchmark samples are a result of the different kinematics.
Barrel MS vertex efficiencies (in %) for $m_{\Phi}=100$ GeV scalar benchmark samples. The vertex reconstruction efficiency is defined as the fraction of simulated LLP decays in the MS fiducial volume that match a reconstructed vertex ($\Delta R(\textrm{LLP,vertex}) = 0.4$) passing the baseline event selection and satisfying the vertex isolation criteria. A vertex is considered matched to a displaced decay if the vertex is within $\Delta R = 0.4$ of the simulated decay position. The MS vertex efficiency is parameterized as a function of the LLP decay position.
Barrel MS vertex efficiencies (in %) for $m_{\Phi}=125$ GeV scalar benchmark samples. The vertex reconstruction efficiency is defined as the fraction of simulated LLP decays in the MS fiducial volume that match a reconstructed vertex ($\Delta R(\textrm{LLP,vertex}) = 0.4$) passing the baseline event selection and satisfying the vertex isolation criteria. A vertex is considered matched to a displaced decay if the vertex is within $\Delta R = 0.4$ of the simulated decay position. The MS vertex efficiency is parameterized as a function of the LLP decay position.
Barrel MS vertex efficiencies (in %) for $m_{\Phi}=200$ GeV scalar benchmark samples. The vertex reconstruction efficiency is defined as the fraction of simulated LLP decays in the MS fiducial volume that match a reconstructed vertex ($\Delta R(\textrm{LLP,vertex}) = 0.4$) passing the baseline event selection and satisfying the vertex isolation criteria. A vertex is considered matched to a displaced decay if the vertex is within $\Delta R = 0.4$ of the simulated decay position. The MS vertex efficiency is parameterized as a function of the LLP decay position.
Barrel MS vertex efficiencies (in %) for $m_{\Phi}=400$ GeV scalar benchmark samples. The vertex reconstruction efficiency is defined as the fraction of simulated LLP decays in the MS fiducial volume that match a reconstructed vertex ($\Delta R(\textrm{LLP,vertex}) = 0.4$) passing the baseline event selection and satisfying the vertex isolation criteria. A vertex is considered matched to a displaced decay if the vertex is within $\Delta R = 0.4$ of the simulated decay position. The MS vertex efficiency is parameterized as a function of the LLP decay position.
Barrel MS vertex efficiencies (in %) for $m_{\Phi}=600$ GeV scalar benchmark samples. The vertex reconstruction efficiency is defined as the fraction of simulated LLP decays in the MS fiducial volume that match a reconstructed vertex ($\Delta R(\textrm{LLP,vertex}) = 0.4$) passing the baseline event selection and satisfying the vertex isolation criteria. A vertex is considered matched to a displaced decay if the vertex is within $\Delta R = 0.4$ of the simulated decay position. The MS vertex efficiency is parameterized as a function of the LLP decay position.
Barrel MS vertex efficiencies (in %) for $m_{\Phi}=1000$ GeV scalar benchmark samples. The vertex reconstruction efficiency is defined as the fraction of simulated LLP decays in the MS fiducial volume that match a reconstructed vertex ($\Delta R(\textrm{LLP,vertex}) = 0.4$) passing the baseline event selection and satisfying the vertex isolation criteria. A vertex is considered matched to a displaced decay if the vertex is within $\Delta R = 0.4$ of the simulated decay position. The MS vertex efficiency is parameterized as a function of the LLP decay position.
Barrel MS vertex efficiencies (in %) for all Stealth SUSY benchmark samples. The vertex reconstruction efficiency is defined as the fraction of simulated LLP decays in the MS fiducial volume that match a reconstructed vertex ($\Delta R(\textrm{LLP,vertex}) = 0.4$) passing the baseline event selection and satisfying the vertex isolation criteria. A vertex is considered matched to a displaced decay if the vertex is within $\Delta R = 0.4$ of the simulated decay position. The MS vertex efficiency is parameterized as a function of the LLP decay position.
Barrel MS vertex efficiencies (in %) for baryogenesis $\chi \rightarrow \nu b \bar{b}$ benchmark samples ($m_{h}=125$ GeV). The vertex reconstruction efficiency is defined as the fraction of simulated LLP decays in the MS fiducial volume that match a reconstructed vertex ($\Delta R(\textrm{LLP,vertex}) = 0.4$) passing the baseline event selection and satisfying the vertex isolation criteria. A vertex is considered matched to a displaced decay if the vertex is within $\Delta R = 0.4$ of the simulated decay position. The MS vertex efficiency is parameterized as a function of the LLP decay position.
Barrel MS vertex efficiencies (in %) for baryogenesis $\chi \rightarrow cbs$ benchmark samples ($m_{h}=125$ GeV). The vertex reconstruction efficiency is defined as the fraction of simulated LLP decays in the MS fiducial volume that match a reconstructed vertex ($\Delta R(\textrm{LLP,vertex}) = 0.4$) passing the baseline event selection and satisfying the vertex isolation criteria. A vertex is considered matched to a displaced decay if the vertex is within $\Delta R = 0.4$ of the simulated decay position. The MS vertex efficiency is parameterized as a function of the LLP decay position.
Barrel MS vertex efficiencies (in %) for baryogenesis $\chi \rightarrow lcb$ benchmark samples ($m_{h}=125$ GeV). The vertex reconstruction efficiency is defined as the fraction of simulated LLP decays in the MS fiducial volume that match a reconstructed vertex ($\Delta R(\textrm{LLP,vertex}) = 0.4$) passing the baseline event selection and satisfying the vertex isolation criteria. A vertex is considered matched to a displaced decay if the vertex is within $\Delta R = 0.4$ of the simulated decay position. The MS vertex efficiency is parameterized as a function of the LLP decay position.
Barrel MS vertex efficiencies (in %) for baryogenesis $\chi \rightarrow \tau\tau\nu$ benchmark samples ($m_{h}=125$ GeV). The vertex reconstruction efficiency is defined as the fraction of simulated LLP decays in the MS fiducial volume that match a reconstructed vertex ($\Delta R(\textrm{LLP,vertex}) = 0.4$) passing the baseline event selection and satisfying the vertex isolation criteria. A vertex is considered matched to a displaced decay if the vertex is within $\Delta R = 0.4$ of the simulated decay position. The MS vertex efficiency is parameterized as a function of the LLP decay position.
Endcap MS vertex efficiencies (in %) for $m_{\Phi}=100$ GeV scalar benchmark samples. The vertex reconstruction efficiency is defined as the fraction of simulated LLP decays in the MS fiducial volume that match a reconstructed vertex ($\Delta R(\textrm{LLP,vertex}) = 0.4$) passing the baseline event selection and satisfying the vertex isolation criteria. A vertex is considered matched to a displaced decay if the vertex is within $\Delta R = 0.4$ of the simulated decay position. The MS vertex efficiency is parameterized as a function of the LLP decay position.
Endcap MS vertex efficiencies (in %) for $m_{\Phi}=125$ GeV scalar benchmark samples. The vertex reconstruction efficiency is defined as the fraction of simulated LLP decays in the MS fiducial volume that match a reconstructed vertex ($\Delta R(\textrm{LLP,vertex}) = 0.4$) passing the baseline event selection and satisfying the vertex isolation criteria. A vertex is considered matched to a displaced decay if the vertex is within $\Delta R = 0.4$ of the simulated decay position. The MS vertex efficiency is parameterized as a function of the LLP decay position.
Endcap MS vertex efficiencies (in %) for $m_{\Phi}=200$ GeV scalar benchmark samples. The vertex reconstruction efficiency is defined as the fraction of simulated LLP decays in the MS fiducial volume that match a reconstructed vertex ($\Delta R(\textrm{LLP,vertex}) = 0.4$) passing the baseline event selection and satisfying the vertex isolation criteria. A vertex is considered matched to a displaced decay if the vertex is within $\Delta R = 0.4$ of the simulated decay position. The MS vertex efficiency is parameterized as a function of the LLP decay position.
Endcap MS vertex efficiencies (in %) for $m_{\Phi}=400$ GeV scalar benchmark samples. The vertex reconstruction efficiency is defined as the fraction of simulated LLP decays in the MS fiducial volume that match a reconstructed vertex ($\Delta R(\textrm{LLP,vertex}) = 0.4$) passing the baseline event selection and satisfying the vertex isolation criteria. A vertex is considered matched to a displaced decay if the vertex is within $\Delta R = 0.4$ of the simulated decay position. The MS vertex efficiency is parameterized as a function of the LLP decay position.
Endcap MS vertex efficiencies (in %) for $m_{\Phi}=600$ GeV scalar benchmark samples. The vertex reconstruction efficiency is defined as the fraction of simulated LLP decays in the MS fiducial volume that match a reconstructed vertex ($\Delta R(\textrm{LLP,vertex}) = 0.4$) passing the baseline event selection and satisfying the vertex isolation criteria. A vertex is considered matched to a displaced decay if the vertex is within $\Delta R = 0.4$ of the simulated decay position. The MS vertex efficiency is parameterized as a function of the LLP decay position.
Endcap MS vertex efficiencies (in %) for $m_{\Phi}=1000$ GeV scalar benchmark samples. The vertex reconstruction efficiency is defined as the fraction of simulated LLP decays in the MS fiducial volume that match a reconstructed vertex ($\Delta R(\textrm{LLP,vertex}) = 0.4$) passing the baseline event selection and satisfying the vertex isolation criteria. A vertex is considered matched to a displaced decay if the vertex is within $\Delta R = 0.4$ of the simulated decay position. The MS vertex efficiency is parameterized as a function of the LLP decay position.
Endcap MS vertex efficiencies (in %) for all Stealth SUSY benchmark samples. The vertex reconstruction efficiency is defined as the fraction of simulated LLP decays in the MS fiducial volume that match a reconstructed vertex ($\Delta R(\textrm{LLP,vertex}) = 0.4$) passing the baseline event selection and satisfying the vertex isolation criteria. A vertex is considered matched to a displaced decay if the vertex is within $\Delta R = 0.4$ of the simulated decay position. The MS vertex efficiency is parameterized as a function of the LLP decay position.
Endcap MS vertex efficiencies (in %) for baryogenesis $\chi \rightarrow \nu b \bar{b}$ benchmark samples ($m_{h}=125$ GeV). The vertex reconstruction efficiency is defined as the fraction of simulated LLP decays in the MS fiducial volume that match a reconstructed vertex ($\Delta R(\textrm{LLP,vertex}) = 0.4$) passing the baseline event selection and satisfying the vertex isolation criteria. A vertex is considered matched to a displaced decay if the vertex is within $\Delta R = 0.4$ of the simulated decay position. The MS vertex efficiency is parameterized as a function of the LLP decay position.
Endcap MS vertex efficiencies (in %) for baryogenesis $\chi \rightarrow cbs$ benchmark samples ($m_{h}=125$ GeV). The vertex reconstruction efficiency is defined as the fraction of simulated LLP decays in the MS fiducial volume that match a reconstructed vertex ($\Delta R(\textrm{LLP,vertex}) = 0.4$) passing the baseline event selection and satisfying the vertex isolation criteria. A vertex is considered matched to a displaced decay if the vertex is within $\Delta R = 0.4$ of the simulated decay position. The MS vertex efficiency is parameterized as a function of the LLP decay position.
Endcap MS vertex efficiencies (in %) for baryogenesis $\chi \rightarrow lcb$ benchmark samples ($m_{h}=125$ GeV). The vertex reconstruction efficiency is defined as the fraction of simulated LLP decays in the MS fiducial volume that match a reconstructed vertex ($\Delta R(\textrm{LLP,vertex}) = 0.4$) passing the baseline event selection and satisfying the vertex isolation criteria. A vertex is considered matched to a displaced decay if the vertex is within $\Delta R = 0.4$ of the simulated decay position. The MS vertex efficiency is parameterized as a function of the LLP decay position.
Endcap MS vertex efficiencies (in %) for baryogenesis $\chi \rightarrow \tau\tau\nu$ benchmark samples ($m_{h}=125$ GeV). The vertex reconstruction efficiency is defined as the fraction of simulated LLP decays in the MS fiducial volume that match a reconstructed vertex ($\Delta R(\textrm{LLP,vertex}) = 0.4$) passing the baseline event selection and satisfying the vertex isolation criteria. A vertex is considered matched to a displaced decay if the vertex is within $\Delta R = 0.4$ of the simulated decay position. The MS vertex efficiency is parameterized as a function of the LLP decay position.
Upper 95% CL limits on $\sigma/\sigma_{\textrm{SM}}\times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=125$ GeV and $m_{s}=5$ GeV scalar benchmark sample for 2MSVx strategy.
Upper 95% CL limits on $\sigma/\sigma_{\textrm{SM}}\times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=125$ GeV and $m_{s}=5$ GeV scalar benchmark sample for 1MSVx strategy.
Upper 95% CL limits on $\sigma/\sigma_{\textrm{SM}}\times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=125$ GeV and $m_{s}=5$ GeV scalar benchmark sample for the combination of 1MSVx and 2MSVx strategies.
Upper 95% CL limits on $\sigma/\sigma_{\textrm{SM}}\times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=125$ GeV and $m_{s}=8$ GeV scalar benchmark sample for 2MSVx strategy.
Upper 95% CL limits on $\sigma/\sigma_{\textrm{SM}}\times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=125$ GeV and $m_{s}=8$ GeV scalar benchmark sample for 1MSVx strategy.
Upper 95% CL limits on $\sigma/\sigma_{\textrm{SM}}\times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=125$ GeV and $m_{s}=8$ GeV scalar benchmark sample for the combination of 1MSVx and 2MSVx strategies.
Upper 95% CL limits on $\sigma/\sigma_{\textrm{SM}}\times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=125$ GeV and $m_{s}=15$ GeV scalar benchmark sample for 2MSVx strategy.
Upper 95% CL limits on $\sigma/\sigma_{\textrm{SM}}\times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=125$ GeV and $m_{s}=15$ GeV scalar benchmark sample for 1MSVx strategy.
Upper 95% CL limits on $\sigma/\sigma_{\textrm{SM}}\times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=125$ GeV and $m_{s}=15$ GeV scalar benchmark sample for the combination of 1MSVx and 2MSVx strategies.
Upper 95% CL limits on $\sigma/\sigma_{\textrm{SM}}\times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=125$ GeV and $m_{s}=25$ GeV scalar benchmark sample for 2MSVx strategy.
Upper 95% CL limits on $\sigma/\sigma_{\textrm{SM}}\times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=125$ GeV and $m_{s}=25$ GeV scalar benchmark sample for 1MSVx strategy.
Upper 95% CL limits on $\sigma/\sigma_{\textrm{SM}}\times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=125$ GeV and $m_{s}=25$ GeV scalar benchmark sample for the combination of 1MSVx and 2MSVx strategies.
Upper 95% CL limits on $\sigma/\sigma_{\textrm{SM}}\times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=125$ GeV and $m_{s}=40$ GeV scalar benchmark sample for 2MSVx strategy.
Upper 95% CL limits on $\sigma/\sigma_{\textrm{SM}}\times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=125$ GeV and $m_{s}=40$ GeV scalar benchmark sample for 1MSVx strategy.
Upper 95% CL limits on $\sigma/\sigma_{\textrm{SM}}\times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=125$ GeV and $m_{s}=40$ GeV scalar benchmark sample for the combination of 1MSVx and 2MSVx strategies.
Upper 95% CL limits on $\sigma \times B_{\tilde{g} \rightarrow \tilde{S} g}$ as a function of the proper lifetime $c\tau$ for $m_{\tilde{g}}=250$ GeV for 2MSVx strategy.
Upper 95% CL limits on $\sigma \times B_{\tilde{g} \rightarrow \tilde{S} g}$ as a function of the proper lifetime $c\tau$ for $m_{\tilde{g}}=500$ GeV for 2MSVx strategy.
Upper 95% CL limits on $\sigma \times B_{\tilde{g} \rightarrow \tilde{S} g}$ as a function of the proper lifetime $c\tau$ for $m_{\tilde{g}}=500$ GeV for 1MSVx strategy.
Upper 95% CL limits on $\sigma \times B_{\tilde{g} \rightarrow \tilde{S} g}$ as a function of the proper lifetime $c\tau$ for $m_{\tilde{g}}=500$ GeV for the combination of 1MSVx and 2MSVx strategies.
Upper 95% CL limits $\sigma \times B_{\tilde{g} \rightarrow \tilde{S} g}$ as a function of the proper lifetime $c\tau$ for $m_{\tilde{g}}=800$ GeV for 2MSVx strategy.
Upper 95% CL limits $\sigma \times B_{\tilde{g} \rightarrow \tilde{S} g}$ as a function of the proper lifetime $c\tau$ for $m_{\tilde{g}}=800$ GeV for 1MSVx strategy.
Upper 95% CL limits $\sigma \times B_{\tilde{g} \rightarrow \tilde{S} g}$ as a function of the proper lifetime $c\tau$ for $m_{\tilde{g}}=800$ GeV for the combination of 1MSVx and 2MSVx strategies.
Upper 95% CL limits $\sigma \times B_{\tilde{g} \rightarrow \tilde{S} g}$ as a function of the proper lifetime $c\tau$ for $m_{\tilde{g}}=1200$ GeV for 2MSVx strategy.
Upper 95% CL limits $\sigma \times B_{\tilde{g} \rightarrow \tilde{S} g}$ as a function of the proper lifetime $c\tau$ for $m_{\tilde{g}}=1200$ GeV for 1MSVx strategy.
Upper 95% CL limits $\sigma \times B_{\tilde{g} \rightarrow \tilde{S} g}$ as a function of the proper lifetime $c\tau$ for $m_{\tilde{g}}=1200$ GeV for the combination of 1MSVx and 2MSVx strategies.
Upper 95% CL limits $\sigma \times B_{\tilde{g} \rightarrow \tilde{S} g}$ as a function of the proper lifetime $c\tau$ for $m_{\tilde{g}}=1500$ GeV for 2MSVx strategy.
Upper 95% CL limits $\sigma \times B_{\tilde{g} \rightarrow \tilde{S} g}$ as a function of the proper lifetime $c\tau$ for $m_{\tilde{g}}=1500$ GeV for 1MSVx strategy.
Upper 95% CL limits $\sigma \times B_{\tilde{g} \rightarrow \tilde{S} g}$ as a function of the proper lifetime $c\tau$ for $m_{\tilde{g}}=1500$ GeV for the combination of 1MSVx and 2MSVx strategies.
Upper 95% CL limits $\sigma \times B_{\tilde{g} \rightarrow \tilde{S} g}$ as a function of the proper lifetime $c\tau$ for $m_{\tilde{g}}=2000$ GeV for 2MSVx strategy.
Upper 95% CL limits $\sigma \times B_{\tilde{g} \rightarrow \tilde{S} g}$ as a function of the proper lifetime $c\tau$ for $m_{\tilde{g}}=2000$ GeV for 1MSVx strategy.
Upper 95% CL limits $\sigma \times B_{\tilde{g} \rightarrow \tilde{S} g}$ as a function of the proper lifetime $c\tau$ for $m_{\tilde{g}}=2000$ GeV for the combination of 1MSVx and 2MSVx strategies.
Upper 95% CL limits on $\sigma \times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=100$ GeV and $m_{s}=8$ GeV scalar benchmark sample for 2MSVx strategy.
Upper 95% CL limits on $\sigma \times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=100$ GeV and $m_{s}=25$ GeV scalar benchmark sample for 2MSVx strategy.
Upper 95% CL limits on $\sigma \times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=200$ GeV and $m_{s}=8$ GeV scalar benchmark sample for 2MSVx strategy.
Upper 95% CL limits on $\sigma \times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=200$ GeV and $m_{s}=25$ GeV scalar benchmark sample for 2MSVx strategy.
Upper 95% CL limits on $\sigma \times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=200$ GeV and $m_{s}=50$ GeV scalar benchmark sample for 2MSVx strategy.
Upper 95% CL limits on $\sigma \times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=400$ GeV and $m_{s}=50$ GeV scalar benchmark sample for 2MSVx strategy.
Upper 95% CL limits on $\sigma \times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=400$ GeV and $m_{s}=100$ GeV scalar benchmark sample for 2MSVx strategy.
Upper 95% CL limits on $\sigma \times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=600$ GeV and $m_{s}=50$ GeV scalar benchmark sample for 2MSVx strategy.
Upper 95% CL limits on $\sigma \times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=600$ GeV and $m_{s}=150$ GeV scalar benchmark sample for 2MSVx strategy.
Upper 95% CL limits on $\sigma \times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=1000$ GeV and $m_{s}=50$ GeV scalar benchmark sample for 2MSVx strategy.
Upper 95% CL limits on $\sigma \times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=1000$ GeV and $m_{s}=150$ GeV scalar benchmark sample for 2MSVx strategy.
Upper 95% CL limits on $\sigma \times B$ as a function of the proper lifetime $c\tau$ for $m_{\Phi}=1000$ GeV and $m_{s}=400$ GeV scalar benchmark sample for 2MSVx strategy.
Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow \nu b \bar{b}$ channel with $m_{\chi}=10$ GeV ($m_{h}=125$ GeV) for 2MSVx strategy.
Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow \nu b \bar{b}$ channel with $m_{\chi}=10$ GeV ($m_{h}=125$ GeV) for 1MSVx strategy.
Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow \nu b \bar{b}$ channel with $m_{\chi}=10$ GeV ($m_{h}=125$ GeV) for the combination of 1MSVx and 2MSVx strategies.
Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow \nu b \bar{b}$ channel with $m_{\chi}=30$ GeV ($m_{h}=125$ GeV) for 2MSVx strategy.
Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow \nu b \bar{b}$ channel with $m_{\chi}=30$ GeV ($m_{h}=125$ GeV) for 1MSVx strategy.
Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow \nu b \bar{b}$ channel with $m_{\chi}=30$ GeV ($m_{h}=125$ GeV) for the combination of 1MSVx and 2MSVx strategies.
Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow \nu b \bar{b}$ channel with $m_{\chi}=50$ GeV ($m_{h}=125$ GeV) for 2MSVx strategy.
Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow \nu b \bar{b}$ channel with $m_{\chi}=50$ GeV ($m_{h}=125$ GeV) for 1MSVx strategy.
Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow \nu b \bar{b}$ channel with $m_{\chi}=50$ GeV ($m_{h}=125$ GeV) for the combination of 1MSVx and 2MSVx strategies.
Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow \nu b \bar{b}$ channel with $m_{\chi}=100$ GeV ($m_{h}=125$ GeV) for 2MSVx strategy.
Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow c b s$ channel with $m_{\chi}=10$ GeV ($m_{h}=125$ GeV) for 2MSVx strategy.
Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow c b s$ channel with $m_{\chi}=10$ GeV ($m_{h}=125$ GeV) for 1MSVx strategy.
Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow c b s$ channel with $m_{\chi}=10$ GeV ($m_{h}=125$ GeV) for the combination of 1MSVx and 2MSVx strategies.
Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow c b s$ channel with $m_{\chi}=30$ GeV ($m_{h}=125$ GeV) for 2MSVx strategy.
Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow c b s$ channel with $m_{\chi}=30$ GeV ($m_{h}=125$ GeV) for 1MSVx strategy.
Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow c b s$ channel with $m_{\chi}=30$ GeV ($m_{h}=125$ GeV) for the combination of 1MSVx and 2MSVx strategies.
Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow c b s$ channel with $m_{\chi}=50$ GeV ($m_{h}=125$ GeV) for 2MSVx strategy.
Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow c b s$ channel with $m_{\chi}=50$ GeV ($m_{h}=125$ GeV) for 1MSVx strategy.
Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow c b s$ channel with $m_{\chi}=50$ GeV ($m_{h}=125$ GeV) for the combination of 1MSVx and 2MSVx strategies.
Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow c b s$ channel with $m_{\chi}=100$ GeV ($m_{h}=125$ GeV) for 2MSVx strategy.
Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow l c b$ channel with $m_{\chi}=10$ GeV ($m_{h}=125$ GeV) for 2MSVx strategy.
Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow l c b$ channel with $m_{\chi}=10$ GeV ($m_{h}=125$ GeV) for 1MSVx strategy.
Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow l c b$ channel with $m_{\chi}=10$ GeV ($m_{h}=125$ GeV) for the combination of 1MSVx and 2MSVx strategies.
Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow l c b$ channel with $m_{\chi}=30$ GeV ($m_{h}=125$ GeV) for 2MSVx strategy.
Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow l c b$ channel with $m_{\chi}=30$ GeV ($m_{h}=125$ GeV) for 1MSVx strategy.
Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow l c b$ channel with $m_{\chi}=30$ GeV ($m_{h}=125$ GeV) for the combination of 1MSVx and 2MSVx strategies.
Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow l c b$ channel with $m_{\chi}=50$ GeV ($m_{h}=125$ GeV) for 2MSVx strategy.
Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow l c b$ channel with $m_{\chi}=50$ GeV ($m_{h}=125$ GeV) for 1MSVx strategy.
Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow l c b$ channel with $m_{\chi}=50$ GeV ($m_{h}=125$ GeV) for the combination of 1MSVx and 2MSVx strategies.
Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow l c b$ channel with $m_{\chi}=100$ GeV ($m_{h}=125$ GeV) for 2MSVx strategy.
Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow \tau \tau \nu$ channel with $m_{\chi}=10$ GeV ($m_{h}=125$ GeV) for 2MSVx strategy.
Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow \tau \tau \nu$ channel with $m_{\chi}=30$ GeV ($m_{h}=125$ GeV) for 2MSVx strategy.
Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow \tau \tau \nu$ channel with $m_{\chi}=50$ GeV ($m_{h}=125$ GeV) for 2MSVx strategy.
Upper 95% CL limits on $\sigma\times B$ as a function of the proper lifetime $c\tau$ for $\chi \rightarrow \tau \tau \nu$ channel with $m_{\chi}=100$ GeV ($m_{h}=125$ GeV) for 2MSVx strategy.
A search for charged leptons with large impact parameters using 139 fb$^{-1}$ of $\sqrt{s} = 13$ TeV $pp$ collision data from the ATLAS detector at the LHC is presented, addressing a long-standing gap in coverage of possible new physics signatures. Results are consistent with the background prediction. This search provides unique sensitivity to long-lived scalar supersymmetric lepton-partners (sleptons). For lifetimes of 0.1 ns, selectron, smuon and stau masses up to 720 GeV, 680 GeV, and 340 GeV are respectively excluded at 95% confidence level, drastically improving on the previous best limits from LEP.
Cutflow for SR-$ee$ for 5 representative signal points. For the following $\tilde{e}$ mass and lifetime points, the number of Monte Carlo events generated are: 24,000 for (100 GeV, 0.01 ns), 16,000 for (300 GeV, 1 ns), and 12,000 for (500 GeV, 0.1 ns). For the $\tilde{\tau}$ mass and lifetime points, the number of Monte Carlo events generated are: 30,000 for (200 GeV, 0.1 ns), and 104,000 for (300 GeV, 0.1 ns).
Cutflow for SR-$ee$ for 5 representative signal points. For the following $\tilde{e}$ mass and lifetime points, the number of Monte Carlo events generated are: 24,000 for (100 GeV, 0.01 ns), 16,000 for (300 GeV, 1 ns), and 12,000 for (500 GeV, 0.1 ns). For the $\tilde{\tau}$ mass and lifetime points, the number of Monte Carlo events generated are: 30,000 for (200 GeV, 0.1 ns), and 104,000 for (300 GeV, 0.1 ns).
Cutflow for SR-$e\mu$ for 2 representative signal points. For the $\tilde{\tau}$ mass and lifetime points, the number of Monte Carlo events generated are: 30,000 for (200 GeV, 0.1 ns), and 104,000 for (300 GeV, 0.1 ns).
Cutflow for SR-$e\mu$ for 2 representative signal points. For the $\tilde{\tau}$ mass and lifetime points, the number of Monte Carlo events generated are: 30,000 for (200 GeV, 0.1 ns), and 104,000 for (300 GeV, 0.1 ns).
Cutflow for SR-$\mu\mu$ for 5 representative signal points. For the following $\tilde{\mu}$ mass and lifetime points, the number of Monte Carlo events generated are: 24,000 for (100 GeV, 0.01 ns), 16,000 for (300 GeV, 1 ns), and 12,000 for (500 GeV, 0.1 ns). For the $\tilde{\tau}$ mass and lifetime points, the number of Monte Carlo events generated are: 30,000 for (200 GeV, 0.1 ns), and 104,000 for (300 GeV, 0.1 ns).
Cutflow for SR-$\mu\mu$ for 5 representative signal points. For the following $\tilde{\mu}$ mass and lifetime points, the number of Monte Carlo events generated are: 24,000 for (100 GeV, 0.01 ns), 16,000 for (300 GeV, 1 ns), and 12,000 for (500 GeV, 0.1 ns). For the $\tilde{\tau}$ mass and lifetime points, the number of Monte Carlo events generated are: 30,000 for (200 GeV, 0.1 ns), and 104,000 for (300 GeV, 0.1 ns).
Upper limits on observed signal cross section, $\sigma_\text{obs}^\text{95}$, where all slepton flavors are mass degenerate (co-NLSP).
Upper limits on observed signal cross section, $\sigma_\text{obs}^\text{95}$, where all slepton flavors are mass degenerate (co-NLSP).
Upper limits on observed signal cross section, $\sigma_\text{obs}^\text{95}$, for the selectron signal model. Selectron ($\tilde{e}_{L, R}$) refers to the scalar superpartners of left- and right-handed electrons.
Upper limits on observed signal cross section, $\sigma_\text{obs}^\text{95}$, for the selectron signal model. Selectron ($\tilde{e}_{L, R}$) refers to the scalar superpartners of left- and right-handed electrons.
Upper limits on observed signal cross section, $\sigma_\text{obs}^\text{95}$, for the superpartners of the left-handed electrons, $\tilde{e}_L$.
Upper limits on observed signal cross section, $\sigma_\text{obs}^\text{95}$, for the superpartners of the left-handed electrons, $\tilde{e}_L$.
Upper limits on observed signal cross section, $\sigma_\text{obs}^\text{95}$, for the superpartners of the right-handed electrons, $\tilde{e}_R$.
Upper limits on observed signal cross section, $\sigma_\text{obs}^\text{95}$, for the superpartners of the right-handed electrons, $\tilde{e}_R$.
Upper limits on observed signal cross section, $\sigma_\text{obs}^\text{95}$, for the smuon signal model. Smuon ($\tilde{\mu}_{L, R}$) refers to the scalar superpartners of left- and right-handed muons.
Upper limits on observed signal cross section, $\sigma_\text{obs}^\text{95}$, for the smuon signal model. Smuon ($\tilde{\mu}_{L, R}$) refers to the scalar superpartners of left- and right-handed muons.
Upper limits on observed signal cross section, $\sigma_\text{obs}^\text{95}$, for the superpartners of the left-handed muons, $\tilde{\mu}_L$.
Upper limits on observed signal cross section, $\sigma_\text{obs}^\text{95}$, for the superpartners of the left-handed muons, $\tilde{\mu}_L$.
Upper limits on observed signal cross section, $\sigma_\text{obs}^\text{95}$, for the superpartners of the right-handed muons, $\tilde{\mu}_R$.
Upper limits on observed signal cross section, $\sigma_\text{obs}^\text{95}$, for the superpartners of the right-handed muons, $\tilde{\mu}_R$.
Upper limits on observed signal cross section, $\sigma_\text{obs}^\text{95}$, for the stau signal model. Staus, $\tilde{\tau}_{1,2}$ are the mixed states of the superpartners of the left- and right-handed $\tau$ leptons, with mixing angle $\sin\theta_{\tilde\tau}=0.95$.
Upper limits on observed signal cross section, $\sigma_\text{obs}^\text{95}$, for the stau signal model. Staus, $\tilde{\tau}_{1,2}$ are the mixed states of the superpartners of the left- and right-handed $\tau$ leptons, with mixing angle $\sin\theta_{\tilde\tau}=0.95$.
Upper limits on observed signal cross section, $\sigma_\text{obs}^\text{95}$, for $\tilde{\tau}_L$ production, where $\tilde{\tau}_L$ is pure-state superpartner of the left-handed $\tau$.
Upper limits on observed signal cross section, $\sigma_\text{obs}^\text{95}$, for $\tilde{\tau}_L$ production, where $\tilde{\tau}_L$ is pure-state superpartner of the left-handed $\tau$.
The expected and observed yields in the signal regions. Combined statistical and systematic uncertainties are presented. Estimates are truncated at 0 if the size of measured systematic uncertainties would yield a negative result.
The expected and observed yields in the signal regions. Combined statistical and systematic uncertainties are presented. Estimates are truncated at 0 if the size of measured systematic uncertainties would yield a negative result.
Reconstruction efficiency as a function of $|d_{0}|$ and $p_\text{T}$ for signal electrons. Monte Carlo samples with $\tilde{e}$ or $\tilde{\mu}$ with mass 400 GeV and 1 ns lifetime were used. Efficiency is defined as the number of leptons passing all signal requirements and matched to generator-level muons divided by the number of generator level leptons with $p_\text{T} > 65$ GeV, $|d_{0}| >$ 3 mm, and |$\eta$| $<$ 2.47 for electrons. No event-level selections are made. Reconstructed leptons must pass all quality criteria, including the cosmic veto. Electron selection scale factors are included on the reconstructed leptons. The overflow is not shown in these plots.
Reconstruction efficiency as a function of $|d_{0}|$ and $p_\text{T}$ for signal electrons. Monte Carlo samples with $\tilde{e}$ or $\tilde{\mu}$ with mass 400 GeV and 1 ns lifetime were used. Efficiency is defined as the number of leptons passing all signal requirements and matched to generator-level muons divided by the number of generator level leptons with $p_\text{T} > 65$ GeV, $|d_{0}| >$ 3 mm, and |$\eta$| $<$ 2.47 for electrons. No event-level selections are made. Reconstructed leptons must pass all quality criteria, including the cosmic veto. Electron selection scale factors are included on the reconstructed leptons. The overflow is not shown in these plots.
Reconstruction efficiency as a function of $|d_{0}|$ and $p_\text{T}$ for signal muons. Monte Carlo samples with $\tilde{e}$ or $\tilde{\mu}$ with mass 400 GeV and 1 ns lifetime were used. Efficiency is defined as the number of leptons passing all signal requirements and matched to generator-level muons divided by the number of generator level leptons with $p_\text{T} > 65$ GeV, $|d_{0}| >$ 3 mm, and |$\eta$| $<$ 2.5 for muons. No event-level selections are made. Reconstructed leptons must pass all quality criteria, including the cosmic veto. Muon selection scale factors are included on the reconstructed leptons. The overflow is not shown in these plots.
Reconstruction efficiency as a function of $|d_{0}|$ and $p_\text{T}$ for signal muons. Monte Carlo samples with $\tilde{e}$ or $\tilde{\mu}$ with mass 400 GeV and 1 ns lifetime were used. Efficiency is defined as the number of leptons passing all signal requirements and matched to generator-level muons divided by the number of generator level leptons with $p_\text{T} > 65$ GeV, $|d_{0}| >$ 3 mm, and |$\eta$| $<$ 2.5 for muons. No event-level selections are made. Reconstructed leptons must pass all quality criteria, including the cosmic veto. Muon selection scale factors are included on the reconstructed leptons. The overflow is not shown in these plots.
Acceptance for $\tilde{e}$ of various masses and lifetimes in SR-$ee$. Acceptance is defined as the number of accepted events at generator level in signal Monte Carlo simulation divided by the total number of events in the sample. To be accepted, events are required to have at least 2 truth electrons with $p_\text{T} > 65$ GeV, |$\eta$| $<$ 2.47, $|d_{0}| > 3$ mm, and $\Delta R_{\ell\ell} > 0.2$. Events are also required to fall into one of the acceptance regions of the triggers used. At generator level, events must have one of the following: one electron with $p_\text{T} >$ 160 GeV, 2 electrons each with $p_\text{T} >$ 60 GeV, or 1 muon with $p_\text{T} >$ 60 GeV and $|\eta| < 1.07$.
Acceptance for $\tilde{e}$ of various masses and lifetimes in SR-$ee$. Acceptance is defined as the number of accepted events at generator level in signal Monte Carlo simulation divided by the total number of events in the sample. To be accepted, events are required to have at least 2 truth electrons with $p_\text{T} > 65$ GeV, |$\eta$| $<$ 2.47, $|d_{0}| > 3$ mm, and $\Delta R_{\ell\ell} > 0.2$. Events are also required to fall into one of the acceptance regions of the triggers used. At generator level, events must have one of the following: one electron with $p_\text{T} >$ 160 GeV, 2 electrons each with $p_\text{T} >$ 60 GeV, or 1 muon with $p_\text{T} >$ 60 GeV and $|\eta| < 1.07$.
Acceptance for $\tilde{\mu}$ of various masses and lifetimes in SR-$\mu\mu$. Acceptance is defined as the number of accepted events at generator level in signal Monte Carlo simulation divided by the total number of events in the sample. To be accepted, events are required to have at least 2 truth muons with $p_\text{T} > 65$ GeV, |$\eta$| $<$ 2.5, $|d_{0}| > 3$ mm, and $\Delta R_{\ell\ell} > 0.2$. Events are also required to fall into one of the acceptance regions of the triggers used. At generator level, events must have one of the following: one electron with $p_\text{T} >$ 160 GeV, 2 electrons each with $p_\text{T} >$ 60 GeV, or 1 muon with $p_\text{T} >$ 60 GeV and $|\eta| < 1.07$.
Acceptance for $\tilde{\mu}$ of various masses and lifetimes in SR-$\mu\mu$. Acceptance is defined as the number of accepted events at generator level in signal Monte Carlo simulation divided by the total number of events in the sample. To be accepted, events are required to have at least 2 truth muons with $p_\text{T} > 65$ GeV, |$\eta$| $<$ 2.5, $|d_{0}| > 3$ mm, and $\Delta R_{\ell\ell} > 0.2$. Events are also required to fall into one of the acceptance regions of the triggers used. At generator level, events must have one of the following: one electron with $p_\text{T} >$ 160 GeV, 2 electrons each with $p_\text{T} >$ 60 GeV, or 1 muon with $p_\text{T} >$ 60 GeV and $|\eta| < 1.07$.
Efficiency for $\tilde{e}$ of various masses and lifetimes in SR-$ee$. Efficiency is defined as the number of selected reconstruced events divided by the acceptance. To be accepted, events are required to have at least 2 truth electrons with $p_\text{T} > 65$ GeV, |$\eta$| $<$ 2.47, $|d_{0}| > 3$ mm, and $\Delta R_{\ell\ell} > 0.2$. Events are also required to fall into one of the acceptance regions of the triggers used. At generator level, events must have one of the following: one electron with $p_\text{T} >$ 160 GeV, 2 electrons each with $p_\text{T} >$ 60 GeV, or 1 muon with $p_\text{T} >$ 60 GeV and $|\eta| < 1.07$. To be selected, events must satisfy all signal region requirements.
Efficiency for $\tilde{e}$ of various masses and lifetimes in SR-$ee$. Efficiency is defined as the number of selected reconstruced events divided by the acceptance. To be accepted, events are required to have at least 2 truth electrons with $p_\text{T} > 65$ GeV, |$\eta$| $<$ 2.47, $|d_{0}| > 3$ mm, and $\Delta R_{\ell\ell} > 0.2$. Events are also required to fall into one of the acceptance regions of the triggers used. At generator level, events must have one of the following: one electron with $p_\text{T} >$ 160 GeV, 2 electrons each with $p_\text{T} >$ 60 GeV, or 1 muon with $p_\text{T} >$ 60 GeV and $|\eta| < 1.07$. To be selected, events must satisfy all signal region requirements.
Efficiency for $\tilde{\mu}$ of various masses and lifetimes in SR-$\mu\mu$. Efficiency is defined as the number of selected reconstruced events divided by the acceptance. To be accepted, events are required to have at least 2 truth muons with $p_\text{T} > 65$ GeV, |$\eta$| $<$ 2.5, $|d_{0}| > 3$ mm, and $\Delta R_{\ell\ell} > 0.2$. Events are also required to fall into one of the acceptance regions of the triggers used. At generator level, events must have one of the following: one electron with $p_\text{T} >$ 160 GeV, 2 electrons each with $p_\text{T} >$ 60 GeV, or 1 muon with $p_\text{T} >$ 60 GeV and $|\eta| < 1.07$. To be selected, events must satisfy all signal region requirements.
Efficiency for $\tilde{\mu}$ of various masses and lifetimes in SR-$\mu\mu$. Efficiency is defined as the number of selected reconstruced events divided by the acceptance. To be accepted, events are required to have at least 2 truth muons with $p_\text{T} > 65$ GeV, |$\eta$| $<$ 2.5, $|d_{0}| > 3$ mm, and $\Delta R_{\ell\ell} > 0.2$. Events are also required to fall into one of the acceptance regions of the triggers used. At generator level, events must have one of the following: one electron with $p_\text{T} >$ 160 GeV, 2 electrons each with $p_\text{T} >$ 60 GeV, or 1 muon with $p_\text{T} >$ 60 GeV and $|\eta| < 1.07$. To be selected, events must satisfy all signal region requirements.
Acceptance as a function of the generator-level $p_\text{T}$ of the leading and subleading lepton in SR-$ee$ from $\tilde{e}$ decays. The plot is made from signal Monte Carlo events with $\tilde{\ell}$ with mass of 400 GeV and lifetime of 1 ns. To be accepted, events are required to have at least 2 truth leptons with $p_\text{T} > 65$ GeV, |$\eta$| $<$ 2.47 for electrons, $|d_{0}| > 3$ mm, and $\Delta R_{\ell\ell} > 0.2$. Events are also required to fall into one of the acceptance regions of the triggers used. At generator level, events must have one of the following: one electron with $p_\text{T} >$ 160 GeV, 2 electrons each with $p_\text{T} >$ 60 GeV, or 1 muon with $p_\text{T} >$ 60 GeV and $|\eta| < 1.07$. The overflow is not shown in these plots.
Acceptance as a function of the generator-level $p_\text{T}$ of the leading and subleading lepton in SR-$ee$ from $\tilde{e}$ decays. The plot is made from signal Monte Carlo events with $\tilde{\ell}$ with mass of 400 GeV and lifetime of 1 ns. To be accepted, events are required to have at least 2 truth leptons with $p_\text{T} > 65$ GeV, |$\eta$| $<$ 2.47 for electrons, $|d_{0}| > 3$ mm, and $\Delta R_{\ell\ell} > 0.2$. Events are also required to fall into one of the acceptance regions of the triggers used. At generator level, events must have one of the following: one electron with $p_\text{T} >$ 160 GeV, 2 electrons each with $p_\text{T} >$ 60 GeV, or 1 muon with $p_\text{T} >$ 60 GeV and $|\eta| < 1.07$. The overflow is not shown in these plots.
Acceptance as a function of the generator-level $p_\text{T}$ of the leading and subleading lepton in SR-$\mu\mu$ from $\tilde{\mu}$ decays. The plot is made from signal Monte Carlo events with $\tilde{\ell}$ with mass of 400 GeV and lifetime of 1 ns. To be accepted, events are required to have at least 2 truth leptons with $p_\text{T} > 65$ GeV, |$\eta$| $<$ 2.5 for muons, $|d_{0}| > 3$ mm, and $\Delta R_{\ell\ell} > 0.2$. Events are also required to fall into one of the acceptance regions of the triggers used. At generator level, events must have one of the following: one electron with $p_\text{T} >$ 160 GeV, 2 electrons each with $p_\text{T} >$ 60 GeV, or 1 muon with $p_\text{T} >$ 60 GeV and $|\eta| < 1.07$. The overflow is not shown in these plots.
Acceptance as a function of the generator-level $p_\text{T}$ of the leading and subleading lepton in SR-$\mu\mu$ from $\tilde{\mu}$ decays. The plot is made from signal Monte Carlo events with $\tilde{\ell}$ with mass of 400 GeV and lifetime of 1 ns. To be accepted, events are required to have at least 2 truth leptons with $p_\text{T} > 65$ GeV, |$\eta$| $<$ 2.5 for muons, $|d_{0}| > 3$ mm, and $\Delta R_{\ell\ell} > 0.2$. Events are also required to fall into one of the acceptance regions of the triggers used. At generator level, events must have one of the following: one electron with $p_\text{T} >$ 160 GeV, 2 electrons each with $p_\text{T} >$ 60 GeV, or 1 muon with $p_\text{T} >$ 60 GeV and $|\eta| < 1.07$. The overflow is not shown in these plots.
Acceptance for $\tilde{\tau}$ of various masses and lifetimes in SR-$ee$. Acceptance is defined as the number of accepted events at generator level in signal Monte Carlo simulation divided by the total number of events in the sample. To be accepted, events are required to have at least 2 truth electrons with $p_\text{T} > 65$ GeV, |$\eta$| $<$ 2.47, $|d_{0}| > 3$ mm, and $\Delta R_{\ell\ell} > 0.2$. Events are also required to fall into one of the acceptance regions of the triggers used. At generator level, events must have one of the following: one electron with $p_\text{T} >$ 160 GeV, 2 electrons each with $p_\text{T} >$ 60 GeV, or 1 muon with $p_\text{T} >$ 60 GeV and $|\eta| < 1.07$.
Acceptance for $\tilde{\tau}$ of various masses and lifetimes in SR-$ee$. Acceptance is defined as the number of accepted events at generator level in signal Monte Carlo simulation divided by the total number of events in the sample. To be accepted, events are required to have at least 2 truth electrons with $p_\text{T} > 65$ GeV, |$\eta$| $<$ 2.47, $|d_{0}| > 3$ mm, and $\Delta R_{\ell\ell} > 0.2$. Events are also required to fall into one of the acceptance regions of the triggers used. At generator level, events must have one of the following: one electron with $p_\text{T} >$ 160 GeV, 2 electrons each with $p_\text{T} >$ 60 GeV, or 1 muon with $p_\text{T} >$ 60 GeV and $|\eta| < 1.07$.
Acceptance for $\tilde{\tau}$ of various masses and lifetimes in SR-$e\mu$. Acceptance is defined as the number of accepted events at generator level in signal Monte Carlo simulation divided by the total number of events in the sample. To be accepted, events are required to have at least 2 truth leptons with $p_\text{T} > 65$ GeV, |$\eta$| $<$ 2.5 (2.47) for muons (electrons), $|d_{0}| > 3$ mm, and $\Delta R_{\ell\ell} > 0.2$. Events are also required to fall into one of the acceptance regions of the triggers used. At generator level, events must have one of the following: one electron with $p_\text{T} >$ 160 GeV, 2 electrons each with $p_\text{T} >$ 60 GeV, or 1 muon with $p_\text{T} >$ 60 GeV and $|\eta| < 1.07$.
Acceptance for $\tilde{\tau}$ of various masses and lifetimes in SR-$e\mu$. Acceptance is defined as the number of accepted events at generator level in signal Monte Carlo simulation divided by the total number of events in the sample. To be accepted, events are required to have at least 2 truth leptons with $p_\text{T} > 65$ GeV, |$\eta$| $<$ 2.5 (2.47) for muons (electrons), $|d_{0}| > 3$ mm, and $\Delta R_{\ell\ell} > 0.2$. Events are also required to fall into one of the acceptance regions of the triggers used. At generator level, events must have one of the following: one electron with $p_\text{T} >$ 160 GeV, 2 electrons each with $p_\text{T} >$ 60 GeV, or 1 muon with $p_\text{T} >$ 60 GeV and $|\eta| < 1.07$.
Acceptance for $\tilde{\tau}$ of various masses and lifetimes in SR-$\mu\mu$. Acceptance is defined as the number of accepted events at generator level in signal Monte Carlo simulation divided by the total number of events in the sample. To be accepted, events are required to have at least 2 truth muons with $p_\text{T} > 65$ GeV, |$\eta$| $<$ 2.5, $|d_{0}| > 3$ mm, and $\Delta R_{\ell\ell} > 0.2$. Events are also required to fall into one of the acceptance regions of the triggers used. At generator level, events must have one of the following: one electron with $p_\text{T} >$ 160 GeV, 2 electrons each with $p_\text{T} >$ 60 GeV, or 1 muon with $p_\text{T} >$ 60 GeV and $|\eta| < 1.07$.
Acceptance for $\tilde{\tau}$ of various masses and lifetimes in SR-$\mu\mu$. Acceptance is defined as the number of accepted events at generator level in signal Monte Carlo simulation divided by the total number of events in the sample. To be accepted, events are required to have at least 2 truth muons with $p_\text{T} > 65$ GeV, |$\eta$| $<$ 2.5, $|d_{0}| > 3$ mm, and $\Delta R_{\ell\ell} > 0.2$. Events are also required to fall into one of the acceptance regions of the triggers used. At generator level, events must have one of the following: one electron with $p_\text{T} >$ 160 GeV, 2 electrons each with $p_\text{T} >$ 60 GeV, or 1 muon with $p_\text{T} >$ 60 GeV and $|\eta| < 1.07$.
Efficiency for $\tilde{\tau}$ of various masses and lifetimes in SR-$ee$. Efficiency is defined as the number of selected reconstruced events divided by the acceptance. To be accepted, events are required to have at least 2 truth electrons with $p_\text{T} > 65$ GeV, |$\eta$| $<$ 2.47, $|d_{0}| > 3$ mm, and $\Delta R_{\ell\ell} > 0.2$. Events are also required to fall into one of the acceptance regions of the triggers used. At generator level, events must have one of the following: one electron with $p_\text{T} >$ 160 GeV, 2 electrons each with $p_\text{T} >$ 60 GeV, or 1 muon with $p_\text{T} >$ 60 GeV and $|\eta| < 1.07$. To be selected, events must satisfy all signal region requirements.
Efficiency for $\tilde{\tau}$ of various masses and lifetimes in SR-$ee$. Efficiency is defined as the number of selected reconstruced events divided by the acceptance. To be accepted, events are required to have at least 2 truth electrons with $p_\text{T} > 65$ GeV, |$\eta$| $<$ 2.47, $|d_{0}| > 3$ mm, and $\Delta R_{\ell\ell} > 0.2$. Events are also required to fall into one of the acceptance regions of the triggers used. At generator level, events must have one of the following: one electron with $p_\text{T} >$ 160 GeV, 2 electrons each with $p_\text{T} >$ 60 GeV, or 1 muon with $p_\text{T} >$ 60 GeV and $|\eta| < 1.07$. To be selected, events must satisfy all signal region requirements.
Efficiency for $\tilde{\tau}$ of various masses and lifetimes in SR-$e\mu$. Efficiency is defined as the number of selected reconstruced events divided by the acceptance. To be accepted, events are required to have at least 2 truth leptons with $p_\text{T} > 65$ GeV, |$\eta$| $<$ 2.5 (2.47) for muons (electrons), $|d_{0}| > 3$ mm, and $\Delta R_{\ell\ell} > 0.2$. Events are also required to fall into one of the acceptance regions of the triggers used. At generator level, events must have one of the following: one electron with $p_\text{T} >$ 160 GeV, 2 electrons each with $p_\text{T} >$ 60 GeV, or 1 muon with $p_\text{T} >$ 60 GeV and $|\eta| < 1.07$. To be selected, events must satisfy all signal region requirements.
Efficiency for $\tilde{\tau}$ of various masses and lifetimes in SR-$e\mu$. Efficiency is defined as the number of selected reconstruced events divided by the acceptance. To be accepted, events are required to have at least 2 truth leptons with $p_\text{T} > 65$ GeV, |$\eta$| $<$ 2.5 (2.47) for muons (electrons), $|d_{0}| > 3$ mm, and $\Delta R_{\ell\ell} > 0.2$. Events are also required to fall into one of the acceptance regions of the triggers used. At generator level, events must have one of the following: one electron with $p_\text{T} >$ 160 GeV, 2 electrons each with $p_\text{T} >$ 60 GeV, or 1 muon with $p_\text{T} >$ 60 GeV and $|\eta| < 1.07$. To be selected, events must satisfy all signal region requirements.
Efficiency for $\tilde{\tau}$ of various masses and lifetimes in SR-$\mu\mu$. Efficiency is defined as the number of selected reconstruced events divided by the acceptance. To be accepted, events are required to have at least 2 truth muons with $p_\text{T} > 65$ GeV, |$\eta$| $<$ 2.5, $|d_{0}| > 3$ mm, and $\Delta R_{\ell\ell} > 0.2$. Events are also required to fall into one of the acceptance regions of the triggers used. At generator level, events must have one of the following: one electron with $p_\text{T} >$ 160 GeV, 2 electrons each with $p_\text{T} >$ 60 GeV, or 1 muon with $p_\text{T} >$ 60 GeV and $|\eta| < 1.07$. To be selected, events must satisfy all signal region requirements.
Efficiency for $\tilde{\tau}$ of various masses and lifetimes in SR-$\mu\mu$. Efficiency is defined as the number of selected reconstruced events divided by the acceptance. To be accepted, events are required to have at least 2 truth muons with $p_\text{T} > 65$ GeV, |$\eta$| $<$ 2.5, $|d_{0}| > 3$ mm, and $\Delta R_{\ell\ell} > 0.2$. Events are also required to fall into one of the acceptance regions of the triggers used. At generator level, events must have one of the following: one electron with $p_\text{T} >$ 160 GeV, 2 electrons each with $p_\text{T} >$ 60 GeV, or 1 muon with $p_\text{T} >$ 60 GeV and $|\eta| < 1.07$. To be selected, events must satisfy all signal region requirements.
Acceptance as a function of the generator-level $p_\text{T}$ of the leading and subleading lepton in SR-$e\mu$ from $\tilde{\tau}$ decays. The plot is made from signal Monte Carlo events with $\tilde{\ell}$ with mass of 400 GeV and lifetime of 1 ns. To be accepted, events are required to have at least 2 truth leptons with $p_\text{T} > 65$ GeV, |$\eta$| $<$ 2.5 (2.47) for muons (electrons), $|d_{0}| > 3$ mm, and $\Delta R_{\ell\ell} > 0.2$. Events are also required to fall into one of the acceptance regions of the triggers used. At generator level, events must have one of the following: one electron with $p_\text{T} >$ 160 GeV, 2 electrons each with $p_\text{T} >$ 60 GeV, or 1 muon with $p_\text{T} >$ 60 GeV and $|\eta| < 1.07$. The overflow is not shown in these plots.
Acceptance as a function of the generator-level $p_\text{T}$ of the leading and subleading lepton in SR-$e\mu$ from $\tilde{\tau}$ decays. The plot is made from signal Monte Carlo events with $\tilde{\ell}$ with mass of 400 GeV and lifetime of 1 ns. To be accepted, events are required to have at least 2 truth leptons with $p_\text{T} > 65$ GeV, |$\eta$| $<$ 2.5 (2.47) for muons (electrons), $|d_{0}| > 3$ mm, and $\Delta R_{\ell\ell} > 0.2$. Events are also required to fall into one of the acceptance regions of the triggers used. At generator level, events must have one of the following: one electron with $p_\text{T} >$ 160 GeV, 2 electrons each with $p_\text{T} >$ 60 GeV, or 1 muon with $p_\text{T} >$ 60 GeV and $|\eta| < 1.07$. The overflow is not shown in these plots.
Observed 95% CL exclusion sensitivity. The limit is displayed in the lifetime vs. $m(\tilde{\ell})$ plane where all slepton flavors and chiralities are mass degenerate.
Observed 95% CL exclusion sensitivity. The limit is displayed in the lifetime vs. $m(\tilde{\ell})$ plane where all slepton flavors and chiralities are mass degenerate.
Expected 95% CL exclusion sensitivity. The limit is displayed in the lifetime vs. $m(\tilde{\ell})$ plane where all slepton flavors and chiralities are mass degenerate.
Expected 95% CL exclusion sensitivity. The limit is displayed in the lifetime vs. $m(\tilde{\ell})$ plane where all slepton flavors and chiralities are mass degenerate.
Observed 95% CL exclusion sensitivity. The limit is displayed in the lifetime vs. $m(\tilde{\ell})$ plane in SR-$ee$ targeting selectron production. Selectrons ($\tilde{e}_{L, R}$) refer to the scalar superpartners of left- and right-handed electrons, which are assumed to be mass degenerate.
Observed 95% CL exclusion sensitivity. The limit is displayed in the lifetime vs. $m(\tilde{\ell})$ plane in SR-$ee$ targeting selectron production. Selectrons ($\tilde{e}_{L, R}$) refer to the scalar superpartners of left- and right-handed electrons, which are assumed to be mass degenerate.
Expected 95% CL exclusion sensitivity. The limit is displayed in the lifetime vs. $m(\tilde{\ell})$ plane in SR-$ee$ targeting selectron production. Selectrons ($\tilde{e}_{L, R}$) refer to the scalar superpartners of left- and right-handed electrons, which are assumed to be mass degenerate.
Expected 95% CL exclusion sensitivity. The limit is displayed in the lifetime vs. $m(\tilde{\ell})$ plane in SR-$ee$ targeting selectron production. Selectrons ($\tilde{e}_{L, R}$) refer to the scalar superpartners of left- and right-handed electrons, which are assumed to be mass degenerate.
Observed 95% CL exclusion sensitivity. The limit is displayed in the lifetime vs. $m(\tilde{\ell})$ plane in SR-$ee$ targeting selectron production. Selectrons ($\tilde{e}_{L}$) refer to the scalar superpartners of left-handed electrons.
Observed 95% CL exclusion sensitivity. The limit is displayed in the lifetime vs. $m(\tilde{\ell})$ plane in SR-$ee$ targeting selectron production. Selectrons ($\tilde{e}_{L}$) refer to the scalar superpartners of left-handed electrons.
Expected 95% CL exclusion sensitivity. The limit is displayed in the lifetime vs. $m(\tilde{\ell})$ plane in SR-$ee$ targeting selectron production. Selectrons ($\tilde{e}_{L}$) refer to the scalar superpartners of left-handed electrons.
Expected 95% CL exclusion sensitivity. The limit is displayed in the lifetime vs. $m(\tilde{\ell})$ plane in SR-$ee$ targeting selectron production. Selectrons ($\tilde{e}_{L}$) refer to the scalar superpartners of left-handed electrons.
Observed 95% CL exclusion sensitivity. The limit is displayed in the lifetime vs. $m(\tilde{\ell})$ plane in SR-$ee$ targeting selectron production. Selectrons ($\tilde{e}_{R}$) refer to the scalar superpartners of right-handed electrons. Purple denotes the region excluded by LEP.
Observed 95% CL exclusion sensitivity. The limit is displayed in the lifetime vs. $m(\tilde{\ell})$ plane in SR-$ee$ targeting selectron production. Selectrons ($\tilde{e}_{R}$) refer to the scalar superpartners of right-handed electrons. Purple denotes the region excluded by LEP.
Expected 95% CL exclusion sensitivity. The limit is displayed in the lifetime vs. $m(\tilde{\ell})$ plane in SR-$ee$ targeting selectron production. Selectrons ($\tilde{e}_{R}$) refer to the scalar superpartners of right-handed electrons. Purple denotes the region excluded by LEP.
Expected 95% CL exclusion sensitivity. The limit is displayed in the lifetime vs. $m(\tilde{\ell})$ plane in SR-$ee$ targeting selectron production. Selectrons ($\tilde{e}_{R}$) refer to the scalar superpartners of right-handed electrons. Purple denotes the region excluded by LEP.
Observed 95% CL exclusion sensitivity. The limit is displayed in the lifetime vs. $m(\tilde{\ell})$ plane in SR-$\mu\mu$ targeting smuon production. Smuons ($\tilde{\mu}_{L, R}$) refer to the scalar superpartners of left- and right-handed muons, which are assumed to be mass degenerate.
Observed 95% CL exclusion sensitivity. The limit is displayed in the lifetime vs. $m(\tilde{\ell})$ plane in SR-$\mu\mu$ targeting smuon production. Smuons ($\tilde{\mu}_{L, R}$) refer to the scalar superpartners of left- and right-handed muons, which are assumed to be mass degenerate.
Expected 95% CL exclusion sensitivity. The limit is displayed in the lifetime vs. $m(\tilde{\ell})$ plane in SR-$\mu\mu$ targeting smuon production. Smuons ($\tilde{\mu}_{L, R}$) refer to the scalar superpartners of left- and right-handed muons, which are assumed to be mass degenerate.
Expected 95% CL exclusion sensitivity. The limit is displayed in the lifetime vs. $m(\tilde{\ell})$ plane in SR-$\mu\mu$ targeting smuon production. Smuons ($\tilde{\mu}_{L, R}$) refer to the scalar superpartners of left- and right-handed muons, which are assumed to be mass degenerate.
Expected 95% CL exclusion sensitivity. The limit is displayed in the lifetime vs. $m(\tilde{\ell})$ plane in SR-$\mu\mu$ targeting smuon production. Smuons ($\tilde{\mu}_{L}$) refer to the scalar superpartners of left-handed muons.
Expected 95% CL exclusion sensitivity. The limit is displayed in the lifetime vs. $m(\tilde{\ell})$ plane in SR-$\mu\mu$ targeting smuon production. Smuons ($\tilde{\mu}_{L}$) refer to the scalar superpartners of left-handed muons.
Observed 95% CL exclusion sensitivity. The limit is displayed in the lifetime vs. $m(\tilde{\ell})$ plane in SR-$\mu\mu$ targeting smuon production. Smuons ($\tilde{\mu}_{L}$) refer to the scalar superpartners of left-handed muons.
Observed 95% CL exclusion sensitivity. The limit is displayed in the lifetime vs. $m(\tilde{\ell})$ plane in SR-$\mu\mu$ targeting smuon production. Smuons ($\tilde{\mu}_{L}$) refer to the scalar superpartners of left-handed muons.
Observed 95% CL exclusion sensitivity. The limit is displayed in the lifetime vs. $m(\tilde{\ell})$ plane in SR-$\mu\mu$ targeting smuon production. Smuons ($\tilde{\mu}_{R}$) refer to the scalar superpartners of right-handed muons. Purple denotes the region excluded by LEP.
Observed 95% CL exclusion sensitivity. The limit is displayed in the lifetime vs. $m(\tilde{\ell})$ plane in SR-$\mu\mu$ targeting smuon production. Smuons ($\tilde{\mu}_{R}$) refer to the scalar superpartners of right-handed muons. Purple denotes the region excluded by LEP.
Expected 95% CL exclusion sensitivity. The limit is displayed in the lifetime vs. $m(\tilde{\ell})$ plane in SR-$\mu\mu$ targeting smuon production. Smuons ($\tilde{\mu}_{R}$) refer to the scalar superpartners of right-handed muons. Purple denotes the region excluded by LEP.
Expected 95% CL exclusion sensitivity. The limit is displayed in the lifetime vs. $m(\tilde{\ell})$ plane in SR-$\mu\mu$ targeting smuon production. Smuons ($\tilde{\mu}_{R}$) refer to the scalar superpartners of right-handed muons. Purple denotes the region excluded by LEP.
Observed 95% CL exclusion sensitivity. The limit is displayed in the lifetime vs. $m(\tilde{\tau})$ plane. Staus, $\tilde{\tau}_{1,2}$ are the mixed states of the superpartners of the left- and right-handed $\tau$ leptons, with mixing angle $\sin(\theta_{\tilde\tau})=0.95$, which are assumed to be mass degenerate.
Observed 95% CL exclusion sensitivity. The limit is displayed in the lifetime vs. $m(\tilde{\tau})$ plane. Staus, $\tilde{\tau}_{1,2}$ are the mixed states of the superpartners of the left- and right-handed $\tau$ leptons, with mixing angle $\sin(\theta_{\tilde\tau})=0.95$, which are assumed to be mass degenerate.
Expected 95% CL exclusion sensitivity. The limit is displayed in the lifetime vs. $m(\tilde{\tau})$ plane. Staus, $\tilde{\tau}_{1,2}$ are the mixed states of the superpartners of the left- and right-handed $\tau$ leptons, with mixing angle $\sin(\theta_{\tilde\tau})=0.95$, which are assumed to be mass degenerate.
Expected 95% CL exclusion sensitivity. The limit is displayed in the lifetime vs. $m(\tilde{\tau})$ plane. Staus, $\tilde{\tau}_{1,2}$ are the mixed states of the superpartners of the left- and right-handed $\tau$ leptons, with mixing angle $\sin(\theta_{\tilde\tau})=0.95$, which are assumed to be mass degenerate.
Observed 95% CL exclusion sensitivity. The limit is displayed in the lifetime vs. $m(\tilde{\tau}_L)$ plane, where $\tilde{\tau}_L$ is the pure-state super-partner of the left-handed $\tau$. Purple denotes the region excluded by LEP. This result does not present signficant sensitivity to the pure-state superpartner of the right-handed $\tau$.
Observed 95% CL exclusion sensitivity. The limit is displayed in the lifetime vs. $m(\tilde{\tau}_L)$ plane, where $\tilde{\tau}_L$ is the pure-state super-partner of the left-handed $\tau$. Purple denotes the region excluded by LEP. This result does not present signficant sensitivity to the pure-state superpartner of the right-handed $\tau$.
Expected 95% CL exclusion sensitivity. The limit is displayed in the lifetime vs. $m(\tilde{\tau}_L)$ plane, where $\tilde{\tau}_L$ is the pure-state super-partner of the left-handed $\tau$. Purple denotes the region excluded by LEP. This result does not present signficant sensitivity to the pure-state superpartner of the right-handed $\tau$.
Expected 95% CL exclusion sensitivity. The limit is displayed in the lifetime vs. $m(\tilde{\tau}_L)$ plane, where $\tilde{\tau}_L$ is the pure-state super-partner of the left-handed $\tau$. Purple denotes the region excluded by LEP. This result does not present signficant sensitivity to the pure-state superpartner of the right-handed $\tau$.
Correlations of two flow harmonics $v_n$ and $v_m$ via three- and four-particle cumulants are measured in 13 TeV $pp$, 5.02 TeV $p$+Pb, and 2.76 TeV peripheral Pb+Pb collisions with the ATLAS detector at the LHC. The goal is to understand the multi-particle nature of the long-range collective phenomenon in these collision systems. The large non-flow background from dijet production present in the standard cumulant method is suppressed using a method of subevent cumulants involving two, three and four subevents separated in pseudorapidity. The results show a negative correlation between $v_2$ and $v_3$ and a positive correlation between $v_2$ and $v_4$ for all collision systems and over the full multiplicity range. However, the magnitudes of the correlations are found to depend strongly on the event multiplicity, the choice of transverse momentum range and collision system. The relative correlation strength, obtained by normalisation of the cumulants with the $\langle v_n^2\rangle$ from a two-particle correlation analysis, is similar in the three collision systems and depends weakly on the event multiplicity and transverse momentum. These results based on the subevent methods provide strong evidence of a similar long-range multi-particle collectivity in $pp$, $p$+Pb and peripheral Pb+Pb collisions.
The symmetric cumulant $sc_{2,3}\{4\}$ results as a function of multiplicity ($N_{ch}$) in pp collisions at $\sqrt{s_{NN}}$ = 13 TeV
The symmetric cumulant $sc_{2\,3}\{4\}$ results as a function of multiplicity ($N_{ch}$) in pp collisions at $\sqrt{s_{NN}}$ = 13 TeV
The symmetric cumulant $sc_{2\,3}\{4\}$ results as a function of multiplicity ($N_{ch}$) in pPb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV
The symmetric cumulant $sc_{2\,3}\{4\}$ results as a function of multiplicity ($N_{ch}$) in pPb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV
The symmetric cumulant $sc_{2\,3}\{4\}$ results as a function of multiplicity ($N_{ch}$) in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV
The symmetric cumulant $sc_{2\,4}\{4\}$ results as a function of multiplicity ($N_{ch}$) in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV
The symmetric cumulant $sc_{2\,4}\{4\}$ results as a function of multiplicity ($N_{ch}$) in pp collisions at $\sqrt{s_{NN}}$ = 13 TeV
The symmetric cumulant $sc_{2\,4}\{4\}$ results as a function of multiplicity ($N_{ch}$) in pp collisions at $\sqrt{s_{NN}}$ = 13 TeV
The symmetric cumulant $sc_{2\,4}\{4\}$ results as a function of multiplicity ($N_{ch}$) in pPb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV
The symmetric cumulant $sc_{2\,4}\{4\}$ results as a function of multiplicity ($N_{ch}$) in pPb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV
The symmetric cumulant $sc_{2\,4}\{4\}$ results as a function of multiplicity ($N_{ch}$) in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV
The symmetric cumulant $sc_{2\,4}\{4\}$ results as a function of multiplicity ($N_{ch}$) in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV
The asymmetric cumulant $ac_{2}\{3\}$ results as a function of multiplicity ($N_{ch}$) in pp collisions at $\sqrt{s_{NN}}$ = 13 TeV
The asymmetric cumulant $ac_{2}\{3\}$results as a function of multiplicity ($N_{ch}$) in pp collisions at $\sqrt{s_{NN}}$ = 13 TeV
The asymmetric cumulant $ac_{2}\{3\}$results as a function of multiplicity ($N_{ch}$) in pPb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV
The asymmetric cumulant $ac_{2}\{3\}$ results as a function of multiplicity ($N_{ch}$) in pPb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV
The asymmetric cumulant $ac_{2}\{3\}$ results as a function of multiplicity ($N_{ch}$) in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV
The asymmetric cumulant $ac_{2}\{3\}$ results as a function of multiplicity ($N_{ch}$) in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV
The normalized symmetric cumulant $nsc_{2\,3}\{4\}$ results as a function of multiplicity ($N_{ch}$) in pp collisions at $\sqrt{s_{NN}}$ = 13 TeV
The normalized symmetric cumulant $nsc_{2\,4}\{4\}$ results as a function of multiplicity ($N_{ch}$) in pp collisions at $\sqrt{s_{NN}}$ = 13 TeV
The normalized asymmetric cumulant $nac_{2}\{3\}$ results as a function of multiplicity ($N_{ch}$) in pp collisions at $\sqrt{s_{NN}}$ = 13 TeV
The normalized symmetric cumulant $nsc_{2\,3}\{4\}$ results as a function of multiplicity ($N_{ch}$) in pp collisions at $\sqrt{s_{NN}}$ = 13 TeV
The normalized symmetric cumulant $nsc_{2\,4}\{4\}$ results as a function of multiplicity ($N_{ch}$) in pp collisions at $\sqrt{s_{NN}}$ = 13 TeV
The normalized asymmetric cumulant $nac_{2}\{3\}$ results as a function of multiplicity ($N_{ch}$) in pPb collisions at $\sqrt{s_{NN}}$ = 13 TeV
The normalized symmetric cumulant $nsc_{2\,3}\{4\}$ results as a function of multiplicity ($N_{ch}$) in pPb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV
The normalized symmetric cumulant $nsc_{2\,4}\{4\}$ results as a function of multiplicity ($N_{ch}$) in pPb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV
The normalized asymmetric cumulant $nac_{2}\{3\}$ results as a function of multiplicity ($N_{ch}$) in pPb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV
The normalized symmetric cumulant $nsc_{2\,3}\{4\}$ results as a function of multiplicity ($N_{ch}$) in pPb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV
The normalized symmetric cumulant $nsc_{2\,4}\{4\}$ results as a function of multiplicity ($N_{ch}$) in pPb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV
The normalized asymmetric cumulant $nac_{2}\{3\}$ results as a function of multiplicity ($N_{ch}$) in pPb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV
The normalized symmetric cumulant $nsc_{2\,3}\{4\}$ results as a function of multiplicity ($N_{ch}$) in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV
The normalized symmetric cumulant $nsc_{2\,4}\{4\}$ results as a function of multiplicity ($N_{ch}$) in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV
The normalized asymmetric cumulant $nac_{2}\{3\}$ results as a function of multiplicity ($N_{ch}$) in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV
The normalized symmetric cumulant $nsc_{2\,3}\{4\}$ results as a function of multiplicity ($N_{ch}$) in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV
The normalized symmetric cumulant $nsc_{2\,4}\{4\}$ results as a function of multiplicity ($N_{ch}$) in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV
The normalized asymmetric cumulant $nac_{2}\{3\}$ results as a function of multiplicity ($N_{ch}$) in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV
The $v_{2}\{2\}$ results as a function of multiplicity ($N_{ch}$) in pp collisions at $\sqrt{s_{NN}}$ = 13 TeV
The $v_{3}\{2\}$ results as a function of multiplicity ($N_{ch}$) in pp collisions at $\sqrt{s_{NN}}$ = 13 TeV
The $v_{4}\{2\}$ results as a function of multiplicity ($N_{ch}$) in pp collisions at $\sqrt{s_{NN}}$ = 13 TeV
The $v_{2}\{2\}$ results as a function of multiplicity ($N_{ch}$) in pPb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV
The $v_{3}\{2\}$ results as a function of multiplicity ($N_{ch}$) in pPb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV
The $v_{4}\{2\}$ results as a function of multiplicity ($N_{ch}$) in pPb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV
The $v_{2}\{2\}$ results as a function of multiplicity ($N_{ch}$) in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV
The $v_{3}\{2\}$ results as a function of multiplicity ($N_{ch}$) in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV
The $v_{4}\{2\}$ results as a function of multiplicity ($N_{ch}$) in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV
The $v_{2}\{2\}$ results as a function of multiplicity ($N_{ch}$) in pp collisions at $\sqrt{s_{NN}}$ = 13 TeV
The $v_{3}\{2\}$ results as a function of multiplicity ($N_{ch}$) in pp collisions at $\sqrt{s_{NN}}$ = 13 TeV
The $v_{4}\{2\}$ results as a function of multiplicity ($N_{ch}$) in pp collisions at $\sqrt{s_{NN}}$ = 13 TeV
The $v_{2}\{2\}$ results as a function of multiplicity ($N_{ch}$) in pPb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV
The $v_{3}\{2\}$ results as a function of multiplicity ($N_{ch}$) in pPb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV
The $v_{4}\{2\}$ results as a function of multiplicity ($N_{ch}$) in pPb collisions at $\sqrt{s_{NN}}$ = 5.02 TeV
The $v_{2}\{2\}$ results as a function of multiplicity ($N_{ch}$) in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV
The $v_{3}\{2\}$ results as a function of multiplicity ($N_{ch}$) in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV
The $v_{4}\{2\}$ results as a function of multiplicity ($N_{ch}$) in PbPb collisions at $\sqrt{s_{NN}}$ = 2.76 TeV
The symmetric cumulant $ac_{2}\{3\}$ in Pb+Pb from different methods
The symmetric cumulant $ac_{2}\{3\}$ in Pb+Pb from different methods
The symmetric cumulant $ac_{2}\{3\}$ in p+Pb from different methods
The symmetric cumulant $ac_{2}\{3\}$ in p+Pb from different methods
The symmetric cumulant $ac_{2}\{3\}$ in pp from different methods
The symmetric cumulant $ac_{2}\{3\}$ in pp from different methods
A search for lepton-flavor-violating $Z\to e\tau$ and $Z\to\mu\tau$ decays with $pp$ collision data recorded by the ATLAS detector at the LHC is presented. This analysis uses 139 fb$^{-1}$ of Run 2 $pp$ collisions at $\sqrt{s}=13$ TeV and is combined with the results of a similar ATLAS search in the final state in which the $\tau$-lepton decays hadronically, using the same data set as well as Run 1 data. The addition of leptonically decaying $\tau$-leptons significantly improves the sensitivity reach for $Z\to\ell\tau$ decays. The $Z\to\ell\tau$ branching fractions are constrained in this analysis to $\mathcal{B}(Z\to e\tau)<7.0\times10^{-6}$ and $\mathcal{B}(Z\to \mu\tau)<7.2\times10^{-6}$ at 95% confidence level. The combination with the previously published analyses sets the strongest constraints to date: $\mathcal{B}(Z\to e\tau)<5.0\times10^{-6}$ and $\mathcal{B}(Z\to \mu\tau)<6.5\times10^{-6}$ at 95% confidence level.
The best-fit predicted and observed distributions of the combined NN output in the low-$p_\text{T}$-SR for the $e\tau_\mu$ channel. The first and last bin include underflow and overflow events, respectively.
The best-fit predicted and observed distributions of the combined NN output in the low-$p_\text{T}$-SR for the $\mu\tau_e$ channel. The first and last bin include underflow and overflow events, respectively.
The best-fit predicted and observed distributions of the combined NN output in the high-$p_\text{T}$-SR for the $e\tau_\mu$ channel. The first and last bin include underflow and overflow events, respectively.
The best-fit predicted and observed distributions of the combined NN output in the high-$p_\text{T}$-SR for the $\mu\tau_e$ channel. The first and last bin include underflow and overflow events, respectively.
The best-fit predicted and observed distributions of the collinear mass $m_\text{coll}$ in the high-$p_\text{T}$-SR for the $e\tau_\mu$ channel. The first and last bin include underflow and overflow events, respectively.
The best-fit predicted and observed distributions of the collinear mass $m_\text{coll}$ in the high-$p_\text{T}$-SR for the $\mu\tau_e$ channel. The first and last bin include underflow and overflow events, respectively.
Observed and expected upper limits on $\mathcal{B}(Z\rightarrow\ell\tau)$ with leptonically decaying $\tau$ at 95% confidence level.
Observed and expected upper limits on $\mathcal{B}(Z\rightarrow\ell\tau)$ at 95% confidence level, combination of hadronically and leptonically decaying $\tau$ channels.
The best-fit predicted and observed distributions of the collinear mass $m_\text{coll}$ in the CRZ$\tau\tau$ for the $e\tau_\mu$ channel. The first and last bin include underflow and overflow events, respectively.
The best-fit predicted and observed distributions of the collinear mass $m_\text{coll}$ in the CRZ$\tau\tau$ for the $\mu\tau_e$ channel. The first and last bin include underflow and overflow events, respectively.
The best-fit predicted and observed distributions of the combined NN output in the CRZ$\tau\tau$ for the $e\tau_\mu$ channel. The first and last bin include underflow and overflow events, respectively.
The best-fit predicted and observed distributions of the combined NN output in the CRZ$\tau\tau$ for the $\mu\tau_e$ channel. The first and last bin include underflow and overflow events, respectively.
The best-fit predicted and observed distributions of the leading lepton transverse momentum $p_\text{T}(e)$ in the high-$p_\text{T}$-SR for the $e\tau_\mu$ channel. The first and last bin include underflow and overflow events, respectively.
The best-fit predicted and observed distributions of the leading lepton transverse momentum $p_\text{T}(\mu)$ in the high-$p_\text{T}$-SR for the $\mu\tau_e$ channel. The first and last bin include underflow and overflow events, respectively.
The best-fit predicted and observed distributions of the missing transverse momentum $E^\text{miss}_\text{T}$ in the low-$p_\text{T}$-SR for the $e\tau_\mu$ channel. The first and last bin include underflow and overflow events, respectively.
The best-fit predicted and observed distributions of the missing transverse momentum $E^\text{miss}_\text{T}$ in the low-$p_\text{T}$-SR for the $\mu\tau_e$ channel. The first and last bin include underflow and overflow events, respectively.
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