Showing 7 of 617 results
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.
This Letter presents the observation and measurement of electroweak production of a same-sign $W$ boson pair in association with two jets using 36.1 fb$^{-1}$ of proton-proton collision data recorded at a center-of-mass energy of $\sqrt{s}=13$ TeV by the ATLAS detector at the Large Hadron Collider. The analysis is performed in the detector fiducial phase-space region, defined by the presence of two same-sign leptons, electron or muon, and at least two jets with a large invariant mass and rapidity difference. A total of 122 candidate events are observed for a background expectation of $69 \pm 7$ events, corresponding to an observed signal significance of 6.5 standard deviations. The measured fiducial signal cross section is $\sigma^{\mathrm {fid.}}=2.89^{+0.51}_{-0.48} \mathrm{(stat.)} ^{+0.29}_{-0.28} \mathrm{(syst.)}$ fb.
Measured fiducial cross section.
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.
Excess transverse momenta in jet in PbPb compared to pp collisions in different centrality selections for abs(jet rapidity) < 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 particles 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.
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.
Results of a search for the pair production of photon-jets$-$collimated groupings of photons$-$in the ATLAS detector at the Large Hadron Collider are reported. Highly collimated photon-jets can arise from the decay of new, highly boosted particles that can decay to multiple photons collimated enough to be identified in the electromagnetic calorimeter as a single, photonlike energy cluster. Data from proton-proton collisions at a center-of-mass energy of 13 TeV, corresponding to an integrated luminosity of 36.7 fb$^{-1}$, were collected in 2015 and 2016. Candidate photon-jet pair production events are selected from those containing two reconstructed photons using a set of identification criteria much less stringent than that typically used for the selection of photons, with additional criteria applied to provide improved sensitivity to photon-jets. Narrow excesses in the reconstructed diphoton mass spectra are searched for. The observed mass spectra are consistent with the Standard Model background expectation. The results are interpreted in the context of a model containing a new, high-mass scalar particle with narrow width, $X$, that decays into pairs of photon-jets via new, light particles, $a$. Upper limits are placed on the cross section times the product of branching ratios $\sigma \times \mathcal{B}(X \rightarrow aa) \times \mathcal {B}(a \rightarrow \gamma \gamma)^{2}$ for 200 GeV $< m_{X} <$ 2 TeV and for ranges of $ m_a $ from a lower mass of 100 MeV up to between 2 and 10 GeV, depending upon $ m_X $. Upper limits are also placed on $\sigma \times \mathcal{B}(X \rightarrow aa) \times \mathcal {B}(a \rightarrow 3\pi^{0})^{2}$ for the same range of $ m_X $ and for ranges of $ m_a $ from a lower mass of 500 MeV up to between 2 and 10 GeV.
Distribution of the reconstructed diphoton mass for data events passing the analysis selection, in the low-$\Delta E$ category. There are no data events above 2700 GeV.
Distribution of the reconstructed diphoton mass for data events passing the analysis selection, in the high-$\Delta E$ category. There are no data events above 2700 GeV.
The observed upper limits on the production cross-section times the product of branching ratios for the benchmark signal scenario involving a scalar particle $X$ with narrow width decaying via $X\rightarrow aa\rightarrow 4\gamma$, $\sigma_X\times B(X\rightarrow aa)\times B(a\rightarrow\gamma\gamma)^2$. The limits for $m_{a}$ = 5 GeV and 10 GeV do not cover as large a range as the other mass points, since the region of interest is limited to $ m_{a} < 0.01 \times m_{X}$.
The expected upper limits on the production cross-section times the product of branching ratios for the benchmark signal scenario involving a scalar particle $X$ with narrow width decaying via $X\rightarrow aa\rightarrow 4\gamma$, $\sigma_X\times B(X\rightarrow aa)\times B(a\rightarrow\gamma\gamma)^2$. The limits for $m_{a}$ = 5 GeV and 10 GeV do not cover as large a range as the other mass points, since the region of interest is limited to $ m_{a} < 0.01 \times m_{X}$. Additionally, the expected limits are not provided for a small number of points, indicated with a hyphen, because of a technical failure with the computation.
The observed upper limits on the production cross-section times the product of branching ratios for the benchmark signal scenario involving a scalar particle $X$ with narrow width decaying via $X\rightarrow aa\rightarrow 6\pi^0$, $\sigma_X\times B(X\rightarrow aa)\times B(a\rightarrow 3\pi^0)^2$. The limits for $m_{a}$ = 5 GeV and 10 GeV do not cover as large a range as the other mass points, since the region of interest is limited to $ m_{a} < 0.01 \times m_{X}$.
The expected upper limits on the production cross-section times the product of branching ratios for the benchmark signal scenario involving a scalar particle $X$ with narrow width decaying via $X\rightarrow aa\rightarrow 6\pi^0$, $\sigma_X\times B(X\rightarrow aa)\times B(a\rightarrow 3\pi^0)^2$. The limits for $m_{a}$ = 5 GeV and 10 GeV do not cover as large a range as the other mass points, since the region of interest is limited to $ m_{a} < 0.01 \times m_{X}$. Additionally, the expected limits are not provided for a small number of points, indicated with a hyphen, because of a technical failure with the computation.
Observed 95% CL upper limits on the visible cross section as a function of $m_X$ and the fraction of events in the low-$\Delta E$ category.
Selection efficiency for reconstructed photons originating from the decay $a\rightarrow 2\gamma$ with $m_a$ = 0.1 GeV.
Selection efficiency for reconstructed photons originating from the decay $a\rightarrow 2\gamma$ with $m_a$ = 0.5 GeV.
Selection efficiency for reconstructed photons originating from the decay $a\rightarrow 2\gamma$ with $m_a$ = 0.7 GeV.
Selection efficiency for reconstructed photons originating from the decay $a\rightarrow 2\gamma$ with $m_a$ = 1 GeV.
Selection efficiency for reconstructed photons originating from the decay $a\rightarrow 2\gamma$ with $m_a$ = 2 GeV.
Selection efficiency for reconstructed photons originating from the decay $a\rightarrow 2\gamma$ with $m_a$ = 5 GeV.
Selection efficiency for reconstructed photons originating from the decay $a\rightarrow 2\gamma$ with $m_a$ = 10 GeV.
Selection efficiency for reconstructed photons originating from the decay $a\rightarrow 3\pi^0\rightarrow 6\gamma$ with $m_a$ = 0.5 GeV.
Selection efficiency for reconstructed photons originating from the decay $a\rightarrow 3\pi^0\rightarrow 6\gamma$ with $m_a$ = 0.7 GeV.
Selection efficiency for reconstructed photons originating from the decay $a\rightarrow 3\pi^0\rightarrow 6\gamma$ with $m_a$ = 1 GeV.
Selection efficiency for reconstructed photons originating from the decay $a\rightarrow 3\pi^0\rightarrow 6\gamma$ with $m_a$ = 2 GeV.
Selection efficiency for reconstructed photons originating from the decay $a\rightarrow 3\pi^0\rightarrow 6\gamma$ with $m_a$ = 5 GeV.
Selection efficiency for reconstructed photons originating from the decay $a\rightarrow 3\pi^0\rightarrow 6\gamma$ with $m_a$ = 10 GeV.
Fraction of reconstructed photons with a value of shower shape variable $\Delta E$ lower than the threshold, for reconstructed photons originating from the decay $a\rightarrow 2\gamma$ with $m_a$ = 0.1 GeV.
Fraction of reconstructed photons with a value of shower shape variable $\Delta E$ lower than the threshold, for reconstructed photons originating from the decay $a\rightarrow 2\gamma$ with $m_a$ = 0.5 GeV.
Fraction of reconstructed photons with a value of shower shape variable $\Delta E$ lower than the threshold, for reconstructed photons originating from the decay $a\rightarrow 2\gamma$ with $m_a$ = 0.7 GeV.
Fraction of reconstructed photons with a value of shower shape variable $\Delta E$ lower than the threshold, for reconstructed photons originating from the decay $a\rightarrow 2\gamma$ with $m_a$ = 1 GeV.
Fraction of reconstructed photons with a value of shower shape variable $\Delta E$ lower than the threshold, for reconstructed photons originating from the decay $a\rightarrow 2\gamma$ with $m_a$ = 2 GeV.
Fraction of reconstructed photons with a value of shower shape variable $\Delta E$ lower than the threshold, for reconstructed photons originating from the decay $a\rightarrow 2\gamma$ with $m_a$ = 5 GeV.
Fraction of reconstructed photons with a value of shower shape variable $\Delta E$ lower than the threshold, for reconstructed photons originating from the decay $a\rightarrow 2\gamma$ with $m_a$ = 10 GeV.
Fraction of reconstructed photons with a value of shower shape variable $\Delta E$ lower than the threshold, for reconstructed photons originating from the decay $a\rightarrow 3\pi^0\rightarrow 6\gamma$ with $m_a$ = 0.5 GeV.
Fraction of reconstructed photons with a value of shower shape variable $\Delta E$ lower than the threshold, for reconstructed photons originating from the decay $a\rightarrow 3\pi^0\rightarrow 6\gamma$ with $m_a$ = 0.7 GeV.
Fraction of reconstructed photons with a value of shower shape variable $\Delta E$ lower than the threshold, for reconstructed photons originating from the decay $a\rightarrow 3\pi^0\rightarrow 6\gamma$ with $m_a$ = 1 GeV.
Fraction of reconstructed photons with a value of shower shape variable $\Delta E$ lower than the threshold, for reconstructed photons originating from the decay $a\rightarrow 3\pi^0\rightarrow 6\gamma$ with $m_a$ = 2 GeV.
Fraction of reconstructed photons with a value of shower shape variable $\Delta E$ lower than the threshold, for reconstructed photons originating from the decay $a\rightarrow 3\pi^0\rightarrow 6\gamma$ with $m_a$ = 5 GeV.
Fraction of reconstructed photons with a value of shower shape variable $\Delta E$ lower than the threshold, for reconstructed photons originating from the decay $a\rightarrow 3\pi^0\rightarrow 6\gamma$ with $m_a$ = 10 GeV.
Selection efficiency for photons originating from the BSM process $X\rightarrow\gamma\gamma$, where the $X$ particle is a high-mass narrow-width scalar particle originating from the gluon--gluon fusion process.
Fraction of photons with a value of shower shape variable $\Delta E$ lower than the threshold, for photons originating from the BSM process $X\rightarrow\gamma\gamma$, where the $X$ particle is a high-mass narrow-width scalar particle originating from the gluon--gluon fusion process.
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.
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.
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 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.
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