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Search for low-mass dijet resonances using trigger-level jets with the ATLAS detector in $pp$ collisions at $\sqrt{s}=13$ TeV

The ATLAS collaboration
Phys.Rev.Lett. 121 (2018) 081801, 2018

Abstract (data abstract)
Searches for dijet resonances with sub-TeV masses using the ATLAS detector at the Large Hadron Collider can be statistically limited by the bandwidth available to inclusive single-jet triggers, whose data-collection rates at low transverse momentum are much lower than the rate from Standard Model multijet production. This data refers to a search for dijet resonances using a strategy called "Trigger-object Level Analysis" (TLA) in ATLAS, where the limitation on high-rate events that can be used for the search is overcome by recording only the event information calculated by the jet trigger algorithms, thereby allowing much higher event rates with reduced storage needs. There are two event selections leading to two signal regions in the search, one with |y*| < 0.3 and one with |y*| < 0.6. The definition of y* is (y1-y2)/2, where y1 and y2 are the rapidities of the highest- and second-highest-pT trigger-level jets. The event selection for the |y*| < 0.3 region is: - highest-pT-jet > 185 GeV - second-highest-pT-jet > 85 GeV - dijet invariant mass > 400 GeV - |y*| < 0.3 The event selection for the |y*| < 0.6 region is: - highest-pT-jet > 220 GeV - second-highest-pT-jet > 85 GeV - dijet invariant mass > 531 GeV - |y*| < 0.6 The background is calculated using two different fit functions, using a sliding window algorithm described in the paper. The systematic uncertainties on the background account for the choice of the fit function (called "sys, fit function") and for the uncertainties on the fit parameters due to the statistical error of the data (called "sys, fit parameters"). The fit function uncertainty is a one-sided systematic uncertainty. No significant excess with respect to the background prediction is found in the data. The results is interpreted in the paper in terms of a leptophobic mediator of dark matter as in arXiv:1507.00966, here we report the 95% CL limit on Gaussian-shaped resonant processes that can be used to constrain generic resonant processes as described in Appendix A of arXiv:1407.1376.

  • Table 1

    Data from Figure 4 of paper

    10.17182/hepdata.84597.v1/t1

    Data, estimated background and uncertainties, in the region defined by |y*|<0.3.

  • Table 2

    Data from Figure 4 of paper

    10.17182/hepdata.84597.v1/t2

    Data, estimated background and uncertainties, in the region defined by |y*|<0.6.

  • Table 3

    Data from Figure 6 of paper

    10.17182/hepdata.84597.v1/t3

    Observed 95% CL limit on cross section times acceptance times branching ratio for each width and mass of Gaussian signal...

  • Table 4

    Data from Figure 6 of paper

    10.17182/hepdata.84597.v1/t4

    Expected 95% CL limit on cross section times acceptance times branching ratio for each width and mass of Gaussian signal...

  • Table 5

    Data from Figure 6 of paper

    10.17182/hepdata.84597.v1/t5

    Observed 95% CL limit on cross section times acceptance times branching ratio for each width and mass of Gaussian signal...

  • Table 6

    Data from Figure 6 of paper

    10.17182/hepdata.84597.v1/t6

    Expected 95% CL limit on cross section times acceptance times branching ratio for each width and mass of Gaussian signal...

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