Abstract

Searches for monojet plus missing transverse momentum signatures are sensitive to new phenomena involving invisible particles, such as the pair-production of dark matter, one particularly well motivated possibility. We report on the expected sensitivity to dark matter in monojet signatures at an upgraded LHC with the ATLAS detector. The effective field theory models typically used for monojet dark matter interpretations have validity limitations. These are addressed both through applying additional constraints, and through a first look at the use of simplified models of dark matter pair-production.

Highlights

  • Introduction data taking periods of interest for both the LHC andOne of the most sensitive channels for generic Dark Matter (DM) searches at the LHC is the monojet plus missing transverse momentum (EmT iss) topology

  • Searches for monojet plus missing transverse momentum signatures are sensitive to new phenomena involving invisible particles, such as the pair-production of dark matter, one well motivated possibility

  • One of the most sensitive channels for generic Dark Matter (DM) searches at the LHC is the monojet plus missing transverse momentum (EmT iss) topology

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Summary

Introduction data taking periods of interest for both the LHC and

One of the most sensitive channels for generic Dark Matter (DM) searches at the LHC is the monojet plus missing transverse momentum (EmT iss) topology. Such searches benefit immensely from the increased centre of mass energy, it is important to understand what can be expected at the upgraded LHC, both in the coming year and in the more distant future. The luminosity scenarios considered and their associated pileup conditions are 5 fb−1 ( μ =60, first months), 25 fb−1 ( μ =60, first year), 300 fb−1 ( μ =60, LHC program), and 3000 fb−1 ( μ =140, HL-LHC program), where μ is the average number of collisions per bunch crossing. The D5 Effective Field Theory (EFT) operator [4] and the Z simplified model [5] are used as benchmarks for

Simulation and event selection
Expected sensitivity
Simplified models
Model validity
Conclusions

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