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Higgs assisted razor search for Higgsinos at a 100 TeV pp collider

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Abstract

A 100 TeV proton-proton collider will be an extremely effective way to probe the electroweak sector of the minimal supersymmetric standard model (MSSM). In this paper, we describe a search strategy for discovering pair-produced Higgsino-like next-to-lightest supersymmetric particles (NLSPs) at a 100 TeV hadron collider that decay to Bino-like lightest supersymmetric particles (LSPs) via intermediate Z and SM Higgs bosons that in turn decay to a pair of leptons and a pair of b-quarks respectively: \(\widetilde\chi _2^0\widetilde\chi _3^0 \to ({\rm{Z}}\widetilde\chi _1^0)(h\widetilde\chi _1^0) \to bb\;\ell \ell + \widetilde\chi _1^0\widetilde\chi _1^0\) In addition, we examine the potential for machine learning techniques to boost the power of our searches. Using this analysis, Higgsinos up to 1.4 TeV can be discovered at the 5σ level for Binos with mass of about 0.9 TeV using 3000 fb−1 of data. Additionally, Higgsinos up to 1.8 TeV can be excluded at 95% C.L. for Binos with mass of about 1.4 TeV. This search channel extends the multi-lepton search limits, especially in the region where the mass difference between the Higgsino NLSPs and the Bino LSP is small.

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  1. School of Information, University of Arizona, Tucson, AZ, 85721, USA

    Adarsh Pyarelal

  2. Department of Physics, University of Arizona, Tucson, AZ, 85718, USA

    ShuFang Su

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This research was supported in part by the National Science Foundation, USA (Grant No. NSF PHY-1748958). The research activities of AP and SS were supported in part by the Department of Energy (Grant No. DEFG02-13ER41976/de-sc0009913). We would like to thank Matt Leone and Ken Johns for helpful discussions. An allocation of computer time from the UA Research Computing High Performance Computing (HPC) and High Throughput Computing (HTC) at the University of Arizona is gratefully acknowledged. We also thank KITP for its hospitality when this draft was completed.

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Pyarelal, A., Su, S. Higgs assisted razor search for Higgsinos at a 100 TeV pp collider. Sci. China Phys. Mech. Astron. 63, 101011 (2020). https://doi.org/10.1007/s11433-019-1517-5

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