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Exploring vector-like supersymmetric extensions of the Standard Model with dark matter and colliders

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arxiv 1810.07224 v2 pith:OFUSTFOB submitted 2018-10-16 hep-ph

Exploring vector-like supersymmetric extensions of the Standard Model with dark matter and colliders

classification hep-ph
keywords darkmattermodelsupersymmetricminimalstandardvector-likepair
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Motivated by grand unification considerations, we analyze a simple extension of the minimal supersymmetric standard model with additional pairs of vector-like chiral supermultiplets. We focus on the so-called LND setup, which enlarges the particle content of the minimal model by two vector-like pairs of weak doublets (one pair of leptons and one pair of down-type quarks) and one vector-like pair of neutrino singlets. Imposing collider and low-energy constraints, sneutrinos and neutralinos both emerge as possible lightest supersymmetric particles and thus dark matter candidates. We perform a complete analysis of the dark sector and study the viability of these neutralino and sneutrino dark matter options. We show that cosmological considerations (the dark matter relic abundance and its direct and indirect detection signals) restrict neutralino dark matter to exhibit similar properties as in the minimal supersymmetric standard model, and impose the sneutrino dark matter candidate to be singlet-like, rather than doublet-like. Allowing the mixing of the fermionic component of the new supermultiplets with the Standard Model third generation fermions, we moreover demonstrate the existence of collider signals that are distinguishable from other, more minimal, supersymmetric scenarios by virtue of an enhanced production of events enriched in tau leptons. We furthermore show that this signature yields robust LHC signals, that could potentially be differentiated from the background in future data.

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Cited by 2 Pith papers

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  1. Prospects for probing neutral vector-like leptons via pair production at muon collider

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    Simulations indicate a 6 TeV muon collider with 4 ab^{-1} can reach >5σ significance for neutral doublet VLLs of 1.3-3 TeV mass using 4j2μ and 2ℓ2μ + missing energy channels under polarized beams.

  2. Machine learning study on single production of a singlet vectorlike lepton at the Large Hadron Collider

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    XGBoost machine learning improves discrimination in LHC searches for singlet vector-like leptons, yielding projected 2σ mass exclusion limits of 620 GeV (three-lepton) and 490 GeV (four-lepton) at 14 TeV with 3000 fb^{-1}.