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Searching for the minimal Seesaw models at the LHC and beyond

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arxiv 1803.10940 v1 pith:SLPUBJ52 submitted 2018-03-29 hep-ph hep-ex

classification hep-phhep-ex
keywords neutrinoscolliderrhnsseesawfuturemodelmodelsdi-lepton
verification ladder T0 review T1 audit T2 compute T3 formal
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abstract

The existence of the tiny neutrino mass and the flavor mixing can be naturally explained by type-I Seesaw model which is probably the simplest extension of the Standard Model (SM) using Majorana type SM gauge singlet heavy Right Handed Neutrinos (RHNs). If the RHNs are around the Electroweak(EW)-scale having sizable mixings with the SM light neutrinos, they can be produced at the high energy colliders such as Large Hadron Collider (LHC) and future $100$ TeV proton-proton (pp) collider through the characteristic signatures with same sign di-lepton introducing lepton number violations(LNV). On the other hand Seesaw models, namely inverse Seesaw, with small LNV parameter can accommodate EW-scale pseudo-Dirac neutrinos with sizable mixings with SM light neutrinos while satisfying the neutrino oscillation data. Due to the smallness of the LNV parameter of such models, the `smoking-gun' signature of same-sign di-lepton is suppressed where as the RHNs in the model will manifest at the LHC and future $100$ TeV pp collider dominantly through the Lepton number conserving (LNC) trilepton final state with Missing Transverse Energy (MET). Studying various production channels of such RHNs we give an updated upper bound on the mixing parameters of the light-heavy neutrinos at the 13 TeV LHC and future 100 TeV pp collider.

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Cited by 2 Pith papers

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    A two-step diagonalization plus a dummy-particle trick lets standard event generators simulate GeV-scale sterile neutrino oscillations with crossing-width terms, and a QFT derivation gives displaced-vertex distances.

  2. Right-handed neutrinos: seesaw models and signatures

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    A pedagogical review that explains how adding right-handed neutrinos can generate small neutrino masses through seesaw mechanisms and what experimental signatures such models predict.

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