Investigation of $$(g-2)_{\mu }$$ ( g - 2 ) μ anomaly in the $$\mu $$ μ -specific 2HDM with vector like leptons and the phenomenological implications

Autor: Md. Raju, Abhi Mukherjee, Jyoti Prasad Saha
Jazyk: angličtina
Rok vydání: 2023
Předmět:
Zdroj: European Physical Journal C: Particles and Fields, Vol 83, Iss 5, Pp 1-17 (2023)
Druh dokumentu: article
ISSN: 1434-6052
DOI: 10.1140/epjc/s10052-023-11595-8
Popis: Abstract The anomalous magnetic moment of muons has been a long-standing problem in SM. The current deviation of experimental value of the $$(g-2)_{\mu }$$ ( g - 2 ) μ from the standard model prediction is exactly $$4.2\sigma $$ 4.2 σ . Two Higgs Doublet Models can accommodate this discrepancy but such type of model naturally generate flavor changing neutral current(FCNC). To prevent this it was postulated that 2HDM without FCNC required that all fermions of a given charge couple to the same Higgs boson but the rule breaks in Muon Specific Two Higgs Doublet Model where all fermions except muon couple to one Higgs doublet and muon with the other Higgs doublet. The muon specific 2HDM provides an explanation for muon anomaly for extremely large $$\tan \beta $$ tan β with a particular value of $$m_{12}^2$$ m 12 2 . As a result, the parameter space of $$m_{12}^2$$ m 12 2 drastically decreased for the muon anomaly solution. To evade the limitation of this model we have extended this model with a vector like lepton generation which could explain the muon anomaly at low $$\tan \beta $$ tan β value with a heavy pseudo scalar Higgs boson under the shadow of current experimental and theoretical constraints. Moreover, with the help of the cut based analysis and multivariate analysis methods, we have also attempted to shed some light on the potential experimental signature of vector lepton decay to the heavy Higgs boson in the LHC experiment. We have showed that a multivariate analysis can increase the vector like leptons signal significance even in the high VLL mass and low $$\tan \beta $$ tan β region than that of a cut based analysis.
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