Please use this identifier to cite or link to this item: http://hdl.handle.net/11452/33970
Title: Large BR(h -> tau mu) in supersymmetric models
Authors: Hammad, Ahmed
Khalil, Shaaban
Uludağ Üniversitesi/Fen-Edebiyat Fakültesi/Fizik Bölümü.
0000-0002-0595-8803
Ün, Cem Salih
N-3421-2014
55325758100
Keywords: Astronomy & astrophysics
Physics
Lepton-flavor violation
Standard model
Seesaw
Issue Date: 31-Mar-2017
Publisher: Amer Phyical Society
Citation: Hammad, A. vd. (2017). ''Large BR(h -> tau mu) in supersymmetric models''. Physical Review D, 95(5).
Abstract: We analyze the lepton flavor-violating (LFV) Higgs decay h -> tau mu in three supersymmetric models: the minimal supersymmetric Standard Model, supersymmetric seesaw model, and supersymmetric B-L model with inverse seesaw (BLSSM-IS). We show that it is not possible to enhance BR(h ->tau mu) without violating the experimental bound on the BRd (tau -> mu gamma) in the generic minimal supersymmetric Standard Model, with nonuniversal slepton masses and/or trilinear couplings. In the supersymmetric seesaw model, where flavor mixing is radiatively generated, the LFV process mu -> e gamma strongly constrains the parameter space, and the maximum value of BR(h -> tau mu) is of order 10(-10), which is much smaller than the recent results reported by the CMS and ATLAS experiments. On the other hand, in the BLSSM-IS with universal soft supersymmetry-breaking terms defined at the grand unified scale, BR(h -> tau mu) can be accommodated in a wide region of the parameter space without violating LFV constraints. Even though the background processes in the LHC have very small cross sections, we also analyze the possible signal within the BLSSM-IS over the relevant background processes and show that a signal can be extracted. The analysis shows that confirmation of the LFV Higgs boson decay reported by CMS and ATLAS would favor the BLSSM-IS class of models.
URI: https://doi.org/10.1103/PhysRevD.95.055028
https://journals.aps.org/prd/abstract/10.1103/PhysRevD.95.055028
http://hdl.handle.net/11452/33970
ISSN: 2470-0010
2470-0029
Appears in Collections:Scopus
Web of Science

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