Distinctive Higgs signals of a type II 2HDM at the LHC
Distinctive Higgs signals of a type II 2HDM at the LHC
We perform a numerical analysis of Higgs-to-Higgs decays within a type II two-Higgs-doublet model (2HDM), highlighting several channels that cannot occur in its supersymmetric version, thereby allowing one to possibly distinguish between these two scenarios. Our results are compliant with all available experimental bounds from both direct and indirect Higgs searches and with theoretical constraints from vacuum stability and perturbative unitarity.
55017
Kanemura, Shinya
5a122737-87c5-4da5-9bab-2d3332572303
Moretti, Stefano
b57cf0f0-4bc3-4e02-96e3-071255366614
Mukai, Yuki
040e7467-a605-4282-8711-5410c973deeb
Santos, Rui
7c5725f6-c057-46e1-96ff-6061c75e6f17
Yagyu, Kei
ecd84785-710b-4526-8b41-55ae605e633c
1 March 2009
Kanemura, Shinya
5a122737-87c5-4da5-9bab-2d3332572303
Moretti, Stefano
b57cf0f0-4bc3-4e02-96e3-071255366614
Mukai, Yuki
040e7467-a605-4282-8711-5410c973deeb
Santos, Rui
7c5725f6-c057-46e1-96ff-6061c75e6f17
Yagyu, Kei
ecd84785-710b-4526-8b41-55ae605e633c
Kanemura, Shinya, Moretti, Stefano, Mukai, Yuki, Santos, Rui and Yagyu, Kei
(2009)
Distinctive Higgs signals of a type II 2HDM at the LHC.
Physical Review D, D79, .
(doi:10.1103/PhysRevD.79.055017).
Abstract
We perform a numerical analysis of Higgs-to-Higgs decays within a type II two-Higgs-doublet model (2HDM), highlighting several channels that cannot occur in its supersymmetric version, thereby allowing one to possibly distinguish between these two scenarios. Our results are compliant with all available experimental bounds from both direct and indirect Higgs searches and with theoretical constraints from vacuum stability and perturbative unitarity.
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Published date: 1 March 2009
Identifiers
Local EPrints ID: 144409
URI: http://eprints.soton.ac.uk/id/eprint/144409
ISSN: 1550-7998
PURE UUID: 656b46a5-0f64-45a5-994b-e3a20ce64468
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Date deposited: 25 May 2010 12:16
Last modified: 14 Mar 2024 02:48
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Contributors
Author:
Shinya Kanemura
Author:
Yuki Mukai
Author:
Rui Santos
Author:
Kei Yagyu
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