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2014
DOI: 10.1007/jhep04(2014)093
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General focus point in the MSSM

Abstract: Abstract:The minimal supersymmetric extension of the Standard Model (SM) is a well motivated scenario for physics beyond the SM, which allows a perturbative description of the theory up to scales of the order of the Grand Unification scale, where gauge couplings unify. The Higgs mass parameter is insensitive to the ultraviolet physics and is only sensitive to the scale of soft supersymmetry breaking parameters. Present collider bounds suggest that the characteristic values of these parameters may be significan… Show more

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Cited by 15 publications
(15 citation statements)
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“…It is well-known that such a heavy gluino spoils the success of several models which consider the HB/FP region [64][65][66][67][68][69][70][71]. However, as we will show, this does not happen in our case.…”
Section: Sparticles Searchesmentioning
confidence: 62%
See 2 more Smart Citations
“…It is well-known that such a heavy gluino spoils the success of several models which consider the HB/FP region [64][65][66][67][68][69][70][71]. However, as we will show, this does not happen in our case.…”
Section: Sparticles Searchesmentioning
confidence: 62%
“…Indeed, using fitting techniques, we can verify the following formula H2 of H 2 becomes independent of the asymptotic value of the parameter m 0 . This is called the focus point (FP) region [22][23][24].…”
Section: The Hyperbolic Branch/focus Point Regionmentioning
confidence: 99%
See 1 more Smart Citation
“…These two quantities are related by renormalization group equations (RGEs), which can be solved numerically. The dependence of the LS parameters on the input parameters take the form of [23,78]…”
Section: The Barbieri-giudice Measurementioning
confidence: 99%
“…To this end, consider m 2 Hu (M SUSY ) of Eq. (2.5), where we now explicitly show the value of the numerical coefficients using M SUSY = 1 TeV, tan β=10, a high-scale value of 10 16 GeV and the usual values for the SM input parameters [23,78]…”
Section: Dependence On High-scale Model Assumptionsmentioning
confidence: 99%