Higgs Boson Discovery Versus Sparticles Prediction: Impact on the pMSSM's Posterior Samples from a Bayesian Global Fit

AbdusSalam, Shehu S. ; Choudhury, Debajyoti (2014) Higgs Boson Discovery Versus Sparticles Prediction: Impact on the pMSSM's Posterior Samples from a Bayesian Global Fit Universal Journal of Physics and Application, 8 (3). pp. 155-164. ISSN 2331-6535

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Official URL: http://doi.org/10.13189/ujpa.2014.020303

Related URL: http://dx.doi.org/10.13189/ujpa.2014.020303

Abstract

The signal strength of the recently discovered Higgs boson-like particle in the diphoton channel seemingly constrains physics beyond the standard model to a severe degree. However, the reported signal strength is prone to possible underestimation of uncertainties. We propose a discriminant that is relatively free of many of the theoretical uncertainties, and use this to gauge the impact on the phenomenological MSSM. A Bayesian global fit to all the pre-LHC data results in posterior distributions for the masses that is neither very restrictive, nor sufficiently prior-independent (except for the Higgs and stop masses). The imposition of the Higgs data, on the other hand, yields interesting and nearly prior-independent constraints. In particular, the existence of some light superpartners is favoured.

Item Type:Article
Source:Copyright of this article belongs to Horizon Research Publishing
Keywords:Sparticle; Bayesian; Minimal Supersymmetric Standard Model; Higgs Particle: mass
ID Code:132830
Deposited On:22 Dec 2022 09:35
Last Modified:22 Dec 2022 09:35

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