Universal Journal of Physics and Application Vol. 8(3), pp. 155 - 164
DOI: 10.13189/ujpa.2014.020303
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Higgs Boson Discovery Versus Sparticles Prediction: Impact on the pMSSM's Posterior Samples from a Bayesian Global Fit

Shehu S. AbdusSalam ^1,*, Debajyoti Choudhury ^2
1 The Abdus Salam International Centre for Theoretical Physics, Strada Costiera 11, Trieste 34014, Italy
² Department of Physics and Astrophysics, University of Delhi, Delhi 110007, India

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.

KEYWORDS
Sparticle, Bayesian, Minimal Supersymmetric Standard Model, Higgs Particle: mass

Cite This Paper in IEEE or APA Citation Styles
(a). IEEE Format:
[1] Shehu S. AbdusSalam , Debajyoti Choudhury , "Higgs Boson Discovery Versus Sparticles Prediction: Impact on the pMSSM's Posterior Samples from a Bayesian Global Fit," Universal Journal of Physics and Application, Vol. 8, No. 3, pp. 155 - 164, 2014. DOI: 10.13189/ujpa.2014.020303.

(b). APA Format:
Shehu S. AbdusSalam , Debajyoti Choudhury (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), 155 - 164. DOI: 10.13189/ujpa.2014.020303.