Bayesian approach and naturalness in MSSM analyses for the LHC

@article{Cabrera2009BayesianAA,
  title={Bayesian approach and naturalness in MSSM analyses for the LHC},
  author={Maria Eugenia Cabrera and J. Alberto Casas and R. Ruiz de Austri},
  journal={Journal of High Energy Physics},
  year={2009},
  volume={2009},
  pages={075-075}
}
The start of LHC has motivated an effort to determine the relative probability of the different regions of the MSSM parameter space, taking into account the present, theoretical and experimental, wisdom about the model. Since the present experimental data are not powerful enough to select a small region of the MSSM parameter space, the choice of a judicious prior probability for the parameters becomes most relevant. Previous studies have proposed theoretical priors that incorporate some… Expand

Figures from this paper

MSSM forecast for the LHC
We perform a forecast of the MSSM with universal soft terms (CMSSM) for the LHC, based on an improved Bayesian analysis. We do not incorporate ad hoc measures of the fine-tuning to penalize unnaturalExpand
Efficient reconstruction of constrained MSSM parameters from LHC data: A case study
We present an efficient method of reconstructing the parameters of the constrained MSSM from assumed future LHC data, applied both on their own right and in combination with the cosmologicalExpand
The health of SUSY after the Higgs discovery and the XENON100 data
A bstractWe analyze the implications for the status and prospects of supersymmetry of the Higgs discovery and the last XENON data. We focus mainly, but not only, on the CMSSM and NUHM models. Using aExpand
Likelihood analysis of the next-to-minimal supergravity motivated model
In anticipation of data from the Large Hadron Collider (LHC) and the potential discovery of supersymmetry, in this work we seek an answer to the following: What are the chances that supersymmetryExpand
Likelihood analysis of the next-to-minimal supergravity motivated model
In anticipation of data from the Large Hadron Collider (LHC) and the potential discovery of supersymmetry, in this work we seek an answer to the following: What are the chances that supersymmetryExpand
Bayesian Study and Naturalness in MSSM Forecast for the LHC
We perform a forecast of the CMSSM for the LHC based in an improved Bayesian analysis taking into account the present theoretical and experimental wisdom about the model. In this way we obtain a mapExpand
Is the CNMSSM more credible than the CMSSM?
With Bayesian statistics, we investigate the full parameter space of the constrained “next-to-minimal” supersymmetric standard model (CNMSSM) with naturalness priors, which were derived in a previousExpand
Chasing SUSY Through Parameter Space
In this thesis we explore several physics scenarios based on the Minimal Supersymmetric Standard Model (MSSM) and its extension in terms of Rparity violation. We derive predictions for, and analyseExpand
Fitting the Phenomenological MSSM
We perform a global Bayesian fit of the phenomenological minimal supersymmetric standard model (pMSSM) to current indirect collider and dark matter data. The pMSSM contains the most relevant 25Expand
The fine-tuning cost of the likelihood in SUSY models.
Abstract In SUSY models, the fine-tuning of the electroweak (EW) scale with respect to their parameters γ i = { m 0 , m 1 / 2 , μ 0 , A 0 , B 0 , … } and the maximal likelihood L to fit theExpand
...
1
2
3
4
5
...

References

SHOWING 1-10 OF 62 REFERENCES
The impact of priors and observables on parameter inferences in the constrained MSSM
We use a newly released version of the SuperBayeS code to analyze the impact of the choice of priors and the influence of various constraints on the statistical conclusions for the preferred valuesExpand
Natural priors, CMSSM fits and LHC weather forecasts
Previous LHC forecasts for the constrained minimal supersymmetric standard model (CMSSM), based on current astrophysical and laboratory measurements, have used priors that are flat in the parameterExpand
Implications for the Constrained MSSM from a new prediction for b to s gamma
We re-examine the properties of the Constrained MSSM in light of updated constraints, paying particular attention to the impact of the recent substantial shift in the Standard Model prediction for →Expand
Naturalness priors and fits to the constrained minimal supersymmetric Standard Model
Abstract We examine the effect of a prior that favours low values of fine-tuning on Bayesian multi-dimensional fits of the constrained minimal supersymmetric Standard Model (CMSSM or mSUGRA) toExpand
Predictions for supersymmetric particle masses using indirect experimental and cosmological constraints
In view of the imminent start of the LHC experimental programme, we use the available indirect experimental and cosmological information to estimate the likely range of parameters of the constrainedExpand
A Markov chain Monte Carlo analysis of the CMSSM
We perform a comprehensive exploration of the Constrained MSSM parameter space employing a Markov Chain Monte Carlo technique and a Bayesian analysis. We compute superpartner masses and otherExpand
Bayes in the sky: Bayesian inference and model selection in cosmology
The application of Bayesian methods in cosmology and astrophysics has flourished over the past decade, spurred by data sets of increasing size and complexity. In many respects, Bayesian methods haveExpand
Naturalness of supersymmetric models
After presenting a simple procedure for testing naturalness (similar to Bayesian inference and not more subjective than it) we show that LEP2 experiments pose a naturalness problem for `conventional'Expand
One-loop analysis of the electroweak breaking in supersymmetric models and the fine-tuning problem
Abstract We examine the electroweak breaking mechanism in the minimal supersymmetric standard model (MSSM) using the complete one-loop effective potential V1. First, we study what is the region ofExpand
Focus points and naturalness in supersymmetry
We analyze focus points in supersymmetric theories, where a parameter's renormalization group trajectories meet for a family of ultraviolet boundary conditions. We show that in a class of modelsExpand
...
1
2
3
4
5
...