Bayesian analysis of NmSuGra

Csaba Balázs, Daniel Carter

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    Abstract

    In anticipation of data from the Large Hadron Collider (LHC) and the potential discovery of supersymmetry, we calculate the odds of the next-to-minimal version of the popular supergravity motivated model (NmSuGra) being discovered at the LHC to be 4:3 (57%). We also demonstrate that viable regions of the NmSuGra parameter space outside the LHC reach can be covered by upgraded versions of dark matter direct detection experiments, such as super-CDMS, at 95% confidence level. Due to the similarities of the models, we expect very similar results for the constrained minimal supersymmetric standard model (CMSSM).

    Original languageEnglish
    Title of host publicationSUSY09 - The 17th International Conference on Supersymmetry and the Unification of Fundamental Interactions
    Pages478-481
    Number of pages4
    Volume1200
    DOIs
    Publication statusPublished - 2009
    Event17th International Conference on Supersymmetry and the Unification of Fundamental Interactions - Northeastern University, Boston, United States of America
    Duration: 5 Jan 200910 Jan 2009
    Conference number: 17
    http://nuweb.neu.edu/susy09/

    Conference

    Conference17th International Conference on Supersymmetry and the Unification of Fundamental Interactions
    Abbreviated title SUSY 2009
    CountryUnited States of America
    CityBoston
    Period5/01/0910/01/09
    Internet address

    Keywords

    • Collider physics
    • Statistical methods
    • Supersymmetry phenomenology

    Cite this

    Balázs, C., & Carter, D. (2009). Bayesian analysis of NmSuGra. In SUSY09 - The 17th International Conference on Supersymmetry and the Unification of Fundamental Interactions (Vol. 1200, pp. 478-481) https://doi.org/10.1063/1.3327638