Stochastic resolution of the LHC inverse problem

Csaba Balázs, Dilani Kahawala

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    2 Citations (Scopus)

    Abstract

    We quantify the LHC inverse problem in the stochastic context by introducing a robust statistical discriminator mapping from the experimental signature space to the theory parameter space. Using this discriminator, after complementing LHC data by existing astrophysical, collider, and low energy measurements, we are able to significantly reduce the inverse problem. Our approach offers an essentially prior independent way to differentiate regions of the theory parameter space and uses LHC and other data on the same footing.

    Original languageEnglish
    Title of host publicationSUSY09 - The 17th International Conference on Supersymmetry and the Unification of Fundamental Interactions
    Pages482-485
    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

    • Dark matter
    • Rare decays
    • Supersymmetric standard model
    • Supersymmetry phenomenology

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